Metadata-Version: 2.1
Name: wdplot
Version: 0.0.1
Summary: Various plotting tools on top of matplotlib.
Home-page: https://github.com/wdobbels/wdplot
Author: Wouter Dobbels
Author-email: dobbelswouter@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

WDPlot is a plotting library on top of matplotlib. The library places special
importance on avoiding overplotting in scatterplots. The following functions
can help to solve this problem:

- `wdplot.prep.estimate_density`: does a kernel density estimate, alowing for a scatter plot colored by density.
- `wdplot.bivariate.hexbin`: does a hexbin plot, where the transparency denotes density. Coloring can be a third variable or also density.
- `wdplot.bivariate.hist2d`: same as above, but with a 2D hist (square bins)
- `wdplot.prep.sliding_window`: does a sliding window estimate of a (x, y)-relation
- `wdplot.bivariate.scatter_trendline`: makes a scatter-plot with a sliding window trendline on top

# Install

Using pip:
`python -m pip install wdplot`

# Current state

This package is mostly a collection of plot functions I tend to reuse during my research. There's no tests, and no guarantees for a stable API. Of course, contributions are welcome, but since the code was written for myself, there is much left to be desired regarding clean code and documentation.

