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import pandas as pd
import matplotlib.pyplot as plt

data = pd.read_csv('Antartica_mass.csv')
data.columns = ['time', 'na', 'mass']
data = data.drop(columns=['na'])
data.time = data.time.astype(int)
data['change'] = data['mass'] - data['mass'].shift(1)
data['change_percent'] = data['change'] * 100 / data['mass'].shift(1)

data

mean = data.groupby('time')['mass'].mean()
plt.figure(figsize=(10, 6))
plt.plot(mean.index, mean.values, marker='o', linestyle='-')
plt.title('��������� ����� �������� �������')
plt.xlabel('���')
plt.ylabel('�����, ��')
plt.grid(True)
plt.tight_layout()
plt.show()

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Antartica_mass.csv

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