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- import numpy as np
- import pandas as pd
- reviews_values = [
- [68,18], [81,19], [81,22], [15,75], [75,15], [17,72],
- [24,75], [21,91], [76, 6], [12,74], [18,83], [20,62],
- [21,82], [21,79], [84,15], [73,16], [88,25], [78,23],
- [32, 81], [77, 35]]
- reviews = pd.DataFrame(reviews_values, columns=['Цена', 'Качество'])
- clients_1 = []
- clients_2 = []
- for client in list(reviews.values):
- if client[0] < 40 and client[1] > 60:
- clients_1.append(client)
- else:
- clients_2.append(client)
- #sum_clients_1 = np.array([0,0])
- average_client_1 = sum(clients_1) / len(clients_1)
- print('Средняя оценка пришедших с первого агрегатора: ', average_client_1)
- average_client_2 = sum(clients_2) / len(clients_2)
- print('Средняя оценка пришедших со второго агрегатора: ', average_client_2)
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