pandas and NumPy 3 · Cleaning and transforming
Fill missing values
Replace missing values in a column with a default.
df["age"] = df["age"].fillna(df["age"].median())
Official pandas and NumPy 3 documentation
More cleaning and transforming commands
- Count missing values
- Drop rows with missing values
- Remove duplicate rows
- Rename columns
- Drop columns
- Change a column's type
All cleaning and transforming commands · pandas and NumPy 3 cheatsheet