Hi,
> Thank you very much, I think this added documentation is pretty recent;
> I have never seen it before, and I did a lot a mex programming at some
> point... This whole mxarray nonsense reminds me why I gave up on matlab :),
I would be very happy to help with this. It would be great if we
co
Hi,
I notice that the value for:
zeros((1,), dtype=object).dtype.hasobject
is now 63, whereas previously it had been 1. Is this intended?
Thanks,
Matthew
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Hi,
I am sorry, I am still struggling with object arrays - and here -
numpy data types. Is there any easy way to explain why comparisons
with numpy types give a different output from comparisons with
non-numpy types:
In [108]:oa = zeros((1,), dtype=object)
In [109]:oa == int
Out[109]:array([Fal
Hi,
On 10/5/06, Martin Wiechert <[EMAIL PROTECTED]> wrote:
> Hi list,
>
> when I try to assign a sequence as an element of an object array via flat
> indexing only the first element of the sequence is assigned:
I've also been having trouble with flat on object arrays.
Is this intended?
In [1]:
Hi,
I am sorry if I have missed anything obvious here, but is there a fast
simple way to downcast an array to the smallest storage that hold
array data within a specified precision - e.g.
a = array([1.0])
small_a = fantasy_function(a, rtol=1.0001e-05, atol=1e-08 )
b = array([1.2])
sm
> So, you can think of the test as
>
> if dtype(...):
>print "Data-type has fields:"
> else:
>print "Data-type does not have fields:"
Thank you as ever for your very clear and helpful explanation,
Best,
Matthew
-
Ta
Hi,
Forgive my ignorance, but why is this?
In [1]:from numpy import *
In [2]:if not dtype('http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV
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Hi,
> It's in the array interface specification:
>
> http://numpy.scipy.org/array_interface.shtml
I was interested in the 't' (bitfield) type - is there an example of
usage somewhere?
In [13]: dtype('t8')
---
exceptions.Type
Hi,
> > You have to be logged in to the Trac site. If you have SVN write access
> > you should be able to log in. Then there is a "resolution" section at
> > the very bottom.
>
> Ah, that works. I orignally tried to register and discovered that charris
> was already taken and I didn't know what
Hi,
I noticed this works:
In [5]:a = array((1,), dtype=[('one', 'http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV
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Hi,
As expected:
In [67]:a = array([1], dtype='i4').dtype
Out[68]:dtype('>i4')
I was also expecting this to work for 0d arrays, but it doesn't:
In [69]:a = array(1, dtype='i4').dtype
Out[70]:dtype('http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV
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Hi,
> For example, if you do array([a,b,c]).shape(), the answer is normally
> (3,) unless a b and c happen to all be lists of the same length, at
> which point your array could have a much more complicated shape... but
> as the person who wrote "array([a,b,c])" it's tempting to assume that
> the r
Hi,
I was surprised by this - but maybe I shouldn't have been:
In [7]:iscomplex('a')
Out[7]:True
In [8]:iscomplex(u'a')
Out[8]:True
Best,
Matthew
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Hi,
> This is a result of PyArray_FromAny changing when object arrays are
> explicitly requested (which they are in this case --- although behind
> the scenes).
Hmm - I think I am hitting a related bug/feature/surprising change in
behavior, which is showing up rather obscurely in a failure of the
Hi,
I am sorry if this is obvious, but:
I am working on the scipy loadmat module, and would like to use numpy
to reformat the fortran order arrays that matlab saves. I was not
sure how to do this, and would like to ask for advice.
Let us say that I have some raw binary data as a string. The da
Hi,
Sorry if this is silly question, but should this work to convert from
int8 to character type?
a = array([104, 105], dtype=N.int8)
a.astype('|S1')
I was a bit surprised by the output:
array([1, 1],
dtype='|S1')
Thanks a lot,
Matthew
--
Oh dear, I hope my friends remind me never to let anyone record what I
say when I give a class!
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On 7/31/06, Robert Kern <[EMAIL PROTECTED]> wrote:
> Louis Cordier wrote:
> > Hmmm, I think people are spreading "fud" (lower case)...
> > http://media.libsyn.com/media/awaretek/Python411_060530_Numeric.mp3
>
> Can you give us a synopsis? or point us to when exactly in the clip we're
> supposed to
Hi,
Just in case this was new information:
==
ERROR: check_singleton (numpy.lib.tests.test_getlimits.test_longdouble)
--
Traceback (most recent call last):
Fil
Just one more vote for float.
On the basis that Travis mentioned, of all those first-timers
downloading, trying, finding something they didn't expect that was
rather confusing, and giving up.
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