block2.python

import pandas as pd
# Create a dataframe (categorical data)
df = pd.DataFrame([["a", "x"],
                   [np.nan, "y"],
                   ["a", np.nan],
                   ["b", "y"]], dtype="category")

imp = SimpleImputer(strategy="most_frequent")
print(imp.fit_transform(df))