[Numpy-discussion] arr.copy(order='F') doesn't agree with docstring: what is intended behavior?

David Goldsmith d.l.goldsmith@gmail....
Sun Jun 27 13:03:55 CDT 2010


On Sun, Jun 27, 2010 at 10:38 AM, Kurt Smith <kwmsmith@gmail.com> wrote:

> On Sat, Jun 26, 2010 at 7:34 PM, Warren Weckesser
> <warren.weckesser@enthought.com> 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
> >> NumPy-Discussion@scipy.org
> >> http://mail.scipy.org/mailman/listinfo/numpy-discussion
> >>
> >
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> >
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-- 
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
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