Sankey diagram

This visualization function can be launched from class DigitalCellSorter at the stage of post-processing.

From submodule VisualizationFunctions:

class VisualizationFunctions(dataName='dataName', saveDir='', matplotlibMode='Agg', safePlotting=True, verbose=1)

Class of visualization functions for DigitalCellSorter

makeSankeyDiagram(*args, **kwargs)

Make a Sankey diagram, also known as ‘river plot’ with two groups of nodes

Parameters:

df: pandas.DataFrame

With counts (overlaps)

colormapForIndex: dictionary, Default None

Colors to use for nodes specified in the DataFrame index

colormapForColumns: dictionary, Default None

Colors to use for nodes specified in the DataFrame columns

linksColor: str, Default ‘rgba(100,100,100,0.6)’

Color of the non-overlapping links

title: str, Default ‘’

Title to print on the diagram

interactive: boolean , Default False

Whether to launch interactive JavaScript-based graph

quality: int, Default 4

Proportional to the resolution of the figure to save

nodeLabelsFontSize: int, Default 15

Font size for node labels

nameAppend: str, Default ‘_Sankey_diagram’

Name to append to the figure file

Returns:

None

Usage:

DCS = DigitalCellSorter.DigitalCellSorter()

DCS.makeSankeyDiagram(df)

Example output: