https://github.com/yhat/ggpy

ggplot port for python
https://github.com/yhat/ggpy

Last synced: 7 days ago
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ggplot port for python

• Host: GitHub
• URL: https://github.com/yhat/ggpy
• Owner: yhat
• License: bsd-2-clause
• Created: 2013-10-07T13:30:53.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2023-01-21T20:19:13.000Z (almost 2 years ago)
• Last Synced: 2024-10-29T15:33:20.445Z (about 1 month ago)
• Language: Python
• Homepage: http://yhat.github.io/ggpy/
• Size: 177 MB
• Stars: 3,700
• Watchers: 125
• Forks: 573
• Open Issues: 180
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.txt
  • Contributing: contributing.md
  • License: LICENSE

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README

        
# 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:

```python

ggplot(diamonds, aes(x='price', color='clarity')) + \

    geom_density() + \

    scale_color_brewer(type='div', palette=7) + \

    facet_wrap('cut')

```

![](./docs/example.png)

### Installation

```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)*.