[Numpy-discussion] RuntimeWarning: divide by zero encountered in log

[Neal Becker]

Nathaniel Smith wrote:

> On 16 May 2013 19:48, "Jonathan Helmus" <jjhelmus at gmail.com> wrote:
>>
>> On 05/16/2013 01:42 PM, Neal Becker wrote:
>> > Is there a way to get a traceback instead of just printing the
>> > line that triggered the error?
>> >
>> > _______________________________________________
>> > NumPy-Discussion mailing list
>> > NumPy-Discussion at scipy.org
>> > http://mail.scipy.org/mailman/listinfo/numpy-discussion
>> Neal,
>>
>>      Look at the numpy.seterr function.  You can use it to change how
>> floating-point errors are handled, including raising a
>> FloatingPointError with a traceback as opposed to printing a
>> RuntimeWarning.
>>
>> Example
>>
>> $ cat foo.py
>> import numpy as np
>>
>> np.seterr(divide='raise')
>>
>> a = np.array([1,1,1], dtype='float32')
>> a / 0
>>
>> $ python foo.py
>> Traceback (most recent call last):
>>    File "test.py", line 6, in <module>
>>      a / 0
>> FloatingPointError: divide by zero encountered in divide
> 
> You also have the option of using Python's general ability to customize how
> any warning is handled - see the 'warnings' module and -W switch.
> 
> If you just want a traceback printed without an exception then I think you
> can do that with np.seterr too (using np.seterrcall).
> 
> -n

I tried this:

import traceback

np.seterrcall (lambda a,b: traceback.print_stack)
np.seterr (all='call')
np.seterrcall (lambda a,b: traceback.print_stack)

but it doesn't seem to do anything, I still see numpy warning as before.