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https://issues.apache.org/jira/browse/SPARK-36779?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-36779:
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Assignee: Apache Spark
> Fix when list of data type tuples has len = 1
> ---------------------------------------------
>
> Key: SPARK-36779
> URL: https://issues.apache.org/jira/browse/SPARK-36779
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 3.3.0
> Reporter: dgd_contributor
> Assignee: Apache Spark
> Priority: Major
>
> {code:python}
> >>> ps.DataFrame[("a", int), [int]]
> typing.Tuple[pyspark.pandas.typedef.typehints.IndexNameType, int]
> >>> ps.DataFrame[("a", int), [("b", int)]]
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/Users/dgd/spark/python/pyspark/pandas/frame.py", line 11998, in
> __class_getitem__
> return create_tuple_for_frame_type(params)
> File "/Users/dgd/spark/python/pyspark/pandas/typedef/typehints.py", line
> 685, in create_tuple_for_frame_type
> return Tuple[extract_types(params)]
> File "/Users/dgd/spark/python/pyspark/pandas/typedef/typehints.py", line
> 755, in extract_types
> return (index_type,) + extract_types(data_types)
> File "/Users/dgd/spark/python/pyspark/pandas/typedef/typehints.py", line
> 770, in extract_types
> raise TypeError(
> TypeError: Type hints should be specified as one of:
> - DataFrame[type, type, ...]
> - DataFrame[name: type, name: type, ...]
> - DataFrame[dtypes instance]
> - DataFrame[zip(names, types)]
> - DataFrame[index_type, [type, ...]]
> - DataFrame[(index_name, index_type), [(name, type), ...]]
> - DataFrame[dtype instance, dtypes instance]
> - DataFrame[(index_name, index_type), zip(names, types)]
> However, got [('b', <class 'int'>)].
> {code}
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