how and using which library can i use knn imputation for missing value analysis

Question

I am trying to to impute the missing values using knn but i couldnt able to use the code: from fancyimpute import KNN
is there any other library for knn imputation ?

Answer 1

An alternative library is sklearn:

from sklearn.impute import KNNImputer

An example from skleanr's documentation:

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)
imputer.fit_transform(X)

Output:

array([[1. , 2. , 4. ],
       [3. , 4. , 3. ],
       [5.5, 6. , 5. ],
       [8. , 8. , 7. ]])