pandas and NumPy 3 · Cleaning and transforming
Remove duplicate rows
Keep the first row for each email.
df = df.drop_duplicates(subset=["email"])
Official pandas and NumPy 3 documentation
More cleaning and transforming commands
- Count missing values
- Drop rows with missing values
- Fill missing values
- Rename columns
- Drop columns
- Change a column's type
All cleaning and transforming commands · pandas and NumPy 3 cheatsheet