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updated args in v0.0.9
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lshpaner committed Sep 17, 2024
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25 changes: 17 additions & 8 deletions docs/_sources/changelog.rst.txt
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Expand Up @@ -35,20 +35,29 @@ Improved error messages and validation checks across multiple functions to preve

**Visualization Enhancements**

DataFrame Columns: Added a ``background_color`` variable to ``dataframe_columns```, allowing the user to enter a string representing a color name, or hex value. Try/Except on the output, in case the end user has a deprecated version of Pandas, where the styler would use `hide()` instead of `hide_index()`. The highlighted columns allow for easier null versus unique value analysis.
DataFrame Columns: Added a ``background_color`` variable to ``dataframe_columns```,
allowing the user to enter a string representing a color name, or hex value.
Try/Except on the output, in case the end user has a deprecated version of Pandas,
where the styler would use ``hide()`` instead of ``hide_index()``. The highlighted
columns allow for easier null versus unique value analysis.

The docstring now clearly describes the purpose of the function—analyzing DataFrame columns to provide summary statistics.
The docstring now clearly describes the purpose of the function—analyzing
DataFrame columns to provide summary statistics.

Args:
- The ``df`` argument is specified as a ``pandas.DataFrame``.
- The ``background_color`` argument is marked as optional, with a brief description of its role.
- The ``return_df`` argument is also marked as optional, explaining what it controls.

Returns: The return type is specified as ``pandas.DataFrame``, with a clear explanation of the difference based on the ``return_df`` flag.
- The ``df`` argument is specified as a ``pandas.DataFrame``.

KDE Distribution Plots: Improved ``kde_distributions()`` with enhanced options for log scaling, mean/median plotting, custom standard deviation lines, and better handling of legends and scientific notation.
- The ``background_color`` argument is marked as optional, with a brief description of its role.

Scatter Plots: Enhanced ``scatter_fit_plot()`` with support for hue-based coloring, best fit lines, correlation display, and flexible grid plotting options.
- The ``return_df`` argument is also marked as optional, explaining what it controls.


Returns: The return type is specified as ``pandas.DataFrame``, with a clear explanation of the difference based on the ``return_df`` flag.

KDE Distribution Plots: Improved ``kde_distributions()`` with enhanced options for log scaling, mean/median plotting, custom standard deviation lines, and better handling of legends and scientific notation.

Scatter Plots: Enhanced ``scatter_fit_plot()`` with support for hue-based coloring, best fit lines, correlation display, and flexible grid plotting options.


`Version 0.0.8`_
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19 changes: 13 additions & 6 deletions docs/changelog.html
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Expand Up @@ -130,12 +130,19 @@ <h2><a class="reference external" href="./v0.0.9/index.html">Version 0.0.9</a><a
<p><strong>Bug Fixes and Minor Improvements</strong></p>
<p>Improved error messages and validation checks across multiple functions to prevent common pitfalls and ensure smoother user experience.</p>
<p><strong>Visualization Enhancements</strong></p>
<p>DataFrame Columns: Added a <code class="docutils literal notranslate"><span class="pre">background_color</span></code> variable to <code class="docutils literal notranslate"><span class="pre">dataframe_columns`</span></code>, allowing the user to enter a string representing a color name, or hex value. Try/Except on the output, in case the end user has a deprecated version of Pandas, where the styler would use <cite>hide()</cite> instead of <cite>hide_index()</cite>. The highlighted columns allow for easier null versus unique value analysis.</p>
<p>The docstring now clearly describes the purpose of the function—analyzing DataFrame columns to provide summary statistics.</p>
<p>Args:
- The <code class="docutils literal notranslate"><span class="pre">df</span></code> argument is specified as a <code class="docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code>.
- The <code class="docutils literal notranslate"><span class="pre">background_color</span></code> argument is marked as optional, with a brief description of its role.
- The <code class="docutils literal notranslate"><span class="pre">return_df</span></code> argument is also marked as optional, explaining what it controls.</p>
<p>DataFrame Columns: Added a <code class="docutils literal notranslate"><span class="pre">background_color</span></code> variable to <code class="docutils literal notranslate"><span class="pre">dataframe_columns`</span></code>,
allowing the user to enter a string representing a color name, or hex value.
Try/Except on the output, in case the end user has a deprecated version of Pandas,
where the styler would use <code class="docutils literal notranslate"><span class="pre">hide()</span></code> instead of <code class="docutils literal notranslate"><span class="pre">hide_index()</span></code>. The highlighted
columns allow for easier null versus unique value analysis.</p>
<p>The docstring now clearly describes the purpose of the function—analyzing
DataFrame columns to provide summary statistics.</p>
<p>Args:</p>
<ul class="simple">
<li><p>The <code class="docutils literal notranslate"><span class="pre">df</span></code> argument is specified as a <code class="docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code>.</p></li>
<li><p>The <code class="docutils literal notranslate"><span class="pre">background_color</span></code> argument is marked as optional, with a brief description of its role.</p></li>
<li><p>The <code class="docutils literal notranslate"><span class="pre">return_df</span></code> argument is also marked as optional, explaining what it controls.</p></li>
</ul>
<p>Returns: The return type is specified as <code class="docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code>, with a clear explanation of the difference based on the <code class="docutils literal notranslate"><span class="pre">return_df</span></code> flag.</p>
<p>KDE Distribution Plots: Improved <code class="docutils literal notranslate"><span class="pre">kde_distributions()</span></code> with enhanced options for log scaling, mean/median plotting, custom standard deviation lines, and better handling of legends and scientific notation.</p>
<p>Scatter Plots: Enhanced <code class="docutils literal notranslate"><span class="pre">scatter_fit_plot()</span></code> with support for hue-based coloring, best fit lines, correlation display, and flexible grid plotting options.</p>
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