Data Analysis with Python Projects - Mean-Variance-Standard Deviation Calculator

Python
1

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CPH2467 - Android 15 - Android SDK 35

Challenge: Data Analysis with Python Projects - Mean-Variance-Standard Deviation Calculator

Link to the challenge:

import numpy as np

def calculate(lst):
    if len(lst) != 9:
        raise ValueError("List must contain nine numbers.")
    
    matrix = np.array(lst).reshape(3, 3)

    calculations = {
        'mean': [matrix.mean(axis=0).tolist(), matrix.mean(axis=1).tolist(), matrix.mean().tolist()],
        'variance': [matrix.var(axis=0).tolist(), matrix.var(axis=1).tolist(), matrix.var().tolist()],
        'standard deviation': [matrix.std(axis=0).tolist(), matrix.std(axis=1).tolist(), matrix.std().tolist()],
        'max': [matrix.max(axis=0).tolist(), matrix.max(axis=1).tolist(), matrix.max().tolist()],
        'min': [matrix.min(axis=0).tolist(), matrix.min(axis=1).tolist(), matrix.min().tolist()],
        'sum': [matrix.sum(axis=0).tolist(), matrix.sum(axis=1).tolist(), matrix.sum().tolist()]
    }

    return calculations
2

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3

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4

Please provide some more information.

What’s your output?

Is there an error?

Do you have a question?

Off the top of my head, in the example given:

'sum': [[9, 12, 15], [3, 12, 21], 36]

This is a list containing two lists and a number.

'sum': [matrix.sum(axis=0).tolist(), matrix.sum(axis=1).tolist(), matrix.sum().tolist()]

You seem to be returning 3 lists.