raulcd opened a new issue, #46771: URL: https://github.com/apache/arrow/issues/46771
### Describe the enhancement requested There were some concerns after the following PR was merged on the performance about it: - https://github.com/apache/arrow/pull/46732 I've tested with both previous case and new case the with the following: Previously to the PR using numpy: ```python In [2]: a = pa.array(np.arange(0, 2_000_000)) In [3]: %timeit a[slice(1, 1_000_000, 2)] 763 μs ± 4.28 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each) ``` After the PR using Python object: ```python In [2]: a = pa.array(np.arange(0, 2_000_000)) In [3]: %timeit a[slice(1, 1_000_000, 2)] 25.7 ms ± 703 μs per loop (mean ± std. dev. of 7 runs, 10 loops each) ``` We should probably use `np.arange` if numpy is available otherwise revert to using a Python object. We could also potentially add the possibility for Array::Slice to have a step attribute being able to remove some of the custom code and just use step internally. ### Component(s) Python -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@arrow.apache.org.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
