Filling missing data using scikit

from sklearn.impute import SimpleImputer

We are importing the simple imputer from scikit library.

imputer = SimpleImputer(missing_values=np.nan, strategy=’mean’)

The strategy used is mean, where the missing data is replaced by average of the values.

imputer.fit(X[:, 1:3])

The number of columns on which the above function is used is 2 i.e between 1 and 3.

X[:, 1:3] = imputer.transform(X[:, 1:3])

The new column is again assigned to the 2 columns.