ggplot
What is it?
ggplot is a Python implementation of the grammar of graphics. It is not intended to be a feature-for-feature port of `ggplot2 for R <https://github.com/hadley/ggplot2>`__–though there is much greatness in ggplot2, the Python world could stand to benefit from it. So there will be feature overlap, but not neccessarily mimicry (after all, R is a little weird).
You can do cool things like this:
ggplot(diamonds, aes(x='price', color='clarity')) + \
geom_density() + \
scale_color_brewer(type='div', palette=7) + \
facet_wrap('cut')
Installation
$ pip install -U ggplot
# or
$ conda install -c conda-forge ggplot
# or
pip install git+https://github.com/yhat/ggplot.gitExamples
Examples are the best way to learn. There is a Jupyter Notebook full of them. There are also notebooks that show how to do particular things with ggplot (i.e. make a scatter plot or make a histogram).
What happened to the old version that didn’t work?
It’s gone–the windows, the doors, everything. Just kidding, you can find it here, though I’m not sure why you’d want to look at it. The data grouping and manipulation bits were re-written (so they actually worked) with things like facets in mind.
Contributing
Thanks to all of the ggplot contributors! See `contributing.md <./contributing.md>`__.
1 maintainer
Metadata
1 maintainer
Release files for ggplot 0.11.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ggplot-0.11.5.tar.gz | 1.9 MB | Without provenance | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ggplot-0.11.5-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
| ggplot-0.11.5-py2.7.egg | Legacy Egg format | - | - | Details |
Total release size: 6.5 MB
Release files / ggplot-0.11.5.tar.gz
| Download URL | ggplot-0.11.5.tar.gz |
|---|---|
| Size | 1.9 MB |
| Tags | Source |
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| Size | 2.2 MB |
| Tags | Python 2 Python 3 |
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Release files / ggplot-0.11.5-py2.7.egg
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| Size | 2.3 MB |
| Tags | Egg |
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