Let's first understand how to calculate values to get their
Using numpy
-> mean, variance, standard deviation,
-> max, min, and sum of the rows, columns,
-> and elements in a 3 x 3 matrix.
Hmm okay, we must first understand how to convert
list of 9 digits -> 3 x 3 numpy array
# Convert the list to a NumPy array
numpy_array = np.array(original_list)
# Reshape the NumPy array to a 3x3 matrix
matrix_3x3 = numpy_array.reshape(3, 3)
Calculating mean, variance, standard deviation
# Calculate mean, variance, and standard deviation
mean = np.mean(matrix)
variance = np.var(matrix)
std_deviation = np.std(matrix)
Axis means Dimensions, so 2 dimensions means axis 1 = row, axis 0 = column