Python Pandas Interview Questions and Answers
Ques 11. How can you apply a function to each element in a DataFrame?
Use the apply function. df.apply(my_function)
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Ques 12. What is the purpose of the melt function in Pandas?
melt is used to transform wide-format data to long-format data.
Example:
pd.melt(df, id_vars=['id_column'], value_vars=['value_column'])
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Ques 13. Explain the concept of broadcasting in Pandas.
Broadcasting is the ability of NumPy and Pandas to perform operations on arrays or DataFrames of different shapes.
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Ques 14. How can you rename columns in a Pandas DataFrame?
Use the rename function. df.rename(columns={'old_name': 'new_name'})
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Ques 15. What is the purpose of the concat function in Pandas?
concat is used to concatenate DataFrames along a particular axis.
Example:
pd.concat([df1, df2], axis=1)
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- How can you apply a function to each element in a DataFrame?
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