Metadata-Version: 1.0
Name: DensityPlot
Version: 0.1.7
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
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.
        
Platform: UNKNOWN
