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DOC: Replace ggpy with plotnine in ecosystem #31097

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DOC: Replace ggpy with plotnine in ecosystem #31097

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#31087 Replace ggpy with plotnine
hvardhan20 Jan 17, 2020
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#31087 Replace ggpy with plotnine changes
hvardhan20 Jan 17, 2020
f7fc6fb
#31087 Replace ggpy with plotnine changes trail space fix
hvardhan20 Jan 17, 2020
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10 changes: 4 additions & 6 deletions doc/source/ecosystem.rst
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Expand Up @@ -112,16 +112,14 @@ also goes beyond matplotlib and 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.

`yhat/ggpy <https://github.com/yhat/ggpy>`__
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
`plotnine <https://github.com/has2k1/plotnine/>`__
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Hadley Wickham's `ggplot2 <https://ggplot2.tidyverse.org/>`__ is a foundational exploratory visualization package for the R language.
Based on `"The Grammar of Graphics" <https://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html>`__ it
provides a powerful, declarative and extremely general way to generate bespoke plots of any kind of data.
It's really quite incredible. Various implementations to other languages are available,
but a faithful implementation for Python users has long been missing. Although still young
(as of Jan-2014), the `yhat/ggpy <https://github.com/yhat/ggpy>`__ project has been
progressing quickly in that direction.
Various implementations to other languages are available.
A good implementation for Python users is `has2k1/plotnine <https://github.com/has2k1/plotnine/>`__.

`IPython Vega <https://github.com/vega/ipyvega>`__
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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11 changes: 4 additions & 7 deletions web/pandas/community/ecosystem.md
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Expand Up @@ -84,19 +84,16 @@ 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.

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

Hadley Wickham's [ggplot2](https://ggplot2.tidyverse.org/) is a
foundational exploratory visualization package for the R language. Based
on ["The Grammar of
Graphics"](https://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html)
it provides a powerful, declarative and extremely general way to
generate bespoke plots of any kind of data. It's really quite
incredible. Various implementations to other languages are available,
but a faithful implementation for Python users has long been missing.
Although still young (as of Jan-2014), the
[yhat/ggpy](https://github.com/yhat/ggpy) project has been progressing
quickly in that direction.
generate bespoke plots of any kind of data.
Various implementations to other languages are available.
A good implementation for Python users is [has2k1/plotnine](https://github.com/has2k1/plotnine/).

### [IPython Vega](https://github.com/vega/ipyvega)

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