rok commented on code in PR #40354:
URL: https://github.com/apache/arrow/pull/40354#discussion_r1554586293
##########
python/pyarrow/array.pxi:
##########
@@ -4320,6 +4320,134 @@ cdef class FixedShapeTensorArray(ExtensionArray):
)
+cdef class VariableShapeTensorArray(ExtensionArray):
+ """
+ Concrete class for variable shape tensor extension arrays.
+
+ Examples
+ --------
+ Define the extension type for tensor array
+
+ >>> import pyarrow as pa
+ >>> tensor_type = pa.variable_shape_tensor(pa.float64(), 2)
+
+ Create an extension array
+
+ >>> shapes = pa.array([[2, 3], [1, 2]], pa.list_(pa.int32(), 2))
+ >>> values = pa.array([[1, 2, 3, 4, 5, 6], [7, 8]], pa.list_(pa.float64()))
+ >>> arr = pa.StructArray.from_arrays([shapes, values], names=["shape",
"data"])
+ >>> pa.ExtensionArray.from_storage(tensor_type, arr)
+ <pyarrow.lib.VariableShapeTensorArray object at ...>
+ -- is_valid: all not null
+ -- child 0 type: fixed_size_list<item: int32>[2]
+ [
+ [
+ 2,
+ 3
+ ],
+ [
+ 1,
+ 2
+ ]
+ ]
+ -- child 1 type: list<item: double>
+ [
+ [
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6
+ ],
+ [
+ 7,
+ 8
+ ]
+ ]
+ """
+
+ @staticmethod
+ def from_numpy_ndarray(obj):
+ """
+ Convert a list of numpy arrays ndarrays to a variable shape tensor
extension array.
+ The length of the list will become the length of the variable shape
tensor array.
+
+ Parameters
+ ----------
+ obj : list of numpy.ndarray
+
+ Examples
+ --------
+ >>> import pyarrow as pa
+ >>> import numpy as np
+ >>> ndarray_list = [
+ ... np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32),
+ ... np.array([[7, 8]], dtype=np.float32),
Review Comment:
Added a check (`>>> assert len(ndarray_list) == arr.length`) below for
clarity. Thanks!
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