Apply a Function to Each Row in a DataFrame
Code Explanation:
● Function Application: apply() method with axis=1 is used to apply a function across each row.
● Lambda Function: A lambda function is passed to compute the sum of values in each row.
● Store Result: The result is stored in the variable row_sum.
● Output Display: The total (row-wise sum) for each row is printed.
Program:
import pandas as pd
df = pd.DataFrame({
'Math': [80, 90, 85],
'Science': [75, 88, 92],
'English': [78, 83, 89]
})
row_sum = df.apply(lambda row: row.sum(), axis=1)
print(row_sum)
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