A Column-wise Function Application in Pandas ?
Code Explanation:
● Library Import: pandas is imported using alias pd.
● DataFrame Creation: df is initialized with two numerical columns 'A' and 'B'.
● Column-wise Function: apply() with axis=0 applies the lambda function to each column.
● Lambda Function: Each element in the column is multiplied by 3.
● Store Result: The modified values are stored in a new DataFrame called new_df.
● Output Display: The transformed new_df is printed with the updated values.
Program:
import pandas as pd
df = pd.DataFrame({'A': [5, 10], 'B': [15, 20]})
new_df = df.apply(lambda col: col * 3, axis=0)
print(new_df)
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