block1.python

import numpy as np
from sklearn.impute import SimpleImputer
# Missing expected values are Nan, we're using statitistics (mean) to impute 
imp_mean = SimpleImputer(missing_values=np.nan, strategy='mean')
X_train = [[7, 2, 3], [4, np.nan, 6], [10, 5, 9]]
imp_mean.fit(X_train)

X_test = [[np.nan, 2, 3], [4, np.nan, 6], [10, np.nan, 9]]
print(imp_mean.transform(X_test))