dg492003/mean-variance-standard-deviation-calculator

This is my solution of FreeCodeCamp project Mean-Variance-Standard Deviation Calculator in Data Analysis with python

mean-variance-standard-deviation-calculator

This is my solution of freecodecamp project Mean-Variance-Standard Deviation Calculator in Data Analysis with python

Problem Statement

Create a function named calculate() in mean_var_std.py that uses Numpy to output the mean, variance, standard deviation, max, min, and sum of the rows, columns, and elements in a 3 x 3 matrix.
The input of the function should be a list containing 9 digits. The function should convert the list into a 3 x 3 Numpy array, and then return a dictionary containing the mean, variance, standard deviation, max, min, and sum along both axes and for the flattened matrix.
The returned dictionary should follow this format:
{
'mean': [axis1, axis2, flattened],
'variance': [axis1, axis2, flattened],
'standard deviation': [axis1, axis2, flattened],
'max': [axis1, axis2, flattened],
'min': [axis1, axis2, flattened],
'sum': [axis1, axis2, flattened]
}
If a list containing less than 9 elements is passed into the function, it should raise a ValueError exception with the message: "List must contain nine numbers." The values in the returned dictionary should be lists and not Numpy arrays.