Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

https://github.com/yhat/ggpy

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

Last synced: about 1 month ago
JSON representation

ggplot port for python

Lists

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)*.