From: David H. <dav...@gm...> - 2006-08-09 14:35:50
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I started to do the same with array methods, but before I spend too much time on it, I'd like to be sure I'm doing the right thing. 1. In add_newdocs.py, add from numpy.core import ndarray 2. then add an entry for each method, eg add_docstring(ndarray.var, """a.var(axis=None, dtype=None) Return the variance, a measure of the spread of a distribution. The variance is the average of the squared deviations from the mean, i.e. var = mean((x - x.mean())**2). See also: std """) 3. in arraymethods.c, delete static char doc_var[] = ... remove doc_var in {"var", (PyCFunction)array_variance, METH_VARARGS|METH_KEYWORDS, doc_var}, David 2006/7/28, Sasha <nd...@ma...>: > > On 7/28/06, Stefan van der Walt <st...@su...> wrote: > > > Would anyone mind if the change was made? If not, where should they > > go? (numpy/add_newdocs.py or numpy/core/something) > > Another +1 for numpy/add_newdocs.py and a suggestion: check for > Py_OptimizeFlag > 1 in add_newdoc so that docstrings are not loaded if > python is invoked with -OO option. This will improve import numpy > time and reduce the memory footprint. I'll make the change if no one > objects. > > ------------------------------------------------------------------------- > 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 > Num...@li... > https://lists.sourceforge.net/lists/listinfo/numpy-discussion > |