freecode calc.py

import numpy as np

def calculate(data):
    if len(data) != 9:
        raise ValueError("List must contain nine numbers.")

    # Convert the input list into a 3x3 Numpy array
    matrix = np.array(data).reshape(3, 3)

    # Calculate mean, variance, standard deviation, max, min, and sum
    result = {
        'mean': {
            'row': matrix.mean(axis=1).tolist(),
            'col': matrix.mean(axis=0).tolist(),
            'element': matrix.mean().item()
        },
        'variance': {
            'row': matrix.var(axis=1).tolist(),
            'col': matrix.var(axis=0).tolist(),
            'element': matrix.var().item()
        },
        'standard deviation': {
            'row': matrix.std(axis=1).tolist(),
            'col': matrix.std(axis=0).tolist(),
            'element': matrix.std().item()
        },
        'max': {
            'row': matrix.max(axis=1).tolist(),
            'col': matrix.max(axis=0).tolist(),
            'element': matrix.max().item()
        },
        'min': {
            'row': matrix.min(axis=1).tolist(),
            'col': matrix.min(axis=0).tolist(),
            'element': matrix.min().item()
        },
        'sum': {
            'row': matrix.sum(axis=1).tolist(),
            'col': matrix.sum(axis=0).tolist(),
            'element': matrix.sum().item()
        }
    }

    return result