Python Coding challenge - Day 816| What is the output of the following Python Code?

 

Code Explanation:

Importing Pandas

import pandas as pd

This imports the pandas library and gives it the alias pd.

Pandas is used for handling and analyzing data in a tabular (row-column) format.

Creating the DataFrame

df = pd.DataFrame({"A":[1, 2, 3, 4], "B":[3, 2, 1, 0]})

This creates a DataFrame with two columns:

Column A has values [1, 2, 3, 4]

Column B has values [3, 2, 1, 0]

At this point, df looks like a small table with four rows and two columns.

Adding a New Column “C”

df["C"] = df["A"] + df["B"]

This creates a new column C, which is the sum of A and B for each row.

Row-wise calculations:

1 + 3 = 4

2 + 2 = 4

3 + 1 = 4

4 + 0 = 4

So column C becomes [4, 4, 4, 4].

 Creating Another Column “D”

df["D"] = df["C"] * 2

This multiplies each value in column C by 2.

Since every value in C is 4, column D becomes [8, 8, 8, 8].

Filtering Rows Where A > 2

filtered = df[df["A"] > 2]

This filters out rows where column A is greater than 2.

Only the rows with A = 3 and A = 4 remain in filtered.

Calculating the Final Result

result = filtered["D"].sum() + df.loc[0, "C"]

filtered["D"].sum() adds up all values in column D for the filtered rows → 8 + 8 = 16

df.loc[0, "C"] accesses the value in row 0, column C of the original DataFrame → 4

Finally, 16 + 4 = 20

Printing the Result

print(result)

This prints the final computed result.

Output:

20

600 Days Python Coding Challenges with Explanation