On Sun, Jun 27, 2010 at 1:03 PM, David Goldsmith
<[email protected]> wrote:
> 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!
I misspoke (mistyped...). So long as it has the 'F' behavior I'm
happy, and I'll gladly file a bug report & patch to get the code to
match the docs, assuming that's the intended behavior.
Who do I contact about getting a trac account?
Thanks,
Kurt
>
> 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
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