pandas apply output multiple columns
df = pd.DataFrame(np.random.randint(0,10,(10,2)), columns=["random", "a"])
df[["sq_a","cube_a"]] = df.apply(lambda x: [x.a**2, x.a**3], axis=1, result_type="expand")pandas apply output multiple columns
df = pd.DataFrame(np.random.randint(0,10,(10,2)), columns=["random", "a"])
df[["sq_a","cube_a"]] = df.apply(lambda x: [x.a**2, x.a**3], axis=1, result_type="expand")pandas apply output multiple columns
>>> appiled_df = df.apply(lambda row: fn(row.text), axis='columns', result_type='expand')
>>> df = pd.concat([df, appiled_df], axis='columns')Copyright © 2021 Codeinu
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