BUG: IntervalArray.__cmp__(pd.NA) #44830
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jreback requested changes Dec 9, 2021
| elif isinstance(obj, pd.core.arrays.BooleanArray): | ||
| return obj | ||
| elif isinstance(dtype, IntervalDtype): | ||
| return pd.core.arrays.IntervalArray(obj) |
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can you use is_interval_dtype to be consistent
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| Perf! Have another branch that will move them all to the faster version …On Thu, Dec 9, 2021 at 3:52 PM Jeff Reback ***@***.***> wrote: ***@***.**** requested changes on this pull request. ------------------------------ In pandas/_testing/__init__.py <#44830 (comment)>: > @@ -282,6 +283,10 @@ def to_array(obj): return DatetimeArray._from_sequence(obj) elif is_timedelta64_dtype(dtype): return TimedeltaArray._from_sequence(obj) + elif isinstance(obj, pd.core.arrays.BooleanArray): + return obj + elif isinstance(dtype, IntervalDtype): + return pd.core.arrays.IntervalArray(obj) can you use is_interval_dtype to be consistent — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#44830 (review)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AB5UM6HGLKEGVOJT24XOAJTUQE6LRANCNFSM5JXPZ4BA> . Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>. |
jreback approved these changes Dec 11, 2021
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| if you can add a whatsnew in followon |
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Could repurpose #31882 to be about the more general case and not just IntervalArray?
DataFrame cases fail in a way that would be avoided with 2D EAs.