[Numpy-discussion] NA masks for NumPy are ready to test
Fri Aug 19 15:04:15 CDT 2011
On Fri, Aug 19, 2011 at 9:15 PM, Mark Wiebe <firstname.lastname@example.org> wrote:
> On Fri, Aug 19, 2011 at 11:37 AM, Bruce Southey <email@example.com>wrote:
>> Just some immediate minor observations that are really about trying to
>> be consistent:
>> 1) Could you keep the display of the NA dtype be the same as the array?
>> For example, NA dtype is displayed as '<f8' but should be displayed as
>> 'float64' as that is the array dtype.
>> >>> a=np.array([[1,2,3,np.NA], [3,4,np.nan,5]])
>> >>> a
>> array([[ 1., 2., 3., NA],
>> [ 3., 4., nan, 5.]])
>> >>> a.dtype
>> >>> a.sum()
> I suppose I can do it that way, sure. I think it would be good to change
> the 'float64' into '<float64' at some point, so it's a more portable repr.
I don't think that looks better. It would also screws up people's doctests
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