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

# <p  style="z-index: 101;background: #fde073;text-align: center;line-height: 2.5;overflow: hidden;font-size:22px;">Please <a href="https://www.pycm.io/doc/#Cite" target="_blank">cite us</a> if you use the software</p>

# # Example-7 (How to plot via seaborn+pandas)

# ⚠️ This example is deprecated. You can use `plot` method from `version 3.0`

# ## Environment check

# Checking that the notebook is running on Google Colab or not.

# In[1]:


import sys
try:
  import google.colab
  get_ipython().system('{sys.executable} -m pip -q -q install pycm')
except:
  pass


# ## Install seaborn,pandas

# In[2]:


get_ipython().system('{sys.executable} -m pip -q -q install seaborn;')
get_ipython().system('{sys.executable} -m pip -q -q install pandas;')


# ## Plotting

# In[3]:


from pandas import *
import seaborn as sns
from pycm import *
import numpy as np


# In[4]:


def plot_confusion_matrix(cm,normalize=False, title='Confusion matrix', annot=False, cmap="YlGnBu"):
    if normalize == True:
        df = DataFrame(cm.normalized_matrix).T.fillna(0)
    else:
        df = DataFrame(cm.matrix).T.fillna(0)
    ax = sns.heatmap(df, annot=annot, cmap=cmap)
    ax.set_title(title)
    ax.set(xlabel='Predict', ylabel='Actual')


# In[5]:


np.random.seed(100)
x1 = np.random.randint(low=0, high=3, size=20000)
x2 = np.random.randint(low=0, high=3, size=20000)
cm1 = ConfusionMatrix(x1, x2)
plot_confusion_matrix(cm1, title="cm1", annot=True)


# In[6]:


plot_confusion_matrix(cm1,normalize=True, title="cm1(Normalized)", annot=True)


# In[7]:


x1 = np.random.randint(low=0, high=50, size=2000000)
x2 = np.random.randint(low=0, high=50, size=2000000)
cm2 = ConfusionMatrix(x1, x2)
plot_confusion_matrix(cm2, title="cm2", cmap="Dark2")


# In[8]:


plot_confusion_matrix(cm2, normalize=True, title="cm2(Normalized)")


# <script type="text/javascript">
# var sc_project=12845182; 
# var sc_invisible=1; 
# var sc_security="001dde8f"; 
# </script>
# <script type="text/javascript"
# src="https://www.statcounter.com/counter/counter.js" async></script>
# <noscript><div class="statcounter"><a title="Web Analytics"
# href="https://statcounter.com/" target="_blank"><img class="statcounter"
# src="https://c.statcounter.com/12845182/0/001dde8f/1/" alt="Web Analytics"
# referrerPolicy="no-referrer-when-downgrade"></a></div></noscript>