pandas and NumPy 3 · Cleaning and transforming
Count missing values
Count the missing values in each column.
df.isna().sum()
Official pandas and NumPy 3 documentation
More cleaning and transforming commands
- Drop rows with missing values
- Fill missing values
- Remove duplicate rows
- Rename columns
- Drop columns
- Change a column's type
All cleaning and transforming commands · pandas and NumPy 3 cheatsheet