Python Coding Challange - Question With Answer(02171224)

 

What will the following code output?

import pandas as pd  
data = {'Name': ['Alice', 'Bob'], 'Age': [25, 30]}  
df = pd.DataFrame(data)  
print(df.shape)

A) (2, 2)
B) (2, 1)
C) (1, 2)
D) [2, 2]

Step-by-Step Breakdown:

1. Importing Pandas:
   import pandas as pd imports the pandas library, which provides tools for working with structured data.

2. Creating a Dictionary:

   
   data = {'Name': ['Alice', 'Bob'], 'Age': [25, 30]}

   • The dictionary data has two keys: 'Name' and 'Age'.
   • 'Name' corresponds to a list of strings: ['Alice', 'Bob'].
   • 'Age' corresponds to a list of integers: [25, 30].

3. Creating a DataFrame:

   
   df = pd.DataFrame(data)

   • The pd.DataFrame() function converts the dictionary data into a DataFrame:

   markdown
       Name   Age
   0 Alice 25
   1 Bob 30

   • Each key becomes a column name.
   • Each list becomes the values of the column.
   • The DataFrame has 2 rows (index 0 and 1) and 2 columns (Name and Age).

4. Printing the Shape:

   
   print(df.shape)

   • df.shape returns a tuple (rows, columns).
   • Here:
     • Rows = 2 (Alice and Bob)
     • Columns = 2 (Name and Age)

Final Output:

(2, 2)

---

Why this happens:

• shape attribute provides a quick way to check the dimensions of the DataFrame.
• The first value 2 refers to the number of rows.
• The second value 2 refers to the number of columns.