Pandas Interview Questions and Answers
Ques 21. Explain the purpose of the crosstab() function in Pandas.
crosstab() computes a cross-tabulation of two or more factors.
Example:
pd.crosstab(df['Factor1'], df['Factor2'])
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Ques 22. How to handle categorical data in Pandas?
You can use the astype() method to convert a column to a categorical type: df['Category'] = df['Category'].astype('category')
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Ques 23. Explain the use of melt() function in Pandas.
melt() is used to reshape or transform data by unpivoting it.
Example:
pd.melt(df, id_vars=['ID'], value_vars=['Var1', 'Var2'])
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Ques 24. What is the purpose of the to_csv() method in Pandas?
to_csv() is used to write a DataFrame to a CSV file.
Example:
df.to_csv('output.csv', index=False)
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Ques 25. Explain the use of the nunique() function in Pandas.
nunique() returns the number of unique elements in a column.
Example:
df['Column'].nunique()
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