�� : ��

�� 5

�� �� Global Dataset of Inflation.csv:
� �� 1970-2022 ��:
- Energy Consumer Price Inflation
- Food Consumer Price Inflation
- Headline Consumer Price Inflation
- Official Core Consumer Price Inflation
- Producer Price Inflation

*�� .

��:
-�� (��): RUS, BLR �� 2004-2022
��:
�� 5 �� , �� RUS+BLR

� �� : Global Dataset of Inflation.csv

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()

��
Global Dataset of Inflation.csv

��

�������� 5

�� 5