CBSE SQP 2024-25

Question

**Assertion (A):** We can add a new column in an existing DataFrame.

**Reason (R):** DataFrames are size mutable.

Choose the correct option:
- **(A)** Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A)
- **(B)** Both Assertion (A) and Reason (R) are true, but Reason (R) is not the correct explanation of Assertion (A)
- **(C)** Assertion (A) is True, but Reason (R) is False
- **(D)** Assertion (A) is False, but Reason (R) is True A). Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A) B). Both Assertion (A) and Reason (R) are true, but Reason (R) is not the correct explanation of Assertion (A) C). Assertion (A) is True, but Reason (R) is False D). Assertion (A) is False, but Reason (R) is True

Edvaya · Accepted Answer

The correct answer is Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of Assertion (A). Both statements are **True**, and Reason (R) correctly explains Assertion (A). **Assertion (A)** is True: You can indeed add a new column to an existing DataFrame by simply assigning values to a new column name. ```python import pandas as pd df = pd.DataFrame({'Name': ['Alice', 'Bob'], 'Age': [25, 30]}) df['City'] = ['Delhi', 'Mumbai'] # Adding a new column print(df) ``` **Reason (R)** is True and is the correct explanation: DataFrames are **size-mutable**, meaning their size (number of rows and columns) can be changed after creation — columns and rows can be added or deleted. This property is what allows us to add a new column.

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Informatics Practices > Data Handling And Visualization > Data Handling Using Pandas

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