Metadata-Version: 2.1
Name: interplot
Version: 0.1
Summary: Create matplotlib/plotly hybrid plots with a few lines of code.
Home-page: https://github.com/janjoch/interplot
Author: Janosch Jörg
Author-email: janjo@duck.com
License: GPL v3
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
License-File: LICENCE.txt
Requires-Dist: numba
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: plotly
Requires-Dist: kaleido
Requires-Dist: scipy
Requires-Dist: xarray

# interplot
Create `matplotlib/plotly` hybrid plots with a few lines of code.

It combines the best of the `matplotlib` and the `plotly` worlds through
a unified, flat API.
All the necessary boilerplate code is contained in this module.

Currently supported:

- line plots (scatter)
- line fills
- histograms
- heatmaps
- boxplot
- linear regression
- text annotations
- 2D subplots
- color cycling


## Resources

- **Documentation:** https://interplot.janjo.ch
- **Source Code:** https://github.com/janjoch/interplot
- **PyPI:** https://pypi.org/project/interplot/


## Licence
[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)


## Demo

View on `NBViewer`:
[![NBViewer](https://raw.githubusercontent.com/jupyter/design/master/logos/Badges/nbviewer_badge.svg)](https://nbviewer.org/github/janjoch/interplot/tree/main/)


Try on `Binder`:
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/janjoch/interplot/HEAD)


## Install
```pip install interplot```


### dev installation
1. ```git clone https://github.com/janjoch/interplot```
2. ```cd interplot```
2. ```pip install -e .```
