Re: [Numpy-discussion] unique1d and asarray
On Sun, Jan 4, 2009 at 15:44, Pierre GM pgmdevl...@gmail.com wrote: All, Currently, np.unique1d uses np.asarray to ensure the input is an array. The problem is that np.asarray transforms a MaskedArray into a regular ndarray, the missing information is lost and the result is not correct. If we used np.asanyarray instead, subclasses are recognized properly, the mask is recognized by argsort and the result correct. Is there a reason why we use np.asarray instead of np.asanyarray ? Probably not. -- Robert Kern I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth. -- Umberto Eco ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] unique1d and asarray
On Jan 4, 2009, at 4:47 PM, Robert Kern wrote: On Sun, Jan 4, 2009 at 15:44, Pierre GM pgmdevl...@gmail.com wrote: If we used np.asanyarray instead, subclasses are recognized properly, the mask is recognized by argsort and the result correct. Is there a reason why we use np.asarray instead of np.asanyarray ? Probably not. So there wouldn't be any objections to make the switch ? We can wait a couple of days if anybody has a pb with that... ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
[Numpy-discussion] cobyla, f2py
just try f2py according to http://www.scipy.org/F2PY_Windows. The following woks in dos cmd window. E:\Miser3p2F\opcntrl\python E:\python25\scripts\f2py.py -c --fcompiler=gnu95 --compiler=mingw32 -lmsvcr71 -m cobyla cobyla.pyf cobyla2.f trstlp.f But I directly run run_compile() of f2py2e with sys.argv=sys.argv+['-c','--fcompiler=gnu95','--compiler=mingw32', '-lmsvcr71','-m', 'cobyla','E:\\Miser3p2F\opcntrl\\cobyla.pyf','E:\\Miser3p2F\opcntrl\\cobyla2.f','E:\\Miser3p2F\opcntrl\\trstlp.f'] , it does not work. I have tried several simple examples, they all work. I do not know why. ghzhao from Curtin ___ 好玩贺卡等你发，邮箱贺卡全新上线！ http://card.mail.cn.yahoo.com/___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
[Numpy-discussion] Invitation to connect on LinkedIn
LinkedIn Discussion, I'd like to add you to my professional network on LinkedIn. - Yunfeng Learn more: https://www.linkedin.com/e/isd/443568042/FmoYJeHZ/ -- What is LinkedIn and why should you join? http://learn.linkedin.com/what-is-linkedin/ -- (c) 2008, LinkedIn Corporation ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
