/Python/Fill misssing values using sklrean

Fill misssing values using sklrean

import numpy as np
from sklearn.impute import SimpleImputer
imp = SimpleImputer(missing_values=np.nan, strategy='mean')
imp.fit([[1, 2], [np.nan, 3], [7, 6]])

X = [[np.nan, 2], [6, np.nan], [7, 6]]
print(imp.transform(X))

Similar codes

0 vote170 views1 answer
W0622: Redefining built-in 'zip' (redefined-builtin)
Python
0 vote210 views1 answer
Unique strings
Python
0 vote178 views1 answer
Seaborn orient
Python
0 vote177 views1 answer
Python subtract to minimum 0
Python
4 votes160 views2 answers
Random int in python 3
Python
0 vote129 views1 answer
Classical Cryptography: Using Classical Ciphers with pycipher.
Python
33 votes181 views6 answers
Set in python
Python
1 vote183 views1 answer
Django filter after annotate
Python Django
1 vote219 views1 answer
How to make an object set once python
Python
1 vote164 views1 answer
Python how to change back to the later directory
Python