Python Pandas Interview Questions and Answers
The Best LIVE Mock Interview - You should go through before Interview
Experienced / Expert level questions & answers
Ques 1. 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?
Add Comment
View Comments
Ques 2. Explain the concept of MultiIndex in Pandas.
MultiIndex is used to represent hierarchical index levels in a DataFrame.
Is it helpful?
Add Comment
View Comments
Ques 3. Explain the use of the transform() function in Pandas.
transform() is used to perform group-specific computations and return a DataFrame with the same shape as the input.
Example:
df['normalized_column'] = df.groupby('group_column')['value_column'].transform(lambda x: (x - x.mean()) / x.std())
Is it helpful?
Add Comment
View Comments
Ques 4. What is the purpose of the pipe() function in Pandas?
pipe() is used to apply a function to a DataFrame using method chaining.
Example:
df.pipe(my_function).dropna()
Is it helpful?
Add Comment
View Comments
Ques 5. Explain the purpose of the stack() and unstack() functions in Pandas.
stack() is used to pivot the columns of a DataFrame to the rows. unstack() does the reverse operation.
Example:
df.stack()
Is it helpful?
Add Comment
View Comments
Most helpful rated by users:
Related interview subjects
Flask interview questions and answers - Total 40 questions |
PySpark interview questions and answers - Total 30 questions |
PyTorch interview questions and answers - Total 25 questions |
Data Science interview questions and answers - Total 23 questions |
SciPy interview questions and answers - Total 30 questions |
Generative AI interview questions and answers - Total 30 questions |
NumPy interview questions and answers - Total 30 questions |
Python interview questions and answers - Total 106 questions |
Python Pandas interview questions and answers - Total 48 questions |
Python Matplotlib interview questions and answers - Total 30 questions |
Django interview questions and answers - Total 50 questions |
Pandas interview questions and answers - Total 30 questions |
Deep Learning interview questions and answers - Total 29 questions |