withMetadata

Returns a new DataFrame by updating an existing column with metadata.

Syntax

withMetadata(columnName: str, metadata: Dict[str, Any])

Parameters

Parameter	Type	Description
columnName	str	string, name of the existing column to update the metadata.
metadata	dict	dict, new metadata to be assigned to df.schema[columnName].metadata.

Returns

DataFrame: DataFrame with updated metadata column.

Examples

Python

df = spark.createDataFrame([(2, "Alice"), (5, "Bob")], schema=["age", "name"])
df_meta = df.withMetadata('age', {'foo': 'bar'})
df_meta.schema['age'].metadata
# {'foo': 'bar'}