In [1]:

    

import scipy.stats


    

In [2]:

    

l = [0, 1, 2, 3, 4]
print(l)


    

    




[0, 1, 2, 3, 4]

In [3]:

    

print(scipy.stats.zscore(l))


    

    




[-1.41421356 -0.70710678  0.          0.70710678  1.41421356]

In [4]:

    

print(type(scipy.stats.zscore(l)))


    

    




<class 'numpy.ndarray'>

In [5]:

    

print(scipy.stats.zscore(l, ddof=1))


    

    




[-1.26491106 -0.63245553  0.          0.63245553  1.26491106]

In [6]:

    

l_2d = [[0, 1, 2], [3, 4, 5], [6, 7, 8]]
print(l_2d)


    

    




[[0, 1, 2], [3, 4, 5], [6, 7, 8]]

In [7]:

    

print(scipy.stats.zscore(l_2d))


    

    




[[-1.22474487 -1.22474487 -1.22474487]
 [ 0.          0.          0.        ]
 [ 1.22474487  1.22474487  1.22474487]]

In [8]:

    

print(scipy.stats.zscore(l_2d, ddof=1))


    

    




[[-1. -1. -1.]
 [ 0.  0.  0.]
 [ 1.  1.  1.]]

In [9]:

    

print(scipy.stats.zscore(l_2d, axis=1))


    

    




[[-1.22474487  0.          1.22474487]
 [-1.22474487  0.          1.22474487]
 [-1.22474487  0.          1.22474487]]

In [10]:

    

print(scipy.stats.zscore(l_2d, axis=1, ddof=1))


    

    




[[-1.  0.  1.]
 [-1.  0.  1.]
 [-1.  0.  1.]]

In [11]:

    

print(scipy.stats.zscore(l_2d, axis=None))


    

    




[[-1.54919334 -1.161895   -0.77459667]
 [-0.38729833  0.          0.38729833]
 [ 0.77459667  1.161895    1.54919334]]

In [12]:

    

print(scipy.stats.zscore(l_2d, axis=None, ddof=1))


    

    




[[-1.46059349 -1.09544512 -0.73029674]
 [-0.36514837  0.          0.36514837]
 [ 0.73029674  1.09544512  1.46059349]]