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DOC: ecosystem.md: add pygwalker, add seaborn code example #57990

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19 changes: 19 additions & 0 deletions web/pandas/community/ecosystem.md
Original file line number Diff line number Diff line change
Expand Up @@ -82,6 +82,20 @@ pd.set_option("plotting.backend", "pandas_bokeh")
It is very similar to the matplotlib plotting backend, but provides
interactive web-based charts and maps.

### [pygwalker](https://github.com/Kanaries/pygwalker)

PyGWalker is an interactive data visualization and
exploratory data analysis tool built upon Graphic Walker
with support for visualization, cleaning, and annotation workflows.

pygwalker can save interactively created charts
to Graphic-Walker and Vega-Lite JSON.

```
import pygwalker as pyg
pyg.walk(df)
```

### [seaborn](https://seaborn.pydata.org)

Seaborn is a Python visualization library based on
Expand All @@ -94,6 +108,11 @@ pandas with the option to perform statistical estimation while plotting,
aggregating across observations and visualizing the fit of statistical
models to emphasize patterns in a dataset.

```
import seaborn as sns
sns.set_theme()
```

### [plotnine](https://github.com/has2k1/plotnine/)

Hadley Wickham's [ggplot2](https://ggplot2.tidyverse.org/) is a
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