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I've had some 32-bit issues while working on removing Int64Index and friends from the code base. One issue that I would appreciate input on the the desired dtype for numeric indexes on 32-bit systems. Currently we have (for 32-bit systems):
IMO these two should have the same dtype and because changing Series would break backwards compatability, I'd say that NumericIndex([1, 2, 3]).dtype should be dtype('int64')
Do you agree with me on this, or is there a need for discussion?
Added: BTW, NumericIndex will of course be removed also for pandas 2.0 and numerical functionality included in Index (as we previously have discussed), so the above question is the same as asking if in pandas 2.0 Index([1, 2, 3]).dtype should be int32 or int64 on 32-bit systems.
The text was updated successfully, but these errors were encountered:
I've had some 32-bit issues while working on removing
Int64Index
and friends from the code base. One issue that I would appreciate input on the the desired dtype for numeric indexes on 32-bit systems. Currently we have (for 32-bit systems):IMO these two should have the same dtype and because changing
Series
would break backwards compatability, I'd say thatNumericIndex([1, 2, 3]).dtype
should bedtype('int64')
Do you agree with me on this, or is there a need for discussion?
Added: BTW,
NumericIndex
will of course be removed also for pandas 2.0 and numerical functionality included inIndex
(as we previously have discussed), so the above question is the same as asking if in pandas 2.0Index([1, 2, 3]).dtype
should be int32 or int64 on 32-bit systems.The text was updated successfully, but these errors were encountered: