pandas-dev#31087 Replace ggpy with plotnine changes

Author: hvardhan20

doc/source/ecosystem.rst

@@ -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.
 
-`has2k1/plotnine <https://github.com/has2k1/plotnine/>`__
+`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.
-A good implementation for Python users is `has2k1/plotnine <https://github.com/has2k1/plotnine/>`__,
-which started as an effort to improve the scaling functionality in
-`yhat/ggpy <https://github.com/yhat/ggpy>`__ formally known as "ggplot for python".
+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>`__
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

web/pandas/community/ecosystem.md

@@ -84,18 +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.
 
-### [has2k1/plotnine](https://github.com/has2k1/plotnine/)
+### [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.
-A good implementation for Python users is [has2k1/plotnine](https://github.com/has2k1/plotnine/),
-which started as an effort to improve the scaling functionality in
-[yhat/ggpy](https://github.com/yhat/ggpy) formally known as "ggplot for python".
+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)