Re: [Numpy-discussion] Passing numpy arrays to matlab
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 could get a standard well-maintained library of some sort towards scipy - we (http://neuroimaging.scipy.org/) have a great deal of matlab integration to do. Best, Matthew - 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=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
[Numpy-discussion] dtype.hasobject value
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 - 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=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
[Numpy-discussion] Numpy types and object comparison
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([False], dtype=bool) In [110]:oa == int32 Out[110]:False Many thanks for your patience, Matthew - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.phpp=sourceforgeCID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] flat indexing of object arrays
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]: from numpy import * In [2]: a = arange(2) In [3]: a[1] Out[3]: 1 In [4]: a.flat[1] Out[4]: 1 In [5]: b = array([a], dtype=object) In [6]: b[1] --- exceptions.IndexErrorTraceback (most recent call last) /home/mb312/devel_trees/scipy/Lib/io/ipython console IndexError: index out of bounds In [7]: b.flat[1] Out[7]: 1 Best, Matthew - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.phpp=sourceforgeCID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
[Numpy-discussion] Downcasting to smallest storage
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]) small_b = fantasy_function(b, tol=1.0001e-05, atol=1e-08) where a.dtype becomes, say, uint8, and b.dtype becomes float32? Thanks a lot, Matthew - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.phpp=sourceforgeCID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
[Numpy-discussion] dtype truth value
Hi,
Forgive my ignorance, but why is this?
In [1]:from numpy import *
In [2]:if not dtype('f8'):
...:print 'Truth value is no'
...:
...:
Truth value is no
Best,
Matthew
-
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Re: [Numpy-discussion] dtype truth value
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 - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.phpp=sourceforgeCID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] arr.dtype.kind is 'i' for dtype=unit !?
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.TypeError Traceback (most
recent call last)
/home/mb312/python/ipython console
TypeError: data type not understood
Best,
Matthew
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[Numpy-discussion] iscomplex on strings
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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Re: [Numpy-discussion] Problem with concatenate and object arrays
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 result has shape (3,), only to discover subtle bugs much later. Very much agree with this. If we were writing an array-creation function from scratch, would there be any reason to include object-array creation in the same function as uniform array creation? It seems like a bad idea to me. If not, the problem is just compatibility with Numeric. Why not simply write a wrapper function in python that does Numeric-style guesswork, and put it in the compatibility modules? How much code will actually break? Can I encourage any more comments? This suggestion seems very sensible to me, and I guess this is our very last chance to change this. The current behavior does seem to violate least surprise - at least to my eye. Best, Matthew - 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=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
[Numpy-discussion] astype char conversion
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
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Re: [Numpy-discussion] numpy vs numarray
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 listen? Er, I didn't listen to the whole thing, but there are some references to numpy being difficult to install under platforms other than windows (arguable I guess), I got the impression the speaker was conflating the enthon distribution with scipy, and he says at one point that numarray is the successor to numpy. Not fud exactly, but a bit misleading. Matthew - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.phpp=sourceforgeCID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy vs numarray
Oh dear, I hope my friends remind me never to let anyone record what I say when I give a class! - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.phpp=sourceforgeCID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
