Education platform for interview prep, online tests, tutorials, and live practice

Build skills with focused learning paths, mock tests, and interview-ready content.

WithoutBook brings subject-wise interview questions, online practice tests, tutorials, and comparison guides into one responsive learning workspace.

Search the library

Prepare Interview

Python Pandas Interview Questions and Answers

1
2
3
4
5
6
7
8
9
10

Ques 6. How do you select specific columns from a DataFrame?

df[['column1', 'column2']]

Is it helpful? Yes No Add Comment View Comments

Ques 7. Explain the use of the groupby function in Pandas.

groupby is used to split the data into groups based on some criteria and then apply a function to each group independently.

Example:

df.groupby('column1').mean()

Is it helpful? Yes No Add Comment View Comments

Ques 8. How do you handle missing data in a DataFrame?

df.dropna() or df.fillna(value)

Is it helpful? Yes No Add Comment View Comments

Ques 9. What is the purpose of the merge function in Pandas?

merge is used to combine two DataFrames based on a common column or index.

Example:

pd.merge(df1, df2, on='common_column')

Is it helpful? Yes No Add Comment View Comments

Ques 10. Explain the pivot_table function in Pandas.

pivot_table is used to create a spreadsheet-style pivot table as a DataFrame.

Example:

pd.pivot_table(df, values='value', index='index_column', columns='column_to_pivot')

Is it helpful? Yes No Add Comment View Comments

1
2
3
4
5
6
7
8
9
10

Most helpful rated by users:

Copyright © 2026, WithoutBook.