Details
-
Improvement
-
Status: Resolved
-
Major
-
Resolution: Fixed
-
None
Description
We support casting a DictionaryArray to its dictionary values' type. For example:
>>> arr = pa.array([1, 2, 1]).dictionary_encode()
>>> arr
<pyarrow.lib.DictionaryArray object at 0x7f0c1aca46d0>
-- dictionary:
[
1,
2
]
-- indices:
[
0,
1,
0
]
>>> arr.type
DictionaryType(dictionary<values=int64, indices=int32, ordered=0>)
>>> arr.cast(arr.type.value_type)
<pyarrow.lib.Int64Array object at 0x7f0c19891dc0>
[
1,
2,
1
]
However, if the type of the dictionary values is an ExtensionType, this cast is not supported:
>>> from pyarrow.tests.test_extension_type import UuidType >>> storage = pa.array([b"0123456789abcdef"], type=pa.binary(16)) >>> arr = pa.ExtensionArray.from_storage(UuidType(), storage) >>> arr <pyarrow.lib.ExtensionArray object at 0x7f0c1875bc40> [ 30313233343536373839616263646566 ] >>> dict_arr = pa.DictionaryArray.from_arrays(pa.array([0, 0], pa.int32()), arr) >>> dict_arr.type DictionaryType(dictionary<values=extension<arrow.py_extension_type<UuidType>>, indices=int32, ordered=0>) >>> dict_arr.cast(UuidType()) ... ArrowNotImplementedError: Unsupported cast from dictionary<values=extension<arrow.py_extension_type<UuidType>>, indices=int32, ordered=0> to extension<arrow.py_extension_type<UuidType>> (no available cast function for target type) ../src/arrow/compute/cast.cc:119 GetCastFunctionInternal(cast_options->to_type, args[0].type().get())
Attachments
Issue Links
- is depended upon by
-
ARROW-14525 [C++][Parquet] Writing DictionaryArrays with ExtensionType to Parquet
- Open
-
ARROW-14569 [C++][Python] Support for pandas Categoricals with Intervals
- Open
- relates to
-
ARROW-14500 [C++] Support casting from storage type to extension type
- Resolved
- links to