/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 vote315 views1 answer
Create a variable python
Python
0 vote354 views1 answer
Write a list to a file using the writelines() function
Python
4 votes383 views5 answers
Module 'datetime' has no attribute 'now' django
Python Django
0 vote290 views1 answer
Double for in loop python
Python
0 vote286 views1 answer
End without space in python
Python
1 vote314 views1 answer
How to minimize command console python
Python
0 vote304 views2 answers
Remove unicode from string python
Python
0 vote378 views1 answer
ModuleNotFoundError: No module named 'django.db.models.enums'
Python Django
0 vote321 views1 answer
Remove scientific notation python matplotlib
Python
-2 votes297 views2 answers
Float() argument must be a string or a number, not 'dict_values'
Python