On Friday 02 March 2007 16:10:53 Christopher Barker wrote:
> Hi all,
>
> Should array_equal work with non-numeric types?
I'm all for that. I was regularly running into that problem when comparing
object arrays or chararrays, that's why I modified assert_equal in
the "maskedarray" version of test
On 3/2/07, Andrew Straw <[EMAIL PROTECTED]> wrote:
> Perry Greenfield wrote:
> > On Feb 28, 2007, at 7:32 PM, Joe Harrington wrote:
> >
> >
> >
> >
> I believe the reference is to this: http://scipy.org/NumPy_for_Matlab_Users
That page also has this link at the bottom:
http://37mm.no/matlab-python
Hi all,
Should array_equal work with non-numeric types?
>>> a
array(['a', 'b', 'c', 'd', 'e', 'f', 'g'],
dtype='|S1')
>>> b = a.copy()
>>> a == b
array([True, True, True, True, True, True, True], dtype=bool)
>>> numpy.array_equal(a,b)
Traceback (most recent call last):
File "", line
David Huard wrote:
> I don't know how far we can disgress from the reST syntax using
> those plugins, but it's probably something worth looking at.
Digression => maintenance burden.
Cheers,
Alan Isaac
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To get back to the original subject of the thread, there has been a commit
today on the docutils plugins branch that allows folks to write their own
parser/writer and somehow include it in docutils, without having to rebuild
docutils. In other words, NumPy could define a plugin, and if docutils is
>
> I won't comment on the code itself.
Appreciate it :). Again, I'm just pointing out an example! I would
guess that I'm not the only person using numpy in this sort of
unsophisticated manner!
Tell us what you want to do and I
> bet we can speed it up.
>
> Chuck
I'll probably do that in
Hi everybody once again,
We have done a new micro-release of the second alpha of PyTables 2.0,
PyTables 2.0a2a. This fixes a missing import (thanks to Antonio
Valentino and Steven H. Rogers for the information) and missing images
in the HTML version of the manual in the 2.0a2 version released
yes
