On Sun, Feb 5, 2012 at 12:06 PM, <josef.p...@gmail.com> wrote: > > > On Sun, Feb 5, 2012 at 12:52 PM, Paolo <p.zaff...@yahoo.it> wrote: > >> How I can do this? >> >> > > I'm not sure without trying, numpy.loadtxt might be the easier choice > > matrix="".join((i.strip() for i in f.readlines())) > > I think strip() also removes newlines besides other whitespace > otherwise more explicitly > matrix="".join((i.strip(f.newlines) for i in f.readlines())) > > or open the file with mode 'rU' and strip('\n') > > Josef >
This code: matrix="".join(f.readlines()) matrix=np.fromstring(matrix, dtype=np.int16) matrix=matrix.reshape(siz[2],siz[1],siz[0]).T implies that the data in f is binary, because the 'sep' keyword is not used in the call to np.fromstring. If that is the case, you should not use f.readlines() to read the data. Instead, read it as a single string with f.read(). (Or perhaps read the file with a single call to np.fromfile()). Also be sure that the file was opened in binary mode (i.e. f = open(filename, 'rb')). Warren > > > >> >> >> >> Il 05/02/2012 18:47, josef.p...@gmail.com ha scritto: >> >> >> >> On Sun, Feb 5, 2012 at 12:39 PM, Paolo <p.zaff...@yahoo.it> wrote: >> >>> This is my code: >>> >>> matrix="".join(f.readlines()) >>> >> >> my guess would be, that you have to strip the line endings \n versus \r\n >> >> Josef >> >> >>> matrix=np.fromstring(matrix, dtype=np.int16) >>> matrix=matrix.reshape(siz[2],siz[1],siz[0]).T >>> >>> >>> >>> >>> Il 05/02/2012 17:21, Olivier Delalleau ha scritto: >>> >>> It means there is some of your code that is not entirely >>> platform-independent. It's not possible to tell you which part because you >>> didn't provide your code. The problem may not even be numpy-related. >>> So you should first look at the current shape of 'matrix', and what are >>> the values of a, b and c, then see where the discrepancy is, and work from >>> there. >>> >>> -=- Olivier >>> >>> Le 5 février 2012 11:16, Paolo Zaffino <p.zaff...@yahoo.it> a écrit : >>> >>>> Yes, I understand this but I don't know because on Linux and Mac it >>>> works well. >>>> If the matrix size is different it should be different indipendently >>>> from os type. >>>> Am I wrong? >>>> Thanks for your support! >>>> >>>> ------------------------------ >>>> * From: * Olivier Delalleau <sh...@keba.be>; >>>> * To: * Discussion of Numerical Python <numpy-discussion@scipy.org>; >>>> * Subject: * Re: [Numpy-discussion] "ValueError: total size of new >>>> array must be unchanged" only on Windows >>>> * Sent: * Sun, Feb 5, 2012 3:02:44 PM >>>> >>>> It should mean that matrix.size != a * b * c. >>>> >>>> -=- Olivier >>>> >>>> Le 5 février 2012 09:32, Paolo <p.zaff...@yahoo.it> a écrit : >>>> >>>>> Hello, >>>>> I wrote a function that works on a numpy matrix and it works fine on >>>>> Mac >>>>> OS and GNU/Linux (I didn't test it on python 3). >>>>> Now I have a problem with numpy: the same python file doesn't work on >>>>> Windows (Windows xp, python 2.7 and numpy 2.6.1). >>>>> I get this error: >>>>> >>>>> matrix=matrix.reshape(a, b, c) >>>>> ValueError: total size of new array must be unchanged >>>>> >>>>> Why? Do anyone have an idea about this? >>>>> Thank you very much. >>>>> _______________________________________________ >>>>> NumPy-Discussion mailing list >>>>> NumPy-Discussion@scipy.org >>>>> http://mail.scipy.org/mailman/listinfo/numpy-discussion >>>>> >>>> >>>> >>> >>> >>> _______________________________________________ >>> NumPy-Discussion mailing list >>> NumPy-Discussion@scipy.org >>> http://mail.scipy.org/mailman/listinfo/numpy-discussion >>> >>> >> >> >> _______________________________________________ >> NumPy-Discussion mailing >> listNumPy-Discussion@scipy.orghttp://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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