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A simple density plotting tool for FACS-like data.

Project description

<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.

Project details


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