On Tue, Feb 18, 2014 at 11:27 AM, Sebastian Berg <sebast...@sipsolutions.net
> wrote:

> On Di, 2014-02-18 at 09:05 -0700, Charles R Harris wrote:
> > Hi All,
> >
> >
> > There is an old ticket, #1499, that suggest adding a segment_axis
> > function.
> >
> > def segment_axis(a, length, overlap=0, axis=None, end='cut', endvalue=0):
> >     """Generate a new array that chops the given array along the given
> axis
> >     into overlapping frames.
> >
> >     Parameters
> >     ----------
> >     a : array-like
> >         The array to segment
> >     length : int
> >         The length of each frame
> >     overlap : int, optional
> >         The number of array elements by which the frames should overlap
> >     axis : int, optional
> >         The axis to operate on; if None, act on the flattened array
> >     end : {'cut', 'wrap', 'end'}, optional
> >         What to do with the last frame, if the array is not evenly
> >         divisible into pieces.
> >
> >             - 'cut'   Simply discard the extra values
> >             - 'wrap'  Copy values from the beginning of the array
> >             - 'pad'   Pad with a constant value
> >
> >     endvalue : object
> >         The value to use for end='pad'
> >
> >
> >     Examples
> >     --------
> >     >>> segment_axis(arange(10), 4, 2)
> >     array([[0, 1, 2, 3],
> >            [2, 3, 4, 5],
> >            [4, 5, 6, 7],
> >            [6, 7, 8, 9]])
> >
> >
> > Is there and interest in having this function available?
> >
>
> Just to note, there have been similar proposals with a rolling_window
> function. It could be made ND aware, too (though maybe this one is
> also).
>


For example:  https://github.com/numpy/numpy/pull/31

Warren



> >
> > Chuck
> >
> > _______________________________________________
> > NumPy-Discussion mailing list
> > NumPy-Discussion@scipy.org
> > http://mail.scipy.org/mailman/listinfo/numpy-discussion
>
>
> _______________________________________________
> NumPy-Discussion mailing list
> NumPy-Discussion@scipy.org
> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>
_______________________________________________
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion

Reply via email to