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BUG: abs with nan on 64-bit floats on 32-bit platform? #7440
Description
occurs also on 1.10.4
[pandas_test] C:\Miniconda3-32\Scripts>python
Python 2.7.11 |Continuum Analytics, Inc.| (default, Jan 29 2016, 15:36:56) [MSC v.1500 32 bit (Intel)] on win32
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>>> import numpy as np
>>> np.__version__
'1.9.2'
>>> np.abs(np.array([0,np.nan],dtype='float64'))
__main__:1: RuntimeWarning: invalid value encountered in absolute
array([ 0., nan])
>>>
you are giving a warning, but not sure why are not handling it.
Activity
njsmith commentedon Mar 20, 2016
What's the bug? You expected the same result, but without the warning printed?
jreback commentedon Mar 20, 2016
doens't show a warning on 64-bit. so the bug is the warning, which seems like its not working.
WarrenWeckesser commentedon Sep 24, 2021
This issue is over five years old and hasn't had any comments since the day it was created. Can anyone reproduce the spurious warning with a recent release of NumPy on a 32-bit Windows platform with a supported version of Python?
mattip commentedon Sep 25, 2025
Closing, please reopen if you succeed in reproducing.