jorisvandenbossche commented on code in PR #36242:
URL: https://github.com/apache/arrow/pull/36242#discussion_r1245514344
##########
python/pyarrow/table.pxi:
##########
@@ -1487,6 +1487,16 @@ cdef class _Tabular(_PandasConvertible):
return _PyArrowDataFrame(self, nan_as_null, allow_copy)
+ def __array__(self, dtype=None):
+ column_arrays = [
+ np.asarray(self.column(i), dtype=dtype) for i in
range(self.num_columns)
+ ]
+ if column_arrays:
+ arr = np.stack(column_arrays, axis=1)
+ else:
+ arr = np.empty((self.num_rows, 0), dtype=dtype)
Review Comment:
Yes, that is possible, you can have a table with a know number of rows but
without columns:
```
In [16]: table = pa.table({'a': [1, 2, 3]}).select([])
In [17]: table
Out[17]:
pyarrow.Table
----
In [18]: table.num_rows
Out[18]: 3
In [19]: table.num_columns
Out[19]: 0
```
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