text_plain_output_1.png
from clustergrammer2 import net

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

df = pd.read_csv('../input/ccle.txt/CCLE.txt', index_col=0)
from ast import literal_eval as make_tuple
cols = df.columns.tolist()
new_cols = [make_tuple(x) for x in cols]
df.columns = new_cols
df.shape

net.load_df(df.round(2))
net.filter_N_top(inst_rc='row', N_top=1000, rank_type='var')
net.widget()

net.load_df(df)
net.filter_N_top(inst_rc='row', N_top=1000, rank_type='var')
net.normalize(axis='row', norm_type='zscore')
df = net.export_df().round(2)
net.load_df(df)
net.widget()