It looks right. Could you clarify why you think it might not be expected behavior? The arrays that are being constructed are of two different types. One is an integer array (first example). The rest on List<Int>. None of the lists in the examples are null (but they do contain null elements).
On Wed, Nov 18, 2020 at 11:19 AM Vibhatha Abeykoon <[email protected]> wrote: > Hello, > > I am looking into the is_null compute and observed the following. > > import pyarrow as pa > arw_ar = pa.array([1, 2, 3, 4, None]) > arw_ar_1 = pa.array([[1, 2, 3, 4, None], [11, 12, 13, None, 15]]) > arw_ar_2 = pa.array([[1, 2, 3, 4], [1, 2, 3, 4]]) > arw_ar_3 = pa.array([[None, None, None, None, None], [11, 12, 13, None, 15 > ]]) > > # Case 1 with random None value in a 1D array > > print(arw_ar.is_null()) > > # [ > # false, > # false, > # false, > # false, > # true > # ] > > # Case 2 with random None value in a 2-D array > > print(arw_ar_1.is_null()) > > # [ > # false, > # false > # ] > > # Case 3 without random None value in a 2-D array > print(arw_ar_2.is_null()) > > # [ > # false, > # false > # ] > > # Case 4 with None value in a 2-D array > print(arw_ar_3.is_null()) > # [ > # false, > # false > # ] > > Is this an expected behavior? > > > With Regards, > Vibhatha Abeykoon, > >
