Python Pandas Questions et reponses d'entretien

Question 11. How can you apply a function to each element in a DataFrame?

Use the apply function. df.apply(my_function)

Question 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'])

Question 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.

Question 14. How can you rename columns in a Pandas DataFrame?

Use the rename function. df.rename(columns={'old_name': 'new_name'})

Question 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)