pycrosstalker.plots.plot_cci

pycrosstalker.plots.plot_cci(graph, colors, plt_name, coords, pg, emax=None, leg=False, low=25, high=75, ignore_alpha=False, log=False, efactor=8, vfactor=12, vnames=True, figsize=None, scale_factor=2, node_size=2, font_size=10, return_figure=False)

This function does a CCI plot

Parameters

graph :

Paths of single condition LR data

colors :

Cell type (Cluster) Colors

plt_name :

Plot Name (Title)

coords :

object coordinates

emax :

Max MeanLR across the all inputs, if its not defined, the method going to consider the max find within a sample

leg :

Set color legend

low :

Lower threshold: This parameter low and high defines the edges

high :

Higher threshould which will be filtered. Edges within the interval [low,high] are filtered.

ignore_alpha :

Not include transparency on the plot edges

log :

Logscale the interactions

efactor :

Edge scale factor

vfactor :

Certex scale factor

vnames :

Remove vertex labels

pg :

Pagerank values

figsize:

Set matplotlib figsize

return_figure:

Option for return matplotlib figure axes

Returns

Python default plot