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 <[EMAIL PROTECTED]>:
On 7/28/06, Stefan van der Walt <[EMAIL PROTECTED]> 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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