From 5eae0cc5e58224b2ac97a50bcbca47515786d8e2 Mon Sep 17 00:00:00 2001 From: Joel Ostblom Date: Tue, 27 Aug 2024 09:43:39 -0700 Subject: [PATCH 1/2] Remove ecosystem viz section since there is one in misc already It seems redundant to have this in two places. If this section is linked to from many external places the section could remain but just have a link to the Misc part of the docs. --- docs/user-guide/ecosystem.md | 22 ---------------------- 1 file changed, 22 deletions(-) diff --git a/docs/user-guide/ecosystem.md b/docs/user-guide/ecosystem.md index 21f1dbc2ba60..2b7a5a555d0a 100644 --- a/docs/user-guide/ecosystem.md +++ b/docs/user-guide/ecosystem.md @@ -18,28 +18,6 @@ On this page you can find a non-exhaustive list of libraries and tools that supp [Apache Arrow](https://arrow.apache.org/) enables zero-copy reads of data within the same process, meaning that data can be directly accessed in its in-memory format without the need for copying or serialisation. This enhances performance when integrating with different tools using Apache Arrow. Polars is compatible with a wide range of libraries that also make use of Apache Arrow, like Pandas and DuckDB. -### Data visualisation - -#### hvPlot - -[hvPlot](https://hvplot.holoviz.org/) is available as the default plotting backend for Polars making it simple to create interactive and static visualisations. You can use hvPlot by using the feature flag `plot` during installing. - -```python -pip install 'polars[plot]' -``` - -#### Matplotlib - -[Matplotlib](https://matplotlib.org/) is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. - -#### Plotly - -[Plotly](https://plotly.com/python/) is an interactive, open-source, and browser-based graphing library for Python. Built on top of plotly.js, it ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. - -#### [Seaborn](https://seaborn.pydata.org/) - -Seaborn is a Python data visualization library based on Matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. - ### IO #### Delta Lake From 8dc6fde1ebb8f0937681f5552fcce324110ef5cf Mon Sep 17 00:00:00 2001 From: Joel Ostblom Date: Sun, 8 Sep 2024 09:37:11 -0700 Subject: [PATCH 2/2] Add link to new viz section --- docs/user-guide/ecosystem.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/docs/user-guide/ecosystem.md b/docs/user-guide/ecosystem.md index 2b7a5a555d0a..967eec51d209 100644 --- a/docs/user-guide/ecosystem.md +++ b/docs/user-guide/ecosystem.md @@ -18,6 +18,10 @@ On this page you can find a non-exhaustive list of libraries and tools that supp [Apache Arrow](https://arrow.apache.org/) enables zero-copy reads of data within the same process, meaning that data can be directly accessed in its in-memory format without the need for copying or serialisation. This enhances performance when integrating with different tools using Apache Arrow. Polars is compatible with a wide range of libraries that also make use of Apache Arrow, like Pandas and DuckDB. +### Data visualisation + +See the [dedicated visualization section](misc/visualization.md). + ### IO #### Delta Lake