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https://issues.apache.org/jira/browse/ARROW-640?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16404189#comment-16404189
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Alex Hagerman commented on ARROW-640:
-------------------------------------
I've added the __hash__ for ints and opened a PR. __eq__ was already in place
using as_py() in relation to the original ticket. Happy to look into the other
types and explore different ways to handle hashing them as well as any
extension of as_py that might be needed if some direction or new tickets could
be provided. Otherwise I'll look at what else is open that I might be able to
help with.
Timing information is below.
import pyarrow as pa
arr = pa.array([1,1,2,1])
a = arr[0]
%timeit a.__hash__()
265 ns ± 1.72 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)
> [Python] Arrow scalar values should have a sensible __hash__ and comparison
> ---------------------------------------------------------------------------
>
> Key: ARROW-640
> URL: https://issues.apache.org/jira/browse/ARROW-640
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Reporter: Miki Tebeka
> Assignee: Alex Hagerman
> Priority: Major
> Fix For: 0.10.0
>
>
> {noformat}
> In [86]: arr = pa.from_pylist([1, 1, 1, 2])
> In [87]: set(arr)
> Out[87]: {1, 2, 1, 1}
> In [88]: arr[0] == arr[1]
> Out[88]: False
> In [89]: arr
> Out[89]:
> <pyarrow.array.Int64Array object at 0x7f8c8c739e08>
> [
> 1,
> 1,
> 1,
> 2
> ]
> {noformat}
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