Apply Function Row-wise and Create New Column in Pandas
Code Explanation:
● Row-wise Application: apply() with axis=1 is used to apply the function to each row.
● Lambda Function: Calculates the sum of values from columns 'A' and 'B'.
● New Column: The result of each row's sum is stored in a new column 'Sum'.
● Output Display: The updated DataFrame is printed, now including the 'Sum' column.
Program:
import pandas as pd
df = pd.DataFrame({
'A': [10, 20, 30],
'B': [1, 2, 3]
})
df['Sum'] = df.apply(lambda row: row['A'] + row['B'], axis=1)
print(df)
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