Basic Bar Chart example to compare Total Assets by Bank in years 2011 - 2020.
from pandas import read_csv
from matplotlib import pyplot
series = read_csv('Assets.csv', header=0, index_col=0, parse_dates=True, squeeze=True)
print(series.head())
series.groupby(['Bank Name'])['Total Assets'].sum().reset_index()
series1=series.groupby(['Bank Name'])['Total Assets'].sum().reset_index()
series1.sort_values(by=['Bank Name'])
series1.plot.bar(color = 'grey',width = 0.8, x="Bank Name", y="Total Assets")
pyplot.show()
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