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Pandas Groupby Tutorial
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- Basic Concepts
- Groupby splits data into groups based on specified criteria
- Pandas groupby() method splits data into groups
- Groupby can handle one to multiple columns
- Data Analysis
- Size() method counts rows in each group
- Count() method returns dataframe with group counts
- Uniqueness() method counts unique values by group
- Missing values can be added using mask() method
- Aggregation
- Mean, median, standard deviation can be calculated by group
- Agg() method combines multiple statistical measures
- Custom functions can be used with agg()
- SciPy methods can be integrated with agg()
- Advanced Features
- Multiple groups can be counted simultaneously
- Percentages can be calculated by group
- Grouped data can be saved as CSV or Excel files
- Multi-level indexing available for large datasets