[EMAIL PROTECTED] wrote: > ? I thought that the point of where was > that the second expression is never used for the elements where the condition > evaluates true.
It is not used, but the expression still gets evaluated. There's really no way around that. > If this is the desired behavior, is there a way to suppress > the warning? In [1]: from numpy import * In [2]: a = zeros(3) In [3]: 1/a Warning: divide by zero encountered in divide Warning: invalid value encountered in double_scalars Out[3]: array([ inf, inf, inf]) In [4]: seterr(divide='ignore', invalid='ignore') Out[4]: {'divide': 'print', 'invalid': 'print', 'over': 'print', 'under': 'ignore'} In [5]: 1/a Out[5]: array([ inf, inf, inf]) In [6]: seterr? Type: function Base Class: <type 'function'> Namespace: Interactive File: /Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/numpy-1.0.1.dev3432-py2.5-macosx-10.4-i386.egg /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') {'over': 'ignore', 'divide': 'ignore', 'invalid': 'ignore', 'under': 'ignore'} >>> seterr(all='warn', over='raise') {'over': 'raise', 'divide': 'ignore', 'invalid': 'ignore', 'under': 'ignore'} >>> int16(32000) * int16(3) Traceback (most recent call last): File "<stdin>", line 1, in ? FloatingPointError: overflow encountered in short_scalars >>> seterr(all='ignore') {'over': 'ignore', 'divide': 'ignore', 'invalid': 'ignore', 'under': 'ignore'} -- 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 ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion