Normalize heatmap

# install clustergrammer
pip3 install clustergrammer

# make network object and load file
from clustergrammer import Network
from pandas import DataFrame as df
net = Network()
net.load_file('/data/fastq/sex_determine_region.heatmap.txt')

# Z-score normalize the rows
net.normalize(axis='row', norm_type='zscore', keep_orig=True)

# calculate clustering using default parameters
net.cluster()

# save tsv to file for use by front end
net.write_matrix_to_tsv('/data/fastq/nor.tsv')


# procedure below and extra steps, use it as your will

# make network object and load DataFrame, df
net = Network()
net.load_df(df)

# filter for the top 100 columns based on their absolute value sum
net.filter_N_top('col', 100, 'sum')

# cluster using default parameters
net.cluster()

# save visualization JSON to file for use by front end
net.write_json_to_file('viz', '/data/fastq/mult_view.json')