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

# # Working on new API
# Import libraries

# In[1]:


import numpy as np
import pandas as pd
from clustergrammer_widget import *
net = Network(clustergrammer_widget)


# # Latest API

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net.load_file('rc_two_cats.txt')
net.make_clust()
net.widget()


# In[4]:


df_genes = net.widget_df()
df_genes.shape


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# In[5]:


net.load_df(df_genes)
net.make_clust()
net.widget()


# In[19]:


len(net.widget_instance.mat_string)


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net.widget_instance.mat_string


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# generate random matrix
num_rows = 500
num_cols = 10
np.random.seed(seed=100)
mat = np.random.rand(num_rows, num_cols)

# make row and col labels
rows = range(num_rows)
cols = range(num_cols)
rows = [str(i) for i in rows]
cols = [str(i) for i in cols]

# make dataframe 
df = pd.DataFrame(data=mat, columns=cols, index=rows)


# In[7]:


net.load_df(df)
net.make_clust()
net.widget()


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df_random = net.widget_df()
df_random.shape


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