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 vote371 views1 answer
End of statement expected python
Python
0 vote324 views1 answer
Add 2 number
Python
24 votes326 views6 answers
Django update model
Python
0 vote356 views1 answer
Seaborn documentation x axis range
Python
0 vote331 views1 answer
Python seeded random
Python
0 vote366 views1 answer
Pipenv installs
Python
-1 vote327 views1 answer
Subscript in python
Python
0 vote362 views1 answer
Local to ISO 8601 without microsecond:
Python
0 vote346 views1 answer
Python if column is null then
Python
0 vote362 views2 answers
Remove last element from dictionary python
Python