/Python/Df = df.apply(lambda x: np.square(x) if x.name in [ 'a', 'e', 'g'] else x, axis=1)

Df = df.apply(lambda x: np.square(x) if x.name in [ 'a', 'e', 'g'] else x, axis=1)

Df = df.apply(lambda x: np.square(x) if x.name in [ 'a', 'e', 'g'] else x, axis=1)

import numpy as np  # optional
import pandas as pd
print(pd.__version__)
print(pd.show_versions(as_json=True))

0

Source: machinelearningplus.com

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