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=lnk&kid=120709&bid=263057&dat=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=lnk&kid=120709&bid=263057&dat=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.php&p=sourceforge&CID=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/ 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.php&p=sourceforge&CID=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.php&p=sourceforge&CID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
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.php&p=sourceforge&CID=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('http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV
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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/
TypeError: data type not understood
Best,
Matthew
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Re: [Numpy-discussion] Resolution of tickets.
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 password to use. I've now deleted > the charris208 account. Not for me, when logged on with my SVN username. I took Robert's email to mean we needed specific permission (over and above SVN write access) to resolve tickets - is that not the case? 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.php&p=sourceforge&CID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
[Numpy-discussion] Segfault on byteswap() on recarrays
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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[Numpy-discussion] Changing byte ordering with astype fails with 0d arrays
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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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=lnk&kid=120709&bid=263057&dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
[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, > 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 scipy.io matlab loading tests: http://projects.scipy.org/scipy/scipy/ticket/258 Here's the change I wasn't expecting, present with current SVN: a = arange(2) b = arange(1) c = array([a, b], dtype=object) c -> array([[0, 1], [0, 0]], dtype=object) On a previous version of numpy (1.02b.dev2975) I get the answer I was expecting: array([[0], [0 1]], dtype=object) 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=lnk&kid=120709&bid=263057&dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
[Numpy-discussion] Creating and reshaping fortran order arrays
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 data contains 4 integers, for a 2x2 array, stored in fortran order. For example, here is 0,1,2,3 as int32 str = '\x00\x00\x00\x00\x01\x00\x00\x00\x02\x00\x00\x00\x03\x00\x00\x00' What is the best way of me putting this into a 2x2 array object so that the array recognizes the data is in fortran order. Sort of: a = somefunction(str, shape=(2,2), dtype=int32, order='F') such that a.shape = (2,2) and a[1,0] == 1, rather than 2. Sorry if that's obvious, but I couldn't see it immediately Thanks a lot, 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=lnk&kid=120709&bid=263057&dat=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
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.php&p=sourceforge&CID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
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.php&p=sourceforge&CID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
[Numpy-discussion] ERROR: check_singleton
Hi, Just in case this was new information: == ERROR: check_singleton (numpy.lib.tests.test_getlimits.test_longdouble) -- Traceback (most recent call last): File "/usr/lib64/python2.4/site-packages/numpy/lib/tests/test_getlimits.py", line 33, in check_singleton ftype = finfo(longdouble) File "/usr/lib64/python2.4/site-packages/numpy/lib/getlimits.py", line 49, in __new__ obj = object.__new__(cls)._init(dtype) File "/usr/lib64/python2.4/site-packages/numpy/lib/getlimits.py", line 75, in _init 'numpy %s precision floating point number' % precname) File "/usr/lib64/python2.4/site-packages/numpy/lib/machar.py", line 210, in __init__ raise RuntimeError RuntimeError numpy 1.0b2.dev2927 FC4_64 on intel. 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.php&p=sourceforge&CID=DEVDEV ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] Time for beta1 of NumPy 1.0
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. 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=lnk&kid=120709&bid=263057&dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
