pandas and NumPy 3 · Cleaning and transforming
Drop columns
Remove columns you don't need.
df = df.drop(columns=["temp", "notes"])
Official pandas and NumPy 3 documentation
More cleaning and transforming commands
- Count missing values
- Drop rows with missing values
- Fill missing values
- Remove duplicate rows
- Rename columns
- Change a column's type
All cleaning and transforming commands · pandas and NumPy 3 cheatsheet