Z-score

# Computing along a specific axis, omitting nan values

>>> x = np.array([[25.11, 30.10, np.nan, 32.02, 43.15],
              [14.95, 16.06, 121.25, 94.35, 29.81]]) stats.zscore(x, axis=1, nan_policy='omit')
>>> array([[-1.13490897, -0.37830299,         nan, -0.08718406,  1.60039602],
      [-0.91611681, -0.89090508,  1.4983032 ,  0.88731639, -0.5785977 ]])

Source: docs.scipy.org

Similar codes

0 vote243 views1 answer
Django created at field
Python Django
0 vote299 views1 answer
Python class to tuple
Python
0 vote260 views1 answer
Matplotlib set y lim
Python
0 vote233 views1 answer
Ordenar lista python
Python
1 vote257 views1 answer
Yesno django
Python Django
8 votes265 views3 answers
Things to do with python
Python
7 votes245 views3 answers
Pandas replace nonetype with empty string
Python
0 vote227 views1 answer
Python turn list of strings into list of doubles
Python
0 vote247 views1 answer
Applies the f function to all Row
Python
0 vote231 views1 answer
How to call object of a list python
Python