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Karnataka Election Stats

Karnataka Election Stats... Untitled3
Today is verdict's day for Karnatka Assembly election.There are number of factors that actually lead to the election results. I am putting graphs and bar charts on some of the factors. Here I am tryimng to demonstrate how different stats can be put in visulaization and can make digesting figures easy.
In [ ]:
First here is the demographic divide of Karnakta.
Demographics of a region especially religion plays a vital role in political elections.
In [20]:
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline

df = pd.read_csv('KarnatakaDemographics.csv')
df
newdf = df[df.columns[0:2]]
In [19]:
plt.figure(figsize=(16,8))
# plot chart
ax1 = plt.subplot(121, aspect='equal')
newdf.plot(kind='pie', y = 'Percent', ax=ax1, autopct='%1.1f%%', 
 startangle=180, shadow=True, labels=df['Religion'], legend = True, fontsize=14)
Out[19]:
<matplotlib.axes._subplots.AxesSubplot at 0x1b60ea7e550>

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