DataFrame Operations

Now that you can create DataFrames, let's learn how to filter, sort, and transform your data - the operations you'll use constantly in financial analysis.

Filtering Data

Filter rows based on conditions:

Multiple Conditions

Sorting Data

Setting an Index

Grouping and Aggregating

Descriptive Statistics

Practice: Filter High-Value Positions

Practice: Sector Analysis

Key Takeaways

• Filter with df[df['Column'] > value]
• Use & for AND, | for OR in multiple conditions
• Sort with df.sort_values('Column')
• Set index with df.set_index('Column')
• Group with df.groupby('Column')['Data'].agg()
• Get stats with df.describe()

Next, we'll learn how to read and write data from files!