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The following commit(s) were added to refs/heads/master by this push: new 167bad1 ARROW-5790: [Python] Raise error when trying to convert 0-dim array in pa.array 167bad1 is described below commit 167bad1a4db9f4aa597d90d6c4a5f8bcd41dccbf Author: Joris Van den Bossche <jorisvandenboss...@gmail.com> AuthorDate: Wed Jul 10 13:38:06 2019 +0200 ARROW-5790: [Python] Raise error when trying to convert 0-dim array in pa.array https://issues.apache.org/jira/browse/ARROW-5790 In the `NumPyConverter` constructor, we access the strides of the array with `PyArray_STRIDES(arr_)[0]`, so need to ensure that the array is 1D before passing it there. Author: Joris Van den Bossche <jorisvandenboss...@gmail.com> Closes #4837 from jorisvandenbossche/ARROW-5790 and squashes the following commits: cc66365af <Joris Van den Bossche> ARROW-5790: raise error when trying to convert 0-dim array in pa.array --- cpp/src/arrow/python/numpy_to_arrow.cc | 3 +++ python/pyarrow/tests/test_array.py | 11 +++++++++++ 2 files changed, 14 insertions(+) diff --git a/cpp/src/arrow/python/numpy_to_arrow.cc b/cpp/src/arrow/python/numpy_to_arrow.cc index b353a1e..811a31f 100644 --- a/cpp/src/arrow/python/numpy_to_arrow.cc +++ b/cpp/src/arrow/python/numpy_to_arrow.cc @@ -800,6 +800,9 @@ Status NdarrayToArrow(MemoryPool* pool, PyObject* ao, PyObject* mo, bool from_pa if (!PyArray_Check(ao)) { return Status::Invalid("Input object was not a NumPy array"); } + if (PyArray_NDIM(reinterpret_cast<PyArrayObject*>(ao)) != 1) { + return Status::Invalid("only handle 1-dimensional arrays"); + } NumPyConverter converter(pool, ao, mo, type, from_pandas, cast_options); RETURN_NOT_OK(converter.Convert()); diff --git a/python/pyarrow/tests/test_array.py b/python/pyarrow/tests/test_array.py index f961c00..387b650 100644 --- a/python/pyarrow/tests/test_array.py +++ b/python/pyarrow/tests/test_array.py @@ -1147,6 +1147,17 @@ def test_array_from_masked(): pa.array(ma, mask=np.array([True, False, False, False])) +def test_array_from_invalid_dim_raises(): + msg = "only handle 1-dimensional arrays" + arr2d = np.array([[1, 2, 3], [4, 5, 6]]) + with pytest.raises(ValueError, match=msg): + pa.array(arr2d) + + arr0d = np.array(0) + with pytest.raises(ValueError, match=msg): + pa.array(arr0d) + + def test_buffers_primitive(): a = pa.array([1, 2, None, 4], type=pa.int16()) buffers = a.buffers()