Missing value imputation in python using KNN

Question

I have a dataset that looks like this

1908    January 5.0 -1.4
1908    February    7.3 1.9
1908    March   6.2 0.3
1908    April   NaN   2.1
1908    May NaN          


        

Answer 1

scikit-learn v0.22 supports native KNN Imputation

import numpy as np
from sklearn.impute import KNNImputer

X = [[1, 2, np.nan], [3, 4, 3], [np.nan, 6, 5], [8, 8, 7]]
imputer = KNNImputer(n_neighbors=2)
print(imputer.fit_transform(X))