Friday, 15 August 2025

Python Coding challenge - Day 671| What is the output of the following Python Code?

 


Code Explanation:

Importing Pandas
import pandas as pd

Purpose: Loads the Pandas library for data manipulation.

Alias pd: This is a standard Python convention so we don’t have to type pandas every time.

Creating the Series
s = pd.Series([50, 40, 30, 20, 10])

Creates a Pandas Series: One-dimensional array-like object with labeled index.

Values: 50, 40, 30, 20, 10

Default Index: 0, 1, 2, 3, 4

Building the Condition
(s >= 20) & (s <= 40)

Step 1: (s >= 20) → [True, True, True, True, False]
Checks if each element is greater than or equal to 20.

Step 2: (s <= 40) → [False, True, True, True, True]
Checks if each element is less than or equal to 40.

Step 3: Combine with & (AND operator):
Result = [False, True, True, True, False]
This means elements at index 1, 2, 3 meet the condition.

Applying the Update
s[(s >= 20) & (s <= 40)] -= 10

Selects the elements that match the condition (40, 30, 20).

Subtracts 10 from each selected value.

Resulting Series:

0    50
1    30
2    20
3    10
4    10
dtype: int64

Calculating the Mean
print(s.mean())

.mean(): Calculates the average of all values.

Calculation: (50 + 30 + 20 + 10 + 10) / 5 = 120 / 5 = 24.0

Output:

24.0

Final Output: 24.0

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