ggplot (0.11.5)
Published 2026-02-24 14:10:18 +00:00 by atheaadmin
Installation
pip install --index-url About this package
ggplot for python
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:
.. code:: python
ggplot(diamonds, aes(x='price', color='clarity')) + \
geom_density() + \
scale_color_brewer(type='div', palette=7) + \
facet_wrap('cut')
.. figure:: ./docs/example.png
:alt:
Installation
.. code:: bash
$ pip install -U ggplot
# or
$ conda install -c conda-forge ggplot
# or
pip install git+https://github.com/yhat/ggplot.git
Examples
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 <./docs/how-to/Making%20a%20Scatter%20Plot.ipynb>`__ or `make a
histogram <./docs/how-to/Making%20a%20Scatter%20Plot.ipynb>`__).
- `docs <./docs>`__
- `gallery <./docs/Gallery.ipynb>`__
- `various examples <./examples.md>`__
What happened to the old version that didn't work?
It's gone--the windows, the doors,
everything <https://www.youtube.com/watch?v=YuxCKv_0GZc>. Just
kidding, you can find it here <https://github.com/yhat/ggplot/tree/v0.6.6>, 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 <./contributors.md#contributors>`__! See
*`contributing.md <./contributing.md>`__*.