In article <[EMAIL PROTECTED]>, "Sebastian Haase" <[EMAIL PROTECTED]> wrote:
> On 1/4/07, Sebastian Haase <[EMAIL PROTECTED]> wrote: > <snip> > > >>> N.__version__ > > '1.0.2.dev3487' > > > > in any case: inside the script it somehow generated a nan --- is > > there a bug in numpy !? > > No bug here ! see below ! > > > I remember that there was some discussion about resize !? > > What should I add to the Scipy Wiki numarray page about this ? > > ( http://www.scipy.org/Converting_from_numarray ) > > > > OK - the reference problem in my interactive shell came from the > implicit '_' variable that always references the last result. But > maybe even more worry some for the converting from numarray is this: > >>> a = N.array([5]) > >>> 999 # to kill '_' - reference > 999 > >>> a.resize(2) > >>> a > [5 0] > > in numarray you would get > >>> a = na.array([5]) > >>> a.resize(2) > [5 5] > >>> a > [5 5] > > !! why is numpy filling with 0s and numarray repeats (cycles I think > is more what it does !) the last element(s) ?? > > How did numeric do this ? Here's what I get for Numeric 24.2: >>> import Numeric as N >>> a = N.array([5]) >>> a array([5]) >>> a.resize(2) Traceback (most recent call last): File "<stdin>", line 1, in <module> ValueError: cannot resize an array that has been referenced or is referencing another array in this way. Use the resize function. >>> N.resize(a, 2) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-pac kages/Numeric/Numeric.py", line 422, in resize total_size = multiply.reduce(new_shape) ValueError: dimension not in array >>> N.resize(a, [2]) array([5, 5]) _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
