kszucs commented on a change in pull request #7519:
URL: https://github.com/apache/arrow/pull/7519#discussion_r448589857
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File path: python/pyarrow/scalar.pxi
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@@ -1217,21 +764,50 @@ cdef dict _scalar_classes = {
_Type_INT16: Int16Scalar,
_Type_INT32: Int32Scalar,
_Type_INT64: Int64Scalar,
+ _Type_HALF_FLOAT: HalfFloatScalar,
_Type_FLOAT: FloatScalar,
_Type_DOUBLE: DoubleScalar,
+ _Type_DECIMAL: Decimal128Scalar,
+ _Type_DATE32: Date32Scalar,
+ _Type_DATE64: Date64Scalar,
+ _Type_TIME32: Time32Scalar,
+ _Type_TIME64: Time64Scalar,
+ _Type_TIMESTAMP: TimestampScalar,
+ _Type_DURATION: DurationScalar,
+ _Type_BINARY: BinaryScalar,
+ _Type_LARGE_BINARY: LargeBinaryScalar,
+ _Type_FIXED_SIZE_BINARY: FixedSizeBinaryScalar,
_Type_STRING: StringScalar,
+ _Type_LARGE_STRING: LargeStringScalar,
+ _Type_LIST: ListScalar,
+ _Type_LARGE_LIST: LargeListScalar,
+ _Type_FIXED_SIZE_LIST: FixedSizeListScalar,
+ _Type_STRUCT: StructScalar,
+ _Type_MAP: MapScalar,
+ _Type_DICTIONARY: DictionaryScalar,
+ _Type_SPARSE_UNION: UnionScalar,
+ _Type_DENSE_UNION: UnionScalar,
}
-cdef object box_scalar(DataType type, const shared_ptr[CArray]& sp_array,
- int64_t index):
- cdef ArrayValue value
- if type.type.id() == _Type_NA:
- return _NULL
- elif sp_array.get().IsNull(index):
- return _NULL
- else:
- klass = _array_value_classes[type.type.id()]
- value = klass.__new__(klass)
- value.init(type, sp_array, index)
- return value
+def scalar(value, DataType type=None, bint safe=True,
+ MemoryPool memory_pool=None):
+ cdef:
+ PyConversionOptions options
+ shared_ptr[CScalar] scalar
+ shared_ptr[CArray] array
+ shared_ptr[CChunkedArray] chunked
+
+ options.size = 1
+ options.pool = maybe_unbox_memory_pool(memory_pool)
+ # options.from_pandas = from_pandas
Review comment:
Implemented it.
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