On Sun, Jun 27, 2010 at 10:38 AM, Kurt Smith <[email protected]> wrote:
> On Sat, Jun 26, 2010 at 7:34 PM, Warren Weckesser > <[email protected]> wrote: > > Kurt Smith wrote: > >> I'd really like arr.copy(order='F') to work -- is it supposed to as > >> its docstring says, or is it supposed to raise a TypeError as it does > >> now? > >> > > > > It works for me if I don't use the keyword. That is, > > > > >>> b = a.copy('F') > > Great! At least the functionality is there. > > > > > But I get the same error if I use order='F', so there is a either a bug > > in the docstring or a bug in the code. > > I certainly hope it's a docstring bug and not otherwise. > > Any pointers on submitting documentation bugs? > > Kurt > Same as filing a code bug: file a ticket at projects.scipy.org/numpy, But the policy is to document desired behavior, not actual behavior (if the code isn't behaving as advertised but it should, obviously that's a code bug), so you can do one of two things: a) wait 'til someone replies here clarifying which it is, or b) file a ticket which describes the inconsistency and let the issue be worked out over there (preferred IMO 'cause it gets the ticket filed while the issue is fresh in your mind, and any discussion of what kind of bug it is gets recorded as part of the ticket history). Thanks for reporting/filing! DG > > > > > Warren > > > > > >> This is on numpy 1.4 > >> > >> > >>>>> import numpy as np > >>>>> a = np.arange(10).reshape(5,2) > >>>>> a > >>>>> > >> array([[0, 1], > >> [2, 3], > >> [4, 5], > >> [6, 7], > >> [8, 9]]) > >> > >>>>> print a.copy.__doc__ > >>>>> > >> a.copy(order='C') > >> > >> Return a copy of the array. > >> > >> Parameters > >> ---------- > >> order : {'C', 'F', 'A'}, optional > >> By default, the result is stored in C-contiguous (row-major) > order in > >> memory. If `order` is `F`, the result has 'Fortran' > (column-major) > >> order. If order is 'A' ('Any'), then the result has the same > order > >> as the input. > >> > >> Examples > >> -------- > >> >>> x = np.array([[1,2,3],[4,5,6]], order='F') > >> > >> >>> y = x.copy() > >> > >> >>> x.fill(0) > >> > >> >>> x > >> array([[0, 0, 0], > >> [0, 0, 0]]) > >> > >> >>> y > >> array([[1, 2, 3], > >> [4, 5, 6]]) > >> > >> >>> y.flags['C_CONTIGUOUS'] > >> True > >> > >>>>> a.copy(order='C') > >>>>> > >> Traceback (most recent call last): > >> File "<stdin>", line 1, in <module> > >> TypeError: copy() takes no keyword arguments > >> > >>>>> a.copy(order='F') > >>>>> > >> Traceback (most recent call last): > >> File "<stdin>", line 1, in <module> > >> TypeError: copy() takes no keyword arguments > >> > >> _______________________________________________ > >> NumPy-Discussion mailing list > >> [email protected] > >> http://mail.scipy.org/mailman/listinfo/numpy-discussion > >> > > > > _______________________________________________ > > NumPy-Discussion mailing list > > [email protected] > > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > -- Mathematician: noun, someone who disavows certainty when their uncertainty set is non-empty, even if that set has measure zero. Hope: noun, that delusive spirit which escaped Pandora's jar and, with her lies, prevents mankind from committing a general suicide. (As interpreted by Robert Graves)
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