error using all()/numpy [TypeError: cannot perform reduce with flexible type]

[I V]

On Fri, 23 May 2008 00:12:35 -0700, Marc Oldenhof wrote:
> It seems that Python calls numpy's "all" instead of the standard one, is
> that right? If so, how can I call the standard "all" after the numpy
> import? ["import numpy" is not a desirable option, I use a lot of math
> in my progs]

I think the ideal solution is to try and persuade yourself that typing 
"numpy." in front of some functions now and then is not that big a price 
to pay to avoid name collisions; using an editor with code completion 
would probably help in that task.

You could also try:

import numpy as n

which reduces the typing a bit and limits you to one possible name 
collision, or

from numpy import array, gradient #and whatever else you need

or 

import numpy

array = numpy.array
gradient = numpy.gradient # Then you can access the names you use a lot 
		 	  # directly, while accessing stuff you use less
			  # frequently via numpy.whatever

in which case you'll know exactly which names you're overwriting. Peter's 
solution, of explicitly deleting some names that you've imported, strikes 
me as less good, because you might find the same problem recurs later, if 
the numpy developers add new names to the module.