Created
May 5, 2020 03:08
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import numpy as np | |
import pandas as pd | |
np.random.seed(0) | |
sales_amounts = np.random.randint(20, size=(5, 3)) | |
weekly_sales = pd.DataFrame(sales_amounts, | |
index=["Mon", "Tues", "Wed", "Thurs", "Fri"], | |
columns=["Almond butter", "Peanut butter", "Cashew butter"]) | |
prices = np.array([10, 8, 12]) | |
print(f"Weekly sales shape: {weekly_sales.shape}") | |
butter_prices = pd.DataFrame(prices.reshape(1, 3), | |
index=["Price"], | |
columns=["Almond butter", "Peanut butter", "Cashew butter"]) | |
print(f"Butter prices shape: {butter_prices.shape}") | |
print(f"Weekly sales shape (transposed): {weekly_sales.T.shape}") | |
daily_sales = butter_prices.dot(weekly_sales.T) | |
print(f"Daily sales shape: {daily_sales.shape}") | |
weekly_sales["Total"] = daily_sales.T | |
weekly_sales |
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