[Numpy-discussion] nan_to_num and bool arrays

[Nicolas Rougier]

I've created a ticket (#1327).

Nicolas

On Dec 11, 2009, at 17:21 , Keith Goodman wrote:

> On Fri, Dec 11, 2009 at 12:50 AM, Nicolas Rougier
> <Nicolas.Rougier at loria.fr> wrote:
>> 
>> Hello,
>> 
>> Using both numpy 1.3.0 and 1.4.0rc1 I got the following exception using
>> nan_to_num on a bool array, is that the expected behavior ?
>> 
>> 
>>>>> import numpy
>>>>> Z = numpy.zeros((3,3),dtype=bool)
>>>>> numpy.nan_to_num(Z)
>> Traceback (most recent call last):
>>  File "<stdin>", line 1, in <module>
>>  File "/usr/lib/python2.6/dist-packages/numpy/lib/type_check.py", line
>> 374, in nan_to_num
>>    maxf, minf = _getmaxmin(y.dtype.type)
>>  File "/usr/lib/python2.6/dist-packages/numpy/lib/type_check.py", line
>> 307, in _getmaxmin
>>    f = getlimits.finfo(t)
>>  File "/usr/lib/python2.6/dist-packages/numpy/core/getlimits.py", line
>> 103, in __new__
>>    raise ValueError, "data type %r not inexact" % (dtype)
>> ValueError: data type <type 'numpy.bool_'> not inexact
> 
> I guess a check for bool could be added at the top of nan_to_num. If
> the input x is a bool then nan_to_num would just return x unchanged.
> Or perhaps
> 
> maxf, minf = _getmaxmin(y.dtype.type)
> 
> could return False, True.
> 
> Best bet is probably to file a ticket. And then pray.
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