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?
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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