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import pandas as pd
import matplotlib.pyplot as plt

data = pd.read_csv('Global Dataset of Inflation.csv', index_col='Country Code', encoding='iso8859-1', sep=',', dayfirst=True )

inf2 = data.loc[['RUS','BLR']][['Series Name','2004','2005', '2006', '2007', '2008','2009', '2010','2011', '2012', '2013', '2014','2015','2016', '2017', '2018', '2019', '2020', '2021', '2022']]

result_series = inf2.groupby(['Series Name']).mean()
print(result_series)
new_result = result_series.T

plt.figure(figsize=(16, 6))
plt.plot(new_result.index, new_result.values, marker='o', linestyle='-.')

plt.legend(['Energy Consumer Price Inflation ', 'Food Consumer Price Inflation', 'Headline Consumer Price Inflation', 'Official Core Consumer Price Inflation', 'Producer Price Inflation '])

plt.title('������������� ����������� �������� ��� ���� �����')# �� x
plt.xlabel('����')# �� x
plt.ylabel('������� ��������')

plt.show()
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bank-full2.csv
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