Metadata-Version: 2.1
Name: DensityPlot
Version: 0.1.8
Summary: A simple density plotting tool for FACS-like data.
Home-page: https://github.com/xuesoso/DensityPlot
Author: YSX
Author-email: xuesoso@gmail.com
License: LICENSE
Platform: UNKNOWN
Requires-Dist: scipy (>=0.14.0)
Requires-Dist: matplotlib (>=2.0.0)

<img src="examples/Example_scatter.png" width="220"/> <img src="examples/Example_scatter_biexp.png" width="220"/> <img src="examples/Example_contour.png" width="250"/> 

<img src="examples/mouse_cell_density_atlas.png" width="500"/> 

# DensityPlot
-------------------

A simple and standalone python plotting package for density and scatter plotting commonly used in FACS analysis.

This package was modified from [FlowCal](https://github.com/taborlab/FlowCal) package.

Check [here](https://nbviewer.jupyter.org/github/xuesoso/DensityPlot/blob/master/tutorial.ipynb) for a tutorial on usage.

Pip installation
-------------------
```bash
pip install DensityPlot
```

Requirement
-------------------
scipy >= 0.14.0

matplotlib >= 2.0.0


Modes available
---------------
scatter : A scatterplot colored by the data density. Dense regions are merged into bins. Sparse region is represented by as single dots.

mesh : 2D-histogram colored by the data density in the region

scatter_mesh : 2D-histogram with original data values plotted as dots.

contour : A contour map of the data density. Recommend setting ```smooth``` option as True.


