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Write code to find the third-highest salary in a dataset using Pandas.

SQLmedium0.2 min readPremium
Frequency
Low
Asked at 1 company
Category
487
questions in SQL
Difficulty Split
130E|271M|86H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Chryselys
Key Concepts Tested
spark
Expert AnswerPremium
38 wordsInterview-ready
third_salary = df['salary'].drop_duplicates().nlargest(3).iloc[-1]. Or: df_sorted = df.assign(rn=df['salary'].rank(method='dense', ascending=False)); third = df_sorted[df_sorted['rn'] == 3]['salary'].iloc[0]. **Why drop_duplicates**: 'Third-highest' often means distinct salary values. **Edge case**: <3 rows. **Scalability**: For large data, use PySpark or DB-side....
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