@@ -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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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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