import pandas as pd
import numpy as np
from copy import deepcopy
from ast import literal_eval as make_tuple
import matplotlib.pyplot as plt
%matplotlib inline
from clustergrammer2 import net
import helper_functions as hf
>> clustergrammer2 backend version 0.4.2
df = pd.read_parquet('../data/10k_pbmc_feature_v3-chem_v3.0.0-cr/processed_data/adt-cat.parquet')
df.columns = [make_tuple(x) for x in df.columns]
df.shape
(14, 7864)
net.load_df(df)
net.widget()
ExampleWidget(network='{"row_nodes": [{"name": "CD3", "ini": 14, "clust": 9, "rank": 4, "rankvar": 6, "group":…