Visualisationlp (1) (1).py

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

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import numpy as np
import pandas as pd
import scipy.stats


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import matplotlib
import matplotlib.pyplot as np
import pandas.plotting
from IPython import display
from ipywidgets import interact,widgets
get_ipython().run_line_magic('matplotlib', 'inline')


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colleges=pd.read_csv('insti.csv')


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colleges.info()


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colleges.head()


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pd.DataFrame(colleges.Autonomous.value_counts())


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pd.DataFrame(colleges.district.value_counts())


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combined=colleges.groupby("Autonomous").district.value_counts()
combined


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combined.unstack()


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colleges.Autonomous.value_counts().plot(kind='bar')


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colleges.district.value_counts().plot(kind='bar')


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combined.plot(kind='bar')


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k=combined.unstack()
k.plot(kind='bar')


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k.plot(kind='barh')


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