Untitled

import pandas as pd

tr = pd.read_csv('transactions.csv')

customer_id = 70780820

customer_df = tr[tr.customer_id == customer_id].copy()

customer_df['day'] = customer_df.tr_datetime.str.split().str[0].astype(int)

days_amount = customer_df.groupby('day').aggregate({'amount': 'sum'}).sort_values('day')

days_amount

days = [i for i in range(457)]
amount = [0]

for i in range(456):
    amount.append(amount[-1] + days_amount.iloc[i])

import matplotlib.pyplot as plt

plt.plot(days, amount)

sum(amount[i: i+30]) / 30

max_d = 0
max_ost = 0

for i in range(0, len(amount) - 30):
    mean = (sum(amount[i: i+30]) / 30).iloc[0]
    
    if mean > max_ost:
        max_ost = mean
        max_d = i

print('макс с ', i, 'по', i + 30, 'дни')