[Solved] You have a list of lists representing daily temperatures for a week:temps = [[20, 22, 19], [21, 23, 20], [19, 21, 18], [22, 24, 21], [20, 22, 19], [18, 20, 17], [21, 23, 20]]How can you convert this... | NumPy

NumPy - Creating Arrays

You have a list of lists representing daily temperatures for a week:

temps = [[20, 22, 19], [21, 23, 20], [19, 21, 18], [22, 24, 21], [20, 22, 19], [18, 20, 17], [21, 23, 20]]

How can you convert this into a numpy array and find the average temperature for each day?

Aimport numpy as np temps_arr = np.array(temps) daily_avg = temps_arr.mean(axis=1) print(daily_avg)

Bimport numpy as np temps_arr = np.array(temps) daily_avg = temps_arr.mean(axis=0) print(daily_avg)

Cimport numpy as np daily_avg = np.array(temps).sum() print(daily_avg)

Dimport numpy as np temps_arr = np.array(temps) daily_avg = temps_arr.max(axis=1) print(daily_avg)

Step-by-Step Solution

Solution:

Step 1: Convert list of lists to numpy array
Use np.array(temps) to create a 2D array where each row is a day.
Step 2: Calculate average temperature per day
Use mean(axis=1) to compute average across columns (hours) for each row (day).
Final Answer:
import numpy as np temps_arr = np.array(temps) daily_avg = temps_arr.mean(axis=1) print(daily_avg) -> Option A
Quick Check:
mean(axis=1) averages rows (days) [OK]

Quick Trick: Use mean(axis=1) to average rows (days) [OK]

Common Mistakes:

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