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lines changed Original file line number Diff line number Diff line change @@ -112,16 +112,14 @@ 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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+ `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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+ 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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`IPython Vega <https://github.com/vega/ipyvega >`__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Original file line number Diff line number Diff line change @@ -84,19 +84,16 @@ pandas with the option to perform statistical estimation while plotting,
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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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+ ### [ 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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+ generate bespoke plots of any kind of data.
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+ 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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### [ IPython Vega] ( https://github.com/vega/ipyvega )
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