Python Coding challenge - Day 817| What is the output of the following Python Code?

 

Code Explanation:

Importing the Required Libraries

import pandas as pd, statistics as st

This line imports two libraries:

pandas (as pd) → used for working with data in tabular form (DataFrames).

statistics (as st) → provides mathematical statistics functions like mean, median, mode, etc.

Using aliases (pd, st) makes the code shorter and more readable.

Creating a DataFrame

df = pd.DataFrame({"A": [3, 6, 9, 12]})

This creates a DataFrame, which is like a spreadsheet with rows and columns.

The dictionary {"A": [3, 6, 9, 12]} defines:

A single column named "A".

The values in that column are [3, 6, 9, 12].

So the DataFrame looks like this:

   A

0  3

1  6

2  9

3  12

Calculating the Mean Using Pandas

mean = df["A"].mean()

df["A"] selects the "A" column from the DataFrame.

.mean() is a built-in pandas method that calculates the average value of the column.

Calculation:

Mean=(3+6+9+12)/4=30/4=7.5

So, mean = 7.5.

Calculating the Median Using statistics

median = st.median(df["A"])

The statistics.median() function computes the middle value of the data.

Since the dataset [3, 6, 9, 12] has an even number of elements (4),

the median is the average of the two middle values:

(6+9)/2=7.5

So, median = 7.5.

Printing the Final Result

print(int(mean + median))

Adds the mean and median:

7.5+7.5=15.0

The int() function converts it to an integer (removing the decimal part):

int(15.0) → 15

Finally, it prints the result.

Final Output

15

700 Days Python Coding Challenges with Explanation