#!/usr/bin/env python
# coding: utf-8

# # Visualize ADT Data

# In[1]:


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
get_ipython().run_line_magic('matplotlib', 'inline')


# In[2]:


from clustergrammer2 import net
import helper_functions as hf


# In[3]:


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]


# In[4]:


df.shape


# In[5]:


net.load_df(df)
net.widget()


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