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 :

On 7/28/06, Stefan van der Walt 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.

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