Python Coding challenge - Day 661| What is the output of the following Python Code?

 

Code Explanation:

1. Importing pandas and NumPy libraries

import pandas as pd

import numpy as np

Imports the pandas library as pd for data manipulation.

Imports NumPy as np for numerical operations, including handling NaN values.

2. Creating a DataFrame df with missing values

df = pd.DataFrame({'A': [1, np.nan, 3, np.nan, 5]})

Creates a DataFrame df with a single column 'A'.

The values are [1, NaN, 3, NaN, 5], where np.nan represents missing data.

3. Filling missing values with 0

df['A'] = df['A'].fillna(0)

Replaces all NaN values in column 'A' with 0.

After this operation, column 'A' becomes [1, 0, 3, 0, 5].

4. Calculating and printing the sum of column 'A'

print(df['A'].sum())

Calculates the sum of the updated column 'A'.

Sum = 1 + 0 + 3 + 0 + 5 = 9.

Prints 9.

Output:

9

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