Nóta
Aðgangur að þessari síðu krefst heimildar. Þú getur prófað aðskrá þig inn eða breyta skráasöfnum.
Aðgangur að þessari síðu krefst heimildar. Þú getur prófað að breyta skráasöfnum.
Returns the Row as Dict[str, Any].
Syntax
asDict(recursive: bool = False)
Parameters
| Parameter | Type | Description |
|---|---|---|
recursive |
bool, optional | Turns the nested Rows to dict (default: False). |
Returns
Dict[str, Any]
Notes
If a row contains duplicate field names, for example, 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