Python Coding challenge - Day 344| What is the output of the following Python Code?

 

Code Explanation

import pandas as pd  

Imports the pandas library:

pandas is a popular Python library used for data manipulation and analysis, particularly with structured data like tables.

data = {'A': [2, 4, 6], 'B': [1, 3, 5]}  

Creates a dictionary:

The variable data is a dictionary with two keys:

'A': Contains a list [2, 4, 6].

'B': Contains a list [1, 3, 5].

Each key represents a column name, and its corresponding list contains the column values.

df = pd.DataFrame(data)  

Creates a DataFrame:

pd.DataFrame(data) converts the dictionary data into a pandas DataFrame. The DataFrame will look like this:

   A  B

0  2  1

1  4  3

2  6  5

Each key in the dictionary becomes a column (A and B).

Each element in the lists becomes a row entry for the corresponding column.

print(df[<fill_here>])  

Accessing specific data:

The placeholder <fill_here> is where we specify which data to extract from the DataFrame.

You can fill this placeholder in several ways depending on what you want to access:

Access a single column:

print(df['A'])

Output:

0    2

1    4

2    6

Name: A, dtype: int64

Access multiple columns:

print(df[['A', 'B']])

Output:

   A  B

0  2  1

1  4  3

2  6  5

Access a row by label (if index labels are customized):

print(df.loc[0])  # Accesses the first row

Output:

A    2

B    1

Name: 0, dtype: int64

Access a row by position:

print(df.iloc[1])  # Accesses the second row (index 1)

Output:

A    4

B    3

Name: 1, dtype: int64

Final Output:

df[df['A'] > 3]

 df['A'] > 3

 df['A'] > 3