From f806f74d8689b332be1d3389511dbb543c3e3fb6 Mon Sep 17 00:00:00 2001 From: Artem Glebov Date: Thu, 22 Jun 2023 11:16:39 +0100 Subject: [PATCH] Fix typos in Transformations / Pivot and Time Series --- docs/user-guide/transformations/pivot.md | 2 +- docs/user-guide/transformations/time-series/rolling.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/user-guide/transformations/pivot.md b/docs/user-guide/transformations/pivot.md index 98ba91bba..7435227c0 100644 --- a/docs/user-guide/transformations/pivot.md +++ b/docs/user-guide/transformations/pivot.md @@ -34,7 +34,7 @@ aggregation. ## Lazy -A polars `LazyFrame` always need to no the schema of a computation statically (before collecting the query). +A polars `LazyFrame` always need to know the schema of a computation statically (before collecting the query). As a pivot's output schema depends on the data, and it is therefore impossible to determine the schema without running the query. diff --git a/docs/user-guide/transformations/time-series/rolling.md b/docs/user-guide/transformations/time-series/rolling.md index 76f6d05ae..dfeb5d4e4 100644 --- a/docs/user-guide/transformations/time-series/rolling.md +++ b/docs/user-guide/transformations/time-series/rolling.md @@ -121,7 +121,7 @@ The rolling groupby, `groupby_rolling`, is another entrance to the `groupby` con not fixed by a parameter `every` and `period`. In a rolling groupby the windows are not fixed at all! They are determined by the values in the `index_column`. -So imagine having a time column with the values `{2021-01-06, 20210-01-10}` and a `period="5d"` this would create the following +So imagine having a time column with the values `{2021-01-06, 2021-01-10}` and a `period="5d"` this would create the following windows: ```text