Sorting Data

Sorting helps you organize and analyze your data. Pandas provides flexible sorting methods.

Sorting by Single Column

Use sort_values() to sort by a column:

Sorting by Multiple Columns

Sort by multiple columns with different orders:

Sorting by Index

Sort by the row index:

Handling Missing Values

Control where NaN values appear:

In-Place Sorting

Modify the original DataFrame:

Sorting Columns

Sort columns instead of rows:

Exercise: Sort by Score

Exercise: Multi-Column Sort

Key Points

• sort_values() sorts by column values
• sort_index() sorts by index
• ascending=False for descending order
• Pass lists to sort by multiple columns
• na_position='first' or 'last' for NaN placement
• inplace=True modifies the original DataFrame
• axis=1 to sort columns