This example shows how to visualize a matrix of gene expression data saved as a tab-separated-file (e.g. rc_two_cats.txt) using the Clustergrammer interactive widget (see the Clustergrammer Jupyter Widget Documentation for more information).
# import widget classes and instantiate Network instance
from clustergrammer_widget import *
net = Network(clustergrammer_widget)
import ipywidgets
ipywidgets.__version__
import widgetsnbextension
widgetsnbextension.__version__
# load matrix file
net.load_file('rc_two_cats.txt')
# cluster using default parameters
net.cluster(enrichrgram=True)
# make interactive widget
net.widget()