pyspark.sql.Row.asDict¶

Row.asDict(recursive: bool = False) → Dict[str, Any][source]¶

Return as a dict

Parameters

recursivebool, optional: turns the nested Rows to dict (default: False).

Notes

If a row contains duplicate field names, e.g., the rows of a join between two DataFrame that both have the fields of same names, one of the duplicate fields will be selected by asDict. __getitem__ will also return one of the duplicate fields, however returned value might be different to asDict.

Examples

>>> from pyspark.sql import Row
>>> Row(name="Alice", age=11).asDict() == {'name': 'Alice', 'age': 11}
True
>>> row = Row(key=1, value=Row(name='a', age=2))
>>> row.asDict() == {'key': 1, 'value': Row(name='a', age=2)}
True
>>> row.asDict(True) == {'key': 1, 'value': {'name': 'a', 'age': 2}}
True

Row

Functions