diff --git a/.nojekyll b/.nojekyll new file mode 100644 index 00000000..e69de29b diff --git a/assets/highlight.css b/assets/highlight.css new file mode 100644 index 00000000..f873ba59 --- /dev/null +++ b/assets/highlight.css @@ -0,0 +1,134 @@ +:root { + --light-hl-0: #008000; + --dark-hl-0: #6A9955; + --light-hl-1: #AF00DB; + --dark-hl-1: #C586C0; + --light-hl-2: #000000; + --dark-hl-2: #D4D4D4; + --light-hl-3: #001080; + --dark-hl-3: #9CDCFE; + --light-hl-4: #A31515; + --dark-hl-4: #CE9178; + --light-hl-5: #0000FF; + --dark-hl-5: #569CD6; + --light-hl-6: #0070C1; + --dark-hl-6: #4FC1FF; + --light-hl-7: #795E26; + --dark-hl-7: #DCDCAA; + --light-hl-8: #098658; + --dark-hl-8: #B5CEA8; + --light-hl-9: #000000; + --dark-hl-9: #C8C8C8; + --light-hl-10: #811F3F; + --dark-hl-10: #D16969; + --light-hl-11: #D16969; + --dark-hl-11: #CE9178; + --light-hl-12: #000000; + --dark-hl-12: #D7BA7D; + --light-hl-13: #CD3131; + --dark-hl-13: #F44747; + --light-hl-14: #000000FF; + --dark-hl-14: #D4D4D4; + --light-hl-15: #EE0000; + --dark-hl-15: #D7BA7D; + --light-code-background: #FFFFFF; + --dark-code-background: #1E1E1E; +} + +@media (prefers-color-scheme: light) { :root { + --hl-0: var(--light-hl-0); + --hl-1: var(--light-hl-1); + --hl-2: var(--light-hl-2); + --hl-3: var(--light-hl-3); + --hl-4: var(--light-hl-4); + --hl-5: var(--light-hl-5); + --hl-6: var(--light-hl-6); + --hl-7: var(--light-hl-7); + --hl-8: var(--light-hl-8); + --hl-9: var(--light-hl-9); + --hl-10: var(--light-hl-10); + --hl-11: var(--light-hl-11); + --hl-12: var(--light-hl-12); + --hl-13: var(--light-hl-13); + --hl-14: var(--light-hl-14); + --hl-15: var(--light-hl-15); + --code-background: var(--light-code-background); +} } + +@media (prefers-color-scheme: dark) { :root { + --hl-0: var(--dark-hl-0); + --hl-1: var(--dark-hl-1); + --hl-2: var(--dark-hl-2); + --hl-3: var(--dark-hl-3); + --hl-4: var(--dark-hl-4); + --hl-5: var(--dark-hl-5); + --hl-6: var(--dark-hl-6); + --hl-7: var(--dark-hl-7); + --hl-8: var(--dark-hl-8); + --hl-9: var(--dark-hl-9); + --hl-10: var(--dark-hl-10); + --hl-11: var(--dark-hl-11); + --hl-12: var(--dark-hl-12); + --hl-13: var(--dark-hl-13); + --hl-14: var(--dark-hl-14); + --hl-15: var(--dark-hl-15); + --code-background: var(--dark-code-background); +} } + +:root[data-theme='light'] { + --hl-0: var(--light-hl-0); + --hl-1: var(--light-hl-1); + --hl-2: var(--light-hl-2); + --hl-3: var(--light-hl-3); + --hl-4: var(--light-hl-4); + --hl-5: var(--light-hl-5); + --hl-6: var(--light-hl-6); + --hl-7: var(--light-hl-7); + --hl-8: var(--light-hl-8); + --hl-9: var(--light-hl-9); + --hl-10: var(--light-hl-10); + --hl-11: var(--light-hl-11); + --hl-12: var(--light-hl-12); + --hl-13: var(--light-hl-13); + --hl-14: var(--light-hl-14); + --hl-15: var(--light-hl-15); + --code-background: var(--light-code-background); +} + +:root[data-theme='dark'] { + --hl-0: var(--dark-hl-0); + --hl-1: var(--dark-hl-1); + --hl-2: var(--dark-hl-2); + --hl-3: var(--dark-hl-3); + --hl-4: var(--dark-hl-4); + --hl-5: var(--dark-hl-5); + --hl-6: var(--dark-hl-6); + --hl-7: var(--dark-hl-7); + --hl-8: var(--dark-hl-8); + --hl-9: var(--dark-hl-9); + --hl-10: var(--dark-hl-10); + --hl-11: var(--dark-hl-11); + --hl-12: var(--dark-hl-12); + --hl-13: var(--dark-hl-13); + --hl-14: var(--dark-hl-14); + --hl-15: var(--dark-hl-15); + --code-background: var(--dark-code-background); +} + +.hl-0 { color: var(--hl-0); } +.hl-1 { color: var(--hl-1); } +.hl-2 { color: var(--hl-2); } +.hl-3 { color: var(--hl-3); } +.hl-4 { color: var(--hl-4); } +.hl-5 { color: var(--hl-5); } +.hl-6 { color: var(--hl-6); } +.hl-7 { color: var(--hl-7); } +.hl-8 { color: var(--hl-8); } +.hl-9 { color: var(--hl-9); } +.hl-10 { color: var(--hl-10); } +.hl-11 { color: var(--hl-11); } +.hl-12 { color: var(--hl-12); } +.hl-13 { color: var(--hl-13); } +.hl-14 { color: var(--hl-14); } +.hl-15 { color: var(--hl-15); } +pre, code { background: var(--code-background); } diff --git a/assets/main.js b/assets/main.js new file mode 100644 index 00000000..4c8fa615 --- /dev/null +++ b/assets/main.js @@ -0,0 +1,58 @@ +"use strict"; 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\ No newline at end of file diff --git a/assets/style.css b/assets/style.css new file mode 100644 index 00000000..18b4f8fe --- /dev/null +++ b/assets/style.css @@ -0,0 +1,1367 @@ +:root { + /* Light */ + --light-color-background: #f2f4f8; + --light-color-background-secondary: #eff0f1; + --light-color-warning-text: #222; + --light-color-background-warning: #e6e600; + --light-color-icon-background: var(--light-color-background); + --light-color-accent: #c5c7c9; + --light-color-active-menu-item: var(--light-color-accent); + --light-color-text: #222; + --light-color-text-aside: #6e6e6e; + --light-color-link: #1f70c2; + + --light-color-ts-project: #b111c9; + --light-color-ts-module: var(--light-color-ts-project); + --light-color-ts-namespace: var(--light-color-ts-project); + --light-color-ts-enum: #7e6f15; + --light-color-ts-enum-member: var(--light-color-ts-enum); + --light-color-ts-variable: #4760ec; + --light-color-ts-function: #572be7; + --light-color-ts-class: #1f70c2; + --light-color-ts-interface: #108024; + --light-color-ts-constructor: var(--light-color-ts-class); + --light-color-ts-property: var(--light-color-ts-variable); + --light-color-ts-method: var(--light-color-ts-function); + --light-color-ts-call-signature: var(--light-color-ts-method); + --light-color-ts-index-signature: var(--light-color-ts-property); + --light-color-ts-constructor-signature: var(--light-color-ts-constructor); + --light-color-ts-parameter: var(--light-color-ts-variable); + /* type literal not included as links will never be generated to it */ + --light-color-ts-type-parameter: var(--light-color-ts-type-alias); + --light-color-ts-accessor: var(--light-color-ts-property); + --light-color-ts-get-signature: var(--light-color-ts-accessor); + --light-color-ts-set-signature: var(--light-color-ts-accessor); + /* object literal not included as it is not used and will be removed in 0.25 */ + --light-color-ts-type-alias: #d51270; + /* reference not included as links will be colored with the kind that it points to */ + + --light-external-icon: url("data:image/svg+xml;utf8,"); + --light-color-scheme: light; + + /* Dark */ + --dark-color-background: #2b2e33; + --dark-color-background-secondary: #1e2024; + --dark-color-background-warning: #bebe00; + --dark-color-warning-text: #222; + --dark-color-icon-background: var(--dark-color-background-secondary); + --dark-color-accent: #9096a2; + --dark-color-active-menu-item: #5d5d6a; + --dark-color-text: #f5f5f5; + --dark-color-text-aside: #dddddd; + --dark-color-link: #00aff4; + + --dark-color-ts-project: #e358ff; + --dark-color-ts-module: var(--dark-color-ts-project); + --dark-color-ts-namespace: var(--dark-color-ts-project); + --dark-color-ts-enum: #f4d93e; + --dark-color-ts-enum-member: var(--dark-color-ts-enum); + --dark-color-ts-variable: #798dff; + --dark-color-ts-function: #a280ff; + --dark-color-ts-class: #8ac4ff; + --dark-color-ts-interface: #6cff87; + --dark-color-ts-constructor: var(--dark-color-ts-class); + --dark-color-ts-property: var(--dark-color-ts-variable); + --dark-color-ts-method: var(--dark-color-ts-function); + --dark-color-ts-call-signature: var(--dark-color-ts-method); + --dark-color-ts-index-signature: var(--dark-color-ts-property); + --dark-color-ts-constructor-signature: var(--dark-color-ts-constructor); + --dark-color-ts-parameter: var(--dark-color-ts-variable); + /* type literal not included as links will never be generated to it */ + --dark-color-ts-type-parameter: var(--dark-color-ts-type-alias); + --dark-color-ts-accessor: var(--dark-color-ts-property); + --dark-color-ts-get-signature: var(--dark-color-ts-accessor); + --dark-color-ts-set-signature: var(--dark-color-ts-accessor); + /* object literal not included as it is not used and will be removed in 0.25 */ + --dark-color-ts-type-alias: #ff6492; + /* reference not included as links will be colored with the kind that it points to */ + + --dark-external-icon: url("data:image/svg+xml;utf8,"); + --dark-color-scheme: dark; +} + +@media (prefers-color-scheme: light) { + :root { + --color-background: var(--light-color-background); + --color-background-secondary: var(--light-color-background-secondary); + --color-background-warning: var(--light-color-background-warning); + --color-warning-text: var(--light-color-warning-text); + --color-icon-background: var(--light-color-icon-background); + --color-accent: var(--light-color-accent); + --color-active-menu-item: var(--light-color-active-menu-item); + --color-text: var(--light-color-text); + --color-text-aside: var(--light-color-text-aside); + --color-link: var(--light-color-link); + + --color-ts-module: var(--light-color-ts-module); + --color-ts-namespace: var(--light-color-ts-namespace); + --color-ts-enum: var(--light-color-ts-enum); + --color-ts-enum-member: var(--light-color-ts-enum-member); + --color-ts-variable: var(--light-color-ts-variable); + --color-ts-function: var(--light-color-ts-function); + --color-ts-class: var(--light-color-ts-class); + --color-ts-interface: var(--light-color-ts-interface); + --color-ts-constructor: var(--light-color-ts-constructor); + --color-ts-property: var(--light-color-ts-property); + --color-ts-method: var(--light-color-ts-method); + --color-ts-call-signature: var(--light-color-ts-call-signature); + --color-ts-index-signature: var(--light-color-ts-index-signature); + --color-ts-constructor-signature: var( + --light-color-ts-constructor-signature + ); + --color-ts-parameter: var(--light-color-ts-parameter); + --color-ts-type-parameter: var(--light-color-ts-type-parameter); + --color-ts-accessor: var(--light-color-ts-accessor); + --color-ts-get-signature: var(--light-color-ts-get-signature); + --color-ts-set-signature: var(--light-color-ts-set-signature); + --color-ts-type-alias: var(--light-color-ts-type-alias); + + --external-icon: var(--light-external-icon); + --color-scheme: var(--light-color-scheme); + } +} + +@media (prefers-color-scheme: dark) { + :root { + --color-background: var(--dark-color-background); + --color-background-secondary: var(--dark-color-background-secondary); + --color-background-warning: var(--dark-color-background-warning); + --color-warning-text: var(--dark-color-warning-text); + --color-icon-background: var(--dark-color-icon-background); + --color-accent: var(--dark-color-accent); + --color-active-menu-item: var(--dark-color-active-menu-item); + --color-text: var(--dark-color-text); + --color-text-aside: var(--dark-color-text-aside); + --color-link: var(--dark-color-link); + + --color-ts-module: var(--dark-color-ts-module); + --color-ts-namespace: var(--dark-color-ts-namespace); + --color-ts-enum: var(--dark-color-ts-enum); + --color-ts-enum-member: var(--dark-color-ts-enum-member); + --color-ts-variable: var(--dark-color-ts-variable); + --color-ts-function: var(--dark-color-ts-function); + --color-ts-class: var(--dark-color-ts-class); + --color-ts-interface: var(--dark-color-ts-interface); + --color-ts-constructor: var(--dark-color-ts-constructor); + --color-ts-property: var(--dark-color-ts-property); + --color-ts-method: var(--dark-color-ts-method); + --color-ts-call-signature: var(--dark-color-ts-call-signature); + --color-ts-index-signature: var(--dark-color-ts-index-signature); + --color-ts-constructor-signature: var( + --dark-color-ts-constructor-signature + ); + --color-ts-parameter: var(--dark-color-ts-parameter); + --color-ts-type-parameter: var(--dark-color-ts-type-parameter); + --color-ts-accessor: var(--dark-color-ts-accessor); + --color-ts-get-signature: var(--dark-color-ts-get-signature); + --color-ts-set-signature: var(--dark-color-ts-set-signature); + --color-ts-type-alias: var(--dark-color-ts-type-alias); + + --external-icon: var(--dark-external-icon); + --color-scheme: var(--dark-color-scheme); + } +} + +html { + color-scheme: var(--color-scheme); +} + +body { + margin: 0; +} + +:root[data-theme="light"] { + --color-background: var(--light-color-background); + --color-background-secondary: var(--light-color-background-secondary); + --color-background-warning: var(--light-color-background-warning); + --color-warning-text: var(--light-color-warning-text); + --color-icon-background: var(--light-color-icon-background); + --color-accent: var(--light-color-accent); + --color-active-menu-item: var(--light-color-active-menu-item); + --color-text: var(--light-color-text); + --color-text-aside: var(--light-color-text-aside); + --color-link: var(--light-color-link); + + --color-ts-module: var(--light-color-ts-module); + --color-ts-namespace: var(--light-color-ts-namespace); + --color-ts-enum: var(--light-color-ts-enum); + --color-ts-enum-member: var(--light-color-ts-enum-member); + --color-ts-variable: var(--light-color-ts-variable); + --color-ts-function: var(--light-color-ts-function); + --color-ts-class: var(--light-color-ts-class); + --color-ts-interface: var(--light-color-ts-interface); + --color-ts-constructor: var(--light-color-ts-constructor); + --color-ts-property: var(--light-color-ts-property); + --color-ts-method: var(--light-color-ts-method); + --color-ts-call-signature: var(--light-color-ts-call-signature); + --color-ts-index-signature: var(--light-color-ts-index-signature); + --color-ts-constructor-signature: var( + --light-color-ts-constructor-signature + ); + --color-ts-parameter: var(--light-color-ts-parameter); + --color-ts-type-parameter: var(--light-color-ts-type-parameter); + --color-ts-accessor: var(--light-color-ts-accessor); + --color-ts-get-signature: var(--light-color-ts-get-signature); + --color-ts-set-signature: var(--light-color-ts-set-signature); + --color-ts-type-alias: var(--light-color-ts-type-alias); + + --external-icon: var(--light-external-icon); + --color-scheme: var(--light-color-scheme); +} + +:root[data-theme="dark"] { + --color-background: var(--dark-color-background); + --color-background-secondary: var(--dark-color-background-secondary); + --color-background-warning: var(--dark-color-background-warning); + --color-warning-text: var(--dark-color-warning-text); + --color-icon-background: var(--dark-color-icon-background); + --color-accent: var(--dark-color-accent); + --color-active-menu-item: var(--dark-color-active-menu-item); + --color-text: var(--dark-color-text); + --color-text-aside: var(--dark-color-text-aside); + --color-link: var(--dark-color-link); + + --color-ts-module: var(--dark-color-ts-module); + --color-ts-namespace: var(--dark-color-ts-namespace); + --color-ts-enum: var(--dark-color-ts-enum); + --color-ts-enum-member: var(--dark-color-ts-enum-member); + --color-ts-variable: var(--dark-color-ts-variable); + --color-ts-function: var(--dark-color-ts-function); + --color-ts-class: var(--dark-color-ts-class); + --color-ts-interface: var(--dark-color-ts-interface); + --color-ts-constructor: var(--dark-color-ts-constructor); + --color-ts-property: var(--dark-color-ts-property); + --color-ts-method: var(--dark-color-ts-method); + --color-ts-call-signature: var(--dark-color-ts-call-signature); + --color-ts-index-signature: var(--dark-color-ts-index-signature); + --color-ts-constructor-signature: var( + --dark-color-ts-constructor-signature + ); + --color-ts-parameter: var(--dark-color-ts-parameter); + --color-ts-type-parameter: var(--dark-color-ts-type-parameter); + --color-ts-accessor: var(--dark-color-ts-accessor); + --color-ts-get-signature: var(--dark-color-ts-get-signature); + --color-ts-set-signature: var(--dark-color-ts-set-signature); + --color-ts-type-alias: var(--dark-color-ts-type-alias); + + --external-icon: var(--dark-external-icon); + --color-scheme: var(--dark-color-scheme); +} + +.always-visible, +.always-visible .tsd-signatures { + display: inherit !important; +} + +h1, +h2, +h3, +h4, +h5, +h6 { + line-height: 1.2; +} + +h1 > a, +h2 > a, +h3 > a, +h4 > a, +h5 > a, +h6 > a { + text-decoration: none; + color: var(--color-text); +} + +h1 { + font-size: 1.875rem; + margin: 0.67rem 0; +} + +h2 { + font-size: 1.5rem; + margin: 0.83rem 0; +} + +h3 { + font-size: 1.25rem; + margin: 1rem 0; +} + +h4 { + font-size: 1.05rem; + margin: 1.33rem 0; +} + +h5 { + font-size: 1rem; + margin: 1.5rem 0; +} + +h6 { + font-size: 0.875rem; + margin: 2.33rem 0; +} + +.uppercase { + text-transform: uppercase; +} + +dl, +menu, +ol, +ul { + margin: 1em 0; +} + +dd { + margin: 0 0 0 40px; +} + +.container { + max-width: 1700px; + padding: 0 2rem; +} + +/* Footer */ +.tsd-generator { + border-top: 1px solid var(--color-accent); + padding-top: 1rem; + padding-bottom: 1rem; + max-height: 3.5rem; +} + +.tsd-generator > p { + margin-top: 0; + margin-bottom: 0; + padding: 0 1rem; +} + +.container-main { + margin: 0 auto; + /* toolbar, footer, margin */ + min-height: calc(100vh - 41px - 56px - 4rem); +} + +@keyframes fade-in { + from { + opacity: 0; + } + to { + opacity: 1; + } +} +@keyframes fade-out { + from { + opacity: 1; + visibility: visible; + } + to { + opacity: 0; + } +} +@keyframes fade-in-delayed { + 0% { + opacity: 0; + } + 33% { + opacity: 0; + } + 100% { + opacity: 1; + } +} +@keyframes fade-out-delayed { + 0% { + opacity: 1; + visibility: visible; + } + 66% { + opacity: 0; + } + 100% { + opacity: 0; + } +} +@keyframes pop-in-from-right { + from { + transform: translate(100%, 0); + } + to { + transform: translate(0, 0); + } +} +@keyframes pop-out-to-right { + from { + transform: translate(0, 0); + visibility: visible; + } + to { + transform: translate(100%, 0); + } +} +body { + background: var(--color-background); + font-family: "Segoe UI", sans-serif; + font-size: 16px; + color: var(--color-text); +} + +a { + color: var(--color-link); + text-decoration: none; +} +a:hover { + text-decoration: underline; +} +a.external[target="_blank"] { + background-image: var(--external-icon); + background-position: top 3px right; + background-repeat: no-repeat; + padding-right: 13px; +} + +code, +pre { + font-family: Menlo, Monaco, Consolas, "Courier New", monospace; + padding: 0.2em; + margin: 0; + font-size: 0.875rem; + border-radius: 0.8em; +} + +pre { + position: relative; + white-space: pre; + white-space: pre-wrap; + word-wrap: break-word; + padding: 10px; + border: 1px solid var(--color-accent); +} +pre code { + padding: 0; + font-size: 100%; +} +pre > button { + position: absolute; + top: 10px; + right: 10px; + opacity: 0; + transition: opacity 0.1s; + box-sizing: border-box; +} +pre:hover > button, +pre > button.visible { + opacity: 1; +} + +blockquote { + margin: 1em 0; + padding-left: 1em; + border-left: 4px solid gray; +} + +.tsd-typography { + line-height: 1.333em; +} +.tsd-typography ul { + list-style: square; + padding: 0 0 0 20px; + margin: 0; +} +.tsd-typography h4, +.tsd-typography .tsd-index-panel h3, +.tsd-index-panel .tsd-typography h3, +.tsd-typography h5, +.tsd-typography h6 { + font-size: 1em; + margin: 0; +} +.tsd-typography h5, +.tsd-typography h6 { + font-weight: normal; +} +.tsd-typography p, +.tsd-typography ul, +.tsd-typography ol { + margin: 1em 0; +} + +.tsd-breadcrumb { + margin: 0; + padding: 0; + color: var(--color-text-aside); +} +.tsd-breadcrumb a { + color: var(--color-text-aside); + text-decoration: none; +} +.tsd-breadcrumb a:hover { + text-decoration: underline; +} +.tsd-breadcrumb li { + display: inline; +} +.tsd-breadcrumb li:after { + content: " / "; +} + +.tsd-comment-tags { + display: flex; + flex-direction: column; +} +dl.tsd-comment-tag-group { + display: flex; + align-items: center; + overflow: hidden; + margin: 0.5em 0; +} +dl.tsd-comment-tag-group dt { + display: flex; + margin-right: 0.5em; + font-size: 0.875em; + font-weight: normal; +} +dl.tsd-comment-tag-group dd { + margin: 0; +} +code.tsd-tag { + padding: 0.25em 0.4em; + border: 0.1em solid var(--color-accent); + margin-right: 0.25em; + font-size: 70%; +} +h1 code.tsd-tag:first-of-type { + margin-left: 0.25em; +} + +dl.tsd-comment-tag-group dd:before, +dl.tsd-comment-tag-group dd:after { + content: " "; +} +dl.tsd-comment-tag-group dd pre, +dl.tsd-comment-tag-group dd:after { + clear: both; +} +dl.tsd-comment-tag-group p { + margin: 0; +} + +.tsd-panel.tsd-comment .lead { + font-size: 1.1em; + line-height: 1.333em; + margin-bottom: 2em; +} +.tsd-panel.tsd-comment .lead:last-child { + margin-bottom: 0; +} + +.tsd-filter-visibility h4 { + font-size: 1rem; + padding-top: 0.75rem; + padding-bottom: 0.5rem; + margin: 0; +} +.tsd-filter-item:not(:last-child) { + margin-bottom: 0.5rem; +} +.tsd-filter-input { + display: flex; + width: fit-content; + width: -moz-fit-content; + align-items: center; + user-select: none; + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + cursor: pointer; +} +.tsd-filter-input input[type="checkbox"] { + cursor: pointer; + position: absolute; + width: 1.5em; + height: 1.5em; + opacity: 0; +} +.tsd-filter-input input[type="checkbox"]:disabled { + pointer-events: none; +} +.tsd-filter-input svg { + cursor: pointer; + width: 1.5em; + height: 1.5em; + margin-right: 0.5em; + border-radius: 0.33em; + /* Leaving this at full opacity breaks event listeners on Firefox. + Don't remove unless you know what you're doing. */ + opacity: 0.99; +} +.tsd-filter-input input[type="checkbox"]:focus + svg { + transform: scale(0.95); +} +.tsd-filter-input input[type="checkbox"]:focus:not(:focus-visible) + svg { + transform: scale(1); +} +.tsd-checkbox-background { + fill: var(--color-accent); +} +input[type="checkbox"]:checked ~ svg .tsd-checkbox-checkmark { + stroke: var(--color-text); +} +.tsd-filter-input input:disabled ~ svg > .tsd-checkbox-background { + fill: var(--color-background); + stroke: var(--color-accent); + stroke-width: 0.25rem; +} +.tsd-filter-input input:disabled ~ svg > .tsd-checkbox-checkmark { + stroke: var(--color-accent); +} + +.tsd-theme-toggle { + padding-top: 0.75rem; +} +.tsd-theme-toggle > h4 { + display: inline; + vertical-align: middle; + margin-right: 0.75rem; +} + +.tsd-hierarchy { + list-style: square; + margin: 0; +} +.tsd-hierarchy .target { + font-weight: bold; +} + +.tsd-panel-group.tsd-index-group { + margin-bottom: 0; +} +.tsd-index-panel .tsd-index-list { + list-style: none; + line-height: 1.333em; + margin: 0; + padding: 0.25rem 0 0 0; + overflow: hidden; + display: grid; + grid-template-columns: repeat(3, 1fr); + column-gap: 1rem; + grid-template-rows: auto; +} +@media (max-width: 1024px) { + .tsd-index-panel .tsd-index-list { + grid-template-columns: repeat(2, 1fr); + } +} +@media (max-width: 768px) { + .tsd-index-panel .tsd-index-list { + grid-template-columns: repeat(1, 1fr); + } +} +.tsd-index-panel .tsd-index-list li { + -webkit-page-break-inside: avoid; + -moz-page-break-inside: avoid; + -ms-page-break-inside: avoid; + -o-page-break-inside: avoid; + page-break-inside: avoid; +} + +.tsd-flag { + display: inline-block; + padding: 0.25em 0.4em; + border-radius: 4px; + color: var(--color-comment-tag-text); + background-color: var(--color-comment-tag); + text-indent: 0; + font-size: 75%; + line-height: 1; + font-weight: normal; +} + +.tsd-anchor { + position: relative; + top: -100px; +} + +.tsd-member { + position: relative; +} +.tsd-member .tsd-anchor + h3 { + display: flex; + align-items: center; + margin-top: 0; + margin-bottom: 0; + border-bottom: none; +} + +.tsd-navigation.settings { + margin: 1rem 0; +} +.tsd-navigation > a, +.tsd-navigation .tsd-accordion-summary { + width: calc(100% - 0.5rem); +} +.tsd-navigation a, +.tsd-navigation summary > span, +.tsd-page-navigation a { + display: inline-flex; + align-items: center; + padding: 0.25rem; + color: var(--color-text); + text-decoration: none; + box-sizing: border-box; +} +.tsd-navigation a.current, +.tsd-page-navigation a.current { + background: var(--color-active-menu-item); +} +.tsd-navigation a:hover, +.tsd-page-navigation a:hover { + text-decoration: underline; +} +.tsd-navigation ul, +.tsd-page-navigation ul { + margin-top: 0; + margin-bottom: 0; + padding: 0; + list-style: none; +} +.tsd-navigation li, +.tsd-page-navigation li { + padding: 0; + max-width: 100%; +} +.tsd-nested-navigation { + margin-left: 3rem; +} +.tsd-nested-navigation > li > details { + margin-left: -1.5rem; +} +.tsd-small-nested-navigation { + margin-left: 1.5rem; +} +.tsd-small-nested-navigation > li > details { + margin-left: -1.5rem; +} + +.tsd-nested-navigation > li > a, +.tsd-nested-navigation > li > span { + width: calc(100% - 1.75rem - 0.5rem); +} + +.tsd-page-navigation ul { + padding-left: 1.75rem; +} + +#tsd-sidebar-links a { + margin-top: 0; + margin-bottom: 0.5rem; + line-height: 1.25rem; +} +#tsd-sidebar-links a:last-of-type { + margin-bottom: 0; +} + +a.tsd-index-link { + padding: 0.25rem 0 !important; + font-size: 1rem; + line-height: 1.25rem; + display: inline-flex; + align-items: center; + color: var(--color-text); +} +.tsd-accordion-summary { + list-style-type: none; /* hide marker on non-safari */ + outline: none; /* broken on safari, so just hide it */ +} +.tsd-accordion-summary::-webkit-details-marker { + display: none; /* hide marker on safari */ +} +.tsd-accordion-summary, +.tsd-accordion-summary a { + user-select: none; + -moz-user-select: none; + -webkit-user-select: none; + -ms-user-select: none; + + cursor: pointer; +} +.tsd-accordion-summary a { + width: calc(100% - 1.5rem); +} +.tsd-accordion-summary > * { + margin-top: 0; + margin-bottom: 0; + padding-top: 0; + padding-bottom: 0; +} +.tsd-index-accordion .tsd-accordion-summary > svg { + margin-left: 0.25rem; +} +.tsd-index-content > :not(:first-child) { + margin-top: 0.75rem; +} +.tsd-index-heading { + margin-top: 1.5rem; + margin-bottom: 0.75rem; +} + +.tsd-kind-icon { + margin-right: 0.5rem; + width: 1.25rem; + height: 1.25rem; + min-width: 1.25rem; + min-height: 1.25rem; +} +.tsd-kind-icon path { + transform-origin: center; + transform: scale(1.1); +} +.tsd-signature > .tsd-kind-icon { + margin-right: 0.8rem; +} + +.tsd-panel { + margin-bottom: 2.5rem; +} +.tsd-panel.tsd-member { + margin-bottom: 4rem; +} +.tsd-panel:empty { + display: none; +} +.tsd-panel > h1, +.tsd-panel > h2, +.tsd-panel > h3 { + margin: 1.5rem -1.5rem 0.75rem -1.5rem; + padding: 0 1.5rem 0.75rem 1.5rem; +} +.tsd-panel > h1.tsd-before-signature, +.tsd-panel > h2.tsd-before-signature, +.tsd-panel > h3.tsd-before-signature { + margin-bottom: 0; + border-bottom: none; +} + +.tsd-panel-group { + margin: 4rem 0; +} +.tsd-panel-group.tsd-index-group { + margin: 2rem 0; +} +.tsd-panel-group.tsd-index-group details { + margin: 2rem 0; +} + +#tsd-search { + transition: background-color 0.2s; +} +#tsd-search .title { + position: relative; + z-index: 2; +} +#tsd-search .field { + position: absolute; + left: 0; + top: 0; + right: 2.5rem; + height: 100%; +} +#tsd-search .field input { + box-sizing: border-box; + position: relative; + top: -50px; + z-index: 1; + width: 100%; + padding: 0 10px; + opacity: 0; + outline: 0; + border: 0; + background: transparent; + color: var(--color-text); +} +#tsd-search .field label { + position: absolute; + overflow: hidden; + right: -40px; +} +#tsd-search .field input, +#tsd-search .title, +#tsd-toolbar-links a { + transition: opacity 0.2s; +} +#tsd-search .results { + position: absolute; + visibility: hidden; + top: 40px; + width: 100%; + margin: 0; + padding: 0; + list-style: none; + box-shadow: 0 0 4px rgba(0, 0, 0, 0.25); +} +#tsd-search .results li { + padding: 0 10px; + background-color: var(--color-background); +} +#tsd-search .results li:nth-child(even) { + background-color: var(--color-background-secondary); +} +#tsd-search .results li.state { + display: none; +} +#tsd-search .results li.current, +#tsd-search .results li:hover { + background-color: var(--color-accent); +} +#tsd-search .results a { + display: block; +} +#tsd-search .results a:before { + top: 10px; +} +#tsd-search .results span.parent { + color: var(--color-text-aside); + font-weight: normal; +} +#tsd-search.has-focus { + background-color: var(--color-accent); +} +#tsd-search.has-focus .field input { + top: 0; + opacity: 1; +} +#tsd-search.has-focus .title, +#tsd-search.has-focus #tsd-toolbar-links a { + z-index: 0; + opacity: 0; +} +#tsd-search.has-focus .results { + visibility: visible; +} +#tsd-search.loading .results li.state.loading { + display: block; +} +#tsd-search.failure .results li.state.failure { + display: block; +} + +#tsd-toolbar-links { + position: absolute; + top: 0; + right: 2rem; + height: 100%; + display: flex; + align-items: center; + justify-content: flex-end; +} +#tsd-toolbar-links a { + margin-left: 1.5rem; +} +#tsd-toolbar-links a:hover { + text-decoration: underline; +} + +.tsd-signature { + margin: 0 0 1rem 0; + padding: 1rem 0.5rem; + border: 1px solid var(--color-accent); + font-family: Menlo, Monaco, Consolas, "Courier New", monospace; + font-size: 14px; + overflow-x: auto; +} + +.tsd-signature-symbol { + color: var(--color-text-aside); + font-weight: normal; +} + +.tsd-signature-type { + font-style: italic; + font-weight: normal; +} + +.tsd-signatures { + padding: 0; + margin: 0 0 1em 0; + list-style-type: none; +} +.tsd-signatures .tsd-signature { + margin: 0; + border-color: var(--color-accent); + border-width: 1px 0; + transition: background-color 0.1s; +} +.tsd-description .tsd-signatures .tsd-signature { + border-width: 1px; +} + +ul.tsd-parameter-list, +ul.tsd-type-parameter-list { + list-style: square; + margin: 0; + padding-left: 20px; +} +ul.tsd-parameter-list > li.tsd-parameter-signature, +ul.tsd-type-parameter-list > li.tsd-parameter-signature { + list-style: none; + margin-left: -20px; +} +ul.tsd-parameter-list h5, +ul.tsd-type-parameter-list h5 { + font-size: 16px; + margin: 1em 0 0.5em 0; +} +.tsd-sources { + margin-top: 1rem; + font-size: 0.875em; +} +.tsd-sources a { + color: var(--color-text-aside); + text-decoration: underline; +} +.tsd-sources ul { + list-style: none; + padding: 0; +} + +.tsd-page-toolbar { + position: sticky; + z-index: 1; + top: 0; + left: 0; + width: 100%; + color: var(--color-text); + background: var(--color-background-secondary); + border-bottom: 1px var(--color-accent) solid; + transition: transform 0.3s ease-in-out; +} +.tsd-page-toolbar a { + color: var(--color-text); + text-decoration: none; +} +.tsd-page-toolbar a.title { + font-weight: bold; +} +.tsd-page-toolbar a.title:hover { + text-decoration: underline; +} +.tsd-page-toolbar .tsd-toolbar-contents { + display: flex; + justify-content: space-between; + height: 2.5rem; + margin: 0 auto; +} +.tsd-page-toolbar .table-cell { + position: relative; + white-space: nowrap; + line-height: 40px; +} +.tsd-page-toolbar .table-cell:first-child { + width: 100%; +} +.tsd-page-toolbar .tsd-toolbar-icon { + box-sizing: border-box; + line-height: 0; + padding: 12px 0; +} + +.tsd-widget { + display: inline-block; + overflow: hidden; + opacity: 0.8; + height: 40px; + transition: opacity 0.1s, background-color 0.2s; + vertical-align: bottom; + cursor: pointer; +} +.tsd-widget:hover { + opacity: 0.9; +} +.tsd-widget.active { + opacity: 1; + background-color: var(--color-accent); +} +.tsd-widget.no-caption { + width: 40px; +} +.tsd-widget.no-caption:before { + margin: 0; +} + +.tsd-widget.options, +.tsd-widget.menu { + display: none; +} +input[type="checkbox"] + .tsd-widget:before { + background-position: -120px 0; +} +input[type="checkbox"]:checked + .tsd-widget:before { + background-position: -160px 0; +} + +img { + max-width: 100%; +} + +.tsd-anchor-icon { + display: inline-flex; + align-items: center; + margin-left: 0.5rem; + vertical-align: middle; + color: var(--color-text); +} + +.tsd-anchor-icon svg { + width: 1em; + height: 1em; + visibility: hidden; +} + +.tsd-anchor-link:hover > .tsd-anchor-icon svg { + visibility: visible; +} + +.deprecated { + text-decoration: line-through; +} + +.warning { + padding: 1rem; + color: var(--color-warning-text); + background: var(--color-background-warning); +} + +.tsd-kind-project { + color: var(--color-ts-project); +} +.tsd-kind-module { + color: var(--color-ts-module); +} +.tsd-kind-namespace { + color: var(--color-ts-namespace); +} +.tsd-kind-enum { + color: var(--color-ts-enum); +} +.tsd-kind-enum-member { + color: var(--color-ts-enum-member); +} +.tsd-kind-variable { + color: var(--color-ts-variable); +} +.tsd-kind-function { + color: var(--color-ts-function); +} +.tsd-kind-class { + color: var(--color-ts-class); +} +.tsd-kind-interface { + color: var(--color-ts-interface); +} +.tsd-kind-constructor { + color: var(--color-ts-constructor); +} +.tsd-kind-property { + color: var(--color-ts-property); +} +.tsd-kind-method { + color: var(--color-ts-method); +} +.tsd-kind-call-signature { + color: var(--color-ts-call-signature); +} +.tsd-kind-index-signature { + color: var(--color-ts-index-signature); +} +.tsd-kind-constructor-signature { + color: var(--color-ts-constructor-signature); +} +.tsd-kind-parameter { + color: var(--color-ts-parameter); +} +.tsd-kind-type-literal { + color: var(--color-ts-type-literal); +} +.tsd-kind-type-parameter { + color: var(--color-ts-type-parameter); +} +.tsd-kind-accessor { + color: var(--color-ts-accessor); +} +.tsd-kind-get-signature { + color: var(--color-ts-get-signature); +} +.tsd-kind-set-signature { + color: var(--color-ts-set-signature); +} +.tsd-kind-type-alias { + color: var(--color-ts-type-alias); +} + +/* if we have a kind icon, don't color the text by kind */ +.tsd-kind-icon ~ span { + color: var(--color-text); +} + +* { + scrollbar-width: thin; + scrollbar-color: var(--color-accent) var(--color-icon-background); +} + +*::-webkit-scrollbar { + width: 0.75rem; +} + +*::-webkit-scrollbar-track { + background: var(--color-icon-background); +} + +*::-webkit-scrollbar-thumb { + background-color: var(--color-accent); + border-radius: 999rem; + border: 0.25rem solid var(--color-icon-background); +} + +/* mobile */ +@media (max-width: 769px) { + .tsd-widget.options, + .tsd-widget.menu { + display: inline-block; + } + + .container-main { + display: flex; + } + html .col-content { + float: none; + max-width: 100%; + width: 100%; + } + html .col-sidebar { + position: fixed !important; + overflow-y: auto; + -webkit-overflow-scrolling: touch; + z-index: 1024; + top: 0 !important; + bottom: 0 !important; + left: auto !important; + right: 0 !important; + padding: 1.5rem 1.5rem 0 0; + width: 75vw; + visibility: hidden; + background-color: var(--color-background); + transform: translate(100%, 0); + } + html .col-sidebar > *:last-child { + padding-bottom: 20px; + } + html .overlay { + content: ""; + display: block; + position: fixed; + z-index: 1023; + top: 0; + left: 0; + right: 0; + bottom: 0; + background-color: rgba(0, 0, 0, 0.75); + visibility: hidden; + } + + .to-has-menu .overlay { + animation: fade-in 0.4s; + } + + .to-has-menu .col-sidebar { + animation: pop-in-from-right 0.4s; + } + + .from-has-menu .overlay { + animation: fade-out 0.4s; + } + + .from-has-menu .col-sidebar { + animation: pop-out-to-right 0.4s; + } + + .has-menu body { + overflow: hidden; + } + .has-menu .overlay { + visibility: visible; + } + .has-menu .col-sidebar { + visibility: visible; + transform: translate(0, 0); + display: flex; + flex-direction: column; + gap: 1.5rem; + max-height: 100vh; + padding: 1rem 2rem; + } + .has-menu .tsd-navigation { + max-height: 100%; + } +} + +/* one sidebar */ +@media (min-width: 770px) { + .container-main { + display: grid; + grid-template-columns: minmax(0, 1fr) minmax(0, 2fr); + grid-template-areas: "sidebar content"; + margin: 2rem auto; + } + + .col-sidebar { + grid-area: sidebar; + } + .col-content { + grid-area: content; + padding: 0 1rem; + } +} +@media (min-width: 770px) and (max-width: 1399px) { + .col-sidebar { + max-height: calc(100vh - 2rem - 42px); + overflow: auto; + position: sticky; + top: 42px; + padding-top: 1rem; + } + .site-menu { + margin-top: 1rem; + } +} + +/* two sidebars */ +@media (min-width: 1200px) { + .container-main { + grid-template-columns: minmax(0, 1fr) minmax(0, 2.5fr) minmax(0, 20rem); + grid-template-areas: "sidebar content toc"; + } + + .col-sidebar { + display: contents; + } + + .page-menu { + grid-area: toc; + padding-left: 1rem; + } + .site-menu { + grid-area: sidebar; + } + + .site-menu { + margin-top: 1rem 0; + } + + .page-menu, + .site-menu { + max-height: calc(100vh - 2rem - 42px); + overflow: auto; + position: sticky; + top: 42px; + } +} diff --git a/classes/DataType.html b/classes/DataType.html new file mode 100644 index 00000000..2105b073 --- /dev/null +++ b/classes/DataType.html @@ -0,0 +1,240 @@ +DataType | nodejs-polars
+
+ +
+
+
+
+ +

Class DataTypeAbstract

+
+

Hierarchy

+
    +
  • DataType
+
+
+
+ +
+
+

References

+
Object +Time +
+
+

Constructors

+
constructor +
+
+

Accessors

+
variant +
+
+

Methods

+
equals +from +toJSON +toString +
+
+

References

+
+

Static Object

Re-exports Object
+
+

Static Time

Re-exports Time
+
+

Constructors

+
+

constructor

+
+
+

Accessors

+
+

variant

+
+
+

Methods

+
+

equals

+
+
+

Static from

+
+
+

toJSON

+
+
+

toString

+
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/classes/pl.Field.html b/classes/pl.Field.html new file mode 100644 index 00000000..fd4cb57b --- /dev/null +++ b/classes/pl.Field.html @@ -0,0 +1,325 @@ +Field | nodejs-polars
+
+ +
+
+
+
+ +

Class Field

+
+

Hierarchy

+
    +
  • Field
+
+

Implements

+
+
+

Implemented by

+
+
+
+
+ +
+
+

Constructors

+
constructor +
+
+

Properties

+
dtype +name +
+
+

Methods

+
toJSON +toString +
+
+

Constructors

+
+

constructor

+
+
+

Properties

+
+

dtype

+
dtype: DataType
+
+

name

+
name: string
+
+

Methods

+
+

toJSON

+
+
+

toString

+
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/enums/TimeUnit.html b/enums/TimeUnit.html new file mode 100644 index 00000000..2bd10cc7 --- /dev/null +++ b/enums/TimeUnit.html @@ -0,0 +1,170 @@ +TimeUnit | nodejs-polars
+
+ +
+
+
+
+ +

Enumeration TimeUnit

+
+

Datetime time unit

+
+
+
+
+
+ +
+
+

Enumeration Members

+
Microseconds +Milliseconds +Nanoseconds +
+
+

Enumeration Members

+
+

Microseconds

+
Microseconds: "us"
+
+

Milliseconds

+
Milliseconds: "ms"
+
+

Nanoseconds

+
Nanoseconds: "ns"
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/functions/DataType-1.deserialize.html b/functions/DataType-1.deserialize.html new file mode 100644 index 00000000..8859ac88 --- /dev/null +++ b/functions/DataType-1.deserialize.html @@ -0,0 +1,169 @@ +deserialize | nodejs-polars
+
+ +
+
+
+
+ +

Function deserialize

+
+
    + +
  • +

    deserializes a datatype from the serde output of rust polars DataType

    +
    +
    +

    Parameters

    +
      +
    • +
      dtype: any
      +

      dtype object

      +
      +
    +

    Returns DataType

    +
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/functions/_Series.html b/functions/_Series.html new file mode 100644 index 00000000..bc841a47 --- /dev/null +++ b/functions/_Series.html @@ -0,0 +1,140 @@ +_Series | nodejs-polars
+
+ +
+
+
+
+ +

Function _Series

+
+
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/functions/all.html b/functions/all.html new file mode 100644 index 00000000..df33e3db --- /dev/null +++ b/functions/all.html @@ -0,0 +1,138 @@ +all | nodejs-polars
+
+ +
+
+
+
+ +

Function all

+
+
+
+
+
+
+

Settings

 +
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+

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Generated using TypeDoc

+
\ No newline at end of file diff --git a/functions/pl.DataFrame.html b/functions/pl.DataFrame.html new file mode 100644 index 00000000..e688f94d --- /dev/null +++ b/functions/pl.DataFrame.html @@ -0,0 +1,264 @@ +DataFrame | nodejs-polars
+
+ +
+
+
+
+ +

Function DataFrame

+
+
    + +
  • +

    Create an empty DataFrame

    +
    +

    Returns pl.DataFrame

    +
    • + +
  • +

    Create a DataFrame from a JavaScript object

    +
    +
    +

    Parameters

    +
      +
    • +
      data: any
      • +
    • +
      Optional options: {
          columns?: any[];
          inferSchemaLength?: number;
          orient?: "row" | "col";
          schema?: Record<string, string | DataType>;
      }
      +
        +
      • +
        Optional columns?: any[]
        • +
      • +
        Optional inferSchemaLength?: number
        • +
      • +
        Optional orient?: "row" | "col"
        • +
      • +
        Optional schema?: Record<string, string | DataType>
    +

    Returns pl.DataFrame

    +
    +

    Example

    data = {'a': [1n, 2n], 'b': [3, 4]}
    df = pl.DataFrame(data)
    df
    shape: (2, 2)
    ╭─────┬─────╮
    │ a   ┆ b   │
    │ --- ┆ --- │
    │ u64 ┆ i64 │
    ╞═════╪═════╡
    │ 1   ┆ 3   │
    ├╌╌╌╌╌┼╌╌╌╌╌┤
    │ 2   ┆ 4   │
    ╰─────┴─────╯
+
    +
+
+
+
+
+

Settings

 +
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Generated using TypeDoc

+
\ No newline at end of file diff --git a/functions/pl.Datetime-1.html b/functions/pl.Datetime-1.html new file mode 100644 index 00000000..c5b8eb78 --- /dev/null +++ b/functions/pl.Datetime-1.html @@ -0,0 +1,262 @@ +Datetime | nodejs-polars
+
+ +
+
+
+
+ +

Function Datetime

+
+
    + +
  • +

    Calendar date and time type

    +
    +
    +

    Parameters

    +
      +
    • +
      timeUnit: TimeUnit
      +

      any of 'ms' | 'ns' | 'us'

      +
      +
      • +
    • +
      Optional timeZone: any
      +

      timezone string as defined by Intl.DateTimeFormat America/New_York for example.

      +
      +
    +

    Returns DataType

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      timeUnit: "ms" | "ns" | "us"
      • +
    • +
      Optional timeZone: any
    +

    Returns DataType

+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/functions/pl.Field-1.from.html b/functions/pl.Field-1.from.html new file mode 100644 index 00000000..e63e2e54 --- /dev/null +++ b/functions/pl.Field-1.from.html @@ -0,0 +1,271 @@ +from | nodejs-polars
+
+ +
+
+
+
+ +

Function from

+
+
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+
+
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Generated using TypeDoc

+
\ No newline at end of file diff --git a/functions/pl.List-1.html b/functions/pl.List-1.html new file mode 100644 index 00000000..5dd4092b --- /dev/null +++ b/functions/pl.List-1.html @@ -0,0 +1,245 @@ +List | nodejs-polars
+
+ +
+
+
+
+ +

Function List

+
+
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/functions/pl.Series.html b/functions/pl.Series.html new file mode 100644 index 00000000..8ff80f0e --- /dev/null +++ b/functions/pl.Series.html @@ -0,0 +1,274 @@ +Series | nodejs-polars
+
+ +
+
+
+
+ +

Function Series

+
+
    + +
  • +

    Creates a new Series from a set of values.

    +
    +
    +

    Parameters

    +
      +
    • +
      values: any
      +

      — A set of values to include in the new Series object.

      +
      +
    +

    Returns pl.Series

    +
    +

    Example

    >  pl.Series([1, 2, 3])
    shape: (3,)
    Series: '' [f64]
    [
            1
            2
            3
    ]
+
    +
    • + +
  • +

    Create a new named series

    +
    +
    +

    Parameters

    +
      +
    • +
      name: string
      +

      The name of the series

      +
      +
      • +
    • +
      values: any[]
      +

      A set of values to include in the new Series object.

      +
      +
      • +
    • +
      Optional dtype: any
    +

    Returns pl.Series

    +
    +

    Example

    >  pl.Series('foo', [1, 2, 3])
    shape: (3,)
    Series: 'foo' [f64]
    [
            1
            2
            3
    ]
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\ No newline at end of file diff --git a/functions/pl.Struct-1.html b/functions/pl.Struct-1.html new file mode 100644 index 00000000..81155658 --- /dev/null +++ b/functions/pl.Struct-1.html @@ -0,0 +1,255 @@ +Struct | nodejs-polars
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Function Struct

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\ No newline at end of file diff --git a/functions/pl.argSortBy.html b/functions/pl.argSortBy.html new file mode 100644 index 00000000..31df10fb --- /dev/null +++ b/functions/pl.argSortBy.html @@ -0,0 +1,248 @@ +argSortBy | nodejs-polars
+
+ +
+
+
+
+ +

Function argSortBy

+
+
    + +
  • +

    Find the indexes that would sort the columns.

    +
    +

    Argsort by multiple columns. The first column will be used for the ordering. +If there are duplicates in the first column, the second column will be used to determine the ordering +and so on.

    +
    +
    +

    Parameters

    +
      +
    • +
      exprs: string[] | pl.Expr[]
      • +
    • +
      descending: boolean | boolean[] = false
    +

    Returns pl.Expr

    +
+
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\ No newline at end of file diff --git a/functions/pl.avg.html b/functions/pl.avg.html new file mode 100644 index 00000000..3bae8cbf --- /dev/null +++ b/functions/pl.avg.html @@ -0,0 +1,254 @@ +avg | nodejs-polars
+
+ +
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+
+
+ +

Function avg

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\ No newline at end of file diff --git a/functions/pl.col.html b/functions/pl.col.html new file mode 100644 index 00000000..12274737 --- /dev/null +++ b/functions/pl.col.html @@ -0,0 +1,252 @@ +col | nodejs-polars
+
+ +
+
+
+
+ +

Function col

+
+
    + +
  • +

    A column in a DataFrame. +Can be used to select:

    +
      +
    • a single column by name
      • +
    • all columns by using a wildcard "*"
      • +
    • column by regular expression if the regex starts with ^ and ends with $
      • +
    +
    +
    +

    Parameters

    +
      +
    • +
      col: string | string[] | pl.Series
      +
    +

    Returns pl.Expr

    +
    +

    Example

    > df = pl.DataFrame({
    > "ham": [1, 2, 3],
    > "hamburger": [11, 22, 33],
    > "foo": [3, 2, 1]})
    > df.select(col("foo"))
    shape: (3, 1)
    ╭─────╮
    │ foo │
    │ --- │
    │ i64 │
    ╞═════╡
    │ 3   │
    ├╌╌╌╌╌┤
    │ 2   │
    ├╌╌╌╌╌┤
    │ 1   │
    ╰─────╯
    > df.select(col("*"))
    shape: (3, 3)
    ╭─────┬───────────┬─────╮
    │ ham ┆ hamburger ┆ foo │
    │ --- ┆ ---       ┆ --- │
    │ i64 ┆ i64       ┆ i64 │
    ╞═════╪═══════════╪═════╡
    │ 1   ┆ 11        ┆ 3   │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ 2   ┆ 22        ┆ 2   │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ 3   ┆ 33        ┆ 1   │
    ╰─────┴───────────┴─────╯
    > df.select(col("^ham.*$"))
    shape: (3, 2)
    ╭─────┬───────────╮
    │ ham ┆ hamburger │
    │ --- ┆ ---       │
    │ i64 ┆ i64       │
    ╞═════╪═══════════╡
    │ 1   ┆ 11        │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┤
    │ 2   ┆ 22        │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┤
    │ 3   ┆ 33        │
    ╰─────┴───────────╯
    > df.select(col("*").exclude("ham"))
    shape: (3, 2)
    ╭───────────┬─────╮
    │ hamburger ┆ foo │
    │ ---       ┆ --- │
    │ i64       ┆ i64 │
    ╞═══════════╪═════╡
    │ 11        ┆ 3   │
    ├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ 22        ┆ 2   │
    ├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ 33        ┆ 1   │
    ╰───────────┴─────╯
    > df.select(col(["hamburger", "foo"])
    shape: (3, 2)
    ╭───────────┬─────╮
    │ hamburger ┆ foo │
    │ ---       ┆ --- │
    │ i64       ┆ i64 │
    ╞═══════════╪═════╡
    │ 11        ┆ 3   │
    ├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ 22        ┆ 2   │
    ├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ 33        ┆ 1   │
    ╰───────────┴─────╯
    > df.select(col(pl.Series(["hamburger", "foo"]))
    shape: (3, 2)
    ╭───────────┬─────╮
    │ hamburger ┆ foo │
    │ ---       ┆ --- │
    │ i64       ┆ i64 │
    ╞═══════════╪═════╡
    │ 11        ┆ 3   │
    ├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ 22        ┆ 2   │
    ├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ 33        ┆ 1   │
    ╰───────────┴─────╯
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\ No newline at end of file diff --git a/functions/pl.cols.html b/functions/pl.cols.html new file mode 100644 index 00000000..0fb36db9 --- /dev/null +++ b/functions/pl.cols.html @@ -0,0 +1,251 @@ +cols | nodejs-polars
+
+ +
+
+
+
+ +

Function cols

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\ No newline at end of file diff --git a/functions/pl.concat.html b/functions/pl.concat.html new file mode 100644 index 00000000..410e91ff --- /dev/null +++ b/functions/pl.concat.html @@ -0,0 +1,270 @@ +concat | nodejs-polars
+
+ +
+
+
+
+ +

Function concat

+
+
    + +
  • +

    Aggregate all the Dataframes/Series in a List of DataFrames/Series to a single DataFrame/Series.

    +
    +
    +

    Parameters

    +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > const df1 = pl.DataFrame({"a": [1], "b": [3]})
    > const df2 = pl.DataFrame({"a": [2], "b": [4]})
    > pl.concat([df1, df2])
    shape: (2, 2)
    ┌─────┬─────┐
    │ a   ┆ b   │
    │ --- ┆ --- │
    │ i64 ┆ i64 │
    ╞═════╪═════╡
    │ 1   ┆ 3   │
    ├╌╌╌╌╌┼╌╌╌╌╌┤
    │ 2   ┆ 4   │
    └─────┴─────┘
+
    +
    • + +
  • +
    +

    Type Parameters

    +
      +
    • +

      T

    +
    +

    Parameters

    +
      +
    • +
      items: pl.Series[]
      • +
    • +
      Optional options: {
          rechunk: boolean;
      }
      +
        +
      • +
        rechunk: boolean
    +

    Returns pl.Series

+
+
+
+
+

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\ No newline at end of file diff --git a/functions/pl.concatList.html b/functions/pl.concatList.html new file mode 100644 index 00000000..2117793a --- /dev/null +++ b/functions/pl.concatList.html @@ -0,0 +1,271 @@ +concatList | nodejs-polars
+
+ +
+
+
+
+ +

Function concatList

+
+
    + +
  • +

    Concat the arrays in a Series dtype List in linear time.

    +
    +
    +

    Parameters

    +
      +
    • +
      exprs: ExprOrString[]
      +

      Columns to concat into a List Series

      +
      +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      expr: ExprOrString
      • +
    • +
      Rest ...exprs: ExprOrString[]
    +

    Returns pl.Expr

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      expr: ExprOrString
      • +
    • +
      expr2: ExprOrString
      • +
    • +
      Rest ...exprs: ExprOrString[]
    +

    Returns pl.Expr

+
+
+
+
+

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\ No newline at end of file diff --git a/functions/pl.concatString.html b/functions/pl.concatString.html new file mode 100644 index 00000000..d0e5b85f --- /dev/null +++ b/functions/pl.concatString.html @@ -0,0 +1,259 @@ +concatString | nodejs-polars
+
+ +
+
+
+
+ +

Function concatString

+
+
    + +
  • +

    Concat Utf8 Series in linear time. Non utf8 columns are cast to utf8.

    +
    +
    +

    Parameters

    +
      +
    • +
      opts: {
          exprs: ExprOrString[];
          sep: string;
      }
      +
        +
      • +
        exprs: ExprOrString[]
        • +
      • +
        sep: string
    +

    Returns any

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      exprs: ExprOrString[]
      • +
    • +
      Optional sep: string
    +

    Returns any

+
+
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\ No newline at end of file diff --git a/functions/pl.count.html b/functions/pl.count.html new file mode 100644 index 00000000..74b06535 --- /dev/null +++ b/functions/pl.count.html @@ -0,0 +1,252 @@ +count | nodejs-polars
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+ +
+
+
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+ +

Function count

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\ No newline at end of file diff --git a/functions/pl.cov.html b/functions/pl.cov.html new file mode 100644 index 00000000..0204168c --- /dev/null +++ b/functions/pl.cov.html @@ -0,0 +1,244 @@ +cov | nodejs-polars
+
+ +
+
+
+
+ +

Function cov

+
+
    + +
  • +

    Compute the covariance between two columns/ expressions.

    +
    +
    +

    Parameters

    +
      +
    • +
      a: ExprOrString
      • +
    • +
      b: ExprOrString
    +

    Returns pl.Expr

    +
+
+
+
+
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\ No newline at end of file diff --git a/functions/pl.element.html b/functions/pl.element.html new file mode 100644 index 00000000..63844bdb --- /dev/null +++ b/functions/pl.element.html @@ -0,0 +1,240 @@ +element | nodejs-polars
+
+ +
+
+
+
+ +

Function element

+
+
    + +
  • +

    Alias for an element in evaluated in an eval expression.

    +
    +

    Returns pl.Expr

    +
    +

    Example

    *
     *  A horizontal rank computation by taking the elements of a list
     *
     *  >df = pl.DataFrame({"a": [1, 8, 3], "b": [4, 5, 2]})
     *  >df.withColumn(
     *  ...     pl.concatList(["a", "b"]).arr.eval(pl.element().rank()).alias("rank")
     *  ... )
     *  shape: (3, 3)
     *  ┌─────┬─────┬────────────┐
     *  │ a   ┆ b   ┆ rank       │
     *  │ --- ┆ --- ┆ ---        │
     *  │ i64 ┆ i64 ┆ list[f32]  │
     *  ╞═════╪═════╪════════════╡
     *  │ 1   ┆ 4   ┆ [1.0, 2.0] │
     *  ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┤
     *  │ 8   ┆ 5   ┆ [2.0, 1.0] │
     *  ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┤
     *  │ 3   ┆ 2   ┆ [2.0, 1.0] │
     *  └─────┴─────┴────────────┘
     *
     *  A mathematical operation on array elements
     *
     *  >df = pl.DataFrame({"a": [1, 8, 3], "b": [4, 5, 2]})
     *  >df.withColumn(
     *  ...     pl.concatList(["a", "b"]).arr.eval(pl.element().multiplyBy(2)).alias("a_b_doubled")
     *  ... )
     *  shape: (3, 3)
     *  ┌─────┬─────┬─────────────┐
     *  │ a   ┆ b   ┆ a_b_doubled │
     *  │ --- ┆ --- ┆ ---         │
     *  │ i64 ┆ i64 ┆ list[i64]   │
     *  ╞═════╪═════╪═════════════╡
     *  │ 1   ┆ 4   ┆ [2, 8]      │
     *  ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┤
     *  │ 8   ┆ 5   ┆ [16, 10]    │
     *  ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┤
     *  │ 3   ┆ 2   ┆ [6, 4]      │
     *  └─────┴─────┴─────────────┘
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\ No newline at end of file diff --git a/functions/pl.exclude.html b/functions/pl.exclude.html new file mode 100644 index 00000000..1ebb6789 --- /dev/null +++ b/functions/pl.exclude.html @@ -0,0 +1,257 @@ +exclude | nodejs-polars
+
+ +
+
+
+
+ +

Function exclude

+
+
    + +
  • +

    Exclude certain columns from a wildcard expression.

    +

    Syntactic sugar for:

    +
    > pl.col("*").exclude(columns)
+
    +
    +
    +

    Parameters

    +
      +
    • +
      columns: string | string[]
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      col: string
      • +
    • +
      Rest ...cols: string[]
    +

    Returns pl.Expr

+
+
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\ No newline at end of file diff --git a/functions/pl.first.html b/functions/pl.first.html new file mode 100644 index 00000000..0d9a6624 --- /dev/null +++ b/functions/pl.first.html @@ -0,0 +1,262 @@ +first | nodejs-polars
+
+ +
+
+
+
+ +

Function first

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\ No newline at end of file diff --git a/functions/pl.format.html b/functions/pl.format.html new file mode 100644 index 00000000..f4550b3a --- /dev/null +++ b/functions/pl.format.html @@ -0,0 +1,248 @@ +format | nodejs-polars
+
+ +
+
+
+
+ +

Function format

+
+
    + +
  • +

    String format utility for expressions +Note: strings will be interpolated as col(<value>). if you want a literal string, use lit(<value>)

    +
    +
    +

    Parameters

    +
      +
    • +
      strings: string | TemplateStringsArray
      • +
    • +
      Rest ...expr: ExprOrString[]
    +

    Returns pl.Expr

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "a": ["a", "b", "c"],
    ...   "b": [1, 2, 3],
    ... })
    > df.select(
    ...   pl.format("foo_{}_bar_{}", pl.col("a"), "b").alias("fmt"),
    ... )
    shape: (3, 1)
    ┌─────────────┐
    │ fmt         │
    │ ---         │
    │ str         │
    ╞═════════════╡
    │ foo_a_bar_1 │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ foo_b_bar_2 │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ foo_c_bar_3 │
    └─────────────┘

    // You can use format as tag function as well
    > pl.format("foo_{}_bar_{}", pl.col("a"), "b") // is the same as
    > pl.format`foo_${pl.col("a")}_bar_${"b"}`
+
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\ No newline at end of file diff --git a/functions/pl.groups.html b/functions/pl.groups.html new file mode 100644 index 00000000..d6a8eb16 --- /dev/null +++ b/functions/pl.groups.html @@ -0,0 +1,242 @@ +groups | nodejs-polars
+
+ +
+
+
+
+ +

Function groups

+
+
    + +
  • +

    Syntactic sugar for pl.col(column).aggGroups()

    +
    +
    +

    Parameters

    +
      +
    • +
      column: string
    +

    Returns pl.Expr

    +
+
+
+
+
+

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\ No newline at end of file diff --git a/functions/pl.head.html b/functions/pl.head.html new file mode 100644 index 00000000..ab942ed4 --- /dev/null +++ b/functions/pl.head.html @@ -0,0 +1,256 @@ +head | nodejs-polars
+
+ +
+
+
+
+ +

Function head

+
+
+
+
+
+
+

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\ No newline at end of file diff --git a/functions/pl.intRange.html b/functions/pl.intRange.html new file mode 100644 index 00000000..da0754ae --- /dev/null +++ b/functions/pl.intRange.html @@ -0,0 +1,294 @@ +intRange | nodejs-polars
+
+ +
+
+
+
+ +

Function intRange

+
+
    + +
  • +

    Create a range expression.

    +
    +

    This can be used in a select, with_column etc. +Be sure that the range size is equal to the DataFrame you are collecting.

    +
    +
    +

    Type Parameters

    +
      +
    • +

      T

    +
    +

    Parameters

    +
      +
    • +
      opts: {
          eager?: boolean;
          high: any;
          low: any;
          step: number;
      }
      +
        +
      • +
        Optional eager?: boolean
        • +
      • +
        high: any
        • +
      • +
        low: any
        • +
      • +
        step: number
    +

    Returns any

    +
    +

    Example

    > df.lazy()
    >   .filter(pl.col("foo").lt(pl.intRange(0, 100)))
    >   .collect()
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      low: any
      • +
    • +
      Optional high: any
      • +
    • +
      Optional step: number
      • +
    • +
      Optional eager: true
    +

    Returns pl.Series

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      low: any
      • +
    • +
      Optional high: any
      • +
    • +
      Optional step: number
      • +
    • +
      Optional eager: false
    +

    Returns pl.Expr

+
+
+
+
+

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\ No newline at end of file diff --git a/functions/pl.last.html b/functions/pl.last.html new file mode 100644 index 00000000..e6d12a1a --- /dev/null +++ b/functions/pl.last.html @@ -0,0 +1,242 @@ +last | nodejs-polars
+
+ +
+
+
+
+ +

Function last

+
+
    + +
  • +

    Get the last value.

    +
    +
    +

    Parameters

    +
    +

    Returns any

    +
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\ No newline at end of file diff --git a/functions/pl.list-2.html b/functions/pl.list-2.html new file mode 100644 index 00000000..e03b09cc --- /dev/null +++ b/functions/pl.list-2.html @@ -0,0 +1,242 @@ +list | nodejs-polars
+
+ +
+
+
+
+ +

Function list

+
+
    + +
  • +

    Syntactic sugar for pl.col(column).list()

    +
    +
    +

    Parameters

    +
      +
    • +
      column: ExprOrString
    +

    Returns pl.Expr

    +
+
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\ No newline at end of file diff --git a/functions/pl.lit.html b/functions/pl.lit.html new file mode 100644 index 00000000..2f97d986 --- /dev/null +++ b/functions/pl.lit.html @@ -0,0 +1,239 @@ +lit | nodejs-polars
+
+ +
+
+
+
+ +

Function lit

+
+
+
+
+
+
+

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\ No newline at end of file diff --git a/functions/pl.mean.html b/functions/pl.mean.html new file mode 100644 index 00000000..518161e7 --- /dev/null +++ b/functions/pl.mean.html @@ -0,0 +1,252 @@ +mean | nodejs-polars
+
+ +
+
+
+
+ +

Function mean

+
+
+
+
+
+
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\ No newline at end of file diff --git a/functions/pl.median.html b/functions/pl.median.html new file mode 100644 index 00000000..9500e569 --- /dev/null +++ b/functions/pl.median.html @@ -0,0 +1,252 @@ +median | nodejs-polars
+
+ +
+
+
+
+ +

Function median

+
+
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+
+
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\ No newline at end of file diff --git a/functions/pl.nUnique.html b/functions/pl.nUnique.html new file mode 100644 index 00000000..11eb7c0a --- /dev/null +++ b/functions/pl.nUnique.html @@ -0,0 +1,252 @@ +nUnique | nodejs-polars
+
+ +
+
+
+
+ +

Function nUnique

+
+
+
+
+
+
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\ No newline at end of file diff --git a/functions/pl.pearsonCorr.html b/functions/pl.pearsonCorr.html new file mode 100644 index 00000000..5acc8248 --- /dev/null +++ b/functions/pl.pearsonCorr.html @@ -0,0 +1,244 @@ +pearsonCorr | nodejs-polars
+
+ +
+
+
+
+ +

Function pearsonCorr

+
+
    + +
  • +

    Compute the pearson's correlation between two columns.

    +
    +
    +

    Parameters

    +
      +
    • +
      a: ExprOrString
      • +
    • +
      b: ExprOrString
    +

    Returns pl.Expr

    +
+
+
+
+
+

Settings

 +
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+
\ No newline at end of file diff --git a/functions/pl.quantile.html b/functions/pl.quantile.html new file mode 100644 index 00000000..d234d0d5 --- /dev/null +++ b/functions/pl.quantile.html @@ -0,0 +1,256 @@ +quantile | nodejs-polars
+
+ +
+
+
+
+ +

Function quantile

+
+
+
+
+
+
+

Settings

 +
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\ No newline at end of file diff --git a/functions/pl.readAvro.html b/functions/pl.readAvro.html new file mode 100644 index 00000000..cc4d4088 --- /dev/null +++ b/functions/pl.readAvro.html @@ -0,0 +1,244 @@ +readAvro | nodejs-polars
+
+ +
+
+
+
+ +

Function readAvro

+
+
    + +
  • +

    Read into a DataFrame from an avro file.

    +
    +
    +

    Parameters

    +
      +
    • +
      pathOrBody: string | Buffer
      • +
    • +
      Optional options: Partial<ReadAvroOptions>
    +

    Returns pl.DataFrame

    +
+
+
+
+
+

Settings

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\ No newline at end of file diff --git a/functions/pl.readCSV.html b/functions/pl.readCSV.html new file mode 100644 index 00000000..10ceb304 --- /dev/null +++ b/functions/pl.readCSV.html @@ -0,0 +1,254 @@ +readCSV | nodejs-polars
+
+ +
+
+
+
+ +

Function readCSV

+
+
    + +
  • +

    Read a CSV file or string into a Dataframe.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      pathOrBody: string | Buffer
      +

      path or buffer or string

      +
        +
      • path: Path to a file or a file like string. Any valid filepath can be used. Example: file.csv.
        • +
      • body: String or buffer to be read as a CSV
        • +
      +
      +
      • +
    • +
      Optional options: Partial<ReadCsvOptions>
      +
    +

    Returns pl.DataFrame

    DataFrame

    + +
+
+
+
+
+

Settings

 +
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\ No newline at end of file diff --git a/functions/pl.readCSVStream.html b/functions/pl.readCSVStream.html new file mode 100644 index 00000000..b1ffec93 --- /dev/null +++ b/functions/pl.readCSVStream.html @@ -0,0 +1,256 @@ +readCSVStream | nodejs-polars
+
+ +
+
+
+
+ +

Function readCSVStream

+
+
    + +
  • +

    Read a stream into a Dataframe.

    +

    Warning: this is much slower than scanCSV or readCSV

    +

    This will consume the entire stream into a single buffer and then call readCSV +Only use it when you must consume from a stream, or when performance is not a major consideration

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      stream: Readable
      +

      readable stream containing csv data

      +
      +
      • +
    • +
      Optional options: Partial<ReadCsvOptions>
      +
    +

    Returns Promise<pl.DataFrame>

    Promise

    + +
    +

    Example

    >>> const readStream = new Stream.Readable({read(){}});
    >>> readStream.push(`a,b\n`);
    >>> readStream.push(`1,2\n`);
    >>> readStream.push(`2,2\n`);
    >>> readStream.push(`3,2\n`);
    >>> readStream.push(`4,2\n`);
    >>> readStream.push(null);

    >>> pl.readCSVStream(readStream).then(df => console.log(df));
    shape: (4, 2)
    ┌─────┬─────┐
    │ a   ┆ b   │
    │ --- ┆ --- │
    │ i64 ┆ i64 │
    ╞═════╪═════╡
    │ 1   ┆ 2   │
    ├╌╌╌╌╌┼╌╌╌╌╌┤
    │ 2   ┆ 2   │
    ├╌╌╌╌╌┼╌╌╌╌╌┤
    │ 3   ┆ 2   │
    ├╌╌╌╌╌┼╌╌╌╌╌┤
    │ 4   ┆ 2   │
    └─────┴─────┘
+
    +
+
+
+
+
+

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+
\ No newline at end of file diff --git a/functions/pl.readIPC.html b/functions/pl.readIPC.html new file mode 100644 index 00000000..1c341453 --- /dev/null +++ b/functions/pl.readIPC.html @@ -0,0 +1,252 @@ +readIPC | nodejs-polars
+
+ +
+
+
+
+ +

Function readIPC

+
+
    + +
  • +

    Read into a DataFrame from Arrow IPC (Feather v2) file.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      pathOrBody: string | Buffer
      +

      path or buffer or string

      +
        +
      • path: Path to a file or a file like string. Any valid filepath can be used. Example: file.ipc.
        • +
      • body: String or buffer to be read as Arrow IPC
        • +
      +
      +
      • +
    • +
      Optional options: Partial<ReadIPCOptions>
    +

    Returns pl.DataFrame

    +
+
+
+
+
+

Settings

 +
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+
\ No newline at end of file diff --git a/functions/pl.readJSON.html b/functions/pl.readJSON.html new file mode 100644 index 00000000..763a00e9 --- /dev/null +++ b/functions/pl.readJSON.html @@ -0,0 +1,256 @@ +readJSON | nodejs-polars
+
+ +
+
+
+
+ +

Function readJSON

+
+
    + +
  • +

    Read a JSON file or string into a DataFrame.

    +
    +
    +

    Parameters

    +
      +
    • +
      pathOrBody: string | Buffer
      +

      path or buffer or string

      +
        +
      • path: Path to a file or a file like string. Any valid filepath can be used. Example: file.csv.
        • +
      • body: String or buffer to be read as a CSV
        • +
      +
      +
      • +
    • +
      Optional options: Partial<ReadJsonOptions>
      +
    +

    Returns pl.DataFrame

    (DataFrame)

    + +
    +

    Example

    const jsonString = `
    {"a", 1, "b", "foo", "c": 3}
    {"a": 2, "b": "bar", "c": 6}
    `
    > const df = pl.readJSON(jsonString)
    > console.log(df)
      shape: (2, 3)
    ╭─────┬─────┬─────╮
    │ a   ┆ b   ┆ c   │
    │ --- ┆ --- ┆ --- │
    │ i64 ┆ str ┆ i64 │
    ╞═════╪═════╪═════╡
    │ 1   ┆ foo ┆ 3   │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 2   ┆ bar ┆ 6   │
    ╰─────┴─────┴─────╯
+
    +
+
+
+
+
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\ No newline at end of file diff --git a/functions/pl.readJSONStream.html b/functions/pl.readJSONStream.html new file mode 100644 index 00000000..989e9140 --- /dev/null +++ b/functions/pl.readJSONStream.html @@ -0,0 +1,251 @@ +readJSONStream | nodejs-polars
+
+ +
+
+
+
+ +

Function readJSONStream

+
+
    + +
  • +

    Read a newline delimited JSON stream into a DataFrame.

    +
    +
    +

    Parameters

    +
      +
    • +
      stream: Readable
      +

      readable stream containing json data

      +
      +
      • +
    • +
      Optional options: Partial<ReadJsonOptions>
      +
    +

    Returns Promise<pl.DataFrame>

    +
    +

    Example

    >>> const readStream = new Stream.Readable({read(){}});
    >>> readStream.push(`${JSON.stringify({a: 1, b: 2})} \n`);
    >>> readStream.push(`${JSON.stringify({a: 2, b: 2})} \n`);
    >>> readStream.push(`${JSON.stringify({a: 3, b: 2})} \n`);
    >>> readStream.push(`${JSON.stringify({a: 4, b: 2})} \n`);
    >>> readStream.push(null);

    >>> pl.readJSONStream(readStream).then(df => console.log(df));
    shape: (4, 2)
    ┌─────┬─────┐
    │ a   ┆ b   │
    │ --- ┆ --- │
    │ i64 ┆ i64 │
    ╞═════╪═════╡
    │ 1   ┆ 2   │
    ├╌╌╌╌╌┼╌╌╌╌╌┤
    │ 2   ┆ 2   │
    ├╌╌╌╌╌┼╌╌╌╌╌┤
    │ 3   ┆ 2   │
    ├╌╌╌╌╌┼╌╌╌╌╌┤
    │ 4   ┆ 2   │
    └─────┴─────┘
+
    +
+
+
+
+
+

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+
\ No newline at end of file diff --git a/functions/pl.readParquet.html b/functions/pl.readParquet.html new file mode 100644 index 00000000..aa6f45cf --- /dev/null +++ b/functions/pl.readParquet.html @@ -0,0 +1,244 @@ +readParquet | nodejs-polars
+
+ +
+
+
+
+ +

Function readParquet

+
+
    + +
  • +

    Read into a DataFrame from a parquet file.

    +
    +
    +

    Parameters

    +
      +
    • +
      pathOrBody: string | Buffer
      • +
    • +
      Optional options: Partial<ReadParquetOptions>
    +

    Returns pl.DataFrame

    +
+
+
+
+
+

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 +
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\ No newline at end of file diff --git a/functions/pl.readRecords.html b/functions/pl.readRecords.html new file mode 100644 index 00000000..a1ee2ebd --- /dev/null +++ b/functions/pl.readRecords.html @@ -0,0 +1,259 @@ +readRecords | nodejs-polars
+
+ +
+
+
+
+ +

Function readRecords

+
+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      records: Record<string, any>[]
      • +
    • +
      Optional options: {
          schema: Record<string, DataType>;
      }
      +
    +

    Returns pl.DataFrame

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      records: Record<string, any>[]
      • +
    • +
      Optional options: {
          inferSchemaLength?: number;
      }
      +
        +
      • +
        Optional inferSchemaLength?: number
    +

    Returns pl.DataFrame

+
+
+
+
+

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 +
+
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\ No newline at end of file diff --git a/functions/pl.repeat.html b/functions/pl.repeat.html new file mode 100644 index 00000000..15f53e2c --- /dev/null +++ b/functions/pl.repeat.html @@ -0,0 +1,263 @@ +repeat | nodejs-polars
+
+ +
+
+
+
+ +

Function repeat

+
+
    + +
  • +

    Repeat a single value n times and collect into a Series.

    +
    +
    +

    Type Parameters

    +
      +
    • +

      V

    +
    +

    Parameters

    +
      +
    • +
      value: V
      +

      Value to repeat.

      +
      +
      • +
    • +
      n: number
      +

      Number of repeats

      +
      +
      • +
    • +
      name: string = ""
      +

      Optional name of the Series

      +
      +
    +

    Returns pl.Series

    +
    +

    Example


    >  const s = pl.repeat("a", 5)
    >  s.toArray()
    ["a", "a", "a", "a", "a"]
    
+
    +
+
+
+
+
+

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+
\ No newline at end of file diff --git a/functions/pl.scanCSV.html b/functions/pl.scanCSV.html new file mode 100644 index 00000000..97474518 --- /dev/null +++ b/functions/pl.scanCSV.html @@ -0,0 +1,251 @@ +scanCSV | nodejs-polars
+
+ +
+
+
+
+ +

Function scanCSV

+
+
    + +
  • +

    Lazily read from a CSV file or multiple files via glob patterns.

    +

    This allows the query optimizer to push down predicates and +projections to the scan level, thereby potentially reducing +memory overhead.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      path: string
      +

      path to a file

      +
      +
      • +
    • +
      Optional options: Partial<ScanCsvOptions>
    +

    Returns LazyDataFrame

    +
+
+
+
+
+

Settings

 +
+
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+
    +
+
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+
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+
\ No newline at end of file diff --git a/functions/pl.scanIPC.html b/functions/pl.scanIPC.html new file mode 100644 index 00000000..06368a00 --- /dev/null +++ b/functions/pl.scanIPC.html @@ -0,0 +1,248 @@ +scanIPC | nodejs-polars
+
+ +
+
+
+
+ +

Function scanIPC

+
+
    + +
  • +

    Lazily read from an Arrow IPC (Feather v2) file or multiple files via glob patterns.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      path: string
      +

      Path to a IPC file.

      +
      +
      • +
    • +
      Optional options: Partial<ScanIPCOptions>
    +

    Returns LazyDataFrame

    +
+
+
+
+
+

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 +
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+
\ No newline at end of file diff --git a/functions/pl.scanJson.html b/functions/pl.scanJson.html new file mode 100644 index 00000000..c342818f --- /dev/null +++ b/functions/pl.scanJson.html @@ -0,0 +1,256 @@ +scanJson | nodejs-polars
+
+ +
+
+
+
+ +

Function scanJson

+
+
    + +
  • +

    Read a JSON file or string into a DataFrame.

    +

    Note: Currently only newline delimited JSON is supported

    +
    +
    +

    Parameters

    +
      +
    • +
      path: string
      +

      path to json file

      +
        +
      • path: Path to a file or a file like string. Any valid filepath can be used. Example: ./file.json.
        • +
      +
      +
      • +
    • +
      Optional options: Partial<ScanJsonOptions>
      +
    +

    Returns LazyDataFrame

    (DataFrame)

    + +
    +

    Example

    > const df = pl.scanJson('path/to/file.json', {numRows: 2}).collectSync()
    > console.log(df)
      shape: (2, 3)
    ╭─────┬─────┬─────╮
    │ a   ┆ b   ┆ c   │
    │ --- ┆ --- ┆ --- │
    │ i64 ┆ str ┆ i64 │
    ╞═════╪═════╪═════╡
    │ 1   ┆ foo ┆ 3   │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 2   ┆ bar ┆ 6   │
    ╰─────┴─────┴─────╯
+
    +
+
+
+
+
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\ No newline at end of file diff --git a/functions/pl.scanParquet.html b/functions/pl.scanParquet.html new file mode 100644 index 00000000..ac3767c7 --- /dev/null +++ b/functions/pl.scanParquet.html @@ -0,0 +1,250 @@ +scanParquet | nodejs-polars
+
+ +
+
+
+
+ +

Function scanParquet

+
+
    + +
  • +

    Lazily read from a parquet file or multiple files via glob patterns.

    +
    +

    This allows the query optimizer to push down predicates and projections to the scan level, +thereby potentially reducing memory overhead.

    +
    +
    +

    Parameters

    +
      +
    • +
      path: string
      +

      Path to a file or or glob pattern

      +
      +
      • +
    • +
      options: ScanParquetOptions = {}
    +

    Returns LazyDataFrame

    +
+
+
+
+
+

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 +
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\ No newline at end of file diff --git a/functions/pl.select.html b/functions/pl.select.html new file mode 100644 index 00000000..f445fa03 --- /dev/null +++ b/functions/pl.select.html @@ -0,0 +1,245 @@ +select | nodejs-polars
+
+ +
+
+
+
+ +

Function select

+
+
    + +
  • +

    Run polars expressions without a context.

    +

    This is syntactic sugar for running df.select on an empty DataFrame.

    +
    +
    +

    Parameters

    +
      +
    • +
      expr: ExprOrString
      • +
    • +
      Rest ...exprs: ExprOrString[]
    +

    Returns pl.DataFrame

    +
+
+
+
+
+

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\ No newline at end of file diff --git a/functions/pl.spearmanRankCorr.html b/functions/pl.spearmanRankCorr.html new file mode 100644 index 00000000..5293ab4c --- /dev/null +++ b/functions/pl.spearmanRankCorr.html @@ -0,0 +1,244 @@ +spearmanRankCorr | nodejs-polars
+
+ +
+
+
+
+ +

Function spearmanRankCorr

+
+
    + +
  • +

    Compute the spearman rank correlation between two columns.

    +
    +
    +

    Parameters

    +
      +
    • +
      a: ExprOrString
      • +
    • +
      b: ExprOrString
    +

    Returns pl.Expr

    +
+
+
+
+
+

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\ No newline at end of file diff --git a/functions/pl.struct-2.html b/functions/pl.struct-2.html new file mode 100644 index 00000000..0f013833 --- /dev/null +++ b/functions/pl.struct-2.html @@ -0,0 +1,263 @@ +struct | nodejs-polars
+
+ +
+
+
+
+ +

Function struct

+
+
+
+
+
+
+

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\ No newline at end of file diff --git a/functions/pl.tail.html b/functions/pl.tail.html new file mode 100644 index 00000000..446e39a7 --- /dev/null +++ b/functions/pl.tail.html @@ -0,0 +1,256 @@ +tail | nodejs-polars
+
+ +
+
+
+
+ +

Function tail

+
+
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\ No newline at end of file diff --git a/functions/pl.when-1.html b/functions/pl.when-1.html new file mode 100644 index 00000000..1a2c6972 --- /dev/null +++ b/functions/pl.when-1.html @@ -0,0 +1,245 @@ +when | nodejs-polars
+
+ +
+
+
+
+ +

Function when

+
+
    + +
  • +

    Start a when, then, otherwise expression.

    +
    +
    +

    Parameters

    +
    +

    Returns When

    +
    +

    Example

    // Below we add a column with the value 1, where column "foo" > 2 and the value -1 where it isn't.
    > df = pl.DataFrame({"foo": [1, 3, 4], "bar": [3, 4, 0]})
    > df.withColumn(pl.when(pl.col("foo").gt(2)).then(pl.lit(1)).otherwise(pl.lit(-1)))
    shape: (3, 3)
    ┌─────┬─────┬─────────┐
    │ foo ┆ bar ┆ literal │
    │ --- ┆ --- ┆ ---     │
    │ i64 ┆ i64 ┆ i32     │
    ╞═════╪═════╪═════════╡
    │ 1   ┆ 3   ┆ -1      │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┤
    │ 3   ┆ 4   ┆ 1       │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┤
    │ 4   ┆ 0   ┆ 1       │
    └─────┴─────┴─────────┘

    // Or with multiple `when, thens` chained:
    > df.with_column(
    ...     pl.when(pl.col("foo").gt(2))
    ...     .then(1)
    ...     .when(pl.col("bar").gt(2))
    ...     .then(4)
    ...     .otherwise(-1)
    ... )
    shape: (3, 3)
    ┌─────┬─────┬─────────┐
    │ foo ┆ bar ┆ literal │
    │ --- ┆ --- ┆ ---     │
    │ i64 ┆ i64 ┆ i32     │
    ╞═════╪═════╪═════════╡
    │ 1   ┆ 3   ┆ 4       │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┤
    │ 3   ┆ 4   ┆ 1       │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┤
    │ 4   ┆ 0   ┆ 1       │
    └─────┴─────┴─────────┘
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\ No newline at end of file diff --git a/index.html b/index.html new file mode 100644 index 00000000..dbbd6baa --- /dev/null +++ b/index.html @@ -0,0 +1,212 @@ +nodejs-polars
+
+ +
+
+
+
+

nodejs-polars

+

Polars

rust docs +Build and test + +PyPI Latest Release +NPM Latest Release

+

Usage

Importing

// esm
import pl from 'nodejs-polars';

// require
const pl = require('nodejs-polars'); 
+
+

Series

> const fooSeries = pl.Series("foo", [1, 2, 3])
> fooSeries.sum()
6

// a lot operations support both positional and named arguments
// you can see the full specs in the docs or the type definitions
> fooSeries.sort(true)
> fooSeries.sort({reverse: true})
shape: (3,)
Series: 'foo' [f64]
[
        3
        2
        1
]
> fooSeries.toArray()
[1, 2, 3]

// Series are 'Iterables' so you can use javascript iterable syntax on them
> [...fooSeries]
[1, 2, 3]

> fooSeries[0]
1

+
+

DataFrame

>const df = pl.DataFrame(
...   {
...     A: [1, 2, 3, 4, 5],
...     fruits: ["banana", "banana", "apple", "apple", "banana"],
...     B: [5, 4, 3, 2, 1],
...     cars: ["beetle", "audi", "beetle", "beetle", "beetle"],
...   }
... )
> df.sort("fruits").select(
...     "fruits",
...     "cars",
...     pl.lit("fruits").alias("literal_string_fruits"),
...     pl.col("B").filter(pl.col("cars").eq(lit("beetle"))).sum(),
...     pl.col("A").filter(pl.col("B").gt(2)).sum().over("cars").alias("sum_A_by_cars"),
...     pl.col("A").sum().over("fruits").alias("sum_A_by_fruits"),
...     pl.col("A").reverse().over("fruits").flatten().alias("rev_A_by_fruits")
...   )
shape: (5, 8)
┌──────────┬──────────┬──────────────┬─────┬─────────────┬─────────────┬─────────────┐
│ fruits   ┆ cars     ┆ literal_stri ┆ B   ┆ sum_A_by_ca ┆ sum_A_by_fr ┆ rev_A_by_fr │
│ ---      ┆ ---      ┆ ng_fruits    ┆ --- ┆ rs          ┆ uits        ┆ uits        │
│ str      ┆ str      ┆ ---          ┆ i64 ┆ ---         ┆ ---         ┆ ---         │
│          ┆          ┆ str          ┆     ┆ i64         ┆ i64         ┆ i64         │
╞══════════╪══════════╪══════════════╪═════╪═════════════╪═════════════╪═════════════╡
│ "apple"  ┆ "beetle" ┆ "fruits"     ┆ 11  ┆ 4           ┆ 7           ┆ 4           │
├╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ "apple"  ┆ "beetle" ┆ "fruits"     ┆ 11  ┆ 4           ┆ 7           ┆ 3           │
├╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ "banana" ┆ "beetle" ┆ "fruits"     ┆ 11  ┆ 4           ┆ 8           ┆ 5           │
├╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ "banana" ┆ "audi"   ┆ "fruits"     ┆ 11  ┆ 2           ┆ 8           ┆ 2           │
├╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ "banana" ┆ "beetle" ┆ "fruits"     ┆ 11  ┆ 4           ┆ 8           ┆ 1           │
└──────────┴──────────┴──────────────┴─────┴─────────────┴─────────────┴─────────────┘
+
+
> df["cars"] // or df.getColumn("cars")
shape: (5,)
Series: 'cars' [str]
[
        "beetle"
        "beetle"
        "beetle"
        "audi"
        "beetle"
]
+
+

Node setup

Install the latest polars version with:

+
$ yarn add nodejs-polars # yarn
$ npm i -s nodejs-polars # npm
+
+

Releases happen quite often (weekly / every few days) at the moment, so updating polars regularly to get the latest bugfixes / features might not be a bad idea.

+

Minimum Requirements

    +
  • Node version >=16
    • +
  • Rust version >=1.59 - Only needed for development
    • +
+
+

Documentation

Want to know about all the features Polars supports? Read the docs!

+

Python

+

Rust

+

Node

+

Contribution

Want to contribute? Read our contribution guideline.

+

[Node]: compile polars from source

If you want a bleeding edge release or maximal performance you should compile polars from source.

+
    +
  1. Install the latest Rust compiler
    2. +
  2. Run npm|yarn install
    3. +
  3. Choose any of:
      +
    • Fastest binary, very long compile times:
      $ cd nodejs-polars && yarn build && yarn build:ts # this will generate a /bin directory with the compiles TS code, as well as the rust binary
+
      +
      • +
    • Debugging, fastest compile times but slow & large binary:
      $ cd nodejs-polars && yarn build:debug && yarn build:ts # this will generate a /bin directory with the compiles TS code, as well as the rust binary
+
      +
      • +
    +
    4. +
+

Acknowledgements

Development of Polars is proudly powered by

+

Xomnia

+

Sponsors

 

+
+
+
+
+
+

Settings

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\ No newline at end of file diff --git a/interfaces/ConcatOptions.html b/interfaces/ConcatOptions.html new file mode 100644 index 00000000..9443bd71 --- /dev/null +++ b/interfaces/ConcatOptions.html @@ -0,0 +1,166 @@ +ConcatOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface ConcatOptions

+
+

Options for concat

+
+
+
+

Hierarchy

+
    +
  • ConcatOptions
+
+
+
+ +
+
+

Properties

+
how? +rechunk? +
+
+

Properties

+
+

Optional how

+
how?: "vertical" | "horizontal"
+
+

Optional rechunk

+
rechunk?: boolean
+
+
+
+
+

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\ No newline at end of file diff --git a/interfaces/DataFrameConstructor.html b/interfaces/DataFrameConstructor.html new file mode 100644 index 00000000..908f5711 --- /dev/null +++ b/interfaces/DataFrameConstructor.html @@ -0,0 +1,231 @@ +DataFrameConstructor | nodejs-polars
+
+ +
+
+
+
+ +

Interface DataFrameConstructor

+
+

DataFrame constructor

+
+
+
+

Hierarchy

+
+
+
    + +
  • +

    Create an empty DataFrame

    +
    +

    Returns pl.DataFrame

    +
    • + +
  • +

    Create a DataFrame from a JavaScript object

    +
    +
    +

    Parameters

    +
      +
    • +
      data: any
      • +
    • +
      Optional options: {
          columns?: any[];
          inferSchemaLength?: number;
          orient?: "row" | "col";
          schema?: Record<string, string | DataType>;
      }
      +
        +
      • +
        Optional columns?: any[]
        • +
      • +
        Optional inferSchemaLength?: number
        • +
      • +
        Optional orient?: "row" | "col"
        • +
      • +
        Optional schema?: Record<string, string | DataType>
    +

    Returns pl.DataFrame

    +
    +

    Example

    data = {'a': [1n, 2n], 'b': [3, 4]}
    df = pl.DataFrame(data)
    df
    shape: (2, 2)
    ╭─────┬─────╮
    │ a   ┆ b   │
    │ --- ┆ --- │
    │ u64 ┆ i64 │
    ╞═════╪═════╡
    │ 1   ┆ 3   │
    ├╌╌╌╌╌┼╌╌╌╌╌┤
    │ 2   ┆ 4   │
    ╰─────┴─────╯
+
    +
+
+
+
+ +
+
+

Methods

+
deserialize +isDataFrame +
+
+

Methods

+
+

deserialize

+
+
+

isDataFrame

+
+
+
+
+
+

Settings

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\ No newline at end of file diff --git a/interfaces/ExprConstructor.html b/interfaces/ExprConstructor.html new file mode 100644 index 00000000..0f7de810 --- /dev/null +++ b/interfaces/ExprConstructor.html @@ -0,0 +1,192 @@ +ExprConstructor | nodejs-polars
+
+ +
+
+
+
+ +

Interface ExprConstructor

+
+

Hierarchy

+
    +
  • Deserialize<pl.Expr> +
      +
    • ExprConstructor
+
+
+
+ +
+
+

Methods

+
deserialize +isExpr +
+
+

Methods

+
+

deserialize

+
    + +
  • +

    De-serializes buffer via serde

    +
    +
    +

    Parameters

    +
      +
    • +
      buf: Buffer
      +

      buffer to deserialize

      +
      +
      • +
    • +
      format: "json" | "bincode"
      +

      json | bincode

      +
      +
    +

    Returns pl.Expr

    +
+
+

isExpr

+
+
+
+
+
+

Settings

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\ No newline at end of file diff --git a/interfaces/GroupBy.html b/interfaces/GroupBy.html new file mode 100644 index 00000000..0571ea0b --- /dev/null +++ b/interfaces/GroupBy.html @@ -0,0 +1,452 @@ +GroupBy | nodejs-polars
+
+ +
+
+
+
+ +

Interface GroupBy

+
+

Starts a new GroupBy operation.

+
+
+
+

Hierarchy

+
    +
  • GroupBy
+
+
+
+ +
+
+

Methods

+
[inspect] +agg +aggList +count +first +groups +head +last +max +mean +median +min +nUnique +pivot +quantile +sum +tail +toString +
+
+

Methods

+
+

[inspect]

+
    +
  • [inspect](): string
    • +
  • +

    Returns string

+
+

agg

+
    + +
  • +

    Use multiple aggregations on columns. +This can be combined with complete lazy API and is considered idiomatic polars.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Rest ...columns: pl.Expr[]
      +

      map of 'col' -> 'agg'

      +
        +
      • using lazy API (recommended): [col('foo').sum(), col('bar').min()]
        • +
      • using multiple aggs per column: {'foo': ['sum', 'numUnique'], 'bar': ['min'] }
        • +
      • using single agg per column: {'foo': ['sum'], 'bar': 'min' }
        • +
      +
      +
    +

    Returns pl.DataFrame

    +
    +

    Example

    // use lazy api rest parameter style
    > df.groupBy('foo', 'bar')
    >   .agg(pl.sum('ham'), col('spam').tail(4).sum())

    // use lazy api array style
    > df.groupBy('foo', 'bar')
    >   .agg([pl.sum('ham'), col('spam').tail(4).sum()])

    // use a mapping
    > df.groupBy('foo', 'bar')
    >   .agg({'spam': ['sum', 'min']})
    
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      columns: Record<string, keyof pl.Expr | (keyof pl.Expr)[]>
    +

    Returns pl.DataFrame

+
+

aggList

+
+
+

count

+
+
+

first

+
+
+

groups

+
+
+

head

+
    + +
  • +

    Return first n rows of each group.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional n: number
      +

      Number of values of the group to select

      +
      +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    >   "letters": ["c", "c", "a", "c", "a", "b"],
    >   "nrs": [1, 2, 3, 4, 5, 6]
    > })
    > df
    shape: (6, 2)
    ╭─────────┬─────╮
    │ letters ┆ nrs │
    │ ---     ┆ --- │
    │ str     ┆ i64 │
    ╞═════════╪═════╡
    │ "c"     ┆ 1   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "c"     ┆ 2   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "a"     ┆ 3   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "c"     ┆ 4   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "a"     ┆ 5   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "b"     ┆ 6   │
    ╰─────────┴─────╯
    > df.groupby("letters")
    >   .head(2)
    >   .sort("letters");
    > >>
    shape: (5, 2)
    ╭─────────┬─────╮
    │ letters ┆ nrs │
    │ ---     ┆ --- │
    │ str     ┆ i64 │
    ╞═════════╪═════╡
    │ "a"     ┆ 3   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "a"     ┆ 5   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "b"     ┆ 6   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "c"     ┆ 1   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "c"     ┆ 2   │
    ╰─────────┴─────╯
+
    +
+
+

last

+
+
+

max

+
+
+

mean

+
+
+

median

+
+
+

min

+
+
+

nUnique

+
+
+

pivot

+
    + +
  • +

    Do a pivot operation based on the group key, a pivot column and an aggregation function on the values column.

    +
    +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          pivotCol: string;
          valuesCol: string;
      }
      +
        +
      • +
        pivotCol: string
        • +
      • +
        valuesCol: string
    +

    Returns PivotOps

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      pivotCol: string
      • +
    • +
      valuesCol: string
    +

    Returns PivotOps

+
+

quantile

+
+
+

sum

+
+
+

tail

+
+
+

toString

+
+
+
+
+
+

Settings

 +
+
+

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+
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+
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+
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+
\ No newline at end of file diff --git a/interfaces/JoinOptions.html b/interfaces/JoinOptions.html new file mode 100644 index 00000000..863fc60b --- /dev/null +++ b/interfaces/JoinOptions.html @@ -0,0 +1,203 @@ +JoinOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface JoinOptions

+
+

options for join operations

+
+
+

See

DataFrame.join

+
+
+

Hierarchy

+
+
+
+
+ +
+
+

Properties

+
how? +leftOn? +on? +rightOn? +suffix? +
+
+

Properties

+
+

Optional how

+
how?: JoinType
+

join type

+
+
+
+

Optional leftOn

+
leftOn?: string | string[]
+

left join column

+
+
+
+

Optional on

+
on?: string | string[]
+

left and right join column

+
+
+
+

Optional rightOn

+
rightOn?: string | string[]
+

right join column

+
+
+
+

Optional suffix

+
suffix?: string
+
+
+
+
+

Settings

 +
+
+

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\ No newline at end of file diff --git a/interfaces/JsonScanOptions.html b/interfaces/JsonScanOptions.html new file mode 100644 index 00000000..8811aa36 --- /dev/null +++ b/interfaces/JsonScanOptions.html @@ -0,0 +1,201 @@ +JsonScanOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface JsonScanOptions

+
+

Options for scanJson

+
+
+
+

Hierarchy

+
    +
  • JsonScanOptions
+
+
+
+ +
+
+

Properties

+
batchSize? +inferSchemaLength? +lowMemory? +nThreads? +numRows? +rowCount? +skipRows? +
+
+

Properties

+
+

Optional batchSize

+
batchSize?: number
+
+

Optional inferSchemaLength

+
inferSchemaLength?: number
+
+

Optional lowMemory

+
lowMemory?: boolean
+
+

Optional nThreads

+
nThreads?: number
+
+

Optional numRows

+
numRows?: number
+
+

Optional rowCount

+
rowCount?: RowCount
+
+

Optional skipRows

+
skipRows?: number
+
+
+
+
+

Settings

 +
+
+

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+
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+
\ No newline at end of file diff --git a/interfaces/LazyDataFrameConstructor.html b/interfaces/LazyDataFrameConstructor.html new file mode 100644 index 00000000..8048389d --- /dev/null +++ b/interfaces/LazyDataFrameConstructor.html @@ -0,0 +1,192 @@ +LazyDataFrameConstructor | nodejs-polars
+
+ +
+
+
+
+ +

Interface LazyDataFrameConstructor

+
+

Hierarchy

+
    +
  • Deserialize<LazyDataFrame> +
      +
    • LazyDataFrameConstructor
+
+
+
+ +
+
+

Methods

+
deserialize +fromExternal +
+
+

Methods

+
+

deserialize

+
    + +
  • +

    De-serializes buffer via serde

    +
    +
    +

    Parameters

    +
      +
    • +
      buf: Buffer
      +

      buffer to deserialize

      +
      +
      • +
    • +
      format: "json" | "bincode"
      +

      json | bincode

      +
      +
    +

    Returns LazyDataFrame

    +
+
+

fromExternal

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      external: any
    +

    Returns LazyDataFrame

+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

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 +
+
+
+
+
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\ No newline at end of file diff --git a/interfaces/LazyGroupBy.html b/interfaces/LazyGroupBy.html new file mode 100644 index 00000000..ec85ad98 --- /dev/null +++ b/interfaces/LazyGroupBy.html @@ -0,0 +1,212 @@ +LazyGroupBy | nodejs-polars
+
+ +
+
+
+
+ +

Interface LazyGroupBy

+
+

LazyGroupBy

+
+
+
+

Hierarchy

+
    +
  • LazyGroupBy
+
+
+
+ +
+
+

Methods

+
agg +head +tail +
+
+

Methods

+
+

agg

+
    + +
  • +

    Aggregate the groupby.

    +
    +
    +

    Parameters

    +
    +

    Returns LazyDataFrame

    +
+
+

head

+
    + +
  • +

    Return the first n rows of the groupby.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional n: number
      +

      number of rows to return

      +
      +
    +

    Returns LazyDataFrame

    +
+
+

tail

+
    + +
  • +

    Return the last n rows of the groupby.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional n: number
      +

      number of rows to return

      +
      +
    +

    Returns LazyDataFrame

    +
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
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+
+
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+
\ No newline at end of file diff --git a/interfaces/LazyJoinOptions.html b/interfaces/LazyJoinOptions.html new file mode 100644 index 00000000..2a2aecee --- /dev/null +++ b/interfaces/LazyJoinOptions.html @@ -0,0 +1,222 @@ +LazyJoinOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface LazyJoinOptions

+
+

options for lazy join operations

+
+
+

See

LazyDataFrame.join

+
+
+

Hierarchy

+
+
+
+
+ +
+
+

Properties

+
allowParallel? +forceParallel? +how? +leftOn? +on? +rightOn? +suffix? +
+
+

Properties

+
+

Optional allowParallel

+
allowParallel?: boolean
+
+

Optional forceParallel

+
forceParallel?: boolean
+
+

Optional how

+
how?: JoinType
+

join type

+
+
+
+

Optional leftOn

+
leftOn?: string | string[]
+

left join column

+
+
+
+

Optional on

+
on?: string | string[]
+

left and right join column

+
+
+
+

Optional rightOn

+
rightOn?: string | string[]
+

right join column

+
+
+
+

Optional suffix

+
suffix?: string
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

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+
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\ No newline at end of file diff --git a/interfaces/ReadAvroOptions.html b/interfaces/ReadAvroOptions.html new file mode 100644 index 00000000..2e3606d7 --- /dev/null +++ b/interfaces/ReadAvroOptions.html @@ -0,0 +1,169 @@ +ReadAvroOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface ReadAvroOptions

+
+

Hierarchy

+
    +
  • ReadAvroOptions
+
+
+
+ +
+
+

Properties

+
columns +nRows +projection +
+
+

Properties

+
+

columns

+
columns: string[] | number[]
+
+

nRows

+
nRows: number
+
+

projection

+
projection: number
+
+
+
+
+

Settings

 +
+
+

Member Visibility

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    +
+
+

Theme

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\ No newline at end of file diff --git a/interfaces/ReadCsvOptions.html b/interfaces/ReadCsvOptions.html new file mode 100644 index 00000000..eec84a08 --- /dev/null +++ b/interfaces/ReadCsvOptions.html @@ -0,0 +1,309 @@ +ReadCsvOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface ReadCsvOptions

+
+

Hierarchy

+
    +
  • ReadCsvOptions
+
+
+
+ +
+
+

Properties

+
batchSize +chunkSize +columns +commentChar +dtypes +encoding +endRows +hasHeader +ignoreErrors +inferSchemaLength +lowMemory +nRows +nullValues +numThreads +parseDates +projection +quotChar +rechunk +rowCount +sep +skipRows +skipRowsAfterHeader +startRows +
+
+

Properties

+
+

batchSize

+
batchSize: number
+
+

chunkSize

+
chunkSize: number
+
+

columns

+
columns: string[]
+
+

commentChar

+
commentChar: string
+
+

dtypes

+
dtypes: Record<string, DataType>
+
+

encoding

+
encoding: "utf8" | "utf8-lossy"
+
+

endRows

+
endRows: number
+
+

hasHeader

+
hasHeader: boolean
+
+

ignoreErrors

+
ignoreErrors: boolean
+
+

inferSchemaLength

+
inferSchemaLength: null | number
+
+

lowMemory

+
lowMemory: boolean
+
+

nRows

+
nRows: number
+
+

nullValues

+
nullValues: string | string[] | Record<string, string>
+
+

numThreads

+
numThreads: number
+
+

parseDates

+
parseDates: boolean
+
+

projection

+
projection: number
+
+

quotChar

+
quotChar: string
+
+

rechunk

+
rechunk: boolean
+
+

rowCount

+
rowCount: any
+
+

sep

+
sep: string
+
+

skipRows

+
skipRows: number
+
+

skipRowsAfterHeader

+
skipRowsAfterHeader: number
+
+

startRows

+
startRows: number
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
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\ No newline at end of file diff --git a/interfaces/ReadIPCOptions.html b/interfaces/ReadIPCOptions.html new file mode 100644 index 00000000..071b5380 --- /dev/null +++ b/interfaces/ReadIPCOptions.html @@ -0,0 +1,162 @@ +ReadIPCOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface ReadIPCOptions

+
+

Hierarchy

+
    +
  • ReadIPCOptions
+
+
+
+ +
+
+

Properties

+
columns +nRows +
+
+

Properties

+
+

columns

+
columns: string[] | number[]
+
+

nRows

+
nRows: number
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
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\ No newline at end of file diff --git a/interfaces/ReadJsonOptions.html b/interfaces/ReadJsonOptions.html new file mode 100644 index 00000000..32f831ac --- /dev/null +++ b/interfaces/ReadJsonOptions.html @@ -0,0 +1,169 @@ +ReadJsonOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface ReadJsonOptions

+
+

Hierarchy

+
    +
  • ReadJsonOptions
+
+
+
+ +
+
+

Properties

+
batchSize +format +inferSchemaLength +
+
+

Properties

+
+

batchSize

+
batchSize: number
+
+

format

+
format: "json" | "lines"
+
+

inferSchemaLength

+
inferSchemaLength: null | number
+
+
+
+
+

Settings

 +
+
+

Member Visibility

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    +
+
+

Theme

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\ No newline at end of file diff --git a/interfaces/ReadParquetOptions.html b/interfaces/ReadParquetOptions.html new file mode 100644 index 00000000..aff8211d --- /dev/null +++ b/interfaces/ReadParquetOptions.html @@ -0,0 +1,180 @@ +ReadParquetOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface ReadParquetOptions

+
+

Options for readParquet

+
+
+
+

Hierarchy

+
    +
  • ReadParquetOptions
+
+
+
+ +
+
+

Properties

+
columns? +numRows? +parallel? +rowCount? +
+
+

Properties

+
+

Optional columns

+
columns?: string[] | number[]
+
+

Optional numRows

+
numRows?: number
+
+

Optional parallel

+
parallel?: "auto" | "columns" | "row_groups" | "none"
+
+

Optional rowCount

+
rowCount?: RowCount
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
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\ No newline at end of file diff --git a/interfaces/RollingOptions.html b/interfaces/RollingOptions.html new file mode 100644 index 00000000..0b376495 --- /dev/null +++ b/interfaces/RollingOptions.html @@ -0,0 +1,182 @@ +RollingOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface RollingOptions

+
+

options for rolling window operations

+
+
+
+

Hierarchy

+
+
+
+
+ +
+
+

Properties

+
center? +minPeriods? +weights? +windowSize +
+
+

Properties

+
+

Optional center

+
center?: boolean
+
+

Optional minPeriods

+
minPeriods?: number
+
+

Optional weights

+
weights?: number[]
+
+

windowSize

+
windowSize: number
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
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Theme

+
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On This Page

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\ No newline at end of file diff --git a/interfaces/RollingQuantileOptions.html b/interfaces/RollingQuantileOptions.html new file mode 100644 index 00000000..f2dcc52d --- /dev/null +++ b/interfaces/RollingQuantileOptions.html @@ -0,0 +1,200 @@ +RollingQuantileOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface RollingQuantileOptions

+
+

options for rolling quantile operations

+
+
+
+

Hierarchy

+
+
+
+
+ +
+
+

Properties

+
center? +interpolation? +minPeriods? +quantile +weights? +windowSize +
+
+

Properties

+
+

Optional center

+
center?: boolean
+
+

Optional interpolation

+
interpolation?: InterpolationMethod
+
+

Optional minPeriods

+
minPeriods?: number
+
+

quantile

+
quantile: number
+
+

Optional weights

+
weights?: number[]
+
+

windowSize

+
windowSize: number
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
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+
\ No newline at end of file diff --git a/interfaces/RollingSkewOptions.html b/interfaces/RollingSkewOptions.html new file mode 100644 index 00000000..c38ab164 --- /dev/null +++ b/interfaces/RollingSkewOptions.html @@ -0,0 +1,166 @@ +RollingSkewOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface RollingSkewOptions

+
+

options for rolling mean operations

+
+
+
+

Hierarchy

+
    +
  • RollingSkewOptions
+
+
+
+ +
+
+

Properties

+
bias? +windowSize +
+
+

Properties

+
+

Optional bias

+
bias?: boolean
+
+

windowSize

+
windowSize: number
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
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On This Page

 +
+
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+
+
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\ No newline at end of file diff --git a/interfaces/RowCount.html b/interfaces/RowCount.html new file mode 100644 index 00000000..81010040 --- /dev/null +++ b/interfaces/RowCount.html @@ -0,0 +1,172 @@ +RowCount | nodejs-polars
+
+ +
+
+
+
+ +

Interface RowCount

+
+

Add row count as column

+
+
+
+

Hierarchy

+
    +
  • RowCount
+
+
+
+ +
+
+

Properties

+
name +offset +
+
+

Properties

+
+

name

+
name: string
+

name of column

+
+
+
+

offset

+
offset: string
+

offset

+
+
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
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+
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\ No newline at end of file diff --git a/interfaces/ScanCsvOptions.html b/interfaces/ScanCsvOptions.html new file mode 100644 index 00000000..cf3ad715 --- /dev/null +++ b/interfaces/ScanCsvOptions.html @@ -0,0 +1,253 @@ +ScanCsvOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface ScanCsvOptions

+
+

Hierarchy

+
    +
  • ScanCsvOptions
+
+
+
+ +
+
+

Properties

+
cache +commentChar +encoding +hasHeader +ignoreErrors +inferSchemaLength +lowMemory +nRows +nullValues +parseDates +quoteChar +rechunk +sep +skipRows +skipRowsAfterHeader +
+
+

Properties

+
+

cache

+
cache: boolean
+
+

commentChar

+
commentChar: string
+
+

encoding

+
encoding: string
+
+

hasHeader

+
hasHeader: boolean
+
+

ignoreErrors

+
ignoreErrors: boolean
+
+

inferSchemaLength

+
inferSchemaLength: null | number
+
+

lowMemory

+
lowMemory: boolean
+
+

nRows

+
nRows: number
+
+

nullValues

+
nullValues: string | string[] | Record<string, string>
+
+

parseDates

+
parseDates: boolean
+
+

quoteChar

+
quoteChar: string
+
+

rechunk

+
rechunk: boolean
+
+

sep

+
sep: string
+
+

skipRows

+
skipRows: number
+
+

skipRowsAfterHeader

+
skipRowsAfterHeader: number
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
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On This Page

 +
+
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\ No newline at end of file diff --git a/interfaces/ScanIPCOptions.html b/interfaces/ScanIPCOptions.html new file mode 100644 index 00000000..536715cf --- /dev/null +++ b/interfaces/ScanIPCOptions.html @@ -0,0 +1,169 @@ +ScanIPCOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface ScanIPCOptions

+
+

Hierarchy

+
    +
  • ScanIPCOptions
+
+
+
+ +
+
+

Properties

+
cache +nRows +rechunk +
+
+

Properties

+
+

cache

+
cache: boolean
+
+

nRows

+
nRows: number
+
+

rechunk

+
rechunk: boolean
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
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On This Page

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\ No newline at end of file diff --git a/interfaces/ScanParquetOptions.html b/interfaces/ScanParquetOptions.html new file mode 100644 index 00000000..b74bbef7 --- /dev/null +++ b/interfaces/ScanParquetOptions.html @@ -0,0 +1,194 @@ +ScanParquetOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface ScanParquetOptions

+
+

Options for scanParquet

+
+
+
+

Hierarchy

+
    +
  • ScanParquetOptions
+
+
+
+ +
+
+

Properties

+
cache? +columns? +numRows? +parallel? +rechunk? +rowCount? +
+
+

Properties

+
+

Optional cache

+
cache?: boolean
+
+

Optional columns

+
columns?: string[] | number[]
+
+

Optional numRows

+
numRows?: number
+
+

Optional parallel

+
parallel?: "auto" | "columns" | "row_groups" | "none"
+
+

Optional rechunk

+
rechunk?: boolean
+
+

Optional rowCount

+
rowCount?: RowCount
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

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+
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\ No newline at end of file diff --git a/interfaces/StringNamespace.html b/interfaces/StringNamespace.html new file mode 100644 index 00000000..32bd2b3e --- /dev/null +++ b/interfaces/StringNamespace.html @@ -0,0 +1,632 @@ +StringNamespace | nodejs-polars
+
+ +
+
+
+
+ +

Interface StringNamespace

+
+

namespace containing expr string functions

+
+
+
+

Hierarchy

+
    +
  • StringFunctions<pl.Expr> +
      +
    • StringNamespace
+
+
+
+ +
+
+

Methods

+
concat +contains +decode +encode +extract +jsonPathMatch +lengths +lstrip +padEnd +padStart +replace +replaceAll +rstrip +slice +split +strip +strptime +toLowerCase +toUpperCase +zFill +
+
+

Methods

+
+

concat

+
    + +
  • +

    Vertically concat the values in the Series to a single string value.

    +
    +
    +

    Parameters

    +
      +
    • +
      delimiter: string
    +

    Returns pl.Expr

    +
    +

    Example

    >>> df = pl.DataFrame({"foo": [1, null, 2]})
    >>> df = df.select(pl.col("foo").str.concat("-"))
    >>> df
    shape: (1, 1)
    ┌──────────┐
    │ foo      │
    │ ---      │
    │ str      │
    ╞══════════╡
    │ 1-null-2 │
    └──────────┘
+
    +
+
+

contains

+
    + +
  • +

    Check if strings in Series contain regex pattern.

    +
    +
    +

    Parameters

    +
      +
    • +
      pat: string | RegExp
    +

    Returns pl.Expr

    +
+
+

decode

+
    + +
  • +

    Decodes a value using the provided encoding

    +
    +
    +

    Parameters

    +
      +
    • +
      encoding: "base64" | "hex"
      +

      hex | base64

      +
      +
      • +
    • +
      Optional strict: boolean
      +

      how to handle invalid inputs

      +
      - true: method will throw error if unable to decode a value
      - false: unhandled values will be replaced with `null`
+
      +
      +
    +

    Returns pl.Expr

    +
    +

    Example

    >>> df = pl.DataFrame({"strings": ["666f6f", "626172", null]})
    >>> df.select(col("strings").str.decode("hex"))
    shape: (3, 1)
    ┌─────────┐
    │ strings │
    │ ---     │
    │ str     │
    ╞═════════╡
    │ foo     │
    ├╌╌╌╌╌╌╌╌╌┤
    │ bar     │
    ├╌╌╌╌╌╌╌╌╌┤
    │ null    │
    └─────────┘
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      options: {
          encoding: "base64" | "hex";
          strict?: boolean;
      }
      +
        +
      • +
        encoding: "base64" | "hex"
        • +
      • +
        Optional strict?: boolean
    +

    Returns pl.Expr

+
+

encode

+
    + +
  • +

    Encodes a value using the provided encoding

    +
    +
    +

    Parameters

    +
      +
    • +
      encoding: "base64" | "hex"
      +

      hex | base64

      +
      +
    +

    Returns pl.Expr

    +
    +

    Example

    >>> df = pl.DataFrame({"strings", ["foo", "bar", null]})
    >>> df.select(col("strings").str.encode("hex"))
    shape: (3, 1)
    ┌─────────┐
    │ strings │
    │ ---     │
    │ str     │
    ╞═════════╡
    │ 666f6f  │
    ├╌╌╌╌╌╌╌╌╌┤
    │ 626172  │
    ├╌╌╌╌╌╌╌╌╌┤
    │ null    │
    └─────────┘
+
    +
+
+

extract

+
    + +
  • +

    Extract the target capture group from provided patterns.

    +
    +
    +

    Parameters

    +
      +
    • +
      pat: string | RegExp
      • +
    • +
      groupIndex: number
      +

      Index of the targeted capture group. +Group 0 mean the whole pattern, first group begin at index 1 +Default to the first capture group

      +
      +
    +

    Returns pl.Expr

    Utf8 array. Contain null if original value is null or regex capture nothing.

    + +
    +

    Example

    > df = pl.DataFrame({
    ...   'a': [
    ...       'http://vote.com/ballon_dor?candidate=messi&ref=polars',
    ...       'http://vote.com/ballon_dor?candidat=jorginho&ref=polars',
    ...       'http://vote.com/ballon_dor?candidate=ronaldo&ref=polars'
    ...   ]})
    > df.select(pl.col('a').str.extract(/candidate=(\w+)/, 1))
    shape: (3, 1)
    ┌─────────┐
    │ a       │
    │ ---     │
    │ str     │
    ╞═════════╡
    │ messi   │
    ├╌╌╌╌╌╌╌╌╌┤
    │ null    │
    ├╌╌╌╌╌╌╌╌╌┤
    │ ronaldo │
    └─────────┘
+
    +
+
+

jsonPathMatch

+
    + +
  • +

    Extract the first match of json string with provided JSONPath expression. +Throw errors if encounter invalid json strings. +All return value will be casted to Utf8 regardless of the original value.

    +
    +
    +

    Parameters

    +
      +
    • +
      pat: string
    +

    Returns pl.Expr

    Utf8 array. Contain null if original value is null or the jsonPath return nothing.

    + +
    +

    See

    https://goessner.net/articles/JsonPath/

    + +

    Example

    >>> df = pl.DataFrame({
    ...   'json_val': [
    ...     '{"a":"1"}',
    ...     null,
    ...     '{"a":2}',
    ...     '{"a":2.1}',
    ...     '{"a":true}'
    ...   ]
    ... })
    >>> df.select(pl.col('json_val').str.jsonPathMatch('$.a')
    shape: (5,)
    Series: 'json_val' [str]
    [
        "1"
        null
        "2"
        "2.1"
        "true"
    ]
+
    +
+
+

lengths

+
+
+

lstrip

+
+
+

padEnd

+
    + +
  • +

    Add a trailing fillChar to a string until string length is reached. +If string is longer or equal to given length no modifications will be done

    +
    +
    +

    Parameters

    +
      +
    • +
      length: number
      +

      of the final string

      +
      +
      • +
    • +
      fillChar: string
      +

      that will fill the string.

      +
      +
    +

    Returns pl.Expr

    +
    +

    Note

    If a string longer than 1 character is provided only the first character will be used + *

    + +

    Example

    > df = pl.DataFrame({
    ...   'foo': [
    ...       "a",
    ...       "b",
    ...       "LONG_WORD",
    ...       "cow"
    ...   ]})
    > df.select(pl.col('foo').str.padEnd("_", 3)
    shape: (4, 1)
    ┌──────────┐
    │ a        │
    │ -------- │
    │ str      │
    ╞══════════╡
    │ a__      │
    ├╌╌╌╌╌╌╌╌╌╌┤
    │ b__      │
    ├╌╌╌╌╌╌╌╌╌╌┤
    │ LONG_WORD│
    ├╌╌╌╌╌╌╌╌╌╌┤
    │ cow      │
    └──────────┘
+
    +
+
+

padStart

+
    + +
  • +

    Add a leading fillChar to a string until string length is reached. +If string is longer or equal to given length no modifications will be done

    +
    +
    +

    Parameters

    +
      +
    • +
      length: number
      +

      of the final string

      +
      +
      • +
    • +
      fillChar: string
      +

      that will fill the string.

      +
      +
    +

    Returns pl.Expr

    +
    +

    Note

    If a string longer than 1 character is provided only the first character will be used

    + +

    Example

    > df = pl.DataFrame({
    ...   'foo': [
    ...       "a",
    ...       "b",
    ...       "LONG_WORD",
    ...       "cow"
    ...   ]})
    > df.select(pl.col('foo').str.padStart("_", 3)
    shape: (4, 1)
    ┌──────────┐
    │ a        │
    │ -------- │
    │ str      │
    ╞══════════╡
    │ __a      │
    ├╌╌╌╌╌╌╌╌╌╌┤
    │ __b      │
    ├╌╌╌╌╌╌╌╌╌╌┤
    │ LONG_WORD│
    ├╌╌╌╌╌╌╌╌╌╌┤
    │ cow      │
    └──────────┘
+
    +
+
+

replace

+
    + +
  • +

    Replace first regex match with a string value.

    +
    +
    +

    Parameters

    +
      +
    • +
      pat: string | RegExp
      • +
    • +
      val: string
    +

    Returns pl.Expr

    +
+
+

replaceAll

+
    + +
  • +

    Replace all regex matches with a string value.

    +
    +
    +

    Parameters

    +
      +
    • +
      pat: string | RegExp
      • +
    • +
      val: string
    +

    Returns pl.Expr

    +
+
+

rstrip

+
+
+

slice

+
    + +
  • +

    Create subslices of the string values of a Utf8 Series.

    +
    +
    +

    Parameters

    +
      +
    • +
      start: number
      +

      Start of the slice (negative indexing may be used).

      +
      +
      • +
    • +
      Optional length: number
      +

      Optional length of the slice.

      +
      +
    +

    Returns pl.Expr

    +
+
+

split

+
    + +
  • +

    Split a string into substrings using the specified separator and return them as a Series.

    +
    +
    +

    Parameters

    +
      +
    • +
      by: string
      • +
    • +
      Optional options: boolean | {
          inclusive?: boolean;
      }
    +

    Returns pl.Expr

    +
+
+

strip

+
+
+

strptime

+
    + +
  • +

    Parse a Series of dtype Utf8 to a Date/Datetime Series.

    +
    +
    +

    Parameters

    +
      +
    • +
      datatype: _Date
      +

      Date or Datetime.

      +
      +
      • +
    • +
      Optional fmt: string
      +

      formatting syntax. Read more

      +
      +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      datatype: _Datetime
      • +
    • +
      Optional fmt: string
    +

    Returns pl.Expr

+
+

toLowerCase

+
    + +
  • +

    Modify the strings to their lowercase equivalent.

    +
    +

    Returns pl.Expr

    +
+
+

toUpperCase

+
    + +
  • +

    Modify the strings to their uppercase equivalent.

    +
    +

    Returns pl.Expr

    +
+
+

zFill

+
    + +
  • +

    Add leading "0" to a string until string length is reached. +If string is longer or equal to given length no modifications will be done

    +
    +
    +

    Parameters

    +
      +
    • +
      length: number
      +

      of the final string

      +
      +
    +

    Returns pl.Expr

    +
    +

    See

    padStart + *

    + +

    Example

    > df = pl.DataFrame({
    ...   'foo': [
    ...       "a",
    ...       "b",
    ...       "LONG_WORD",
    ...       "cow"
    ...   ]})
    > df.select(pl.col('foo').str.justify(3)
    shape: (4, 1)
    ┌──────────┐
    │ a        │
    │ -------- │
    │ str      │
    ╞══════════╡
    │ 00a      │
    ├╌╌╌╌╌╌╌╌╌╌┤
    │ 00b      │
    ├╌╌╌╌╌╌╌╌╌╌┤
    │ LONG_WORD│
    ├╌╌╌╌╌╌╌╌╌╌┤
    │ cow      │
    └──────────┘
+
    +
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/interfaces/StructNamespace.html b/interfaces/StructNamespace.html new file mode 100644 index 00000000..9692b4d9 --- /dev/null +++ b/interfaces/StructNamespace.html @@ -0,0 +1,194 @@ +StructNamespace | nodejs-polars
+
+ +
+
+
+
+ +

Interface StructNamespace

+
+

Struct functions

+
+
+
+

Hierarchy

+
    +
  • StructNamespace
+
+
+
+ +
+
+

Methods

+
field +renameFields +
+
+

Methods

+
+

field

+
+
+

renameFields

+
    + +
  • +

    Rename the fields of a struct

    +
    +
    +

    Parameters

    +
      +
    • +
      names: string[]
      +

      new names of the fields

      +
      +
    +

    Returns pl.Expr

    +
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/interfaces/When.html b/interfaces/When.html new file mode 100644 index 00000000..738e76df --- /dev/null +++ b/interfaces/When.html @@ -0,0 +1,166 @@ +When | nodejs-polars
+
+ +
+
+
+
+ +

Interface When

+
+

Hierarchy

+
    +
  • When
+
+
+
+ +
+
+

Methods

+
then +
+
+

Methods

+
+

then

+
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/interfaces/WhenThen.html b/interfaces/WhenThen.html new file mode 100644 index 00000000..4774da18 --- /dev/null +++ b/interfaces/WhenThen.html @@ -0,0 +1,184 @@ +WhenThen | nodejs-polars
+
+ +
+
+
+
+ +

Interface WhenThen

+
+

Hierarchy

+
    +
  • WhenThen
+
+
+
+ +
+
+

Methods

+
otherwise +when +
+
+

Methods

+
+

otherwise

+
+
+

when

+
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/interfaces/WhenThenThen.html b/interfaces/WhenThenThen.html new file mode 100644 index 00000000..38e84571 --- /dev/null +++ b/interfaces/WhenThenThen.html @@ -0,0 +1,202 @@ +WhenThenThen | nodejs-polars
+
+ +
+
+
+
+ +

Interface WhenThenThen

+
+

Hierarchy

+
    +
  • WhenThenThen
+
+
+
+ +
+
+

Methods

+
otherwise +then +when +
+
+

Methods

+
+

otherwise

+
+
+

then

+
+
+

when

+
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/interfaces/WriteAvroOptions.html b/interfaces/WriteAvroOptions.html new file mode 100644 index 00000000..1ef38ec4 --- /dev/null +++ b/interfaces/WriteAvroOptions.html @@ -0,0 +1,159 @@ +WriteAvroOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface WriteAvroOptions

+
+

Options for writing Avro files

+
+
+
+

Hierarchy

+
    +
  • WriteAvroOptions
+
+
+
+ +
+
+

Properties

+
compression? +
+
+

Properties

+
+

Optional compression

+
compression?: "uncompressed" | "snappy" | "deflate"
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/interfaces/WriteCsvOptions.html b/interfaces/WriteCsvOptions.html new file mode 100644 index 00000000..4391ed76 --- /dev/null +++ b/interfaces/WriteCsvOptions.html @@ -0,0 +1,166 @@ +WriteCsvOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface WriteCsvOptions

+
+

Options for DataFrame.writeCSV

+
+
+
+

Hierarchy

+
    +
  • WriteCsvOptions
+
+
+
+ +
+
+

Properties

+
hasHeader? +sep? +
+
+

Properties

+
+

Optional hasHeader

+
hasHeader?: boolean
+
+

Optional sep

+
sep?: string
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/interfaces/WriteIPCOptions.html b/interfaces/WriteIPCOptions.html new file mode 100644 index 00000000..82293d49 --- /dev/null +++ b/interfaces/WriteIPCOptions.html @@ -0,0 +1,159 @@ +WriteIPCOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface WriteIPCOptions

+
+

Options for DataFrame.writeIPC

+
+
+
+

Hierarchy

+
    +
  • WriteIPCOptions
+
+
+
+ +
+
+

Properties

+
compression? +
+
+

Properties

+
+

Optional compression

+
compression?: "uncompressed" | "lz4" | "zstd"
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/interfaces/WriteJsonOptions.html b/interfaces/WriteJsonOptions.html new file mode 100644 index 00000000..f51d41b4 --- /dev/null +++ b/interfaces/WriteJsonOptions.html @@ -0,0 +1,166 @@ +WriteJsonOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface WriteJsonOptions

+
+

Options for DataFrame.writeJSON

+
+
+
+

Hierarchy

+
    +
  • WriteJsonOptions
+
+
+
+ +
+
+

Properties

+
multiline? +orient? +
+
+

Properties

+
+

Optional multiline

+
multiline?: boolean
+
+

Optional orient

+
orient?: "row" | "col" | "dataframe"
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/interfaces/WriteParquetOptions.html b/interfaces/WriteParquetOptions.html new file mode 100644 index 00000000..e13631de --- /dev/null +++ b/interfaces/WriteParquetOptions.html @@ -0,0 +1,159 @@ +WriteParquetOptions | nodejs-polars
+
+ +
+
+
+
+ +

Interface WriteParquetOptions

+
+

Options for DataFrame.writeParquet

+
+
+
+

Hierarchy

+
    +
  • WriteParquetOptions
+
+
+
+ +
+
+

Properties

+
compression? +
+
+

Properties

+
+

Optional compression

+
compression?: "uncompressed" | "snappy" | "gzip" | "lzo" | "brotli" | "lz4" | "zstd"
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/interfaces/pl.Config.html b/interfaces/pl.Config.html new file mode 100644 index 00000000..6899eb6b --- /dev/null +++ b/interfaces/pl.Config.html @@ -0,0 +1,358 @@ +Config | nodejs-polars
+
+ +
+
+
+
+ +

Interface Config

+
+

Configure polars; offers options for table formatting and more.

+
+
+
+

Hierarchy

+
    +
  • Config
+
+
+
+ +
+
+

Methods

+
setAsciiTables +setGlobalStringCache +setTblCols +setTblRows +setTblWidthChars +setUtf8Tables +unsetGlobalStringCache +
+
+

Methods

+
+

setAsciiTables

+
    + +
  • +

    Use ascii characters to print tables

    +
    +

    Returns Config

    +
+
+

setGlobalStringCache

+
    + +
  • +

    Turn on the global string cache

    +
    +

    Returns Config

    +
+
+

setTblCols

+
    + +
  • +

    Set the number of columns used to print tables

    +
    +
    +

    Parameters

    +
      +
    • +
      n: number
    +

    Returns Config

    +
+
+

setTblRows

+
    + +
  • +

    Set the number of rows used to print tables

    +
    +
    +

    Parameters

    +
      +
    • +
      n: number
    +

    Returns Config

    +
+
+

setTblWidthChars

+
    + +
  • +

    Set the number of character used to draw the table

    +
    +
    +

    Parameters

    +
      +
    • +
      width: number
    +

    Returns Config

    +
+
+

setUtf8Tables

+
    + +
  • +

    Use utf8 characters to print tables

    +
    +

    Returns Config

    +
+
+

unsetGlobalStringCache

+
    + +
  • +

    Turn off the global string cache

    +
    +

    Returns Config

    +
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/interfaces/pl.DataFrame-1.html b/interfaces/pl.DataFrame-1.html new file mode 100644 index 00000000..6bd93174 --- /dev/null +++ b/interfaces/pl.DataFrame-1.html @@ -0,0 +1,3040 @@ +DataFrame | nodejs-polars
+
+ +
+
+
+
+ +

Interface DataFrame

+
+

A DataFrame is a two-dimensional data structure that represents data as a table +with rows and columns.

+
+
+

Param

Object, Array, or Series + Two-dimensional data in various forms. object must contain Arrays. + Array may contain Series or other Arrays.

+ +

Param

Array of str, default undefined + Column labels to use for resulting DataFrame. If specified, overrides any + labels already present in the data. Must match data dimensions.

+ +

Param

'col' | 'row' default undefined + Whether to interpret two-dimensional data as columns or as rows. If None, + the orientation is inferred by matching the columns and data dimensions. If + this does not yield conclusive results, column orientation is used.

+ +

Example

Constructing a DataFrame from an object :

+
> data = {'a': [1n, 2n], 'b': [3, 4]}
> df = pl.DataFrame(data)
> df
shape: (2, 2)
╭─────┬─────╮
│ a   ┆ b   │
│ --- ┆ --- │
│ u64 ┆ i64 │
╞═════╪═════╡
│ 1   ┆ 3   │
├╌╌╌╌╌┼╌╌╌╌╌┤
│ 2   ┆ 4   │
╰─────┴─────╯
+
+

Notice that the dtype is automatically inferred as a polars Int64:

+
> df.dtypes
['UInt64', `Int64']
+
+

In order to specify dtypes for your columns, initialize the DataFrame with a list +of Series instead:

+
> data = [pl.Series('col1', [1, 2], pl.Float32),
...         pl.Series('col2', [3, 4], pl.Int64)]
> df2 = pl.DataFrame(series)
> df2
shape: (2, 2)
╭──────┬──────╮
│ col1 ┆ col2 │
│ ---  ┆ ---  │
│ f32  ┆ i64  │
╞══════╪══════╡
│ 1    ┆ 3    │
├╌╌╌╌╌╌┼╌╌╌╌╌╌┤
│ 2    ┆ 4    │
╰──────┴──────╯
+
+

Constructing a DataFrame from a list of lists, row orientation inferred:

+
> data = [[1, 2, 3], [4, 5, 6]]
> df4 = pl.DataFrame(data, ['a', 'b', 'c'])
> df4
shape: (2, 3)
╭─────┬─────┬─────╮
│ a   ┆ b   ┆ c   │
│ --- ┆ --- ┆ --- │
│ i64 ┆ i64 ┆ i64 │
╞═════╪═════╪═════╡
│ 1   ┆ 2   ┆ 3   │
├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
│ 4   ┆ 5   ┆ 6   │
╰─────┴─────┴─────╯
+
+
+
+

Hierarchy

+
    +
  • Arithmetic<pl.DataFrame>
    • +
  • Sample<pl.DataFrame>
    • +
  • WriteMethods
    • +
  • Serialize
    • +
  • GroupByOps<RollingGroupBy> +
      +
    • DataFrame
+
+
+
+ +
+
+

Properties

+
dtypes +height +shape +width +
+
+

Accessors

+
columns +schema +
+
+

Methods - Arithmetic

+
add +div +divideBy +minus +modulo +mul +multiplyBy +plus +rem +sub +
+
+

Methods - Deprecated

+
toCSV +
+
+

Methods - IO

+
toJSON +toObject +toRecords +writeAvro +writeCSV +writeIPC +writeJSON +writeParquet +
+
+

Methods - IO Deprecated

+
toIPC +toParquet +
+
+

Methods - Math

+
sample +
+
+

Methods - Other

+
[inspect] +[iterator] +clone +describe +distinct +drop +dropNulls +explode +extend +fillNull +filter +findIdxByName +fold +frameEqual +getColumn +getColumns +groupBy +groupByDynamic +groupByRolling +hashRows +head +hstack +insertAtIdx +interpolate +isDuplicated +isEmpty +isUnique +join +joinAsof +lazy +limit +map +max +mean +median +melt +min +nChunks +nullCount +partitionBy +pivot +quantile +rechunk +rename +replaceAtIdx +row +rows +select +serialize +shift +shiftAndFill +shrinkToFit +slice +sort +std +sum +tail +toSeries +toString +toStruct +transpose +unique +unnest +var +vstack +where +withColumn +withColumnRenamed +withColumns +withRowCount +
+
+

Properties

+
+

dtypes

+
dtypes: DataType[]
+
+

height

+
height: number
+
+

shape

+
shape: {
    height: number;
    width: number;
}
+
+

Type declaration

+
    +
  • +
    height: number
    • +
  • +
    width: number
+
+

width

+
width: number
+
+

Accessors

+
+

columns

+
    +
  • get columns(): string[]
    • +
  • +

    Returns string[]

    • +
  • set columns(cols): void
    • +
  • +
    +

    Parameters

    +
      +
    • +
      cols: string[]
    +

    Returns void

+
+

schema

+
+
+

Methods - Arithmetic

+
+

add

+
+
+

div

+
+
+

divideBy

+
+
+

minus

+
+
+

modulo

+
+
+

mul

+
+
+

multiplyBy

+
+
+

plus

+
+
+

rem

+
+
+

sub

+
+
+

Methods - Deprecated

+
+

toCSV

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      Optional destOrOptions: any
      • +
    • +
      Optional options: any
    +

    Returns any

    +
    +

    Deprecated

    since 0.4.0 use writeCSV

    +
+
+

Methods - IO

+
+

toJSON

+
    + +
  • +

    compat with JSON.stringify

    +
    +

    Returns string

    +
+
+

toObject

+
    + +
  • +

    Converts dataframe object into column oriented javascript objects

    +
    +

    Returns Record<string, any[]>

    +
    +

    Example

    > df.toObject()
    {
     "foo": [1,2,3],
     "bar": ["a", "b", "c"]
    }
+
    +
+
+

toRecords

+
    + +
  • +

    Converts dataframe object into row oriented javascript objects

    +
    +

    Returns Record<string, any>[]

    +
    +

    Example

    > df.toRecords()
    [
      {"foo":1.0,"bar":"a"},
      {"foo":2.0,"bar":"b"},
      {"foo":3.0,"bar":"c"}
    ]
+
    +
+
+

writeAvro

+
    + +
  • +

    Write the DataFrame disk in avro format.

    +
    +
    +

    Parameters

    +
    +

    Returns Buffer

    +
    • + +
  • +
    +

    Parameters

    +
    +

    Returns void

+
+

writeCSV

+
    + +
  • +

    Write DataFrame to comma-separated values file (csv).

    +

    If no options are specified, it will return a new string containing the contents

    +
    +
    +

    Returns Buffer

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6, 7, 8],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > df.writeCSV()
    foo,bar,ham
    1,6,a
    2,7,b
    3,8,c

    // using a file path
    > df.head(1).writeCSV("./foo.csv")
    // foo.csv
    foo,bar,ham
    1,6,a

    // using a write stream
    > const writeStream = new Stream.Writable({
    ...   write(chunk, encoding, callback) {
    ...     console.log("writeStream: %O', chunk.toString());
    ...     callback(null);
    ...   }
    ... });
    > df.head(1).writeCSV(writeStream, {hasHeader: false})
    writeStream: '1,6,a'
+
    +
    • + +
  • +
    +

    Parameters

    +
    +

    Returns Buffer

    • + +
  • +
    +

    Parameters

    +
    +

    Returns void

+
+

writeIPC

+
    + +
  • +

    Write to Arrow IPC binary stream, or a feather file.

    +
    +
    +

    Parameters

    +
    +

    Returns Buffer

    +
    • + +
  • +
    +

    Parameters

    +
    +

    Returns void

+
+

writeJSON

+
    + +
  • +

    Write Dataframe to JSON string, file, or write stream

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional options: {
          format: "json" | "lines";
      }
      +
      +
        +
      • +
        format: "json" | "lines"
        +

        json | lines

        +
        +
    +

    Returns Buffer

    +
    +

    Example

    > const df = pl.DataFrame({
    ...   foo: [1,2,3],
    ...   bar: ['a','b','c']
    ... })


    > df.writeJSON({format:"json"})
    `[ {"foo":1.0,"bar":"a"}, {"foo":2.0,"bar":"b"}, {"foo":3.0,"bar":"c"}]`

    > df.writeJSON({format:"lines"})
    `{"foo":1.0,"bar":"a"}
    {"foo":2.0,"bar":"b"}
    {"foo":3.0,"bar":"c"}`

    // writing to a file
    > df.writeJSON("/path/to/file.json", {format:'lines'})
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      destination: string | Writable
      • +
    • +
      Optional options: {
          format: "json" | "lines";
      }
      +
        +
      • +
        format: "json" | "lines"
    +

    Returns void

+
+

writeParquet

+
    + +
  • +

    Write the DataFrame disk in parquet format.

    +
    +
    +

    Parameters

    +
    +

    Returns Buffer

    +
    • + +
  • +
    +

    Parameters

    +
    +

    Returns void

+
+

Methods - IO Deprecated

+
+

toIPC

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      Optional destination: any
      • +
    • +
      Optional options: any
    +

    Returns any

    +
    +

    Deprecated

    since 0.4.0 use writeIPC

    +
+
+

toParquet

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      Optional destination: any
      • +
    • +
      Optional options: any
    +

    Returns any

    +
    +

    Deprecated

    since 0.4.0 use writeParquet

    +
+
+

Methods - Math

+
+

sample

+
    + +
  • +

    Sample from this DataFrame by setting either n or frac.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional opts: {
          n: number;
          seed?: number | bigint;
          withReplacement?: boolean;
      }
      +
        +
      • +
        n: number
        • +
      • +
        Optional seed?: number | bigint
        • +
      • +
        Optional withReplacement?: boolean
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    >   "foo": [1, 2, 3],
    >   "bar": [6, 7, 8],
    >   "ham": ['a', 'b', 'c']
    > })
    > df.sample({n: 2})
    shape: (2, 3)
    ╭─────┬─────┬─────╮
    │ foo ┆ bar ┆ ham │
    │ --- ┆ --- ┆ --- │
    │ i64 ┆ i64 ┆ str │
    ╞═════╪═════╪═════╡
    │ 1   ┆ 6   ┆ "a" │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 3   ┆ 8   ┆ "c" │
    ╰─────┴─────┴─────╯
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      Optional opts: {
          frac: number;
          seed?: number | bigint;
          withReplacement?: boolean;
      }
      +
        +
      • +
        frac: number
        • +
      • +
        Optional seed?: number | bigint
        • +
      • +
        Optional withReplacement?: boolean
    +

    Returns pl.DataFrame

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      Optional n: number
      • +
    • +
      Optional frac: number
      • +
    • +
      Optional withReplacement: boolean
      • +
    • +
      Optional seed: number | bigint
    +

    Returns pl.DataFrame

+
+

Methods - Other

+
+

[inspect]

+
+
+

[iterator]

+
    +
  • [iterator](): Generator<any, void, any>
    • +
  • +

    Returns Generator<any, void, any>

+
+

clone

+
+
+

describe

+
    + +
  • +

    Summary statistics for a DataFrame.

    +

    Only summarizes numeric datatypes at the moment and returns nulls for non numeric datatypes.

    +
    +

    Example

    +
    >  df = pl.DataFrame({
    ...      'a': [1.0, 2.8, 3.0],
    ...      'b': [4, 5, 6],
    ...      "c": [True, False, True]
    ...      })
    ...  df.describe()
    shape: (5, 4)
    ╭──────────┬───────┬─────┬──────╮
    │ describe ┆ a     ┆ b   ┆ c    │
    │ ---      ┆ ---   ┆ --- ┆ ---  │
    │ str      ┆ f64   ┆ f64 ┆ f64  │
    ╞══════════╪═══════╪═════╪══════╡
    │ "mean"   ┆ 2.267 ┆ 5   ┆ null │
    ├╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌┤
    │ "std"    ┆ 1.102 ┆ 1   ┆ null │
    ├╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌┤
    │ "min"    ┆ 1     ┆ 4   ┆ 0.0  │
    ├╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌┤
    │ "max"    ┆ 3     ┆ 6   ┆ 1    │
    ├╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌┤
    │ "median" ┆ 2.8   ┆ 5   ┆ null │
    ╰──────────┴───────┴─────┴──────╯
+
    +
    +

    Returns pl.DataFrame

    +
+
+

distinct

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      Optional maintainOrder: any
      • +
    • +
      Optional subset: any
      • +
    • +
      Optional keep: any
    +

    Returns pl.DataFrame

    +
    +

    Deprecated

    since 0.4.0 use unique

    +
+
+

drop

+
    + +
  • +

    Remove column from DataFrame and return as new.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      name: string
      +
    +

    Returns pl.DataFrame

    +
    +

    Example

    >  df = pl.DataFrame({
    ...    "foo": [1, 2, 3],
    ...    "bar": [6.0, 7.0, 8.0],
    ...    "ham": ['a', 'b', 'c'],
    ...    "apple": ['a', 'b', 'c']
    ...  })
    >  df.drop(['ham', 'apple'])
    shape: (3, 2)
    ╭─────┬─────╮
    │ foo ┆ bar │
    │ --- ┆ --- │
    │ i64 ┆ f64 │
    ╞═════╪═════╡
    │ 1   ┆ 6   │
    ├╌╌╌╌╌┼╌╌╌╌╌┤
    │ 2   ┆ 7   │
    ├╌╌╌╌╌┼╌╌╌╌╌┤
    │ 3   ┆ 8   │
    ╰─────┴─────╯
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      names: string[]
    +

    Returns pl.DataFrame

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      name: string
      • +
    • +
      Rest ...names: string[]
    +

    Returns pl.DataFrame

+
+

dropNulls

+
    + +
  • +

    Return a new DataFrame where the null values are dropped.

    +

    This method only drops nulls row-wise if any single value of the row is null.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      column: string
    +

    Returns pl.DataFrame

    +
    +

    Example

    >  df = pl.DataFrame({
    ...    "foo": [1, 2, 3],
    ...    "bar": [6, null, 8],
    ...    "ham": ['a', 'b', 'c']
    ...  })
    >  df.dropNulls()
    shape: (2, 3)
    ┌─────┬─────┬─────┐
    │ foo ┆ bar ┆ ham │
    │ --- ┆ --- ┆ --- │
    │ i64 ┆ i64 ┆ str │
    ╞═════╪═════╪═════╡
    │ 1   ┆ 6   ┆ "a" │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 3   ┆ 8   ┆ "c" │
    └─────┴─────┴─────┘
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      columns: string[]
    +

    Returns pl.DataFrame

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      Rest ...columns: string[]
    +

    Returns pl.DataFrame

+
+

explode

+
    + +
  • +

    Explode DataFrame to long format by exploding a column with Lists.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      column: ExprOrString
    +

    Returns pl.DataFrame

    +
    +

    Example

    >  df = pl.DataFrame({
    ...    "letters": ["c", "c", "a", "c", "a", "b"],
    ...    "nrs": [[1, 2], [1, 3], [4, 3], [5, 5, 5], [6], [2, 1, 2]]
    ...  })
    >  df
    shape: (6, 2)
    ╭─────────┬────────────╮
    │ letters ┆ nrs        │
    │ ---     ┆ ---        │
    │ str     ┆ list [i64] │
    ╞═════════╪════════════╡
    │ "c"     ┆ [1, 2]     │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ "c"     ┆ [1, 3]     │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ "a"     ┆ [4, 3]     │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ "c"     ┆ [5, 5, 5]  │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ "a"     ┆ [6]        │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ "b"     ┆ [2, 1, 2]  │
    ╰─────────┴────────────╯
    >  df.explode("nrs")
    shape: (13, 2)
    ╭─────────┬─────╮
    │ letters ┆ nrs │
    │ ---     ┆ --- │
    │ str     ┆ i64 │
    ╞═════════╪═════╡
    │ "c"     ┆ 1   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "c"     ┆ 2   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "c"     ┆ 1   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "c"     ┆ 3   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ ...     ┆ ... │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "c"     ┆ 5   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "a"     ┆ 6   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "b"     ┆ 2   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "b"     ┆ 1   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "b"     ┆ 2   │
    ╰─────────┴─────╯
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      columns: ExprOrString[]
    +

    Returns pl.DataFrame

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      column: ExprOrString
      • +
    • +
      Rest ...columns: ExprOrString[]
    +

    Returns pl.DataFrame

+
+

extend

+
    + +
  • +

    Extend the memory backed by this DataFrame with the values from other.

    +
    +

    Different from vstack which adds the chunks from other to the chunks of this DataFrame + extent appends the data from other to the underlying memory locations and thus may cause a reallocation.

    +

    If this does not cause a reallocation, the resulting data structure will not have any extra chunks + and thus will yield faster queries.

    +

    Prefer extend over vstack when you want to do a query after a single append. For instance during + online operations where you add n rows and rerun a query.

    +

    Prefer vstack over extend when you want to append many times before doing a query. For instance + when you read in multiple files and when to store them in a single DataFrame. + In the latter case, finish the sequence of vstack operations with a rechunk.

    +
    +
    +

    Parameters

    +
      +
    • +
      other: pl.DataFrame
      +

      DataFrame to vertically add.

      +
      +
    +

    Returns pl.DataFrame

    +
+
+

fillNull

+
    + +
  • +

    Fill null/missing values by a filling strategy

    +
    +
    +

    Parameters

    +
      +
    • +
      strategy: FillNullStrategy
      +

      One of:

      +
        +
      • "backward"
        • +
      • "forward"
        • +
      • "mean"
        • +
      • "min'
        • +
      • "max"
        • +
      • "zero"
        • +
      • "one"
        • +
      +
      +
    +

    Returns pl.DataFrame

    DataFrame with None replaced with the filling strategy.

    + +
+
+

filter

+
    + +
  • +

    Filter the rows in the DataFrame based on a predicate expression.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      predicate: any
      +

      Expression that evaluates to a boolean Series.

      +
      +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6, 7, 8],
    ...   "ham": ['a', 'b', 'c']
    ... })
    // Filter on one condition
    > df.filter(pl.col("foo").lt(3))
    shape: (2, 3)
    ┌─────┬─────┬─────┐
    │ foo ┆ bar ┆ ham │
    │ --- ┆ --- ┆ --- │
    │ i64 ┆ i64 ┆ str │
    ╞═════╪═════╪═════╡
    │ 1   ┆ 6   ┆ a   │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 2   ┆ 7   ┆ b   │
    └─────┴─────┴─────┘
    // Filter on multiple conditions
    > df.filter(
    ... pl.col("foo").lt(3)
    ...   .and(pl.col("ham").eq("a"))
    ... )
    shape: (1, 3)
    ┌─────┬─────┬─────┐
    │ foo ┆ bar ┆ ham │
    │ --- ┆ --- ┆ --- │
    │ i64 ┆ i64 ┆ str │
    ╞═════╪═════╪═════╡
    │ 1   ┆ 6   ┆ a   │
    └─────┴─────┴─────┘
+
    +
+
+

findIdxByName

+
    + +
  • +

    Find the index of a column by name.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      name: string
      +

      Name of the column to find.

      +
      +
    +

    Returns number

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6, 7, 8],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > df.findIdxByName("ham"))
    2
+
    +
+
+

fold

+
    + +
  • +

    Apply a horizontal reduction on a DataFrame.

    +

    This can be used to effectively determine aggregations on a row level, +and can be applied to any DataType that can be supercasted (casted to a similar parent type).

    +

    An example of the supercast rules when applying an arithmetic operation on two DataTypes are for instance:

    +
      +
    • Int8 + Utf8 = Utf8
      • +
    • Float32 + Int64 = Float32
      • +
    • Float32 + Float64 = Float64
      • +
    +
    +
    +
    +

    Parameters

    +
    +

    Returns pl.Series

    Series

    + +
    +

    Example

    > // A horizontal sum operation
    > df = pl.DataFrame({
    ...   "a": [2, 1, 3],
    ...   "b": [1, 2, 3],
    ...   "c": [1.0, 2.0, 3.0]
    ... })
    > df.fold((s1, s2) => s1.plus(s2))
    Series: 'a' [f64]
    [
        4
        5
        9
    ]
    > // A horizontal minimum operation
    > df = pl.DataFrame({
    ...   "a": [2, 1, 3],
    ...   "b": [1, 2, 3],
    ...   "c": [1.0, 2.0, 3.0]
    ... })
    > df.fold((s1, s2) => s1.zipWith(s1.lt(s2), s2))
    Series: 'a' [f64]
    [
        1
        1
        3
    ]
    > // A horizontal string concatenation
    > df = pl.DataFrame({
    ...   "a": ["foo", "bar", 2],
    ...   "b": [1, 2, 3],
    ...   "c": [1.0, 2.0, 3.0]
    ... })
    > df.fold((s1, s2) => s.plus(s2))
    Series: '' [f64]
    [
        "foo11"
        "bar22
        "233"
    ]
+
    +
+
+

frameEqual

+
    + +
  • +

    Check if DataFrame is equal to other.

    +
    +
    +
    +

    Parameters

    +
    +

    Returns boolean

    +
    +

    Example

    > df1 = pl.DataFrame({
    ...    "foo": [1, 2, 3],
    ...    "bar": [6.0, 7.0, 8.0],
    ...    "ham": ['a', 'b', 'c']
    ... })
    > df2 = pl.DataFrame({
    ...   "foo": [3, 2, 1],
    ...   "bar": [8.0, 7.0, 6.0],
    ...   "ham": ['c', 'b', 'a']
    ... })
    > df1.frameEqual(df1)
    true
    > df1.frameEqual(df2)
    false
+
    +
    • + +
  • +
    +

    Parameters

    +
    +

    Returns boolean

+
+

getColumn

+
+
+

getColumns

+
+
+

groupBy

+
    + +
  • +

    Start a groupby operation.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Rest ...by: ColumnSelection[]
      +

      Column(s) to group by.

      +
      +
    +

    Returns GroupBy

    +
+
+

groupByDynamic

+
    + +
  • +

    Groups based on a time value (or index value of type Int32, Int64). Time windows are calculated and rows are assigned to windows. +Different from a normal groupby is that a row can be member of multiple groups. The time/index window could +be seen as a rolling window, with a window size determined by dates/times/values instead of slots in the DataFrame.

    +

    A window is defined by:

    +
      +
    • every: interval of the window
      • +
    • period: length of the window
      • +
    • offset: offset of the window
      • +
    +

    The every, period and offset arguments are created with +the following string language:

    +
      +
    • 1ns (1 nanosecond)
      • +
    • 1us (1 microsecond)
      • +
    • 1ms (1 millisecond)
      • +
    • 1s (1 second)
      • +
    • 1m (1 minute)
      • +
    • 1h (1 hour)
      • +
    • 1d (1 day)
      • +
    • 1w (1 week)
      • +
    • 1mo (1 calendar month)
      • +
    • 1y (1 calendar year)
      • +
    • 1i (1 index count)
      • +
    +

    Or combine them: +"3d12h4m25s" # 3 days, 12 hours, 4 minutes, and 25 seconds

    +

    In case of a groupbyDynamic on an integer column, the windows are defined by:

    +
      +
    • "1i" # length 1
      • +
    • "10i" # length 10
      • +
    +

    Parameters

    +
    +

    Parameters

    +
      +
    • +
      options: {
          by?: ColumnsOrExpr;
          check_sorted?: boolean;
          closed?: "none" | "left" | "right" | "both";
          every: string;
          includeBoundaries?: boolean;
          indexColumn: string;
          offset?: string;
          period?: string;
          start_by: StartBy;
          truncate?: boolean;
      }
      +
        +
      • +
        Optional by?: ColumnsOrExpr
        • +
      • +
        Optional check_sorted?: boolean
        • +
      • +
        Optional closed?: "none" | "left" | "right" | "both"
        • +
      • +
        every: string
        • +
      • +
        Optional includeBoundaries?: boolean
        • +
      • +
        indexColumn: string
        • +
      • +
        Optional offset?: string
        • +
      • +
        Optional period?: string
        • +
      • +
        start_by: StartBy
        • +
      • +
        Optional truncate?: boolean
    +

    Returns RollingGroupBy

    +
+
+

groupByRolling

+
    + +
  • +

    Create rolling groups based on a time column (or index value of type Int32, Int64).

    +

    Different from a rolling groupby the windows are now determined by the individual values and are not of constant +intervals. For constant intervals use groupByDynamic

    +

    The period and offset arguments are created with +the following string language:

    +
      +
    • 1ns (1 nanosecond)
      • +
    • 1us (1 microsecond)
      • +
    • 1ms (1 millisecond)
      • +
    • 1s (1 second)
      • +
    • 1m (1 minute)
      • +
    • 1h (1 hour)
      • +
    • 1d (1 day)
      • +
    • 1w (1 week)
      • +
    • 1mo (1 calendar month)
      • +
    • 1y (1 calendar year)
      • +
    • 1i (1 index count)
      • +
    +

    Or combine them: +"3d12h4m25s" # 3 days, 12 hours, 4 minutes, and 25 seconds

    +

    In case of a groupby_rolling on an integer column, the windows are defined by:

    +
      +
    • "1i" # length 1
      • +
    • "10i" # length 10
      • +
    +
    +
    +

    Parameters

    +
      +
    • +
      opts: {
          by?: ColumnsOrExpr;
          check_sorted?: boolean;
          closed?: "none" | "left" | "right" | "both";
          indexColumn: ColumnsOrExpr;
          offset?: string;
          period: string;
      }
      +
        +
      • +
        Optional by?: ColumnsOrExpr
        • +
      • +
        Optional check_sorted?: boolean
        • +
      • +
        Optional closed?: "none" | "left" | "right" | "both"
        • +
      • +
        indexColumn: ColumnsOrExpr
        • +
      • +
        Optional offset?: string
        • +
      • +
        period: string
    +

    Returns RollingGroupBy

    +
    +

    Example


    >dates = [
    ...     "2020-01-01 13:45:48",
    ...     "2020-01-01 16:42:13",
    ...     "2020-01-01 16:45:09",
    ...     "2020-01-02 18:12:48",
    ...     "2020-01-03 19:45:32",
    ...     "2020-01-08 23:16:43",
    ... ]
    >df = pl.DataFrame({"dt": dates, "a": [3, 7, 5, 9, 2, 1]}).withColumn(
    ...     pl.col("dt").str.strptime(pl.Datetime)
    ... )
    >out = df.groupbyRolling({indexColumn:"dt", period:"2d"}).agg(
    ...     [
    ...         pl.sum("a").alias("sum_a"),
    ...         pl.min("a").alias("min_a"),
    ...         pl.max("a").alias("max_a"),
    ...     ]
    ... )
    >assert(out["sum_a"].toArray() === [3, 10, 15, 24, 11, 1])
    >assert(out["max_a"].toArray() === [3, 7, 7, 9, 9, 1])
    >assert(out["min_a"].toArray() === [3, 3, 3, 3, 2, 1])
    >out
    shape: (6, 4)
    ┌─────────────────────┬───────┬───────┬───────┐
    │ dt                  ┆ a_sum ┆ a_max ┆ a_min │
    │ ---                 ┆ ---   ┆ ---   ┆ ---   │
    │ datetime[ms]        ┆ i64   ┆ i64   ┆ i64   │
    ╞═════════════════════╪═══════╪═══════╪═══════╡
    │ 2020-01-01 13:45:48 ┆ 3     ┆ 3     ┆ 3     │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 2020-01-01 16:42:13 ┆ 10    ┆ 7     ┆ 3     │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 2020-01-01 16:45:09 ┆ 15    ┆ 7     ┆ 3     │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 2020-01-02 18:12:48 ┆ 24    ┆ 9     ┆ 3     │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 2020-01-03 19:45:32 ┆ 11    ┆ 9     ┆ 2     │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 2020-01-08 23:16:43 ┆ 1     ┆ 1     ┆ 1     │
    └─────────────────────┴───────┴───────┴───────┘
+
    +
+
+

hashRows

+
    + +
  • +

    Hash and combine the rows in this DataFrame. (Hash value is UInt64)

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional k0: number
      +

      seed parameter

      +
      +
      • +
    • +
      Optional k1: number
      +

      seed parameter

      +
      +
      • +
    • +
      Optional k2: number
      +

      seed parameter

      +
      +
      • +
    • +
      Optional k3: number
      +

      seed parameter

      +
      +
    +

    Returns pl.Series

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      options: {
          k0?: number;
          k1?: number;
          k2?: number;
          k3?: number;
      }
      +
        +
      • +
        Optional k0?: number
        • +
      • +
        Optional k1?: number
        • +
      • +
        Optional k2?: number
        • +
      • +
        Optional k3?: number
    +

    Returns pl.Series

+
+

head

+
    + +
  • +

    Get first N rows as DataFrame.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional length: number
      +

      Length of the head.

      +
      +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3, 4, 5],
    ...   "bar": [6, 7, 8, 9, 10],
    ...   "ham": ['a', 'b', 'c', 'd','e']
    ... })
    > df.head(3)
    shape: (3, 3)
    ╭─────┬─────┬─────╮
    │ foo ┆ bar ┆ ham │
    │ --- ┆ --- ┆ --- │
    │ i64 ┆ i64 ┆ str │
    ╞═════╪═════╪═════╡
    │ 1   ┆ 6   ┆ "a" │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 2   ┆ 7   ┆ "b" │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 3   ┆ 8   ┆ "c" │
    ╰─────┴─────┴─────╯
+
    +
+
+

hstack

+
    + +
  • +

    Return a new DataFrame grown horizontally by stacking multiple Series to it.

    +
    +
    +

    Parameters

    +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6, 7, 8],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > x = pl.Series("apple", [10, 20, 30])
    > df.hStack([x])
    shape: (3, 4)
    ╭─────┬─────┬─────┬───────╮
    │ foo ┆ bar ┆ ham ┆ apple │
    │ --- ┆ --- ┆ --- ┆ ---   │
    │ i64 ┆ i64 ┆ str ┆ i64   │
    ╞═════╪═════╪═════╪═══════╡
    │ 1   ┆ 6   ┆ "a" ┆ 10    │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 2   ┆ 7   ┆ "b" ┆ 20    │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 3   ┆ 8   ┆ "c" ┆ 30    │
    ╰─────┴─────┴─────┴───────╯
+
    +
    • + +
  • +
    +

    Parameters

    +
    +

    Returns void

+
+

insertAtIdx

+
    + +
  • +

    Insert a Series at a certain column index. This operation is in place.

    +
    +
    +

    Parameters

    +
      +
    • +
      index: number
      +

      Column position to insert the new Series column.

      +
      +
      • +
    • +
      series: pl.Series
      +

      Series to insert

      +
      +
    +

    Returns void

    +
+
+

interpolate

+
+
+

isDuplicated

+
+
+

isEmpty

+
    + +
  • +

    Check if the dataframe is empty

    +
    +

    Returns boolean

    +
+
+

isUnique

+
+
+

join

+
    + +
  • +

    SQL like joins.

    +
    +
    +

    Parameters

    +
      +
    • +
      other: pl.DataFrame
      • +
    • +
      options: {
          on: ValueOrArray<string>;
      } & Omit<JoinOptions, "leftOn" | "rightOn">
      +
    +

    Returns pl.DataFrame

    +
    +

    See

    JoinOptions

    + +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6.0, 7.0, 8.0],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > otherDF = pl.DataFrame({
    ...   "apple": ['x', 'y', 'z'],
    ...   "ham": ['a', 'b', 'd']
    ... })
    > df.join(otherDF, {on: 'ham'})
    shape: (2, 4)
    ╭─────┬─────┬─────┬───────╮
    │ foo ┆ bar ┆ ham ┆ apple │
    │ --- ┆ --- ┆ --- ┆ ---   │
    │ i64 ┆ f64 ┆ str ┆ str   │
    ╞═════╪═════╪═════╪═══════╡
    │ 1   ┆ 6   ┆ "a" ┆ "x"   │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 2   ┆ 7   ┆ "b" ┆ "y"   │
    ╰─────┴─────┴─────┴───────╯
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      other: pl.DataFrame
      • +
    • +
      options: {
          leftOn: ValueOrArray<string>;
          rightOn: ValueOrArray<string>;
      } & Omit<JoinOptions, "on">
    +

    Returns pl.DataFrame

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      other: pl.DataFrame
      • +
    • +
      options: {
          how: "cross";
          suffix?: string;
      }
      +
        +
      • +
        how: "cross"
        • +
      • +
        Optional suffix?: string
    +

    Returns pl.DataFrame

+
+

joinAsof

+
    + +
  • +

    Perform an asof join. This is similar to a left-join except that we +match on nearest key rather than equal keys.

    +

    Both DataFrames must be sorted by the asofJoin key.

    +

    For each row in the left DataFrame:

    +
      +

    • A "backward" search selects the last row in the right DataFrame whose +'on' key is less than or equal to the left's key.

      +
      • +

    • A "forward" search selects the first row in the right DataFrame whose +'on' key is greater than or equal to the left's key.

      +
      • +
    +

    The default is "backward".

    +
    +
    +

    Parameters

    +
      +
    • +
      other: pl.DataFrame
      +

      DataFrame to join with.

      +
      +
      • +
    • +
      options: {
          allowParallel?: boolean;
          by?: string | string[];
          byLeft?: string | string[];
          byRight?: string | string[];
          forceParallel?: boolean;
          leftOn?: string;
          on?: string;
          rightOn?: string;
          strategy?: "backward" | "forward";
          suffix?: string;
          tolerance?: string | number;
      }
      +
        +
      • +
        Optional allowParallel?: boolean
        +

        Allow the physical plan to optionally evaluate the computation of both DataFrames up to the join in parallel.

        +
        +
        • +
      • +
        Optional by?: string | string[]
        • +
      • +
        Optional byLeft?: string | string[]
        +

        join on these columns before doing asof join

        +
        +
        • +
      • +
        Optional byRight?: string | string[]
        +

        join on these columns before doing asof join

        +
        +
        • +
      • +
        Optional forceParallel?: boolean
        +

        Force the physical plan to evaluate the computation of both DataFrames up to the join in parallel.

        +
        +
        • +
      • +
        Optional leftOn?: string
        +

        Join column of the left DataFrame.

        +
        +
        • +
      • +
        Optional on?: string
        +

        Join column of both DataFrames. If set, leftOn and rightOn should be undefined.

        +
        +
        • +
      • +
        Optional rightOn?: string
        +

        Join column of the right DataFrame.

        +
        +
        • +
      • +
        Optional strategy?: "backward" | "forward"
        +

        One of 'forward', 'backward'

        +
        +
        • +
      • +
        Optional suffix?: string
        +

        Suffix to append to columns with a duplicate name.

        +
        +
        • +
      • +
        Optional tolerance?: string | number
        +

        Numeric tolerance. By setting this the join will only be done if the near keys are within this distance. + If an asof join is done on columns of dtype "Date", "Datetime" you + use the following string language:

        +
          +
        • 1ns (1 nanosecond)
          • +
        • 1us (1 microsecond)
          • +
        • 1ms (1 millisecond)
          • +
        • 1s (1 second)
          • +
        • 1m (1 minute)
          • +
        • 1h (1 hour)
          • +
        • 1d (1 day)
          • +
        • 1w (1 week)
          • +
        • 1mo (1 calendar month)
          • +
        • 1y (1 calendar year)
          • +
        • 1i (1 index count)
          • +
        +

        Or combine them:

        +
          +
        • "3d12h4m25s" # 3 days, 12 hours, 4 minutes, and 25 seconds
          • +
        +
        +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > const gdp = pl.DataFrame({
    ...   date: [
    ...     new Date('2016-01-01'),
    ...     new Date('2017-01-01'),
    ...     new Date('2018-01-01'),
    ...     new Date('2019-01-01'),
    ...   ],  // note record date: Jan 1st (sorted!)
    ...   gdp: [4164, 4411, 4566, 4696],
    ... })
    > const population = pl.DataFrame({
    ...   date: [
    ...     new Date('2016-05-12'),
    ...     new Date('2017-05-12'),
    ...     new Date('2018-05-12'),
    ...     new Date('2019-05-12'),
    ...   ],  // note record date: May 12th (sorted!)
    ...   "population": [82.19, 82.66, 83.12, 83.52],
    ... })
    > population.joinAsof(
    ...   gdp,
    ...   {leftOn:"date", rightOn:"date", strategy:"backward"}
    ... )
      shape: (4, 3)
      ┌─────────────────────┬────────────┬──────┐
      │ date                ┆ population ┆ gdp  │
      │ ---                 ┆ ---        ┆ ---  │
      │ datetime[μs]        ┆ f64        ┆ i64  │
      ╞═════════════════════╪════════════╪══════╡
      │ 2016-05-12 00:00:00 ┆ 82.19      ┆ 4164 │
      ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌┤
      │ 2017-05-12 00:00:00 ┆ 82.66      ┆ 4411 │
      ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌┤
      │ 2018-05-12 00:00:00 ┆ 83.12      ┆ 4566 │
      ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌┤
      │ 2019-05-12 00:00:00 ┆ 83.52      ┆ 4696 │
      └─────────────────────┴────────────┴──────┘
+
    +
+
+

lazy

+
+
+

limit

+
+
+

map

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      func: ((...args) => any)
      +
        +
      • +
          +
        • (...args): any
          • +
        • +
          +

          Parameters

          +
            +
          • +
            Rest ...args: any[]
          +

          Returns any

    +

    Returns any[]

+
+

max

+
    + +
  • +

    Aggregate the columns of this DataFrame to their maximum value.

    +
    +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6, 7, 8],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > df.max()
    shape: (1, 3)
    ╭─────┬─────┬──────╮
    │ foo ┆ bar ┆ ham  │
    │ --- ┆ --- ┆ ---  │
    │ i64 ┆ i64 ┆ str  │
    ╞═════╪═════╪══════╡
    │ 3   ┆ 8   ┆ null │
    ╰─────┴─────┴──────╯
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      axis: 0
    +

    Returns pl.DataFrame

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      axis: 1
    +

    Returns pl.Series

+
+

mean

+
+
+

median

+
    + +
  • +

    Aggregate the columns of this DataFrame to their median value.

    +
    +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6, 7, 8],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > df.median()
    shape: (1, 3)
    ╭─────┬─────┬──────╮
    │ foo ┆ bar ┆ ham  │
    │ --- ┆ --- ┆ ---  │
    │ f64 ┆ f64 ┆ str  │
    ╞═════╪═════╪══════╡
    │ 2   ┆ 7   ┆ null │
    ╰─────┴─────┴──────╯
+
    +
+
+

melt

+
    + +
  • +

    Unpivot DataFrame to long format.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      idVars: ColumnSelection
      +

      Columns to use as identifier variables.

      +
      +
      • +
    • +
      valueVars: ColumnSelection
      +

      Values to use as value variables.

      +
      +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df1 = pl.DataFrame({
    ...   'id': [1],
    ...   'asset_key_1': ['123'],
    ...   'asset_key_2': ['456'],
    ...   'asset_key_3': ['abc'],
    ... })
    > df1.melt('id', ['asset_key_1', 'asset_key_2', 'asset_key_3'])
    shape: (3, 3)
    ┌─────┬─────────────┬───────┐
    │ id  ┆ variable    ┆ value │
    │ --- ┆ ---         ┆ ---   │
    │ f64 ┆ str         ┆ str   │
    ╞═════╪═════════════╪═══════╡
    │ 1   ┆ asset_key_1 ┆ 123   │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 1   ┆ asset_key_2 ┆ 456   │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 1   ┆ asset_key_3 ┆ abc   │
    └─────┴─────────────┴───────┘
+
    +
+
+

min

+
    + +
  • +

    Aggregate the columns of this DataFrame to their minimum value.

    +
    +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6, 7, 8],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > df.min()
    shape: (1, 3)
    ╭─────┬─────┬──────╮
    │ foo ┆ bar ┆ ham  │
    │ --- ┆ --- ┆ ---  │
    │ i64 ┆ i64 ┆ str  │
    ╞═════╪═════╪══════╡
    │ 1   ┆ 6   ┆ null │
    ╰─────┴─────┴──────╯
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      axis: 0
    +

    Returns pl.DataFrame

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      axis: 1
    +

    Returns pl.Series

+
+

nChunks

+
    + +
  • +

    Get number of chunks used by the ChunkedArrays of this DataFrame.

    +
    +

    Returns number

    +
+
+

nullCount

+
    + +
  • +

    Create a new DataFrame that shows the null counts per column.

    +
    +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, null, 3],
    ...   "bar": [6, 7, null],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > df.nullCount()
    shape: (1, 3)
    ┌─────┬─────┬─────┐
    │ foo ┆ bar ┆ ham │
    │ --- ┆ --- ┆ --- │
    │ u32 ┆ u32 ┆ u32 │
    ╞═════╪═════╪═════╡
    │ 1   ┆ 1   ┆ 0   │
    └─────┴─────┴─────┘
+
    +
+
+

partitionBy

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      cols: string | string[]
      • +
    • +
      Optional stable: boolean
      • +
    • +
      Optional includeKey: boolean
    +

    Returns pl.DataFrame[]

    • + +
  • +
    +

    Type Parameters

    +
      +
    • +

      T

    +
    +

    Parameters

    +
      +
    • +
      cols: string | string[]
      • +
    • +
      stable: boolean
      • +
    • +
      includeKey: boolean
      • +
    • +
      mapFn: ((df) => T)
      +
        +
      • +
          +
        • (df): T
          • +
        • +
          +

          Parameters

          +
          +

          Returns T

    +

    Returns T[]

+
+

pivot

+
    + +
  • +

    Create a spreadsheet-style pivot table as a DataFrame.

    +
    +
    +

    Parameters

    +
      +
    • +
      values: string | string[]
      +

      Column values to aggregate. Can be multiple columns if the columns arguments contains multiple columns as well

      +
      +
      • +
    • +
      options: {
          aggregateFunc?: "mean" | "min" | "max" | pl.Expr | "sum" | "median" | "count" | "first" | "last";
          columns: string | string[];
          index: string | string[];
          maintainOrder?: boolean;
          sortColumns?: boolean;
      }
      +
        +
      • +
        Optional aggregateFunc?: "mean" | "min" | "max" | pl.Expr | "sum" | "median" | "count" | "first" | "last"
        +

        Any of: + - "sum" + - "max" + - "min" + - "mean" + - "median" + - "first" + - "last" + - "count" + Defaults to "first"

        +
        +
        • +
      • +
        columns: string | string[]
        +

        Columns whose values will be used as the header of the output DataFrame

        +
        +
        • +
      • +
        index: string | string[]
        +

        One or multiple keys to group by

        +
        +
        • +
      • +
        Optional maintainOrder?: boolean
        +

        Sort the grouped keys so that the output order is predictable.

        +
        +
        • +
      • +
        Optional sortColumns?: boolean
        +

        Sort the transposed columns by name. Default is by order of discovery.

        +
        +
    +

    Returns pl.DataFrame

    +
    +

    Example

      > df = pl.DataFrame(
      ...     {
      ...         "foo": ["one", "one", "one", "two", "two", "two"],
      ...         "bar": ["A", "B", "C", "A", "B", "C"],
      ...         "baz": [1, 2, 3, 4, 5, 6],
      ...     }
      ... )
      > df.pivot({values:"baz", index:"foo", columns:"bar"})
      shape: (2, 4)
      ┌─────┬─────┬─────┬─────┐
      │ foo ┆ A   ┆ B   ┆ C   │
      │ --- ┆ --- ┆ --- ┆ --- │
      │ str ┆ i64 ┆ i64 ┆ i64 │
      ╞═════╪═════╪═════╪═════╡
      │ one ┆ 1   ┆ 2   ┆ 3   │
      ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
      │ two ┆ 4   ┆ 5   ┆ 6   │
      └─────┴─────┴─────┴─────┘
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      options: {
          aggregateFunc?: "mean" | "min" | "max" | pl.Expr | "sum" | "median" | "count" | "first" | "last";
          columns: string | string[];
          index: string | string[];
          maintainOrder?: boolean;
          sortColumns?: boolean;
          values: string | string[];
      }
      +
        +
      • +
        Optional aggregateFunc?: "mean" | "min" | "max" | pl.Expr | "sum" | "median" | "count" | "first" | "last"
        • +
      • +
        columns: string | string[]
        • +
      • +
        index: string | string[]
        • +
      • +
        Optional maintainOrder?: boolean
        • +
      • +
        Optional sortColumns?: boolean
        • +
      • +
        values: string | string[]
    +

    Returns pl.DataFrame

+
+

quantile

+
    + +
  • +

    Aggregate the columns of this DataFrame to their quantile value.

    +
    +
    +

    Parameters

    +
      +
    • +
      quantile: number
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6, 7, 8],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > df.quantile(0.5)
    shape: (1, 3)
    ╭─────┬─────┬──────╮
    │ foo ┆ bar ┆ ham  │
    │ --- ┆ --- ┆ ---  │
    │ i64 ┆ i64 ┆ str  │
    ╞═════╪═════╪══════╡
    │ 2   ┆ 7   ┆ null │
    ╰─────┴─────┴──────╯
+
    +
+
+

rechunk

+
    + +
  • +

    Rechunk the data in this DataFrame to a contiguous allocation.

    +

    This will make sure all subsequent operations have optimal and predictable performance.

    +
    +

    Returns pl.DataFrame

    +
+
+

rename

+
    + +
  • +

    Rename column names.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      mapping: Record<string, string>
      +

      Key value pairs that map from old name to new name.

      +
      +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6, 7, 8],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > df.rename({"foo": "apple"})
    ╭───────┬─────┬─────╮
    │ apple ┆ bar ┆ ham │
    │ ---   ┆ --- ┆ --- │
    │ i64   ┆ i64 ┆ str │
    ╞═══════╪═════╪═════╡
    │ 1     ┆ 6   ┆ "a" │
    ├╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 2     ┆ 7   ┆ "b" │
    ├╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 3     ┆ 8   ┆ "c" │
    ╰───────┴─────┴─────╯
+
    +
+
+

replaceAtIdx

+
    + +
  • +

    Replace a column at an index location.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      index: number
      +

      Column index

      +
      +
      • +
    • +
      newColumn: pl.Series
      +

      New column to insert

      +
      +
    +

    Returns void

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6, 7, 8],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > x = pl.Series("apple", [10, 20, 30])
    > df.replaceAtIdx(0, x)
    shape: (3, 3)
    ╭───────┬─────┬─────╮
    │ apple ┆ bar ┆ ham │
    │ ---   ┆ --- ┆ --- │
    │ i64   ┆ i64 ┆ str │
    ╞═══════╪═════╪═════╡
    │ 10    ┆ 6   ┆ "a" │
    ├╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 20    ┆ 7   ┆ "b" │
    ├╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 30    ┆ 8   ┆ "c" │
    ╰───────┴─────┴─────╯
+
    +
+
+

row

+
    + +
  • +

    Get a row as Array

    +
    +
    +

    Parameters

    +
      +
    • +
      index: number
      +

      row index

      +
      +
    +

    Returns any[]

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6, 7, 8],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > df.row(2)
    [3, 8, 'c']
+
    +
+
+

rows

+
    + +
  • +

    Convert columnar data to rows as arrays

    +
    +

    Returns any[][]

    +
+
+

select

+
    + +
  • +

    Select columns from this DataFrame.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Rest ...columns: ExprOrString[]
      +

      Column or columns to select.

      +
      +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...     "foo": [1, 2, 3],
    ...     "bar": [6, 7, 8],
    ...     "ham": ['a', 'b', 'c']
    ...     })
    > df.select('foo')
    shape: (3, 1)
    ┌─────┐
    │ foo │
    │ --- │
    │ i64 │
    ╞═════╡
    │ 1   │
    ├╌╌╌╌╌┤
    │ 2   │
    ├╌╌╌╌╌┤
    │ 3   │
    └─────┘
+
    +
+
+

serialize

+
    + +
  • +

    Serializes object to desired format via serde

    +
    +
    +

    Parameters

    +
    +

    Returns Buffer

    +
+
+

shift

+
    + +
  • +

    Shift the values by a given period and fill the parts that will be empty due to this operation +with Nones.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      periods: number
      +

      Number of places to shift (may be negative).

      +
      +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6, 7, 8],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > df.shift(1)
    shape: (3, 3)
    ┌──────┬──────┬──────┐
    │ foo  ┆ bar  ┆ ham  │
    │ ---  ┆ ---  ┆ ---  │
    │ i64  ┆ i64  ┆ str  │
    ╞══════╪══════╪══════╡
    │ null ┆ null ┆ null │
    ├╌╌╌╌╌╌┼╌╌╌╌╌╌┼╌╌╌╌╌╌┤
    │ 1    ┆ 6    ┆ "a"  │
    ├╌╌╌╌╌╌┼╌╌╌╌╌╌┼╌╌╌╌╌╌┤
    │ 2    ┆ 7    ┆ "b"  │
    └──────┴──────┴──────┘
    > df.shift(-1)
    shape: (3, 3)
    ┌──────┬──────┬──────┐
    │ foo  ┆ bar  ┆ ham  │
    │ ---  ┆ ---  ┆ ---  │
    │ i64  ┆ i64  ┆ str  │
    ╞══════╪══════╪══════╡
    │ 2    ┆ 7    ┆ "b"  │
    ├╌╌╌╌╌╌┼╌╌╌╌╌╌┼╌╌╌╌╌╌┤
    │ 3    ┆ 8    ┆ "c"  │
    ├╌╌╌╌╌╌┼╌╌╌╌╌╌┼╌╌╌╌╌╌┤
    │ null ┆ null ┆ null │
    └──────┴──────┴──────┘
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          periods: number;
      }
      +
        +
      • +
        periods: number
    +

    Returns pl.DataFrame

+
+

shiftAndFill

+
    + +
  • +

    Shift the values by a given period and fill the parts that will be empty due to this operation +with the result of the fill_value expression.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      periods: number
      • +
    • +
      fillValue: string | number
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6, 7, 8],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > df.shiftAndFill({periods:1, fill_value:0})
    shape: (3, 3)
    ┌─────┬─────┬─────┐
    │ foo ┆ bar ┆ ham │
    │ --- ┆ --- ┆ --- │
    │ i64 ┆ i64 ┆ str │
    ╞═════╪═════╪═════╡
    │ 0   ┆ 0   ┆ "0" │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 1   ┆ 6   ┆ "a" │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 2   ┆ 7   ┆ "b" │
    └─────┴─────┴─────┘
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          fillValue: string | number;
          periods: number;
      }
      +
        +
      • +
        fillValue: string | number
        • +
      • +
        periods: number
    +

    Returns pl.DataFrame

+
+

shrinkToFit

+
    + +
  • +

    Shrink memory usage of this DataFrame to fit the exact capacity needed to hold the data.

    +
    +

    Returns pl.DataFrame

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      inPlace: true
    +

    Returns void

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          inPlace: true;
      }
      +
        +
      • +
        inPlace: true
    +

    Returns void

+
+

slice

+
    + +
  • +

    Slice this DataFrame over the rows direction.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      opts: {
          length: number;
          offset: number;
      }
      +
      +
        +
      • +
        length: number
        +

        Length of the slice

        +
        +
        • +
      • +
        offset: number
        +

        Offset index.

        +
        +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6.0, 7.0, 8.0],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > df.slice(1, 2) // Alternatively `df.slice({offset:1, length:2})`
    shape: (2, 3)
    ┌─────┬─────┬─────┐
    │ foo ┆ bar ┆ ham │
    │ --- ┆ --- ┆ --- │
    │ i64 ┆ i64 ┆ str │
    ╞═════╪═════╪═════╡
    │ 2   ┆ 7   ┆ "b" │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 3   ┆ 8   ┆ "c" │
    └─────┴─────┴─────┘
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      offset: number
      • +
    • +
      length: number
    +

    Returns pl.DataFrame

+
+

sort

+
    + +
  • +

    Sort the DataFrame by column.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      by: ColumnsOrExpr
      +

      By which columns to sort. Only accepts string.

      +
      +
      • +
    • +
      Optional descending: boolean
      • +
    • +
      Optional maintain_order: boolean
    +

    Returns pl.DataFrame

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          by: ColumnsOrExpr;
          descending?: boolean;
          maintain_order?: boolean;
      }
      +
        +
      • +
        by: ColumnsOrExpr
        • +
      • +
        Optional descending?: boolean
        • +
      • +
        Optional maintain_order?: boolean
    +

    Returns pl.DataFrame

+
+

std

+
    + +
  • +

    Aggregate the columns of this DataFrame to their standard deviation value.

    +
    +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "foo": [1, 2, 3],
    ...   "bar": [6, 7, 8],
    ...   "ham": ['a', 'b', 'c']
    ... })
    > df.std()
    shape: (1, 3)
    ╭─────┬─────┬──────╮
    │ foo ┆ bar ┆ ham  │
    │ --- ┆ --- ┆ ---  │
    │ f64 ┆ f64 ┆ str  │
    ╞═════╪═════╪══════╡
    │ 1   ┆ 1   ┆ null │
    ╰─────┴─────┴──────╯
+
    +
+
+

sum

+
+
+

tail

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      Optional length: number
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "letters": ["c", "c", "a", "c", "a", "b"],
    ...   "nrs": [1, 2, 3, 4, 5, 6]
    ... })
    > df
    shape: (6, 2)
    ╭─────────┬─────╮
    │ letters ┆ nrs │
    │ ---     ┆ --- │
    │ str     ┆ i64 │
    ╞═════════╪═════╡
    │ "c"     ┆ 1   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "c"     ┆ 2   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "a"     ┆ 3   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "c"     ┆ 4   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "a"     ┆ 5   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "b"     ┆ 6   │
    ╰─────────┴─────╯
    > df.groupby("letters")
    ...   .tail(2)
    ...   .sort("letters")
    shape: (5, 2)
    ╭─────────┬─────╮
    │ letters ┆ nrs │
    │ ---     ┆ --- │
    │ str     ┆ i64 │
    ╞═════════╪═════╡
    │ "a"     ┆ 3   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "a"     ┆ 5   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "b"     ┆ 6   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "c"     ┆ 2   │
    ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┤
    │ "c"     ┆ 4   │
    ╰─────────┴─────╯
+
    +
+
+

toSeries

+
+
+

toString

+
+
+

toStruct

+
    + +
  • +

    Convert a DataFrame to a Series of type Struct

    +
    +
    +

    Parameters

    +
      +
    • +
      name: string
      +

      Name for the struct Series

      +
      +
    +

    Returns pl.Series

    +
    +

    Example

     > df = pl.DataFrame({
     ...   "a": [1, 2, 3, 4, 5],
     ...   "b": ["one", "two", "three", "four", "five"],
     ... })
     > df.toStruct("nums")
     shape: (5,)
     Series: 'nums' [struct[2]{'a': i64, 'b': str}]
     [
             {1,"one"}
             {2,"two"}
             {3,"three"}
             {4,"four"}
             {5,"five"}
     ]
+
    +
+
+

transpose

+
    + +
  • +

    Transpose a DataFrame over the diagonal.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional options: {
          columnNames?: Iterable<string>;
          headerName?: string;
          includeHeader?: boolean;
      }
      +
      +
        +
      • +
        Optional columnNames?: Iterable<string>
        +

        Optional generator/iterator that yields column names. Will be used to replace the columns in the DataFrame.

        +
        +
        • +
      • +
        Optional headerName?: string
        +

        If includeHeader is set, this determines the name of the column that will be inserted

        +
        +
        • +
      • +
        Optional includeHeader?: boolean
        +

        If set, the column names will be added as first column.

        +
        +
    +

    Returns any

    +
    +

    Remarks

    This is a very expensive operation. Perhaps you can do it differently.

    + +

    Example

    > df = pl.DataFrame({"a": [1, 2, 3], "b": [1, 2, 3]})
    > df.transpose({includeHeader:true})
    shape: (2, 4)
    ┌────────┬──────────┬──────────┬──────────┐
    │ column ┆ column_0 ┆ column_1 ┆ column_2 │
    │ ---    ┆ ---      ┆ ---      ┆ ---      │
    │ str    ┆ i64      ┆ i64      ┆ i64      │
    ╞════════╪══════════╪══════════╪══════════╡
    │ a      ┆ 1        ┆ 2        ┆ 3        │
    ├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┤
    │ b      ┆ 1        ┆ 2        ┆ 3        │
    └────────┴──────────┴──────────┴──────────┘
    // replace the auto generated column names with a list
    > df.transpose({includeHeader:false, columnNames:["a", "b", "c"]})
    shape: (2, 3)
    ┌─────┬─────┬─────┐
    │ a   ┆ b   ┆ c   │
    │ --- ┆ --- ┆ --- │
    │ i64 ┆ i64 ┆ i64 │
    ╞═════╪═════╪═════╡
    │ 1   ┆ 2   ┆ 3   │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 1   ┆ 2   ┆ 3   │
    └─────┴─────┴─────┘

    // Include the header as a separate column
    > df.transpose({
    ...     includeHeader:true,
    ...     headerName:"foo",
    ...     columnNames:["a", "b", "c"]
    ... })
    shape: (2, 4)
    ┌─────┬─────┬─────┬─────┐
    │ foo ┆ a   ┆ b   ┆ c   │
    │ --- ┆ --- ┆ --- ┆ --- │
    │ str ┆ i64 ┆ i64 ┆ i64 │
    ╞═════╪═════╪═════╪═════╡
    │ a   ┆ 1   ┆ 2   ┆ 3   │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ b   ┆ 1   ┆ 2   ┆ 3   │
    └─────┴─────┴─────┴─────┘

    // Replace the auto generated column with column names from a generator function
    > function *namesGenerator() {
    ...     const baseName = "my_column_";
    ...     let count = 0;
    ...     let name = `${baseName}_${count}`;
    ...     count++;
    ...     yield name;
    ... }
    > df.transpose({includeHeader:false, columnNames:namesGenerator})
    shape: (2, 3)
    ┌─────────────┬─────────────┬─────────────┐
    │ my_column_0 ┆ my_column_1 ┆ my_column_2 │
    │ ---         ┆ ---         ┆ ---         │
    │ i64         ┆ i64         ┆ i64         │
    ╞═════════════╪═════════════╪═════════════╡
    │ 1           ┆ 2           ┆ 3           │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ 1           ┆ 2           ┆ 3           │
    └─────────────┴─────────────┴─────────────┘
+
    +
+
+

unique

+
    + +
  • +

    Drop duplicate rows from this DataFrame. +Note that this fails if there is a column of type List in the DataFrame.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional maintainOrder: boolean
      +
      • +
    • +
      Optional subset: ColumnSelection
      +

      subset to drop duplicates for

      +
      +
      • +
    • +
      Optional keep: "first" | "last"
      +

      "first" | "last"

      +
      +
    +

    Returns pl.DataFrame

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      opts: {
          keep?: "first" | "last";
          maintainOrder?: boolean;
          subset?: ColumnSelection;
      }
      +
        +
      • +
        Optional keep?: "first" | "last"
        • +
      • +
        Optional maintainOrder?: boolean
        • +
      • +
        Optional subset?: ColumnSelection
    +

    Returns pl.DataFrame

+
+

unnest

+
    + +
  • +

    Decompose a struct into its fields. The fields will be inserted in to the DataFrame on the +location of the struct type.

    +
    +
    +

    Parameters

    +
      +
    • +
      names: string | string[]
      +

      Names of the struct columns that will be decomposed by its fields

      +
      +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "int": [1, 2],
    ...   "str": ["a", "b"],
    ...   "bool": [true, null],
    ...   "list": [[1, 2], [3]],
    ... })
    ...  .toStruct("my_struct")
    ...  .toFrame()
    > df
    shape: (2, 1)
    ┌─────────────────────────────┐
    │ my_struct                   │
    │ ---                         │
    │ struct[4]{'int',...,'list'} │
    ╞═════════════════════════════╡
    │ {1,"a",true,[1, 2]}         │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ {2,"b",null,[3]}            │
    └─────────────────────────────┘
    > df.unnest("my_struct")
    shape: (2, 4)
    ┌─────┬─────┬──────┬────────────┐
    │ int ┆ str ┆ bool ┆ list       │
    │ --- ┆ --- ┆ ---  ┆ ---        │
    │ i64 ┆ str ┆ bool ┆ list [i64] │
    ╞═════╪═════╪══════╪════════════╡
    │ 1   ┆ a   ┆ true ┆ [1, 2]     │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ 2   ┆ b   ┆ null ┆ [3]        │
    └─────┴─────┴──────┴────────────┘
+
    +
+
+

var

+
    + +
  • +

    Aggregate the columns of this DataFrame to their variance value.

    +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df = pl.DataFrame({
    >   "foo": [1, 2, 3],
    >   "bar": [6, 7, 8],
    >   "ham": ['a', 'b', 'c']
    > })
    > df.var()
    shape: (1, 3)
    ╭─────┬─────┬──────╮
    │ foo ┆ bar ┆ ham  │
    │ --- ┆ --- ┆ ---  │
    │ f64 ┆ f64 ┆ str  │
    ╞═════╪═════╪══════╡
    │ 1   ┆ 1   ┆ null │
    ╰─────┴─────┴──────╯
+
    +
+
+

vstack

+
    + +
  • +

    Grow this DataFrame vertically by stacking a DataFrame to it.

    +
    +
    +

    Parameters

    +
    +

    Returns pl.DataFrame

    +
    +

    Example

    > df1 = pl.DataFrame({
    ...   "foo": [1, 2],
    ...   "bar": [6, 7],
    ...   "ham": ['a', 'b']
    ... })
    > df2 = pl.DataFrame({
    ...   "foo": [3, 4],
    ...   "bar": [8 , 9],
    ...   "ham": ['c', 'd']
    ... })
    > df1.vstack(df2)
    shape: (4, 3)
    ╭─────┬─────┬─────╮
    │ foo ┆ bar ┆ ham │
    │ --- ┆ --- ┆ --- │
    │ i64 ┆ i64 ┆ str │
    ╞═════╪═════╪═════╡
    │ 1   ┆ 6   ┆ "a" │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 2   ┆ 7   ┆ "b" │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 3   ┆ 8   ┆ "c" │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 4   ┆ 9   ┆ "d" │
    ╰─────┴─────┴─────╯
+
    +
+
+

where

+
+
+

withColumn

+
+
+

withColumnRenamed

+
    + +
  • +

    Return a new DataFrame with the column renamed.

    +
    +
    +

    Parameters

    +
      +
    • +
      existing: string
      • +
    • +
      replacement: string
    +

    Returns pl.DataFrame

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      opts: {
          existing: string;
          replacement: string;
      }
      +
        +
      • +
        existing: string
        • +
      • +
        replacement: string
    +

    Returns pl.DataFrame

+
+

withColumns

+
+
+

withRowCount

+
    + +
  • +

    Add a column at index 0 that counts the rows.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional name: string
      +

      name of the column to add

      +
      +
    +

    Returns pl.DataFrame

    +
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/interfaces/pl.Expr-1.html b/interfaces/pl.Expr-1.html new file mode 100644 index 00000000..72c9c0e9 --- /dev/null +++ b/interfaces/pl.Expr-1.html @@ -0,0 +1,3116 @@ +Expr | nodejs-polars
+
+ +
+
+
+
+ +

Interface Expr

+
+

Expressions that can be used in various contexts.

+
+
+
+

Hierarchy

+
+
+
+
+ +
+
+

Accessors

+
date +lst +str +struct +
+
+

Methods - Arithmetic

+
add +div +divideBy +minus +modulo +mul +multiplyBy +plus +rem +sub +
+
+

Methods - Comparison

+
eq +equals +greaterThan +greaterThanEquals +gt +gtEq +lessThan +lessThanEquals +lt +ltEq +neq +notEquals +
+
+

Methods - Cumulative

+
cumCount +cumMax +cumMin +cumProd +cumSum +
+
+

Methods - Math

+
ceil +clip +floor +round +sample +
+
+

Methods - Other

+
[INSPECT_SYMBOL] +[toStringTag] +abs +aggGroups +alias +and +argMax +argMin +argSort +argUnique +as +backwardFill +cast +count +diff +dot +exclude +explode +extend +extendConstant +fillNan +fillNull +filter +first +flatten +forwardFill +hash +head +inner +interpolate +isDuplicated +isFinite +isFirst +isIn +isInfinite +isNan +isNotNan +isNotNull +isNull +isUnique +keepName +kurtosis +last +list +lowerBound +max +mean +median +min +mode +nUnique +not +or +over +pow +prefix +quantile +rank +reinterpret +repeatBy +reverse +serialize +shift +shiftAndFill +skew +slice +sort +sortBy +std +suffix +sum +tail +take +takeEvery +toJSON +toString +unique +upperBound +var +where +
+
+

Methods - Rolling

+
rollingMax +rollingMean +rollingMedian +rollingMin +rollingQuantile +rollingSkew +rollingStd +rollingSum +rollingVar +
+
+

Accessors

+
+

date

+
+
+

lst

+
+
+

str

+
+
+

struct

+
+
+

Methods - Arithmetic

+
+

add

+
    + +
  • +

    Add self to other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

div

+
    + +
  • +

    Divide self by other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

divideBy

+
    + +
  • +

    Divide self by other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

minus

+
    + +
  • +

    Subtract other from self

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

modulo

+
    + +
  • +

    Get the remainder of self divided by other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

mul

+
    + +
  • +

    Multiply self by other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

multiplyBy

+
    + +
  • +

    Multiply self by other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

plus

+
    + +
  • +

    Add self to other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

rem

+
    + +
  • +

    Get the remainder of self divided by other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

sub

+
    + +
  • +

    Subtract other from self

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

Methods - Comparison

+
+

eq

+
    + +
  • +

    Compare self to other: self == other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

equals

+
    + +
  • +

    Compare self to other: self == other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

greaterThan

+
    + +
  • +

    Compare self to other: self > other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

greaterThanEquals

+
    + +
  • +

    Compare self to other: self >= other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

gt

+
    + +
  • +

    Compare self to other: self > other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

gtEq

+
    + +
  • +

    Compare self to other: self >= other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

lessThan

+
    + +
  • +

    Compare self to other: self < other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

lessThanEquals

+
    + +
  • +

    Compare self to other: self =< other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

lt

+
    + +
  • +

    Compare self to other: self < other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

ltEq

+
    + +
  • +

    Compare self to other: self <= other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

neq

+
    + +
  • +

    Compare self to other: self !== other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

notEquals

+
    + +
  • +

    Compare self to other: self !== other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Expr

    +
+
+

Methods - Cumulative

+
+

cumCount

+
    + +
  • +

    Get an array with the cumulative count computed at every element.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional reverse: boolean
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          reverse: boolean;
      }
      +
        +
      • +
        reverse: boolean
    +

    Returns pl.Expr

+
+

cumMax

+
    + +
  • +

    Get an array with the cumulative max computes at every element.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional reverse: boolean
      +

      reverse the operation

      +
      +
    +

    Returns pl.Expr

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 3])
    >  s.cumMax()
    shape: (3,)
    Series: 'b' [i64]
    [
            1
            2
            3
    ]
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          reverse: boolean;
      }
      +
        +
      • +
        reverse: boolean
    +

    Returns pl.Expr

+
+

cumMin

+
    + +
  • +

    Get an array with the cumulative min computed at every element.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional reverse: boolean
      +

      reverse the operation

      +
      +
    +

    Returns pl.Expr

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 3])
    >  s.cumMin()
    shape: (3,)
    Series: 'b' [i64]
    [
            1
            1
            1
    ]
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          reverse: boolean;
      }
      +
        +
      • +
        reverse: boolean
    +

    Returns pl.Expr

+
+

cumProd

+
    + +
  • +

    Get an array with the cumulative product computed at every element.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional reverse: boolean
      +

      reverse the operation

      +
      +
    +

    Returns pl.Expr

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 3])
    >  s.cumProd()
    shape: (3,)
    Series: 'b' [i64]
    [
            1
            2
            6
    ]
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          reverse: boolean;
      }
      +
        +
      • +
        reverse: boolean
    +

    Returns pl.Expr

+
+

cumSum

+
    + +
  • +

    Get an array with the cumulative sum computed at every element.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional reverse: boolean
      +

      reverse the operation

      +
      +
    +

    Returns pl.Expr

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 3])
    >  s.cumSum()
    shape: (3,)
    Series: 'b' [i64]
    [
            1
            3
            6
    ]
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          reverse: boolean;
      }
      +
        +
      • +
        reverse: boolean
    +

    Returns pl.Expr

+
+

Methods - Math

+
+

ceil

+
    + +
  • +

    Ceil underlying floating point array to the highest integers smaller or equal to the float value. +Only works on floating point Series

    +
    +

    Returns pl.Expr

    +
+
+

clip

+
    + +
  • +

    Clip (limit) the values in an array to any value that fits in 64 floating point range. +Only works for the following dtypes: {Int32, Int64, Float32, Float64, UInt32}. +If you want to clip other dtypes, consider writing a when -> then -> otherwise expression

    +
    +
    +

    Parameters

    +
      +
    • +
      min: number
      +

      Minimum value

      +
      +
      • +
    • +
      max: number
      +

      Maximum value

      +
      +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      options: {
          max: number;
          min: number;
      }
      +
        +
      • +
        max: number
        • +
      • +
        min: number
    +

    Returns any

+
+

floor

+
    + +
  • +

    Floor underlying floating point array to the lowest integers smaller or equal to the float value. +Only works on floating point Series

    +
    +

    Returns pl.Expr

    +
+
+

round

+
    + +
  • +

    Round underlying floating point data by decimals digits.

    +

    Similar functionality to javascript toFixed

    +
    +
    +

    Parameters

    +
      +
    • +
      decimals: number
      +

      number of decimals to round by.

      +
      +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      options: {
          decimals: number;
      }
      +
        +
      • +
        decimals: number
    +

    Returns pl.Expr

+
+

sample

+
    + +
  • +

    Sample from this DataFrame by setting either n or frac.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional opts: {
          n: number;
          seed?: number | bigint;
          withReplacement?: boolean;
      }
      +
        +
      • +
        n: number
        • +
      • +
        Optional seed?: number | bigint
        • +
      • +
        Optional withReplacement?: boolean
    +

    Returns pl.Expr

    +
    +

    Example

    > df = pl.DataFrame({
    >   "foo": [1, 2, 3],
    >   "bar": [6, 7, 8],
    >   "ham": ['a', 'b', 'c']
    > })
    > df.sample({n: 2})
    shape: (2, 3)
    ╭─────┬─────┬─────╮
    │ foo ┆ bar ┆ ham │
    │ --- ┆ --- ┆ --- │
    │ i64 ┆ i64 ┆ str │
    ╞═════╪═════╪═════╡
    │ 1   ┆ 6   ┆ "a" │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 3   ┆ 8   ┆ "c" │
    ╰─────┴─────┴─────╯
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      Optional opts: {
          frac: number;
          seed?: number | bigint;
          withReplacement?: boolean;
      }
      +
        +
      • +
        frac: number
        • +
      • +
        Optional seed?: number | bigint
        • +
      • +
        Optional withReplacement?: boolean
    +

    Returns pl.Expr

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      Optional n: number
      • +
    • +
      Optional frac: number
      • +
    • +
      Optional withReplacement: boolean
      • +
    • +
      Optional seed: number | bigint
    +

    Returns pl.Expr

+
+

Methods - Other

+
+

[INSPECT_SYMBOL]

+
+
+

[toStringTag]

+
+
+

abs

+
+
+

aggGroups

+
+
+

alias

+
    + +
  • +

    Rename the output of an expression.

    +
    +
    +

    Parameters

    +
      +
    • +
      name: string
      +

      new name

      +
      +
    +

    Returns pl.Expr

    +
    +

    See

    as

    + +

    Example

    > df = pl.DataFrame({
    ...   "a": [1, 2, 3],
    ...   "b": ["a", "b", None],
    ... })
    > df
    shape: (3, 2)
    ╭─────┬──────╮
    │ a   ┆ b    │
    │ --- ┆ ---  │
    │ i64 ┆ str  │
    ╞═════╪══════╡
    │ 1   ┆ "a"  │
    ├╌╌╌╌╌┼╌╌╌╌╌╌┤
    │ 2   ┆ "b"  │
    ├╌╌╌╌╌┼╌╌╌╌╌╌┤
    │ 3   ┆ null │
    ╰─────┴──────╯
    > df.select([
    ...   pl.col("a").alias("bar"),
    ...   pl.col("b").alias("foo"),
    ... ])
    shape: (3, 2)
    ╭─────┬──────╮
    │ bar ┆ foo  │
    │ --- ┆ ---  │
    │ i64 ┆ str  │
    ╞═════╪══════╡
    │ 1   ┆ "a"  │
    ├╌╌╌╌╌┼╌╌╌╌╌╌┤
    │ 2   ┆ "b"  │
    ├╌╌╌╌╌┼╌╌╌╌╌╌┤
    │ 3   ┆ null │
    ╰─────┴──────╯
+
    +
+
+

and

+
+
+

argMax

+
+
+

argMin

+
+
+

argSort

+
    + +
  • +

    Get the index values that would sort this column.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional reverse: boolean
      +

      false -> order from small to large. + - true -> order from large to small.

      +
      +
      • +
    • +
      Optional maintain_order: boolean
    +

    Returns pl.Expr

    UInt32 Series

    + +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          maintain_order?: boolean;
          reverse?: boolean;
      }
      +
        +
      • +
        Optional maintain_order?: boolean
        • +
      • +
        Optional reverse?: boolean
    +

    Returns pl.Expr

+
+

argUnique

+
+
+

as

+
+
+

backwardFill

+
+
+

cast

+
+
+

count

+
+
+

diff

+
    + +
  • +

    Calculate the n-th discrete difference.

    +
    +
    +

    Parameters

    +
      +
    • +
      n: number
      +

      number of slots to shift

      +
      +
      • +
    • +
      nullBehavior: "ignore" | "drop"
      +

      ignore or drop

      +
      +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      o: {
          n: number;
          nullBehavior: "ignore" | "drop";
      }
      +
        +
      • +
        n: number
        • +
      • +
        nullBehavior: "ignore" | "drop"
    +

    Returns pl.Expr

+
+

dot

+
    + +
  • +

    Compute the dot/inner product between two Expressions

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
      +

      Expression to compute dot product with

      +
      +
    +

    Returns pl.Expr

    +
+
+

exclude

+
    + +
  • +

    Exclude certain columns from a wildcard/regex selection.

    +

    You may also use regexes in the exclude list. They must start with ^ and end with $.

    +
    +
    +

    Parameters

    +
      +
    • +
      column: string
      • +
    • +
      Rest ...columns: string[]
      +

      Column(s) to exclude from selection

      +
      +
    +

    Returns pl.Expr

    +
    +

    Example

     >df = pl.DataFrame({
     ...   "a": [1, 2, 3],
     ...   "b": ["a", "b", None],
     ...   "c": [None, 2, 1],
     ...})
     >df
     shape: (3, 3)
     ╭─────┬──────┬──────╮
     │ a   ┆ b    ┆ c    │
     │ --- ┆ ---  ┆ ---  │
     │ i64 ┆ str  ┆ i64  │
     ╞═════╪══════╪══════╡
     │ 1   ┆ "a"  ┆ null │
     ├╌╌╌╌╌┼╌╌╌╌╌╌┼╌╌╌╌╌╌┤
     │ 2   ┆ "b"  ┆ 2    │
     ├╌╌╌╌╌┼╌╌╌╌╌╌┼╌╌╌╌╌╌┤
     │ 3   ┆ null ┆ 1    │
     ╰─────┴──────┴──────╯
     >df.select(
     ...   pl.col("*").exclude("b"),
     ... )
    shape: (3, 2)
    ╭─────┬──────╮
    │ a   ┆ c    │
    │ --- ┆ ---  │
    │ i64 ┆ i64  │
    ╞═════╪══════╡
    │ 1   ┆ null │
    ├╌╌╌╌╌┼╌╌╌╌╌╌┤
    │ 2   ┆ 2    │
    ├╌╌╌╌╌┼╌╌╌╌╌╌┤
    │ 3   ┆ 1    │
    ╰─────┴──────╯
+
    +
+
+

explode

+
+
+

extend

+
    + +
  • +

    Extend the Series with given number of values.

    +
    +
    +

    Parameters

    +
      +
    • +
      value: any
      +

      The value to extend the Series with. This value may be null to fill with nulls.

      +
      +
      • +
    • +
      n: number
      +

      The number of values to extend.

      +
      +
    +

    Returns pl.Expr

    +
    +

    Deprecated

    +

    See

    extendConstant

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      opt: {
          n: number;
          value: any;
      }
      +
        +
      • +
        n: number
        • +
      • +
        value: any
    +

    Returns pl.Expr

+
+

extendConstant

+
    + +
  • +

    Extend the Series with given number of values.

    +
    +
    +

    Parameters

    +
      +
    • +
      value: any
      +

      The value to extend the Series with. This value may be null to fill with nulls.

      +
      +
      • +
    • +
      n: number
      +

      The number of values to extend.

      +
      +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      opt: {
          n: number;
          value: any;
      }
      +
        +
      • +
        n: number
        • +
      • +
        value: any
    +

    Returns pl.Expr

+
+

fillNan

+
+
+

fillNull

+
+
+

filter

+
    + +
  • +

    Filter a single column.

    +

    Mostly useful in in aggregation context. +If you want to filter on a DataFrame level, use LazyFrame.filter.

    +
    +
    +

    Parameters

    +
      +
    • +
      predicate: pl.Expr
      +

      Boolean expression.

      +
      +
    +

    Returns pl.Expr

    +
+
+

first

+
+
+

flatten

+
+
+

forwardFill

+
+
+

hash

+
    + +
  • +

    Hash the Series.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional k0: number
      • +
    • +
      Optional k1: number
      • +
    • +
      Optional k2: number
      • +
    • +
      Optional k3: number
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          k0?: number;
          k1?: number;
          k2?: number;
          k3?: number;
      }
      +
        +
      • +
        Optional k0?: number
        • +
      • +
        Optional k1?: number
        • +
      • +
        Optional k2?: number
        • +
      • +
        Optional k3?: number
    +

    Returns pl.Expr

+
+

head

+
+
+

inner

+
+
+

interpolate

+
+
+

isDuplicated

+
+
+

isFinite

+
+
+

isFirst

+
+
+

isIn

+
    + +
  • +

    Check if elements of this Series are in the right Series, or List values of the right Series.

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
      +

      Series of primitive type or List type.

      +
      +
    +

    Returns pl.Expr

    Expr that evaluates to a Boolean Series.

    + +
    +

    Example

    > df = pl.DataFrame({
    ...   "sets": [[1, 2, 3], [1, 2], [9, 10]],
    ...    "optional_members": [1, 2, 3]
    ... })
    > df.select(
    ...   pl.col("optional_members").isIn("sets").alias("contains")
    ... )
    shape: (3, 1)
    ┌──────────┐
    │ contains │
    │ ---      │
    │ bool     │
    ╞══════════╡
    │ true     │
    ├╌╌╌╌╌╌╌╌╌╌┤
    │ true     │
    ├╌╌╌╌╌╌╌╌╌╌┤
    │ false    │
    └──────────┘
+
    +
+
+

isInfinite

+
+
+

isNan

+
    + +
  • +

    Create a boolean expression returning true where the expression values are NaN (Not A Number).

    +
    +

    Returns pl.Expr

    +
+
+

isNotNan

+
    + +
  • +

    Create a boolean expression returning true where the expression values are not NaN (Not A Number).

    +
    +

    Returns pl.Expr

    +
+
+

isNotNull

+
    + +
  • +

    Create a boolean expression returning true where the expression does not contain null values.

    +
    +

    Returns pl.Expr

    +
+
+

isNull

+
+
+

isUnique

+
+
+

keepName

+
    + +
  • +

    Keep the original root name of the expression.

    +

    A groupby aggregation often changes the name of a column. +With keepName we can keep the original name of the column

    +
    +

    Returns pl.Expr

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "a": [1, 2, 3],
    ...   "b": ["a", "b", None],
    ... })

    > df
    ...   .groupBy("a")
    ...   .agg(pl.col("b").list())
    ...   .sort({by:"a"})

    shape: (3, 2)
    ╭─────┬────────────╮
    │ a   ┆ b_agg_list │
    │ --- ┆ ---        │
    │ i64 ┆ list [str] │
    ╞═════╪════════════╡
    │ 1   ┆ [a]        │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ 2   ┆ [b]        │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ 3   ┆ [null]     │
    ╰─────┴────────────╯

    Keep the original column name:

    > df
    ...   .groupby("a")
    ...   .agg(col("b").list().keepName())
    ...   .sort({by:"a"})

    shape: (3, 2)
    ╭─────┬────────────╮
    │ a   ┆ b          │
    │ --- ┆ ---        │
    │ i64 ┆ list [str] │
    ╞═════╪════════════╡
    │ 1   ┆ [a]        │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ 2   ┆ [b]        │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ 3   ┆ [null]     │
    ╰─────┴────────────╯
+
    +
+
+

kurtosis

+
+
+

last

+
+
+

list

+
+
+

lowerBound

+
    + +
  • +

    Returns a unit Series with the lowest value possible for the dtype of this expression.

    +
    +

    Returns pl.Expr

    +
+
+

max

+
+
+

mean

+
+
+

median

+
+
+

min

+
+
+

mode

+
+
+

nUnique

+
+
+

not

+
+
+

or

+
+
+

over

+
    + +
  • +

    Apply window function over a subgroup.

    +

    This is similar to a groupby + aggregation + self join. +Or similar to window functions in Postgres

    +
    +
    +

    Parameters

    +
      +
    • +
      by: ExprOrString
      • +
    • +
      Rest ...partitionBy: ExprOrString[]
      +

      Column(s) to partition by.

      +
      +
    +

    Returns pl.Expr

    +
    +

    Example

    > df = pl.DataFrame({
    ...  "groups": [1, 1, 2, 2, 1, 2, 3, 3, 1],
    ...  "values": [1, 2, 3, 4, 5, 6, 7, 8, 8],
    ... })
    > df.select(
    ...     pl.col("groups").sum().over("groups")
    ... )
        ╭────────┬────────╮
        │ groups ┆ values │
        │ ---    ┆ ---    │
        │ i32    ┆ i32    │
        ╞════════╪════════╡
        │ 1      ┆ 16     │
        ├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌┤
        │ 1      ┆ 16     │
        ├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌┤
        │ 2      ┆ 13     │
        ├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌┤
        │ 2      ┆ 13     │
        ├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌┤
        │ ...    ┆ ...    │
        ├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌┤
        │ 1      ┆ 16     │
        ├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌┤
        │ 2      ┆ 13     │
        ├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌┤
        │ 3      ┆ 15     │
        ├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌┤
        │ 3      ┆ 15     │
        ├╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌┤
        │ 1      ┆ 16     │
        ╰────────┴────────╯
+
    +
+
+

pow

+
    + +
  • +

    Raise expression to the power of exponent.

    +
    +
    +

    Parameters

    +
      +
    • +
      exponent: number
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          exponent: number;
      }
      +
        +
      • +
        exponent: number
    +

    Returns pl.Expr

+
+

prefix

+
    + +
  • +

    Add a prefix the to root column name of the expression.

    +
    +
    +

    Parameters

    +
      +
    • +
      prefix: string
    +

    Returns pl.Expr

    +
    +

    Example

    > df = pl.DataFrame({
    ...   "A": [1, 2, 3, 4, 5],
    ...   "fruits": ["banana", "banana", "apple", "apple", "banana"],
    ...   "B": [5, 4, 3, 2, 1],
    ...   "cars": ["beetle", "audi", "beetle", "beetle", "beetle"],
    ... })
    shape: (5, 4)
    ╭─────┬──────────┬─────┬──────────╮
    │ A   ┆ fruits   ┆ B   ┆ cars     │
    │ --- ┆ ---      ┆ --- ┆ ---      │
    │ i64 ┆ str      ┆ i64 ┆ str      │
    ╞═════╪══════════╪═════╪══════════╡
    │ 1   ┆ "banana" ┆ 5   ┆ "beetle" │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┤
    │ 2   ┆ "banana" ┆ 4   ┆ "audi"   │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┤
    │ 3   ┆ "apple"  ┆ 3   ┆ "beetle" │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┤
    │ 4   ┆ "apple"  ┆ 2   ┆ "beetle" │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┤
    │ 5   ┆ "banana" ┆ 1   ┆ "beetle" │
    ╰─────┴──────────┴─────┴──────────╯
    > df.select(
    ...   pl.all().reverse().prefix("reverse_"),
    ... )
    shape: (5, 8)
    ╭───────────┬────────────────┬───────────┬──────────────╮
    │ reverse_A ┆ reverse_fruits ┆ reverse_B ┆ reverse_cars │
    │ ---       ┆ ---            ┆ ---       ┆ ---          │
    │ i64       ┆ str            ┆ i64       ┆ str          │
    ╞═══════════╪════════════════╪═══════════╪══════════════╡
    │ 5         ┆ "banana"       ┆ 1         ┆ "beetle"     │
    ├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ 4         ┆ "apple"        ┆ 2         ┆ "beetle"     │
    ├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ 3         ┆ "apple"        ┆ 3         ┆ "beetle"     │
    ├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ 2         ┆ "banana"       ┆ 4         ┆ "audi"       │
    ├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ 1         ┆ "banana"       ┆ 5         ┆ "beetle"     │
    ╰───────────┴────────────────┴───────────┴──────────────╯
+
    +
+
+

quantile

+
+
+

rank

+
+
+

reinterpret

+
+
+

repeatBy

+
    + +
  • +

    Repeat the elements in this Series n times by dictated by the number given by by. +The elements are expanded into a List

    +
    +
    +

    Parameters

    +
      +
    • +
      by: string | pl.Expr
      +

      Numeric column that determines how often the values will be repeated.

      +

      The column will be coerced to UInt32. Give this dtype to make the coercion a no-op.

      +
      +
    +

    Returns pl.Expr

    +
+
+

reverse

+
+
+

serialize

+
    + +
  • +

    Serializes object to desired format via serde

    +
    +
    +

    Parameters

    +
    +

    Returns Buffer

    +
+
+

shift

+
    + +
  • +

    Shift the values by a given period and fill the parts that will be empty due to this operation

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional periods: number
      +

      number of places to shift (may be negative).

      +
      +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          periods: number;
      }
      +
        +
      • +
        periods: number
    +

    Returns pl.Expr

+
+

shiftAndFill

+
    + +
  • +

    Shift the values by a given period and fill the parts that will be empty due to this operation

    +
    +
    +

    Parameters

    +
      +
    • +
      periods: number
      +

      Number of places to shift (may be negative).

      +
      +
      • +
    • +
      fillValue: pl.Expr
      +

      Fill null values with the result of this expression.

      +
      +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          fillValue: pl.Expr;
          periods: number;
      }
      +
        +
      • +
        fillValue: pl.Expr
        • +
      • +
        periods: number
    +

    Returns pl.Expr

+
+

skew

+
    + +
  • +

    Compute the sample skewness of a data set. +For normally distributed data, the skewness should be about zero. For +unimodal continuous distributions, a skewness value greater than zero means +that there is more weight in the right tail of the distribution.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional bias: boolean
      +

      If False, then the calculations are corrected for statistical bias.

      +
      +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          bias: boolean;
      }
      +
        +
      • +
        bias: boolean
    +

    Returns pl.Expr

+
+

slice

+
+
+

sort

+
    + +
  • +

    Sort this column. In projection/ selection context the whole column is sorted.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional reverse: boolean
      +
        +
      • false -> order from small to large.
        • +
      • true -> order from large to small.
        • +
      +
      +
      • +
    • +
      Optional nullsLast: boolean
      +

      If true nulls are considered to be larger than any valid value

      +
      +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          nullsLast?: boolean;
          reverse?: boolean;
      }
      +
        +
      • +
        Optional nullsLast?: boolean
        • +
      • +
        Optional reverse?: boolean
    +

    Returns pl.Expr

+
+

sortBy

+
    + +
  • +

    Sort this column by the ordering of another column, or multiple other columns. + In projection/ selection context the whole column is sorted. + If used in a groupby context, the groups are sorted.

    +

    Parameters

    +
    +

    Parameters

    +
      +
    • +
      by: ExprOrString | ExprOrString[]
      +

      The column(s) used for sorting.

      +
      +
      • +
    • +
      Optional reverse: boolean | boolean[]
      +

      false -> order from small to large. + true -> order from large to small.

      +
      +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      options: {
          by: ExprOrString | ExprOrString[];
          reverse?: boolean | boolean[];
      }
      +
        +
      • +
        by: ExprOrString | ExprOrString[]
        • +
      • +
        Optional reverse?: boolean | boolean[]
    +

    Returns pl.Expr

+
+

std

+
+
+

suffix

+
    + +
  • +

    Add a suffix the to root column name of the expression.

    +
    +
    +

    Parameters

    +
      +
    • +
      suffix: string
    +

    Returns pl.Expr

    +
+
+

sum

+
    + +
  • +

    Get sum value.

    +
    +

    Returns pl.Expr

    +
    +

    Note

    Dtypes in {Int8, UInt8, Int16, UInt16} are cast to Int64 before summing to prevent overflow issues.

    +
+
+

tail

+
+
+

take

+
+
+

takeEvery

+
    + +
  • +

    Take every nth value in the Series and return as a new Series.

    +
    +
    +

    Parameters

    +
      +
    • +
      n: number
    +

    Returns pl.Expr

    +
+
+

toJSON

+
+
+

toString

+
+
+

unique

+
    + +
  • +

    Get the unique values of this expression;

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional maintainOrder: boolean | {
          maintainOrder: boolean;
      }
      +

      Maintain order of data. This requires more work.

      +
      +
    +

    Returns pl.Expr

    +
+
+

upperBound

+
    + +
  • +

    Returns a unit Series with the highest value possible for the dtype of this expression.

    +
    +

    Returns pl.Expr

    +
+
+

var

+
+
+

where

+
+
+

Methods - Rolling

+
+

rollingMax

+
    + +
  • +

    Apply a rolling max (moving max) over the values in this Series.

    +

    A window of length window_size will traverse the series. The values that fill this window +will (optionally) be multiplied with the weights given by the weight vector.

    +

    The resulting parameters' values will be aggregated into their sum.

    +
    +
    +
    +

    Parameters

    +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
    +

    Returns pl.Expr

+
+

rollingMean

+
    + +
  • +

    Apply a rolling mean (moving mean) over the values in this Series.

    +

    A window of length window_size will traverse the series. The values that fill this window +will (optionally) be multiplied with the weights given by the weight vector.

    +

    The resulting parameters' values will be aggregated into their sum.

    +
    +
    +
    +

    Parameters

    +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
    +

    Returns pl.Expr

+
+

rollingMedian

+
    + +
  • +

    Compute a rolling median

    +
    +
    +

    Parameters

    +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
    +

    Returns pl.Expr

+
+

rollingMin

+
    + +
  • +

    Apply a rolling min (moving min) over the values in this Series.

    +

    A window of length window_size will traverse the series. The values that fill this window +will (optionally) be multiplied with the weights given by the weight vector.

    +

    The resulting parameters' values will be aggregated into their sum.

    +
    +
    +
    +

    Parameters

    +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
    +

    Returns pl.Expr

+
+

rollingQuantile

+
    + +
  • +

    Compute a rolling quantile

    +
    +
    +

    Parameters

    +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      quantile: number
      • +
    • +
      Optional interpolation: InterpolationMethod
      • +
    • +
      Optional windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
      • +
    • +
      Optional by: String
      • +
    • +
      Optional closed: ClosedWindow
    +

    Returns pl.Expr

+
+

rollingSkew

+
    + +
  • +

    Compute a rolling skew

    +
    +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      +

      Size of the rolling window

      +
      +
      • +
    • +
      Optional bias: boolean
      +

      If false, then the calculations are corrected for statistical bias.

      +
      +
    +

    Returns pl.Expr

    +
    • + +
  • +

    Compute a rolling skew

    +
    +
    +

    Parameters

    +
    +

    Returns pl.Expr

    +
+
+

rollingStd

+
    + +
  • +

    Compute a rolling std dev

    +

    A window of length window_size will traverse the array. The values that fill this window +will (optionally) be multiplied with the weights given by the weight vector. The resulting +values will be aggregated to their sum.

    +
    +
    +
    +

    Parameters

    +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
    +

    Returns pl.Expr

+
+

rollingSum

+
    + +
  • +

    Apply a rolling sum (moving sum) over the values in this Series.

    +

    A window of length window_size will traverse the series. The values that fill this window +will (optionally) be multiplied with the weights given by the weight vector.

    +

    The resulting parameters' values will be aggregated into their sum.

    +
    +
    +
    +

    Parameters

    +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
    +

    Returns pl.Expr

+
+

rollingVar

+
    + +
  • +

    Compute a rolling variance.

    +

    A window of length window_size will traverse the series. The values that fill this window +will (optionally) be multiplied with the weights given by the weight vector.

    +

    The resulting parameters' values will be aggregated into their sum.

    +
    +
    +
    +

    Parameters

    +
    +

    Returns pl.Expr

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
    +

    Returns pl.Expr

+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/interfaces/pl.LazyDataFrame.html b/interfaces/pl.LazyDataFrame.html new file mode 100644 index 00000000..a5d09443 --- /dev/null +++ b/interfaces/pl.LazyDataFrame.html @@ -0,0 +1,1578 @@ +LazyDataFrame | nodejs-polars
+
+ +
+
+
+
+ +

Interface LazyDataFrame

+
+

Representation of a Lazy computation graph / query.

+
+
+
+

Hierarchy

+
+
+
+
+ +
+
+

Accessors

+
columns +
+
+

Methods

+
[inspect] +cache +clone +collect +collectSync +describeOptimizedPlan +describePlan +distinct +drop +dropNulls +explode +fetch +fetchSync +fillNull +filter +first +groupBy +groupByDynamic +groupByRolling +head +join +joinAsof +last +limit +max +mean +median +melt +min +quantile +rename +reverse +select +serialize +shift +shiftAndFill +slice +sort +std +sum +tail +toJSON +unique +var +withColumn +withColumnRenamed +withColumns +withRowCount +
+
+

Accessors

+
+

columns

+
+
+

Methods

+
+

[inspect]

+
+
+

cache

+
    + +
  • +

    Cache the result once the execution of the physical plan hits this node.

    +
    +

    Returns LazyDataFrame

    +
+
+

clone

+
+
+

collect

+
    + +
  • +

    Collect into a DataFrame. +Note: use fetch if you want to run this query on the first n rows only. +This can be a huge time saver in debugging queries.

    +
    +
    +

    Parameters

    +
    +

    Returns Promise<pl.DataFrame>

    DataFrame

    + +
+
+

collectSync

+
+
+

describeOptimizedPlan

+
    + +
  • +

    A string representation of the optimized query plan.

    +
    +
    +

    Parameters

    +
    +

    Returns string

    +
+
+

describePlan

+
    + +
  • +

    A string representation of the unoptimized query plan.

    +
    +

    Returns string

    +
+
+

distinct

+
    + +
  • +

    Drop duplicate rows from this DataFrame. +Note that this fails if there is a column of type List in the DataFrame.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional maintainOrder: boolean
      +
      • +
    • +
      Optional subset: ColumnSelection
      +

      subset to drop duplicates for

      +
      +
      • +
    • +
      Optional keep: "first" | "last"
      +

      "first" | "last"

      +
      +
    +

    Returns LazyDataFrame

    +
    +

    Deprecated

    +

    Since

    0.4.0

    + +

    Use

    unique

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      opts: {
          keep?: "first" | "last";
          maintainOrder?: boolean;
          subset?: ColumnSelection;
      }
      +
        +
      • +
        Optional keep?: "first" | "last"
        • +
      • +
        Optional maintainOrder?: boolean
        • +
      • +
        Optional subset?: ColumnSelection
    +

    Returns LazyDataFrame

+
+

drop

+
    + +
  • +

    Remove one or multiple columns from a DataFrame.

    +
    +
    +

    Parameters

    +
      +
    • +
      name: string
    +

    Returns LazyDataFrame

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      names: string[]
    +

    Returns LazyDataFrame

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      name: string
      • +
    • +
      Rest ...names: string[]
    +

    Returns LazyDataFrame

+
+

dropNulls

+
    + +
  • +

    Drop rows with null values from this DataFrame. +This method only drops nulls row-wise if any single value of the row is null.

    +
    +
    +

    Parameters

    +
      +
    • +
      column: string
    +

    Returns LazyDataFrame

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      columns: string[]
    +

    Returns LazyDataFrame

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      Rest ...columns: string[]
    +

    Returns LazyDataFrame

+
+

explode

+
    + +
  • +

    Explode lists to long format.

    +
    +
    +

    Parameters

    +
      +
    • +
      column: ExprOrString
    +

    Returns LazyDataFrame

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      columns: ExprOrString[]
    +

    Returns LazyDataFrame

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      column: ExprOrString
      • +
    • +
      Rest ...columns: ExprOrString[]
    +

    Returns LazyDataFrame

+
+

fetch

+
    + +
  • +

    Fetch is like a collect operation, but it overwrites the number of rows read by every scan

    +

    Note that the fetch does not guarantee the final number of rows in the DataFrame. +Filter, join operations and a lower number of rows available in the scanned file influence +the final number of rows.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional numRows: number
      +

      collect 'n' number of rows from data source

      +
      +
    +

    Returns Promise<pl.DataFrame>

    +
    • + +
  • +
    +

    Parameters

    +
    +

    Returns Promise<pl.DataFrame>

+
+

fetchSync

+
+
+

fillNull

+
    + +
  • +

    Fill missing values

    +
    +
    +

    Parameters

    +
      +
    • +
      fillValue: string | number | pl.Expr
      +

      value to fill the missing values with

      +
      +
    +

    Returns LazyDataFrame

    +
+
+

filter

+
    + +
  • +

    Filter the rows in the DataFrame based on a predicate expression.

    +
    +
    +

    Parameters

    +
      +
    • +
      predicate: string | pl.Expr
      +

      Expression that evaluates to a boolean Series.

      +
      +
    +

    Returns LazyDataFrame

    +
    +

    Example

    > lf = pl.DataFrame({
    >   "foo": [1, 2, 3],
    >   "bar": [6, 7, 8],
    >   "ham": ['a', 'b', 'c']
    > }).lazy()
    > // Filter on one condition
    > lf.filter(pl.col("foo").lt(3)).collect()
    shape: (2, 3)
    ┌─────┬─────┬─────┐
    │ foo ┆ bar ┆ ham │
    │ --- ┆ --- ┆ --- │
    │ i64 ┆ i64 ┆ str │
    ╞═════╪═════╪═════╡
    │ 1   ┆ 6   ┆ a   │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 2   ┆ 7   ┆ b   │
    └─────┴─────┴─────┘
+
    +
+
+

first

+
+
+

groupBy

+
+
+

groupByDynamic

+
    + +
  • +

    Groups based on a time value (or index value of type Int32, Int64). Time windows are calculated and rows are assigned to windows. +Different from a normal groupby is that a row can be member of multiple groups. The time/index window could +be seen as a rolling window, with a window size determined by dates/times/values instead of slots in the DataFrame.

    +

    A window is defined by:

    +
      +
    • every: interval of the window
      • +
    • period: length of the window
      • +
    • offset: offset of the window
      • +
    +

    The every, period and offset arguments are created with +the following string language:

    +
      +
    • 1ns (1 nanosecond)
      • +
    • 1us (1 microsecond)
      • +
    • 1ms (1 millisecond)
      • +
    • 1s (1 second)
      • +
    • 1m (1 minute)
      • +
    • 1h (1 hour)
      • +
    • 1d (1 day)
      • +
    • 1w (1 week)
      • +
    • 1mo (1 calendar month)
      • +
    • 1y (1 calendar year)
      • +
    • 1i (1 index count)
      • +
    +

    Or combine them: +"3d12h4m25s" # 3 days, 12 hours, 4 minutes, and 25 seconds

    +

    In case of a groupbyDynamic on an integer column, the windows are defined by:

    +
      +
    • "1i" # length 1
      • +
    • "10i" # length 10
      • +
    +

    Parameters

    +
    +

    Parameters

    +
      +
    • +
      options: {
          by?: ColumnsOrExpr;
          check_sorted?: boolean;
          closed?: "none" | "left" | "right" | "both";
          every: string;
          includeBoundaries?: boolean;
          indexColumn: string;
          offset?: string;
          period?: string;
          start_by: StartBy;
          truncate?: boolean;
      }
      +
        +
      • +
        Optional by?: ColumnsOrExpr
        • +
      • +
        Optional check_sorted?: boolean
        • +
      • +
        Optional closed?: "none" | "left" | "right" | "both"
        • +
      • +
        every: string
        • +
      • +
        Optional includeBoundaries?: boolean
        • +
      • +
        indexColumn: string
        • +
      • +
        Optional offset?: string
        • +
      • +
        Optional period?: string
        • +
      • +
        start_by: StartBy
        • +
      • +
        Optional truncate?: boolean
    +

    Returns LazyGroupBy

    +
+
+

groupByRolling

+
    + +
  • +

    Create rolling groups based on a time column (or index value of type Int32, Int64).

    +

    Different from a rolling groupby the windows are now determined by the individual values and are not of constant +intervals. For constant intervals use groupByDynamic

    +

    The period and offset arguments are created with +the following string language:

    +
      +
    • 1ns (1 nanosecond)
      • +
    • 1us (1 microsecond)
      • +
    • 1ms (1 millisecond)
      • +
    • 1s (1 second)
      • +
    • 1m (1 minute)
      • +
    • 1h (1 hour)
      • +
    • 1d (1 day)
      • +
    • 1w (1 week)
      • +
    • 1mo (1 calendar month)
      • +
    • 1y (1 calendar year)
      • +
    • 1i (1 index count)
      • +
    +

    Or combine them: +"3d12h4m25s" # 3 days, 12 hours, 4 minutes, and 25 seconds

    +

    In case of a groupby_rolling on an integer column, the windows are defined by:

    +
      +
    • "1i" # length 1
      • +
    • "10i" # length 10
      • +
    +
    +
    +

    Parameters

    +
      +
    • +
      opts: {
          by?: ColumnsOrExpr;
          check_sorted?: boolean;
          closed?: "none" | "left" | "right" | "both";
          indexColumn: ColumnsOrExpr;
          offset?: string;
          period: string;
      }
      +
        +
      • +
        Optional by?: ColumnsOrExpr
        • +
      • +
        Optional check_sorted?: boolean
        • +
      • +
        Optional closed?: "none" | "left" | "right" | "both"
        • +
      • +
        indexColumn: ColumnsOrExpr
        • +
      • +
        Optional offset?: string
        • +
      • +
        period: string
    +

    Returns LazyGroupBy

    +
    +

    Example


    >dates = [
    ...     "2020-01-01 13:45:48",
    ...     "2020-01-01 16:42:13",
    ...     "2020-01-01 16:45:09",
    ...     "2020-01-02 18:12:48",
    ...     "2020-01-03 19:45:32",
    ...     "2020-01-08 23:16:43",
    ... ]
    >df = pl.DataFrame({"dt": dates, "a": [3, 7, 5, 9, 2, 1]}).withColumn(
    ...     pl.col("dt").str.strptime(pl.Datetime)
    ... )
    >out = df.groupbyRolling({indexColumn:"dt", period:"2d"}).agg(
    ...     [
    ...         pl.sum("a").alias("sum_a"),
    ...         pl.min("a").alias("min_a"),
    ...         pl.max("a").alias("max_a"),
    ...     ]
    ... )
    >assert(out["sum_a"].toArray() === [3, 10, 15, 24, 11, 1])
    >assert(out["max_a"].toArray() === [3, 7, 7, 9, 9, 1])
    >assert(out["min_a"].toArray() === [3, 3, 3, 3, 2, 1])
    >out
    shape: (6, 4)
    ┌─────────────────────┬───────┬───────┬───────┐
    │ dt                  ┆ a_sum ┆ a_max ┆ a_min │
    │ ---                 ┆ ---   ┆ ---   ┆ ---   │
    │ datetime[ms]        ┆ i64   ┆ i64   ┆ i64   │
    ╞═════════════════════╪═══════╪═══════╪═══════╡
    │ 2020-01-01 13:45:48 ┆ 3     ┆ 3     ┆ 3     │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 2020-01-01 16:42:13 ┆ 10    ┆ 7     ┆ 3     │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 2020-01-01 16:45:09 ┆ 15    ┆ 7     ┆ 3     │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 2020-01-02 18:12:48 ┆ 24    ┆ 9     ┆ 3     │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 2020-01-03 19:45:32 ┆ 11    ┆ 9     ┆ 2     │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 2020-01-08 23:16:43 ┆ 1     ┆ 1     ┆ 1     │
    └─────────────────────┴───────┴───────┴───────┘
+
    +
+
+

head

+
    + +
  • +

    Gets the first n rows of the DataFrame. You probably don't want to use this!

    +

    Consider using the fetch operation. +The fetch operation will truly load the first nrows lazily.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional length: number
    +

    Returns LazyDataFrame

    +
+
+

join

+
    + +
  • +

    SQL like joins.

    +
    +
    +

    Parameters

    +
      +
    • +
      other: LazyDataFrame
      • +
    • +
      joinOptions: {
          on: ValueOrArray<string | pl.Expr>;
      } & LazyJoinOptions
    +

    Returns LazyDataFrame

    +
    +

    See

    LazyJoinOptions

    + +

    Example

    >>> const df = pl.DataFrame({
    >>>     foo: [1, 2, 3],
    >>>     bar: [6.0, 7.0, 8.0],
    >>>     ham: ['a', 'b', 'c'],
    >>>   }).lazy()
    >>>
    >>> const otherDF = pl.DataFrame({
    >>>     apple: ['x', 'y', 'z'],
    >>>     ham: ['a', 'b', 'd'],
    >>>   }).lazy();
    >>> const result = await df.join(otherDF, { on: 'ham', how: 'inner' }).collect();
    shape: (2, 4)
    ╭─────┬─────┬─────┬───────╮
    │ foo ┆ bar ┆ ham ┆ apple │
    │ --- ┆ --- ┆ --- ┆ ---   │
    │ i64 ┆ f64 ┆ str ┆ str   │
    ╞═════╪═════╪═════╪═══════╡
    │ 1   ┆ 6   ┆ "a" ┆ "x"   │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ 2   ┆ 7   ┆ "b" ┆ "y"   │
    ╰─────┴─────┴─────┴───────╯
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      other: LazyDataFrame
      • +
    • +
      joinOptions: {
          leftOn: ValueOrArray<string | pl.Expr>;
          rightOn: ValueOrArray<string | pl.Expr>;
      } & LazyJoinOptions
    +

    Returns LazyDataFrame

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      other: LazyDataFrame
      • +
    • +
      options: {
          allowParallel?: boolean;
          forceParallel?: boolean;
          how: "cross";
          suffix?: string;
      }
      +
        +
      • +
        Optional allowParallel?: boolean
        • +
      • +
        Optional forceParallel?: boolean
        • +
      • +
        how: "cross"
        • +
      • +
        Optional suffix?: string
    +

    Returns LazyDataFrame

+
+

joinAsof

+
    + +
  • +

    Perform an asof join. This is similar to a left-join except that we +match on nearest key rather than equal keys.

    +

    Both DataFrames must be sorted by the asof_join key.

    +

    For each row in the left DataFrame:

    +
      +

    • A "backward" search selects the last row in the right DataFrame whose +'on' key is less than or equal to the left's key.

      +
      • +

    • A "forward" search selects the first row in the right DataFrame whose +'on' key is greater than or equal to the left's key.

      +
      • +
    +

    The default is "backward".

    +

    Parameters

    +
    +

    Parameters

    +
      +
    • +
      other: LazyDataFrame
      +

      DataFrame to join with.

      +
      +
      • +
    • +
      options: {
          allowParallel?: boolean;
          by?: string | string[];
          byLeft?: string | string[];
          byRight?: string | string[];
          forceParallel?: boolean;
          leftOn?: string;
          on?: string;
          rightOn?: string;
          strategy?: "backward" | "forward";
          suffix?: string;
          tolerance?: string | number;
      }
      +
        +
      • +
        Optional allowParallel?: boolean
        +

        Allow the physical plan to optionally evaluate the computation of both DataFrames up to the join in parallel.

        +
        +
        • +
      • +
        Optional by?: string | string[]
        • +
      • +
        Optional byLeft?: string | string[]
        +

        join on these columns before doing asof join

        +
        +
        • +
      • +
        Optional byRight?: string | string[]
        +

        join on these columns before doing asof join

        +
        +
        • +
      • +
        Optional forceParallel?: boolean
        +

        Force the physical plan to evaluate the computation of both DataFrames up to the join in parallel.

        +
        +
        • +
      • +
        Optional leftOn?: string
        +

        Join column of the left DataFrame.

        +
        +
        • +
      • +
        Optional on?: string
        +

        Join column of both DataFrames. If set, leftOn and rightOn should be undefined.

        +
        +
        • +
      • +
        Optional rightOn?: string
        +

        Join column of the right DataFrame.

        +
        +
        • +
      • +
        Optional strategy?: "backward" | "forward"
        +

        One of {'forward', 'backward'}

        +
        +
        • +
      • +
        Optional suffix?: string
        +

        Suffix to append to columns with a duplicate name.

        +
        +
        • +
      • +
        Optional tolerance?: string | number
        +

        Numeric tolerance. By setting this the join will only be done if the near keys are within this distance. + If an asof join is done on columns of dtype "Date", "Datetime" you + use the following string language:

        +
          +
        • 1ns (1 nanosecond)
          • +
        • 1us (1 microsecond)
          • +
        • 1ms (1 millisecond)
          • +
        • 1s (1 second)
          • +
        • 1m (1 minute)
          • +
        • 1h (1 hour)
          • +
        • 1d (1 day)
          • +
        • 1w (1 week)
          • +
        • 1mo (1 calendar month)
          • +
        • 1y (1 calendar year)
          • +
        • 1i (1 index count)
          • +
        +

        Or combine them:

        +
          +
        • "3d12h4m25s" # 3 days, 12 hours, 4 minutes, and 25 seconds
          • +
        +
        +
    +

    Returns LazyDataFrame

    +
    +

    Example

     >const gdp = pl.DataFrame({
     ...   date: [
     ...     new Date('2016-01-01'),
     ...     new Date('2017-01-01'),
     ...     new Date('2018-01-01'),
     ...     new Date('2019-01-01'),
     ...   ],  // note record date: Jan 1st (sorted!)
     ...   gdp: [4164, 4411, 4566, 4696],
     ... })
     >const population = pl.DataFrame({
     ...   date: [
     ...     new Date('2016-05-12'),
     ...     new Date('2017-05-12'),
     ...     new Date('2018-05-12'),
     ...     new Date('2019-05-12'),
     ...   ],  // note record date: May 12th (sorted!)
     ...   "population": [82.19, 82.66, 83.12, 83.52],
     ... })
     >population.joinAsof(
     ...   gdp,
     ...   {leftOn:"date", rightOn:"date", strategy:"backward"}
     ... )
       shape: (4, 3)
       ┌─────────────────────┬────────────┬──────┐
       │ date                ┆ population ┆ gdp  │
       │ ---                 ┆ ---        ┆ ---  │
       │ datetime[μs]        ┆ f64        ┆ i64  │
       ╞═════════════════════╪════════════╪══════╡
       │ 2016-05-12 00:00:00 ┆ 82.19      ┆ 4164 │
       ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌┤
       │ 2017-05-12 00:00:00 ┆ 82.66      ┆ 4411 │
       ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌┤
       │ 2018-05-12 00:00:00 ┆ 83.12      ┆ 4566 │
       ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌┤
       │ 2019-05-12 00:00:00 ┆ 83.52      ┆ 4696 │
       └─────────────────────┴────────────┴──────┘
+
    +
+
+

last

+
    + +
  • +

    Get the last row of the DataFrame.

    +
    +

    Returns LazyDataFrame

    +
+
+

limit

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      Optional n: number
    +

    Returns LazyDataFrame

    +
    +

    See

    head

    +
+
+

max

+
+
+

mean

+
+
+

median

+
+
+

melt

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      idVars: ColumnSelection
      • +
    • +
      valueVars: ColumnSelection
    +

    Returns LazyDataFrame

    +
    +

    See

    melt

    +
+
+

min

+
+
+

quantile

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      quantile: number
    +

    Returns LazyDataFrame

    +
    +

    See

    quantile

    +
+
+

rename

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      mapping: Record<string, string>
    +

    Returns any

    +
    +

    See

    rename

    +
+
+

reverse

+
+
+

select

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      column: ExprOrString
    +

    Returns LazyDataFrame

    +
    +

    See

    select

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      columns: ExprOrString[]
    +

    Returns LazyDataFrame

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      Rest ...columns: ExprOrString[]
    +

    Returns LazyDataFrame

+
+

serialize

+
    + +
  • +

    Serializes object to desired format via serde

    +
    +
    +

    Parameters

    +
    +

    Returns Buffer

    +
+
+

shift

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      periods: number
    +

    Returns LazyDataFrame

    +
    +

    See

    shift

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      opts: {
          periods: number;
      }
      +
        +
      • +
        periods: number
    +

    Returns LazyDataFrame

+
+

shiftAndFill

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      periods: number
      • +
    • +
      fillValue: string | number | pl.Expr
    +

    Returns LazyDataFrame

    +
    +

    See

    shiftAndFill

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      opts: {
          fillValue: string | number | pl.Expr;
          periods: number;
      }
      +
        +
      • +
        fillValue: string | number | pl.Expr
        • +
      • +
        periods: number
    +

    Returns LazyDataFrame

+
+

slice

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      offset: number
      • +
    • +
      length: number
    +

    Returns LazyDataFrame

    +
    +

    See

    slice

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      opts: {
          length: number;
          offset: number;
      }
      +
        +
      • +
        length: number
        • +
      • +
        offset: number
    +

    Returns LazyDataFrame

+
+

sort

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      by: ColumnsOrExpr
      • +
    • +
      Optional descending: ValueOrArray<boolean>
      • +
    • +
      Optional maintain_order: boolean
    +

    Returns LazyDataFrame

    +
    +

    See

    sort

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      opts: {
          by: ColumnsOrExpr;
          descending?: ValueOrArray<boolean>;
          maintain_order?: boolean;
      }
      +
        +
      • +
        by: ColumnsOrExpr
        • +
      • +
        Optional descending?: ValueOrArray<boolean>
        • +
      • +
        Optional maintain_order?: boolean
    +

    Returns LazyDataFrame

+
+

std

+
+
+

sum

+
    + +
  • +

    Aggregate the columns in the DataFrame to their sum value.

    +
    +

    Returns LazyDataFrame

    +
+
+

tail

+
    + +
  • +

    Get the last n rows of the DataFrame.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional length: number
    +

    Returns LazyDataFrame

    +
    +

    See

    tail

    +
+
+

toJSON

+
    + +
  • +

    compatibility with JSON.stringify

    +
    +

    Returns String

    +
+
+

unique

+
    + +
  • +

    Drop duplicate rows from this DataFrame. +Note that this fails if there is a column of type List in the DataFrame.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional maintainOrder: boolean
      +
      • +
    • +
      Optional subset: ColumnSelection
      +

      subset to drop duplicates for

      +
      +
      • +
    • +
      Optional keep: "first" | "last"
      +

      "first" | "last"

      +
      +
    +

    Returns LazyDataFrame

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      opts: {
          keep?: "first" | "last";
          maintainOrder?: boolean;
          subset?: ColumnSelection;
      }
      +
        +
      • +
        Optional keep?: "first" | "last"
        • +
      • +
        Optional maintainOrder?: boolean
        • +
      • +
        Optional subset?: ColumnSelection
    +

    Returns LazyDataFrame

+
+

var

+
    + +
  • +

    Aggregate the columns in the DataFrame to their variance value.

    +
    +

    Returns LazyDataFrame

    +
+
+

withColumn

+
    + +
  • +

    Add or overwrite column in a DataFrame.

    +
    +
    +

    Parameters

    +
      +
    • +
      expr: pl.Expr
      +

      Expression that evaluates to column.

      +
      +
    +

    Returns LazyDataFrame

    +
+
+

withColumnRenamed

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      existing: string
      • +
    • +
      replacement: string
    +

    Returns LazyDataFrame

+
+

withColumns

+
    + +
  • +

    Add or overwrite multiple columns in a DataFrame.

    +
    +
    +

    Parameters

    +
      +
    • +
      exprs: (pl.Expr | pl.Series)[]
      +

      List of Expressions that evaluate to columns.

      +
      +
    +

    Returns LazyDataFrame

    +
    • + +
  • +
    +

    Parameters

    +
    +

    Returns LazyDataFrame

+
+

withRowCount

+
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/interfaces/pl.Series-1.html b/interfaces/pl.Series-1.html new file mode 100644 index 00000000..32992b7b --- /dev/null +++ b/interfaces/pl.Series-1.html @@ -0,0 +1,3361 @@ +Series | nodejs-polars
+
+ +
+
+
+
+ +

Interface Series

+
+

A Series represents a single column in a polars DataFrame.

+
+
+
+

Hierarchy

+
+
+
+
+ +
+
+

Properties

+
date +dtype +lst +name +str +struct +
+
+

Methods - Arithmetic

+
add +div +divideBy +minus +modulo +mul +multiplyBy +plus +rem +sub +
+
+

Methods - Comparison

+
eq +equals +greaterThan +greaterThanEquals +gt +gtEq +lessThan +lessThanEquals +lt +ltEq +neq +notEquals +
+
+

Methods - Cumulative

+
cumCount +cumMax +cumMin +cumProd +cumSum +
+
+

Methods - Math

+
ceil +clip +floor +round +sample +
+
+

Methods - Other

+
[inspect] +[iterator] +abs +alias +append +argMax +argMin +argSort +argTrue +argUnique +as +bitand +bitor +bitxor +cast +chunkLengths +clone +concat +describe +diff +dot +dropNulls +explode +extend +extendConstant +fillNull +filter +get +getIndex +hasValidity +hash +head +inner +interpolate +isBoolean +isDateTime +isDuplicated +isFinite +isFirst +isFloat +isIn +isInfinite +isNotNull +isNull +isNumeric +isUnique +isUtf8 +kurtosis +len +limit +max +mean +median +min +mode +nChunks +nUnique +nullCount +peakMax +peakMin +quantile +rank +rechunk +reinterpret +rename +serialize +seriesEqual +set +setAtIdx +shift +shiftAndFill +shrinkToFit +skew +slice +sort +sum +tail +take +takeEvery +toArray +toFrame +toJSON +toObject +toTypedArray +unique +valueCounts +values +zipWith +
+
+

Methods - Rolling

+
rollingMax +rollingMean +rollingMedian +rollingMin +rollingQuantile +rollingSkew +rollingStd +rollingSum +rollingVar +
+
+

Properties

+
+

date

+
date: SeriesDateFunctions
+
+

dtype

+
dtype: DataType
+
+

lst

+
lst: ListNamespace
+
+

name

+
name: string
+
+

str

+
str: StringNamespace
+
+

struct

+
struct: SeriesStructFunctions
+
+

Methods - Arithmetic

+
+

add

+
+
+

div

+
+
+

divideBy

+
    + +
  • +

    Divide self by other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Series

    +
+
+

minus

+
+
+

modulo

+
    + +
  • +

    Get the remainder of self divided by other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Series

    +
+
+

mul

+
+
+

multiplyBy

+
    + +
  • +

    Multiply self by other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Series

    +
+
+

plus

+
+
+

rem

+
    + +
  • +

    Get the remainder of self divided by other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Series

    +
+
+

sub

+
+
+

Methods - Comparison

+
+

eq

+
    + +
  • +

    Compare self to other: self == other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Series

    +
+
+

equals

+
    + +
  • +

    Compare self to other: self == other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Series

    +
+
+

greaterThan

+
    + +
  • +

    Compare self to other: self > other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Series

    +
+
+

greaterThanEquals

+
    + +
  • +

    Compare self to other: self >= other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Series

    +
+
+

gt

+
    + +
  • +

    Compare self to other: self > other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Series

    +
+
+

gtEq

+
    + +
  • +

    Compare self to other: self >= other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Series

    +
+
+

lessThan

+
    + +
  • +

    Compare self to other: self < other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Series

    +
+
+

lessThanEquals

+
    + +
  • +

    Compare self to other: self =< other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Series

    +
+
+

lt

+
+
+

ltEq

+
    + +
  • +

    Compare self to other: self <= other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Series

    +
+
+

neq

+
    + +
  • +

    Compare self to other: self !== other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Series

    +
+
+

notEquals

+
    + +
  • +

    Compare self to other: self !== other

    +
    +
    +

    Parameters

    +
      +
    • +
      other: any
    +

    Returns pl.Series

    +
+
+

Methods - Cumulative

+
+

cumCount

+
    + +
  • +

    Get an array with the cumulative count computed at every element.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional reverse: boolean
    +

    Returns pl.Series

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          reverse: boolean;
      }
      +
        +
      • +
        reverse: boolean
    +

    Returns pl.Series

+
+

cumMax

+
    + +
  • +

    Get an array with the cumulative max computes at every element.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional reverse: boolean
      +

      reverse the operation

      +
      +
    +

    Returns pl.Series

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 3])
    >  s.cumMax()
    shape: (3,)
    Series: 'b' [i64]
    [
            1
            2
            3
    ]
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          reverse: boolean;
      }
      +
        +
      • +
        reverse: boolean
    +

    Returns pl.Series

+
+

cumMin

+
    + +
  • +

    Get an array with the cumulative min computed at every element.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional reverse: boolean
      +

      reverse the operation

      +
      +
    +

    Returns pl.Series

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 3])
    >  s.cumMin()
    shape: (3,)
    Series: 'b' [i64]
    [
            1
            1
            1
    ]
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          reverse: boolean;
      }
      +
        +
      • +
        reverse: boolean
    +

    Returns pl.Series

+
+

cumProd

+
    + +
  • +

    Get an array with the cumulative product computed at every element.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional reverse: boolean
      +

      reverse the operation

      +
      +
    +

    Returns pl.Series

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 3])
    >  s.cumProd()
    shape: (3,)
    Series: 'b' [i64]
    [
            1
            2
            6
    ]
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          reverse: boolean;
      }
      +
        +
      • +
        reverse: boolean
    +

    Returns pl.Series

+
+

cumSum

+
    + +
  • +

    Get an array with the cumulative sum computed at every element.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional reverse: boolean
      +

      reverse the operation

      +
      +
    +

    Returns pl.Series

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 3])
    >  s.cumSum()
    shape: (3,)
    Series: 'b' [i64]
    [
            1
            3
            6
    ]
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          reverse: boolean;
      }
      +
        +
      • +
        reverse: boolean
    +

    Returns pl.Series

+
+

Methods - Math

+
+

ceil

+
    + +
  • +

    Ceil underlying floating point array to the highest integers smaller or equal to the float value. +Only works on floating point Series

    +
    +

    Returns pl.Series

    +
+
+

clip

+
    + +
  • +

    Clip (limit) the values in an array to any value that fits in 64 floating point range. +Only works for the following dtypes: {Int32, Int64, Float32, Float64, UInt32}. +If you want to clip other dtypes, consider writing a when -> then -> otherwise expression

    +
    +
    +

    Parameters

    +
      +
    • +
      min: number
      +

      Minimum value

      +
      +
      • +
    • +
      max: number
      +

      Maximum value

      +
      +
    +

    Returns pl.Series

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      options: {
          max: number;
          min: number;
      }
      +
        +
      • +
        max: number
        • +
      • +
        min: number
    +

    Returns any

+
+

floor

+
    + +
  • +

    Floor underlying floating point array to the lowest integers smaller or equal to the float value. +Only works on floating point Series

    +
    +

    Returns pl.Series

    +
+
+

round

+
    + +
  • +

    Round underlying floating point data by decimals digits.

    +

    Similar functionality to javascript toFixed

    +
    +
    +

    Parameters

    +
      +
    • +
      decimals: number
      +

      number of decimals to round by.

      +
      +
    +

    Returns pl.Series

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      options: {
          decimals: number;
      }
      +
        +
      • +
        decimals: number
    +

    Returns pl.Series

+
+

sample

+
    + +
  • +

    Sample from this DataFrame by setting either n or frac.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional opts: {
          n: number;
          seed?: number | bigint;
          withReplacement?: boolean;
      }
      +
        +
      • +
        n: number
        • +
      • +
        Optional seed?: number | bigint
        • +
      • +
        Optional withReplacement?: boolean
    +

    Returns pl.Series

    +
    +

    Example

    > df = pl.DataFrame({
    >   "foo": [1, 2, 3],
    >   "bar": [6, 7, 8],
    >   "ham": ['a', 'b', 'c']
    > })
    > df.sample({n: 2})
    shape: (2, 3)
    ╭─────┬─────┬─────╮
    │ foo ┆ bar ┆ ham │
    │ --- ┆ --- ┆ --- │
    │ i64 ┆ i64 ┆ str │
    ╞═════╪═════╪═════╡
    │ 1   ┆ 6   ┆ "a" │
    ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
    │ 3   ┆ 8   ┆ "c" │
    ╰─────┴─────┴─────╯
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      Optional opts: {
          frac: number;
          seed?: number | bigint;
          withReplacement?: boolean;
      }
      +
        +
      • +
        frac: number
        • +
      • +
        Optional seed?: number | bigint
        • +
      • +
        Optional withReplacement?: boolean
    +

    Returns pl.Series

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      Optional n: number
      • +
    • +
      Optional frac: number
      • +
    • +
      Optional withReplacement: boolean
      • +
    • +
      Optional seed: number | bigint
    +

    Returns pl.Series

+
+

Methods - Other

+
+

[inspect]

+
+
+

[iterator]

+
    +
  • [iterator](): IterableIterator<any>
    • +
  • +

    Returns IterableIterator<any>

+
+

abs

+
+
+

alias

+
+
+

append

+
    + +
  • +

    Append a Series to this one.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      other: pl.Series
      +

      Series to append.

      +
      +
    +

    Returns void

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 3])
    >  const s2 = pl.Series("b", [4, 5, 6])
    >  s.append(s2)
    shape: (6,)
    Series: 'a' [i64]
    [
            1
            2
            3
            4
            5
            6
    ]
+
    +
+
+

argMax

+
    + +
  • +

    Get the index of the maximal value.

    +
    +

    Returns Optional<number>

    +
+
+

argMin

+
    + +
  • +

    Get the index of the minimal value.

    +
    +

    Returns Optional<number>

    +
+
+

argSort

+
+
+

argTrue

+
+
+

argUnique

+
+
+

as

+
+
+

bitand

+
+
+

bitor

+
+
+

bitxor

+
+
+

cast

+
+
+

chunkLengths

+
    + +
  • +

    Get the length of each individual chunk

    +
    +

    Returns any[]

    +
+
+

clone

+
+
+

concat

+
+
+

describe

+
    + +
  • +

    __Quick summary statistics of a series. __

    +

    Series with mixed datatypes will return summary statistics for the datatype of the first value.

    +
    +
    +

    Returns pl.DataFrame

    +
    +

    Example

    >  const seriesNum = pl.Series([1,2,3,4,5])
    >  series_num.describe()

    shape: (6, 2)
    ┌──────────────┬────────────────────┐
    │ statistic    ┆ value              │
    │ ---          ┆ ---                │
    │ str          ┆ f64                │
    ╞══════════════╪════════════════════╡
    │ "min"        ┆ 1                  │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ "max"        ┆ 5                  │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ "null_count" ┆ 0.0                │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ "mean"       ┆ 3                  │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ "std"        ┆ 1.5811388300841898 │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
    │ "count"      ┆ 5                  │
    └──────────────┴────────────────────┘

    >  series_str = pl.Series(["a", "a", None, "b", "c"])
    >  series_str.describe()

    shape: (3, 2)
    ┌──────────────┬───────┐
    │ statistic    ┆ value │
    │ ---          ┆ ---   │
    │ str          ┆ i64   │
    ╞══════════════╪═══════╡
    │ "unique"     ┆ 4     │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ "null_count" ┆ 1     │
    ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤
    │ "count"      ┆ 5     │
    └──────────────┴───────┘
+
    +
+
+

diff

+
    + +
  • +

    Calculates the n-th discrete difference.

    +
    +
    +

    Parameters

    +
      +
    • +
      n: number
      +

      number of slots to shift

      +
      +
      • +
    • +
      nullBehavior: "ignore" | "drop"
      +

      'ignore' | 'drop'

      +
      +
    +

    Returns pl.Series

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          n: number;
          nullBehavior: "ignore" | "drop";
      }
      +
        +
      • +
        n: number
        • +
      • +
        nullBehavior: "ignore" | "drop"
    +

    Returns pl.Series

+
+

dot

+
    + +
  • +

    Compute the dot/inner product between two Series

    +
    +
    +
    +

    Parameters

    +
    +

    Returns undefined | null | number

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 3])
    >  const s2 = pl.Series("b", [4.0, 5.0, 6.0])
    >  s.dot(s2)
    32.0
+
    +
+
+

dropNulls

+
+
+

explode

+
    + +
  • +

    Explode a list or utf8 Series.

    +

    This means that every item is expanded to a new row.

    +
    +
    +

    Returns any

    +
    +

    Example

    >  const s = pl.Series('a', [[1, 2], [3, 4], [9, 10]])
    >  s.explode()
    shape: (6,)
    Series: 'a' [i64]
    [
            1
            2
            3
            4
            9
            10
    ]
+
    +
+
+

extend

+
    + +
  • +

    Extend the Series with given number of values.

    +
    +
    +

    Parameters

    +
      +
    • +
      value: any
      +

      The value to extend the Series with. This value may be null to fill with nulls.

      +
      +
      • +
    • +
      n: number
      +

      The number of values to extend.

      +
      +
    +

    Returns pl.Series

    +
    +

    Deprecated

    +

    See

    extendConstant

    +
+
+

extendConstant

+
    + +
  • +

    Extend the Series with given number of values.

    +
    +
    +

    Parameters

    +
      +
    • +
      value: any
      +

      The value to extend the Series with. This value may be null to fill with nulls.

      +
      +
      • +
    • +
      n: number
      +

      The number of values to extend.

      +
      +
    +

    Returns pl.Series

    +
+
+

fillNull

+
    + +
  • +

    Fill null values with a filling strategy.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      strategy: "backward" | "forward" | "mean" | "min" | "max" | "zero" | "one"
      +

      Filling Strategy

      +
      +
    +

    Returns pl.Series

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 3, None])
    >  s.fill_null('forward'))
    shape: (4,)
    Series: '' [i64]
    [
            1
            2
            3
            3
    ]
    >  s.fill_null('min'))
    shape: (4,)
    Series: 'a' [i64]
    [
            1
            2
            3
            1
    ]
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          strategy: "backward" | "forward" | "mean" | "min" | "max" | "zero" | "one";
      }
      +
        +
      • +
        strategy: "backward" | "forward" | "mean" | "min" | "max" | "zero" | "one"
    +

    Returns pl.Series

+
+

filter

+
+
+

get

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      index: number
    +

    Returns any

+
+

getIndex

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      n: number
    +

    Returns any

+
+

hasValidity

+
    + +
  • +

    Returns True if the Series has a validity bitmask. +If there is none, it means that there are no null values.

    +
    +

    Returns boolean

    +
+
+

hash

+
    + +
  • +

    Hash the Series +The hash value is of type UInt64

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional k0: number | bigint
      +

      seed parameter

      +
      +
      • +
    • +
      Optional k1: number | bigint
      +

      seed parameter

      +
      +
      • +
    • +
      Optional k2: number | bigint
      +

      seed parameter

      +
      +
      • +
    • +
      Optional k3: number | bigint
      +

      seed parameter

      +
      +
    +

    Returns pl.Series

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 3])
    >  s.hash(42)
    shape: (3,)
    Series: 'a' [u64]
    [
      7499844439152382372
      821952831504499201
      6685218033491627602
    ]
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          k0?: number | bigint;
          k1?: number | bigint;
          k2?: number | bigint;
          k3?: number | bigint;
      }
      +
        +
      • +
        Optional k0?: number | bigint
        • +
      • +
        Optional k1?: number | bigint
        • +
      • +
        Optional k2?: number | bigint
        • +
      • +
        Optional k3?: number | bigint
    +

    Returns pl.Series

+
+

head

+
    + +
  • +

    Get first N elements as Series.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional length: number
      +

      Length of the head

      +
      +
    +

    Returns pl.Series

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 3])
    >  s.head(2)
    shape: (2,)
    Series: 'a' [i64]
    [
            1
            2
    ]
+
    +
+
+

inner

+
+
+

interpolate

+
    + +
  • +

    Interpolate intermediate values.

    +

    The interpolation method is linear.

    +
    +
    +
    +

    Parameters

    +
    +

    Returns pl.Series

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, None, None, 5])
    >  s.interpolate()
    shape: (5,)
    Series: 'a' [i64]
    [
            1
            2
            3
            4
            5
    ]
+
    +
+
+

isBoolean

+
    + +
  • +

    Check if this Series is a Boolean.

    +
    +

    Returns boolean

    +
+
+

isDateTime

+
    + +
  • +

    Check if this Series is a DataTime.

    +
    +

    Returns boolean

    +
+
+

isDuplicated

+
    + +
  • +

    Get mask of all duplicated values.

    +
    +

    Returns pl.Series

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 2, 3])
    >  s.isDuplicated()

    shape: (4,)
    Series: 'a' [bool]
    [
            false
            true
            true
            false
    ]
+
    +
+
+

isFinite

+
+
+

isFirst

+
+
+

isFloat

+
    + +
  • +

    Check if this Series is a Float.

    +
    +

    Returns boolean

    +
+
+

isIn

+
    + +
  • +

    Check if elements of this Series are in the right Series, or List values of the right Series.

    +
    +
    +

    Type Parameters

    +
      +
    • +

      U

    +
    +

    Parameters

    +
    +

    Returns pl.Series

    +
+
+

isInfinite

+
    + +
  • +

    Get mask of infinite values if Series dtype is Float.

    +
    +

    Returns pl.Series

    +
    +

    Example

    >  const s = pl.Series("a", [1.0, 2.0, 3.0])
    >  s.isInfinite()

    shape: (3,)
    Series: 'a' [bool]
    [
            false
            false
            false
    ]
+
    +
+
+

isNotNull

+
    + +
  • +

    Get mask of non null values.

    +

    undefined values are treated as null

    +
    +
    +

    Returns pl.Series

    +
    +

    Example

    >  const s = pl.Series("a", [1.0, undefined, 2.0, 3.0, null])
    >  s.isNotNull()
    shape: (5,)
    Series: 'a' [bool]
    [
            true
            false
            true
            true
            false
    ]
+
    +
+
+

isNull

+
    + +
  • +

    Get mask of null values.

    +

    undefined values are treated as null

    +
    +
    +

    Returns pl.Series

    +
    +

    Example

    >  const s = pl.Series("a", [1.0, undefined, 2.0, 3.0, null])
    >  s.isNull()
    shape: (5,)
    Series: 'a' [bool]
    [
            false
            true
            false
            false
            true
    ]
+
    +
+
+

isNumeric

+
    + +
  • +

    Check if this Series datatype is numeric.

    +
    +

    Returns boolean

    +
+
+

isUnique

+
    + +
  • +

    Get mask of unique values.

    +
    +
    +

    Returns pl.Series

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 2, 3])
    >  s.isUnique()
    shape: (4,)
    Series: 'a' [bool]
    [
            true
            false
            false
            true
    ]
+
    +
+
+

isUtf8

+
    + +
  • +

    Checks if this Series datatype is a Utf8.

    +
    +

    Returns boolean

    +
+
+

kurtosis

+
    + +
  • +

    Compute the kurtosis (Fisher or Pearson) of a dataset.

    +

    Kurtosis is the fourth central moment divided by the square of the +variance. If Fisher's definition is used, then 3.0 is subtracted from +the result to give 0.0 for a normal distribution. +If bias is False then the kurtosis is calculated using k statistics to +eliminate bias coming from biased moment estimators

    +
    +
    +

    Returns Optional<number>

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      fisher: boolean
      • +
    • +
      Optional bias: boolean
    +

    Returns Optional<number>

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          bias?: boolean;
          fisher?: boolean;
      }
      +
        +
      • +
        Optional bias?: boolean
        • +
      • +
        Optional fisher?: boolean
    +

    Returns Optional<number>

+
+

len

+
    + +
  • +

    Length of this Series.

    +
    +
    +

    Returns number

    +
    +

    Example

    >  const s = pl.Series("a", [1, 2, 3])
    >  s.len()
    3
+
    +
+
+

limit

+
    + +
  • +

    Take n elements from this Series.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional n: number
      +

      Amount of elements to take.

      +
      +
    +

    Returns pl.Series

    +
    +

    See

    head

    + +

    Example

    s = pl.Series("a", [1, 2, 3])
    s.limit(2)
    shape: (2,)
    Series: 'a' [i64]
    [
            1
            2
    ]
+
    +
+
+

max

+
    + +
  • +

    Get the maximum value in this Series.

    +
    +

    Returns number

    +
    +

    Example

    > s = pl.Series("a", [1, 2, 3])
    > s.max()
    3
+
    +
+
+

mean

+
    + +
  • +

    Reduce this Series to the mean value.

    +
    +

    Returns number

    +
    +

    Example

    > s = pl.Series("a", [1, 2, 3])
    > s.mean()
    2
+
    +
+
+

median

+
    + +
  • +

    Get the median of this Series

    +
    +

    Returns number

    +
    +

    Example

    > s = pl.Series("a", [1, 2, 3])
    > s.median()
    2
+
    +
+
+

min

+
    + +
  • +

    Get the minimal value in this Series.

    +
    +

    Returns number

    +
    +

    Example

    > s = pl.Series("a", [1, 2, 3])
    > s.min()
    1
+
    +
+
+

mode

+
    + +
  • +

    Compute the most occurring value(s). Can return multiple Values

    +
    +
    +

    Returns pl.Series

    +
    +

    Example

    s = pl.Series("a", [1, 2, 2, 3])
    s.mode()
    shape: (1,)
    Series: 'a' [i64]
    [
            2
    ]

    s = pl.Series("a", ['a', 'b', 'c', 'c', 'b'])
    s.mode()
    shape: (1,)
    Series: 'a' [str]
    [
            'b'
            'c'
    ]
+
    +
+
+

nChunks

+
    + +
  • +

    Get the number of chunks that this Series contains.

    +
    +

    Returns number

    +
+
+

nUnique

+
    + +
  • +

    Count the number of unique values in this Series.

    +
    +
    +

    Returns number

    +
    +

    Example

    s = pl.Series("a", [1, 2, 2, 3])
    s.nUnique()
    3
+
    +
+
+

nullCount

+
    + +
  • +

    Count the null values in this Series. -- +undefined values are treated as null

    +
    +

    Returns number

    +
+
+

peakMax

+
    + +
  • +

    Get a boolean mask of the local maximum peaks.

    +
    +
    +

    Returns pl.Series

    +
    +

    Example

    s = pl.Series("a", [1, 2, 3, 4, 5])
    s.peakMax()
    shape: (5,)
    Series: '' [bool]
    [
            false
            false
            false
            false
            true
    ]
+
    +
+
+

peakMin

+
    + +
  • +

    Get a boolean mask of the local minimum peaks.

    +
    +
    +

    Returns pl.Series

    +
    +

    Example

    s = pl.Series("a", [4, 1, 3, 2, 5])
    s.peakMin()
    shape: (5,)
    Series: '' [bool]
    [
            false
            true
            false
            true
            false
    ]
+
    +
+
+

quantile

+
    + +
  • +

    Get the quantile value of this Series.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      quantile: number
      +
      • +
    • +
      Optional interpolation: string
    +

    Returns number

    +
    +

    Example

    s = pl.Series("a", [1, 2, 3])
    s.quantile(0.5)
    2
+
    +
+
+

rank

+
    + +
  • +

    Assign ranks to data, dealing with ties appropriately.

    +
    +
    +

    Parameters

    +
      +
    • +
      Optional method: RankMethod
      +

      The method used to assign ranks to tied elements. +The following methods are available: default is 'average'

      +
        +
      • 'average': The average of the ranks that would have been assigned to + all the tied values is assigned to each value.
        • +
      • 'min': The minimum of the ranks that would have been assigned to all +the tied values is assigned to each value. This is also +referred to as "competition" ranking.
        • +
      • 'max': The maximum of the ranks that would have been assigned to all +the tied values is assigned to each value.
        • +
      • 'dense': Like 'min', but the rank of the next highest element is +assigned the rank immediately after those assigned to the tied +elements.
        • +
      • 'ordinal': All values are given a distinct rank, corresponding to +the order that the values occur in a.
        • +
      • 'random': Like 'ordinal', but the rank for ties is not dependent +on the order that the values occur in a.
        • +
      +
      +
    +

    Returns pl.Series

    +
+
+

rechunk

+
+
+

reinterpret

+
    + +
  • +

    Reinterpret the underlying bits as a signed/unsigned integer.

    +

    This operation is only allowed for 64bit integers. For lower bits integers, +you can safely use that cast operation.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional signed: boolean
      +

      signed or unsigned

      +
        +
      • True -> pl.Int64
        • +
      • False -> pl.UInt64
        • +
      +
      +
    +

    Returns pl.Series

    +
    +

    See

    cast

    +
+
+

rename

+
    + +
  • +

    Rename this Series.

    +
    +
    +

    Parameters

    +
      +
    • +
      name: string
      +

      new name

      +
      +
    +

    Returns pl.Series

    +
    +

    See

    alias

    + +

    Example

    s = pl.Series("a", [1, 2, 3])
    s.rename('b')
    shape: (3,)
    Series: 'b' [i64]
    [
            1
            2
            3
    ]
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      name: string
      • +
    • +
      inPlace: boolean
    +

    Returns void

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          inPlace?: boolean;
          name: string;
      }
      +
        +
      • +
        Optional inPlace?: boolean
        • +
      • +
        name: string
    +

    Returns void

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      __namedParameters: {
          inPlace: true;
          name: string;
      }
      +
        +
      • +
        inPlace: true
        • +
      • +
        name: string
    +

    Returns void

+
+

serialize

+
    + +
  • +

    Serializes object to desired format via serde

    +
    +
    +

    Parameters

    +
    +

    Returns Buffer

    +
+
+

seriesEqual

+
    + +
  • +

    Check if series is equal with another Series.

    +
    +
    +

    Type Parameters

    +
      +
    • +

      U

    +
    +

    Parameters

    +
      +
    • +
      other: pl.Series
      +

      Series to compare with.

      +
      +
      • +
    • +
      Optional nullEqual: boolean
      +

      Consider null values as equal. ('undefined' is treated as null)

      +
      +
      +
      • +
    • +
      Optional strict: boolean
    +

    Returns boolean

    +
    +

    Example

    s = pl.Series("a", [1, 2, 3])
    s2 = pl.Series("b", [4, 5, 6])
    s.series_equal(s)
    true
    s.series_equal(s2)
    false
+
    +
+
+

set

+
    + +
  • +

    Set masked values

    +
    +
    +

    Parameters

    +
      +
    • +
      filter: pl.Series
      +

      Boolean mask

      +
      +
      • +
    • +
      value: any
      +

      value to replace masked values with

      +
      +
    +

    Returns pl.Series

    +
+
+

setAtIdx

+
    + +
  • +
    +

    Parameters

    +
      +
    • +
      indices: number[] | pl.Series
      • +
    • +
      value: any
    +

    Returns void

+
+

shift

+
    + +
  • +

    Shift the values by a given period

    +

    the parts that will be empty due to this operation will be filled with null.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      periods: number
      +

      Number of places to shift (may be negative).

      +
      +
    +

    Returns pl.Series

    +
    +

    Example

    s = pl.Series("a", [1, 2, 3])
    s.shift(1)
    shape: (3,)
    Series: 'a' [i64]
    [
            null
            1
            2
    ]
    s.shift(-1)
    shape: (3,)
    Series: 'a' [i64]
    [
            2
            3
            null
    ]
+
    +
+
+

shiftAndFill

+
    + +
  • +

    Shift the values by a given period

    +

    the parts that will be empty due to this operation will be filled with fillValue.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      periods: number
      +

      Number of places to shift (may be negative).

      +
      +
      • +
    • +
      fillValue: any
      +

      Fill null & undefined values with the result of this expression.

      +
      +
    +

    Returns pl.Series

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      args: {
          fillValue: any;
          periods: number;
      }
      +
        +
      • +
        fillValue: any
        • +
      • +
        periods: number
    +

    Returns pl.Series

+
+

shrinkToFit

+
    + +
  • +

    Shrink memory usage of this Series to fit the exact capacity needed to hold the data.

    +
    +

    Returns pl.Series

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      inPlace: true
    +

    Returns void

+
+

skew

+
    + +
  • +

    Compute the sample skewness of a data set.

    +

    For normally distributed data, the skewness should be about zero. For +unimodal continuous distributions, a skewness value greater than zero means +that there is more weight in the right tail of the distribution. The +function skewtest can be used to determine if the skewness value +is close enough to zero, statistically speaking.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional bias: boolean
      +

      If false, then the calculations are corrected for statistical bias.

      +
      +
    +

    Returns undefined | number

    +
+
+

slice

+
    + +
  • +

    Create subslices of the Series.

    +
    +
    +

    Parameters

    +
      +
    • +
      start: number
      • +
    • +
      Optional length: number
      +

      length of the slice.

      +
      +
    +

    Returns pl.Series

    +
+
+

sort

+
    + +
  • +

    Sort this Series.

    +
    +

    Returns pl.Series

    +
    +

    Example

    s = pl.Series("a", [1, 3, 4, 2])
    s.sort()
    shape: (4,)
    Series: 'a' [i64]
    [
            1
            2
            3
            4
    ]
    s.sort(true)
    shape: (4,)
    Series: 'a' [i64]
    [
            4
            3
            2
            1
    ]
+
    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      Optional reverse: boolean
    +

    Returns pl.Series

    • + +
  • +
    +

    Parameters

    +
      +
    • +
      options: {
          reverse: boolean;
      }
      +
        +
      • +
        reverse: boolean
    +

    Returns pl.Series

+
+

sum

+
    + +
  • +

    Reduce this Series to the sum value.

    +
    +

    Returns number

    +
    +

    Example

    > s = pl.Series("a", [1, 2, 3])
    > s.sum()
    6
+
    +
+
+

tail

+
    + +
  • +

    Get last N elements as Series.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional length: number
      +

      Length of the tail

      +
      +
    +

    Returns pl.Series

    +
    +

    See

    head

    + +

    Example

    s = pl.Series("a", [1, 2, 3])
    s.tail(2)
    shape: (2,)
    Series: 'a' [i64]
    [
            2
            3
    ]
+
    +
+
+

take

+
    + +
  • +

    Take values by index.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      indices: number[]
      +

      Index location used for the selection

      +
      +
    +

    Returns pl.Series

    +
    +

    Example

    s = pl.Series("a", [1, 2, 3, 4])
    s.take([1, 3])
    shape: (2,)
    Series: 'a' [i64]
    [
            2
            4
    ]
+
    +
+
+

takeEvery

+
    + +
  • +

    Take every nth value in the Series and return as new Series.

    +
    +
    +

    Parameters

    +
      +
    • +
      n: number
      +

      nth value to take

      +
      +
    +

    Returns pl.Series

    +
    +

    Example

    s = pl.Series("a", [1, 2, 3, 4])
    s.takeEvery(2))
    shape: (2,)
    Series: '' [i64]
    [
            1
            3
    ]
+
    +
+
+

toArray

+
    + +
  • +

    Convert this Series to a Javascript Array.

    +

    This operation clones data, and is very slow, but maintains greater precision for all dtypes. +Often times series.toObject().values is faster, but less precise

    +
    +
    +

    Returns any[]

    +
    +

    Example

    const s = pl.Series("a", [1, 2, 3])
    const arr = s.toArray()
    [1, 2, 3]
    Array.isArray(arr)
    true
+
    +
+
+

toFrame

+
+
+

toJSON

+
    + +
  • +

    compat with `JSON.stringify

    +
    +

    Returns string

    +
+
+

toObject

+
    + +
  • +

    Returns a Javascript object representation of Series +Often this is much faster than the iterator, or values method

    +
    +

    Returns {
        datatype: string;
        name: string;
        values: any[];
    }

    +
      +
    • +
      datatype: string
      • +
    • +
      name: string
      • +
    • +
      values: any[]
    +
    +

    Example

    const s = pl.Series("foo", [1,2,3])
    s.toObject()
    {
      name: "foo",
      datatype: "Float64",
      values: [1,2,3]
    }
+
    +
+
+

toTypedArray

+
    + +
  • +

    Converts series to a javascript typedArray.

    +

    Warning: +This will throw an error if you have nulls, or are using non numeric data types

    +
    +

    Returns any

    +
+
+

unique

+
    + +
  • +

    Get unique elements in series.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      Optional maintainOrder: boolean | {
          maintainOrder: boolean;
      }
      +

      Maintain order of data. This requires more work.

      +
      +
    +

    Returns pl.Series

    +
    +

    Example

    s = pl.Series("a", [1, 2, 2, 3])
    s.unique()
    shape: (3,)
    Series: 'a' [i64]
    [
            1
            2
            3
    ]
+
    +
+
+

valueCounts

+
    + +
  • +

    Count the unique values in a Series.

    +
    +
    +

    Returns pl.DataFrame

    +
    +

    Example

    s = pl.Series("a", [1, 2, 2, 3])
    s.valueCounts()
    shape: (3, 2)
    ╭─────┬────────╮
    │ a   ┆ counts │
    │ --- ┆ ---    │
    │ i64 ┆ u32    │
    ╞═════╪════════╡
    │ 2   ┆ 2      │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌┤
    │ 1   ┆ 1      │
    ├╌╌╌╌╌┼╌╌╌╌╌╌╌╌┤
    │ 3   ┆ 1      │
    ╰─────┴────────╯
+
    +
+
+

values

+
    + +
  • +

    Returns an iterator over the values

    +
    +

    Returns IterableIterator<any>

    +
+
+

zipWith

+
    + +
  • +

    Where mask evaluates true, take values from self.

    +

    Where mask evaluates false, take values from other.

    +
    +
    +
    +

    Parameters

    +
      +
    • +
      mask: pl.Series
      +

      Boolean Series

      +
      +
      • +
    • +
      other: pl.Series
      +

      Series of same type

      +
      +
    +

    Returns pl.Series

    +
+
+

Methods - Rolling

+
+

rollingMax

+
    + +
  • +

    Apply a rolling max (moving max) over the values in this Series.

    +

    A window of length window_size will traverse the series. The values that fill this window +will (optionally) be multiplied with the weights given by the weight vector.

    +

    The resulting parameters' values will be aggregated into their sum.

    +
    +
    +
    +

    Parameters

    +
    +

    Returns pl.Series

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
    +

    Returns pl.Series

+
+

rollingMean

+
    + +
  • +

    Apply a rolling mean (moving mean) over the values in this Series.

    +

    A window of length window_size will traverse the series. The values that fill this window +will (optionally) be multiplied with the weights given by the weight vector.

    +

    The resulting parameters' values will be aggregated into their sum.

    +
    +
    +
    +

    Parameters

    +
    +

    Returns pl.Series

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
    +

    Returns pl.Series

+
+

rollingMedian

+
    + +
  • +

    Compute a rolling median

    +
    +
    +

    Parameters

    +
    +

    Returns pl.Series

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
    +

    Returns pl.Series

+
+

rollingMin

+
    + +
  • +

    Apply a rolling min (moving min) over the values in this Series.

    +

    A window of length window_size will traverse the series. The values that fill this window +will (optionally) be multiplied with the weights given by the weight vector.

    +

    The resulting parameters' values will be aggregated into their sum.

    +
    +
    +
    +

    Parameters

    +
    +

    Returns pl.Series

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
    +

    Returns pl.Series

+
+

rollingQuantile

+
    + +
  • +

    Compute a rolling quantile

    +
    +
    +

    Parameters

    +
    +

    Returns pl.Series

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      quantile: number
      • +
    • +
      Optional interpolation: InterpolationMethod
      • +
    • +
      Optional windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
      • +
    • +
      Optional by: String
      • +
    • +
      Optional closed: ClosedWindow
    +

    Returns pl.Series

+
+

rollingSkew

+
    + +
  • +

    Compute a rolling skew

    +
    +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      +

      Size of the rolling window

      +
      +
      • +
    • +
      Optional bias: boolean
      +

      If false, then the calculations are corrected for statistical bias.

      +
      +
    +

    Returns pl.Series

    +
    • + +
  • +

    Compute a rolling skew

    +
    +
    +

    Parameters

    +
    +

    Returns pl.Series

    +
+
+

rollingStd

+
    + +
  • +

    Compute a rolling std dev

    +

    A window of length window_size will traverse the array. The values that fill this window +will (optionally) be multiplied with the weights given by the weight vector. The resulting +values will be aggregated to their sum.

    +
    +
    +
    +

    Parameters

    +
    +

    Returns pl.Series

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
    +

    Returns pl.Series

+
+

rollingSum

+
    + +
  • +

    Apply a rolling sum (moving sum) over the values in this Series.

    +

    A window of length window_size will traverse the series. The values that fill this window +will (optionally) be multiplied with the weights given by the weight vector.

    +

    The resulting parameters' values will be aggregated into their sum.

    +
    +
    +
    +

    Parameters

    +
    +

    Returns pl.Series

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
    +

    Returns pl.Series

+
+

rollingVar

+
    + +
  • +

    Compute a rolling variance.

    +

    A window of length window_size will traverse the series. The values that fill this window +will (optionally) be multiplied with the weights given by the weight vector.

    +

    The resulting parameters' values will be aggregated into their sum.

    +
    +
    +
    +

    Parameters

    +
    +

    Returns pl.Series

    +
    • + +
  • +
    +

    Parameters

    +
      +
    • +
      windowSize: number
      • +
    • +
      Optional weights: number[]
      • +
    • +
      Optional minPeriods: number[]
      • +
    • +
      Optional center: boolean
    +

    Returns pl.Series

+
+
+
+
+

Settings

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+
+

Member Visibility

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Theme

+
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On This Page

 +
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Generated using TypeDoc

+
\ No newline at end of file diff --git a/modules.html b/modules.html new file mode 100644 index 00000000..c06700d0 --- /dev/null +++ b/modules.html @@ -0,0 +1,397 @@ +nodejs-polars
+
+ +
+
+
+
+

nodejs-polars

+
+
+
+ +
+
+

References

+
DataFrame +Expr +Field +Series +argSortBy +avg +col +cols +concat +concatList +concatString +count +cov +default +element +exclude +first +format +groups +head +intRange +last +list +lit +mean +median +nUnique +pearsonCorr +quantile +readAvro +readCSV +readCSVStream +readIPC +readJSON +readJSONStream +readParquet +readRecords +repeat +scanCSV +scanIPC +scanJson +scanParquet +select +spearmanRankCorr +struct +tail +when +
+
+

Namespaces

+
DataType +pl +
+
+

Enumerations

+
TimeUnit +
+
+

Classes

+
DataType +
+
+

Interfaces - Options

+
RollingOptions +RollingQuantileOptions +RollingSkewOptions +WriteAvroOptions +WriteCsvOptions +WriteIPCOptions +WriteJsonOptions +WriteParquetOptions +
+
+

Interfaces - Other

+
ConcatOptions +DataFrameConstructor +ExprConstructor +GroupBy +JoinOptions +JsonScanOptions +LazyDataFrameConstructor +LazyJoinOptions +ReadAvroOptions +ReadCsvOptions +ReadIPCOptions +ReadJsonOptions +ReadParquetOptions +RowCount +ScanCsvOptions +ScanIPCOptions +ScanParquetOptions +StringNamespace +StructNamespace +When +WhenThen +WhenThenThen +
+
+

Interfaces - lazy

+
LazyGroupBy +
+
+

Type Aliases

+
ClosedWindow +DatetimeNamespace +DownsampleRule +FillNullStrategy +InterpolationMethod +JoinType +LazyOptions +ListNamespace +RankMethod +
+
+

Functions

+
_Series +all +
+
+

References

+
+

DataFrame

Re-exports DataFrame
+
+

Expr

Re-exports Expr
+
+

Field

Re-exports Field
+
+

Series

Re-exports Series
+
+

argSortBy

Re-exports argSortBy
+
+

avg

Re-exports avg
+
+

col

Re-exports col
+
+

cols

Re-exports cols
+
+

concat

Re-exports concat
+
+

concatList

Re-exports concatList
+
+

concatString

Re-exports concatString
+
+

count

Re-exports count
+
+

cov

Re-exports cov
+
+

default

Renames and re-exports pl
+
+

element

Re-exports element
+
+

exclude

Re-exports exclude
+
+

first

Re-exports first
+
+

format

Re-exports format
+
+

groups

Re-exports groups
+
+

head

Re-exports head
+
+

intRange

Re-exports intRange
+
+

last

Re-exports last
+
+

list

Re-exports list
+
+

lit

Re-exports lit
+
+

mean

Re-exports mean
+
+

median

Re-exports median
+
+

nUnique

Re-exports nUnique
+
+

pearsonCorr

Re-exports pearsonCorr
+
+

quantile

Re-exports quantile
+
+

readAvro

Re-exports readAvro
+
+

readCSV

Re-exports readCSV
+
+

readCSVStream

Re-exports readCSVStream
+
+

readIPC

Re-exports readIPC
+
+

readJSON

Re-exports readJSON
+
+

readJSONStream

Re-exports readJSONStream
+
+

readParquet

Re-exports readParquet
+
+

readRecords

Re-exports readRecords
+
+

repeat

Re-exports repeat
+
+

scanCSV

Re-exports scanCSV
+
+

scanIPC

Re-exports scanIPC
+
+

scanJson

Re-exports scanJson
+
+

scanParquet

Re-exports scanParquet
+
+

select

Re-exports select
+
+

spearmanRankCorr

Re-exports spearmanRankCorr
+
+

struct

Re-exports struct
+
+

tail

Re-exports tail
+
+

when

Re-exports when
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

Theme

+
+

On This Page

 +
+
+
+
+
+

Generated using TypeDoc

+
\ No newline at end of file diff --git a/modules/DataType-1.html b/modules/DataType-1.html new file mode 100644 index 00000000..3be11d56 --- /dev/null +++ b/modules/DataType-1.html @@ -0,0 +1,247 @@ +DataType | nodejs-polars
+
+ +
+
+
+
+ +

Namespace DataType

+
+

Datatype namespace

+
+
+
+
+
+ +
+
+

References

+
Bool +Categorical +Date +Datetime +Float32 +Float64 +Int16 +Int32 +Int64 +Int8 +List +Null +Struct +UInt16 +UInt32 +UInt64 +UInt8 +Utf8 +
+
+

Functions

+
deserialize +
+
+

References

+
+

Bool

Re-exports Bool
+
+

Categorical

Re-exports Categorical
+
+

Date

Re-exports Date
+
+

Datetime

Re-exports Datetime
+
+

Float32

Re-exports Float32
+
+

Float64

Re-exports Float64
+
+

Int16

Re-exports Int16
+
+

Int32

Re-exports Int32
+
+

Int64

Re-exports Int64
+
+

Int8

Re-exports Int8
+
+

List

Re-exports List
+
+

Null

Re-exports Null
+
+

Struct

Re-exports Struct
+
+

UInt16

Re-exports UInt16
+
+

UInt32

Re-exports UInt32
+
+

UInt64

Re-exports UInt64
+
+

UInt8

Re-exports UInt8
+
+

Utf8

Re-exports Utf8
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
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Theme

+
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 +
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+
\ No newline at end of file diff --git a/modules/pl.Field-1.html b/modules/pl.Field-1.html new file mode 100644 index 00000000..4e56e6ff --- /dev/null +++ b/modules/pl.Field-1.html @@ -0,0 +1,242 @@ +Field | nodejs-polars
+
+ +
+
+
+
+ +

Namespace Field

+
+
+

Index

+
+

Functions

+
from +
+
+
+
+
+

Settings

 +
+
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\ No newline at end of file diff --git a/modules/pl.html b/modules/pl.html new file mode 100644 index 00000000..4ed2ad51 --- /dev/null +++ b/modules/pl.html @@ -0,0 +1,556 @@ +pl | nodejs-polars
+
+ +
+
+
+
+ +

Namespace pl

+
+
+
+ +
+
+

Namespaces

+
Field +
+
+

Classes

+
Field +
+
+

Interfaces

+
Config +DataFrame +Expr +LazyDataFrame +Series +
+
+

Type Aliases

+
Bool +Categorical +Date +Datetime +Float32 +Float64 +Int16 +Int32 +Int64 +Int8 +LazyGroupBy +List +Null +Struct +UInt16 +UInt32 +UInt64 +UInt8 +Utf8 +When +WhenThen +WhenThenThen +
+
+

Variables

+
Expr +version +
+
+

Functions

+
DataFrame +Datetime +List +Series +Struct +argSortBy +avg +col +cols +concat +concatList +concatString +count +cov +element +exclude +first +format +groups +head +intRange +last +list +lit +mean +median +nUnique +pearsonCorr +quantile +readAvro +readCSV +readCSVStream +readIPC +readJSON +readJSONStream +readParquet +readRecords +repeat +scanCSV +scanIPC +scanJson +scanParquet +select +spearmanRankCorr +struct +tail +when +
+
+

Accessors

+
Bool +Categorical +Date +Float32 +Float64 +Int16 +Int32 +Int64 +Int8 +Null +Object +Time +UInt16 +UInt32 +UInt64 +UInt8 +Utf8 +
+
+

Accessors

+
+

Bool

+
+
+

Categorical

+
+
+

Date

+
+
+

Float32

+
+
+

Float64

+
+
+

Int16

+
+
+

Int32

+
+
+

Int64

+
+
+

Int8

+
+
+

Null

+
+
+

Object

+
+
+

Time

+
+
+

UInt16

+
+
+

UInt32

+
+
+

UInt64

+
+
+

UInt8

+
+
+

Utf8

+
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
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+
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On This Page

 +
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+
\ No newline at end of file diff --git a/types/ClosedWindow.html b/types/ClosedWindow.html new file mode 100644 index 00000000..e155a461 --- /dev/null +++ b/types/ClosedWindow.html @@ -0,0 +1,134 @@ +ClosedWindow | nodejs-polars
+
+ +
+
+
+
+ +

Type alias ClosedWindow

+
ClosedWindow: "None" | "Both" | "Left" | "Right"
+

ClosedWindow types

+
+
+
+
+
+
+

Settings

 +
+
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+
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+
\ No newline at end of file diff --git a/types/DatetimeNamespace.html b/types/DatetimeNamespace.html new file mode 100644 index 00000000..e77a6939 --- /dev/null +++ b/types/DatetimeNamespace.html @@ -0,0 +1,134 @@ +DatetimeNamespace | nodejs-polars
+
+ +
+
+
+
+ +

Type alias DatetimeNamespace

+
DatetimeNamespace: DateFunctions<pl.Expr>
+

DateTime functions

+
+
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

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+
+
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+
\ No newline at end of file diff --git a/types/DownsampleRule.html b/types/DownsampleRule.html new file mode 100644 index 00000000..cdc0a473 --- /dev/null +++ b/types/DownsampleRule.html @@ -0,0 +1,134 @@ +DownsampleRule | nodejs-polars
+
+ +
+
+
+
+ +

Type alias DownsampleRule

+
DownsampleRule: "month" | "week" | "day" | "hour" | "minute" | "second"
+

Downsample rules

+
+
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
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+
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+
\ No newline at end of file diff --git a/types/FillNullStrategy.html b/types/FillNullStrategy.html new file mode 100644 index 00000000..466cd1c1 --- /dev/null +++ b/types/FillNullStrategy.html @@ -0,0 +1,134 @@ +FillNullStrategy | nodejs-polars
+
+ +
+
+
+
+ +

Type alias FillNullStrategy

+
FillNullStrategy: "backward" | "forward" | "mean" | "min" | "max" | "zero" | "one"
+

Fill null strategies

+
+
+
+
+
+
+

Settings

 +
+
+

Member Visibility

+
    +
+
+

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+
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+
\ No newline at end of file diff --git a/types/InterpolationMethod.html b/types/InterpolationMethod.html new file mode 100644 index 00000000..a1c14f09 --- /dev/null +++ b/types/InterpolationMethod.html @@ -0,0 +1,134 @@ +InterpolationMethod | nodejs-polars
+
+ +
+
+
+
+ +

Type alias InterpolationMethod

+
InterpolationMethod: "nearest" | "higher" | "lower" | "midpoint" | "linear"
+

Interpolation types

+
+
+
+
+
+
+

Settings

 +
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\ No newline at end of file diff --git a/types/JoinType.html b/types/JoinType.html new file mode 100644 index 00000000..75b444cc --- /dev/null +++ b/types/JoinType.html @@ -0,0 +1,134 @@ +JoinType | nodejs-polars
+
+ +
+
+
+
+ +

Type alias JoinType

+
JoinType: "left" | "inner" | "outer" | "semi" | "anti" | "cross"
+

Join types

+
+
+
+
+
+
+

Settings

 +
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+
\ No newline at end of file diff --git a/types/LazyOptions.html b/types/LazyOptions.html new file mode 100644 index 00000000..be0b5f5e --- /dev/null +++ b/types/LazyOptions.html @@ -0,0 +1,151 @@ +LazyOptions | nodejs-polars
+
+ +
+
+
+
+ +

Type alias LazyOptions

+
LazyOptions: {
    noOptimization?: boolean;
    predicatePushdown?: boolean;
    projectionPushdown?: boolean;
    simplifyExpression?: boolean;
    stringCache?: boolean;
    typeCoercion?: boolean;
}
+

options for lazy operations

+
+
+

Type declaration

+
    +
  • +
    Optional noOptimization?: boolean
    • +
  • +
    Optional predicatePushdown?: boolean
    • +
  • +
    Optional projectionPushdown?: boolean
    • +
  • +
    Optional simplifyExpression?: boolean
    • +
  • +
    Optional stringCache?: boolean
    • +
  • +
    Optional typeCoercion?: boolean
+
+

See

LazyDataFrame.collect

+
+
+
+
+
+

Settings

 +
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\ No newline at end of file diff --git a/types/ListNamespace.html b/types/ListNamespace.html new file mode 100644 index 00000000..55a277f2 --- /dev/null +++ b/types/ListNamespace.html @@ -0,0 +1,134 @@ +ListNamespace | nodejs-polars
+
+ +
+
+
+
+ +

Type alias ListNamespace

+
ListNamespace: ListFunctions<pl.Expr>
+

namespace containing expr list functions

+
+
+
+
+
+
+

Settings

 +
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\ No newline at end of file diff --git a/types/RankMethod.html b/types/RankMethod.html new file mode 100644 index 00000000..9c110124 --- /dev/null +++ b/types/RankMethod.html @@ -0,0 +1,134 @@ +RankMethod | nodejs-polars
+
+ +
+
+
+
+ +

Type alias RankMethod

+
RankMethod: "average" | "min" | "max" | "dense" | "ordinal" | "random"
+

Rank methods

+
+
+
+
+
+
+

Settings

 +
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\ No newline at end of file diff --git a/types/pl.Bool.html b/types/pl.Bool.html new file mode 100644 index 00000000..ee272be1 --- /dev/null +++ b/types/pl.Bool.html @@ -0,0 +1,234 @@ +Bool | nodejs-polars
+
+ +
+
+
+
+ +

Type alias Bool

+
Bool: _Bool
+

Boolean

+
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+
+
+
+

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 +
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\ No newline at end of file diff --git a/types/pl.Categorical.html b/types/pl.Categorical.html new file mode 100644 index 00000000..ad57b76a --- /dev/null +++ b/types/pl.Categorical.html @@ -0,0 +1,234 @@ +Categorical | nodejs-polars
+
+ +
+
+
+
+ +

Type alias Categorical

+
Categorical: _Categorical
+

Categorical

+
+
+
+
+
+
+

Settings

 +
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\ No newline at end of file diff --git a/types/pl.Date.html b/types/pl.Date.html new file mode 100644 index 00000000..8520b2ef --- /dev/null +++ b/types/pl.Date.html @@ -0,0 +1,234 @@ +Date | nodejs-polars
+
+ +
+
+
+
+ +

Type alias Date

+
Date: _Date
+

Date dtype

+
+
+
+
+
+
+

Settings

 +
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\ No newline at end of file diff --git a/types/pl.Datetime.html b/types/pl.Datetime.html new file mode 100644 index 00000000..e497ac0f --- /dev/null +++ b/types/pl.Datetime.html @@ -0,0 +1,236 @@ +Datetime | nodejs-polars
+
+ +
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Type alias Datetime

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Datetime: _Datetime
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Datetime

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Type alias Float32

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Float32: _Float32
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Float32

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Type alias Float64

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Float64: _Float64
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Float64

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Type alias Int16

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Int16: _Int16
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Int16

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Type alias Int32

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Int32: _Int32
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Int32

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Type alias Int64

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Int64: _Int64
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Int64

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Type alias Int8

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Int8: _Int8
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Int8

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Type alias LazyGroupBy

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LazyGroupBy: LazyGroupBy
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\ No newline at end of file diff --git a/types/pl.List.html b/types/pl.List.html new file mode 100644 index 00000000..f1377117 --- /dev/null +++ b/types/pl.List.html @@ -0,0 +1,234 @@ +List | nodejs-polars
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Type alias List

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List: _List
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List

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\ No newline at end of file diff --git a/types/pl.Null.html b/types/pl.Null.html new file mode 100644 index 00000000..4d5f0284 --- /dev/null +++ b/types/pl.Null.html @@ -0,0 +1,234 @@ +Null | nodejs-polars
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Type alias Null

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Null: _Null
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Null

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\ No newline at end of file diff --git a/types/pl.Struct.html b/types/pl.Struct.html new file mode 100644 index 00000000..4bf24d43 --- /dev/null +++ b/types/pl.Struct.html @@ -0,0 +1,236 @@ +Struct | nodejs-polars
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Type alias Struct

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Struct: _Struct
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Struct

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\ No newline at end of file diff --git a/types/pl.UInt16.html b/types/pl.UInt16.html new file mode 100644 index 00000000..38ff28c5 --- /dev/null +++ b/types/pl.UInt16.html @@ -0,0 +1,234 @@ +UInt16 | nodejs-polars
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Type alias UInt16

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UInt16: _UInt16
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UInt16

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Type alias UInt32

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UInt32: _UInt32
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UInt32

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\ No newline at end of file diff --git a/types/pl.UInt64.html b/types/pl.UInt64.html new file mode 100644 index 00000000..e5cdf1d9 --- /dev/null +++ b/types/pl.UInt64.html @@ -0,0 +1,234 @@ +UInt64 | nodejs-polars
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Type alias UInt64

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UInt64: _UInt64
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UInt64

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\ No newline at end of file diff --git a/types/pl.UInt8.html b/types/pl.UInt8.html new file mode 100644 index 00000000..8db1b801 --- /dev/null +++ b/types/pl.UInt8.html @@ -0,0 +1,234 @@ +UInt8 | nodejs-polars
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Type alias UInt8

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UInt8: _UInt8
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UInt8

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\ No newline at end of file diff --git a/types/pl.Utf8.html b/types/pl.Utf8.html new file mode 100644 index 00000000..3376f0c7 --- /dev/null +++ b/types/pl.Utf8.html @@ -0,0 +1,234 @@ +Utf8 | nodejs-polars
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Type alias Utf8

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Utf8: _Utf8
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Utf8

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\ No newline at end of file diff --git a/types/pl.When.html b/types/pl.When.html new file mode 100644 index 00000000..9734bdb8 --- /dev/null +++ b/types/pl.When.html @@ -0,0 +1,230 @@ +When | nodejs-polars
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Type alias When

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When: When
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\ No newline at end of file diff --git a/types/pl.WhenThen.html b/types/pl.WhenThen.html new file mode 100644 index 00000000..151d0666 --- /dev/null +++ b/types/pl.WhenThen.html @@ -0,0 +1,230 @@ +WhenThen | nodejs-polars
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Type alias WhenThen

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WhenThen: WhenThen
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\ No newline at end of file diff --git a/types/pl.WhenThenThen.html b/types/pl.WhenThenThen.html new file mode 100644 index 00000000..0ce75817 --- /dev/null +++ b/types/pl.WhenThenThen.html @@ -0,0 +1,230 @@ +WhenThenThen | nodejs-polars
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Type alias WhenThenThen

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WhenThenThen: WhenThenThen
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\ No newline at end of file diff --git a/variables/pl.Expr.html b/variables/pl.Expr.html new file mode 100644 index 00000000..7dcc93c0 --- /dev/null +++ b/variables/pl.Expr.html @@ -0,0 +1,231 @@ +Expr | nodejs-polars
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Variable Expr

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Expr: ExprConstructor
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\ No newline at end of file diff --git a/variables/pl.version.html b/variables/pl.version.html new file mode 100644 index 00000000..abe04ca0 --- /dev/null +++ b/variables/pl.version.html @@ -0,0 +1,230 @@ +version | nodejs-polars
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Variable versionConst

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version: any = ...
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