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pandas-dev#31087 Replace ggpy with plotnine
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doc/source/ecosystem.rst

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@@ -112,16 +112,16 @@ also goes beyond matplotlib and pandas with the option to perform statistical
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estimation while plotting, aggregating across observations and visualizing the
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fit of statistical models to emphasize patterns in a dataset.
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`yhat/ggpy <https://github.com/yhat/ggpy>`__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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`has2k1/plotnine <https://github.com/has2k1/plotnine/>`__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Hadley Wickham's `ggplot2 <https://ggplot2.tidyverse.org/>`__ is a foundational exploratory visualization package for the R language.
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Based on `"The Grammar of Graphics" <https://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html>`__ it
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provides a powerful, declarative and extremely general way to generate bespoke plots of any kind of data.
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It's really quite incredible. Various implementations to other languages are available,
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but a faithful implementation for Python users has long been missing. Although still young
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(as of Jan-2014), the `yhat/ggpy <https://github.com/yhat/ggpy>`__ project has been
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progressing quickly in that direction.
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It's really quite incredible. Various implementations to other languages are available.
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A good implementation for Python users is `has2k1/plotnine <https://github.com/has2k1/plotnine/>`__,
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which started as an effort to improve the scaling functionality in
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`yhat/ggpy <https://github.com/yhat/ggpy>`__ formally known as "ggplot for python".
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`IPython Vega <https://github.com/vega/ipyvega>`__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

web/pandas/community/ecosystem.md

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aggregating across observations and visualizing the fit of statistical
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models to emphasize patterns in a dataset.
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### [yhat/ggpy](https://github.com/yhat/ggpy)
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### [has2k1/plotnine](https://github.com/has2k1/plotnine/)
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Hadley Wickham's [ggplot2](https://ggplot2.tidyverse.org/) is a
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foundational exploratory visualization package for the R language. Based
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on ["The Grammar of
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Graphics"](https://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html)
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it provides a powerful, declarative and extremely general way to
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generate bespoke plots of any kind of data. It's really quite
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incredible. Various implementations to other languages are available,
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but a faithful implementation for Python users has long been missing.
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Although still young (as of Jan-2014), the
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[yhat/ggpy](https://github.com/yhat/ggpy) project has been progressing
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quickly in that direction.
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incredible. Various implementations to other languages are available.
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A good implementation for Python users is [has2k1/plotnine](https://github.com/has2k1/plotnine/),
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which started as an effort to improve the scaling functionality in
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[yhat/ggpy](https://github.com/yhat/ggpy) formally known as "ggplot for python".
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### [IPython Vega](https://github.com/vega/ipyvega)
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