jorisvandenbossche commented on code in PR #13989:
URL: https://github.com/apache/arrow/pull/13989#discussion_r957117433
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python/pyarrow/array.pxi:
##########
@@ -2478,6 +2478,53 @@ cdef class DictionaryArray(Array):
return self._indices
+ @staticmethod
+ def from_buffers(DataType type, int64_t length, buffers, Array dictionary,
+ int64_t null_count=-1, int64_t offset=0):
+ """
+ Construct a DictionaryArray from buffers.
+
+ Parameters
+ ----------
+ type : pyarrow.DataType
+ length : int
+ The number of values in the array.
+ buffers : List[Buffer]
+ The buffers backing this array.
+ dictionary : pyarrow.Array, ndarray or pandas.Series
+ The array of values referenced by the indices.
+ null_count : int, default -1
+ The number of null entries in the array. Negative value means that
+ the null count is not known.
+ offset : int, default 0
+ The array's logical offset (in values, not in bytes) from the
+ start of each buffer.
+
+ Returns
+ -------
+ dict_array : DictionaryArray
+ """
+ cdef:
+ vector[shared_ptr[CBuffer]] c_buffers
+ shared_ptr[CDataType] c_type
+ shared_ptr[CArrayData] c_data
+ shared_ptr[CArray] c_result
+
+ for buf in buffers:
+ c_buffers.push_back(pyarrow_unwrap_buffer(buf))
+
+ c_type = pyarrow_unwrap_data_type(type)
+
+ with nogil:
+ c_data = CArrayData.Make(
+ c_type, length, c_buffers, null_count, offset)
+ c_data.get().dictionary = dictionary.sp_array.get().data()
Review Comment:
There is a `ArrayData::Make` variant that directly accepts a dictionary, but
that might not be worth exposing for just this one line.
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