Python Coding challenge - Day 550| What is the output of the following Python Code?

 

Code Explanation:

1. Importing Libraries

import numpy as np

import pandas as pd

What it does:

numpy is imported as np: used for numerical operations and array handling.

pandas is imported as pd: used for creating and manipulating data in tabular form (DataFrames).

2. Creating a NumPy Array

data = np.array([[1, 2], [3, 4]])

What it does:

Creates a 2D NumPy array (a matrix):

[[1, 2],

[3, 4]]

Shape of the array: 2 rows × 2 columns.

3. Creating a Pandas DataFrame

df = pd.DataFrame(data, columns=["A", "B"])

What it does:

Converts the NumPy array into a Pandas DataFrame.

Assigns column names "A" and "B".

The resulting DataFrame df:

\   A  B

0  1  2

1  3  4

4. Calculating Column-wise Mean

df.mean()

What it does:

Calculates the mean (average) for each column:

Column A: (1 + 3) / 2 = 2.0

Column B: (2 + 4) / 2 = 3.0

Returns a Pandas Series:

A    2.0

B    3.0

dtype: float64

5. Converting Mean Series to Dictionary

df.mean().to_dict()

What it does:

Converts the Series of means into a Python dictionary.

Result:

{'A': 2.0, 'B': 3.0}

6. Printing the Result

print(df.mean().to_dict())

What it does:

Outputs the dictionary to the console.

Final Output:

{'A': 2.0, 'B': 3.0}

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