Tony S Yu wrote: > Hello, > > This is something that's been bothering for awhile. When numpy raises > the following divide by zero error: >>>> Warning: divide by zero encountered in double_scalars > is there a way to get a Traceback on where that warning occurred.
In [1]: from numpy import * In [2]: seterr? Type: function Base Class: <type 'function'> Namespace: Interactive File: /Users/rkern/svn/numpy/numpy/core/numeric.py Definition: seterr(all=None, divide=None, over=None, under=None, invalid=None) Docstring: Set how floating-point errors are handled. Valid values for each type of error are the strings "ignore", "warn", "raise", and "call". Returns the old settings. If 'all' is specified, values that are not otherwise specified will be set to 'all', otherwise they will retain their old values. Note that operations on integer scalar types (such as int16) are handled like floating point, and are affected by these settings. Example: >>> seterr(over='raise') # doctest: +SKIP {'over': 'ignore', 'divide': 'ignore', 'invalid': 'ignore', 'under': 'ignore'} >>> seterr(all='warn', over='raise') # doctest: +SKIP {'over': 'raise', 'divide': 'ignore', 'invalid': 'ignore', 'under': 'ignore'} >>> int16(32000) * int16(3) # doctest: +SKIP Traceback (most recent call last): File "<stdin>", line 1, in ? FloatingPointError: overflow encountered in short_scalars >>> seterr(all='ignore') # doctest: +SKIP {'over': 'ignore', 'divide': 'ignore', 'invalid': 'ignore', 'under': 'ignore'} In [3]: seterr(divide='raise') Out[3]: {'divide': 'print', 'invalid': 'print', 'over': 'print', 'under': 'ignore'} In [4]: ones(10) / zeros(10) --------------------------------------------------------------------------- FloatingPointError Traceback (most recent call last) /Users/rkern/svn/mpl-toolkits/<ipython console> in <module>() FloatingPointError: divide by zero encountered in divide In [5]: seterr(all='ignore') Out[5]: {'divide': 'raise', 'invalid': 'print', 'over': 'print', 'under': 'ignore'} In [6]: ones(10) / zeros(10) Out[6]: array([ Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf]) -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion