Given a 3D NumPy array temps with shape (3, 2, 4) representing temperatures for 3 days, 2 cities, and 4 measurements per day, how do you compute the average temperature per city over all days and measurements?

hard📝 Application Q8 of 15

NumPy - Aggregation Functions

Given a 3D NumPy array temps with shape (3, 2, 4) representing temperatures for 3 days, 2 cities, and 4 measurements per day, how do you compute the average temperature per city over all days and measurements?

Anp.mean(temps, axis=(0, 2))

Bnp.mean(temps, axis=1)

Cnp.mean(temps, axis=(1, 2))

Dnp.mean(temps, axis=2)

Step-by-Step Solution

Solution:

Step 1: Understand array shape
Shape (3, 2, 4): days, cities, measurements.
Step 2: Average per city over days and measurements
Average over axis 0 (days) and axis 2 (measurements).
Final Answer:
np.mean(temps, axis=(1, 2)) -> Option C
Quick Check:
Axes 1 and 2 averaged, leaving city axis 0 [OK]

Quick Trick: Average over days and measurements axes [OK]

Common Mistakes:

Averaging over wrong axes
Using single axis instead of tuple for multiple axes

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More NumPy Quizzes

Given a 3D NumPy array temps with shape (3, 2, 4) representing temperatures for 3 days, 2 cities, and 4 measurements per day, how do you compute the average temperature per city over all days and measurements?

Step 1: Understand array shape

Step 2: Average per city over days and measurements

Final Answer:

Quick Check:

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