/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 vote269 views1 answer
Condtion for equal time in selenium python
Python
5 votes191 views2 answers
Pandas convert index to column
Python
3 votes430 views1 answer
Len python meaning
Python
0 vote326 views1 answer
Pandas rolling mean (also known as the moving average).
Python
4 votes191 views1 answer
Python windows hide files
Python
0 vote184 views1 answer
Combine date and time python
Python
0 vote232 views1 answer
Scrape phone numbers from website python
Python
1 vote191 views1 answer
Django get form id from request
Python
0 vote189 views1 answer
Import data in pandad
Python
0 vote198 views1 answer
Easygui text adventure in python 3
Python