On 19/11/06, Filip Wasilewski <[EMAIL PROTECTED]> wrote: > On 11/19/06, A. M. Archibald <[EMAIL PROTECTED]> wrote: > > Hi, > > > > I have a function that would like to be able to take an array, look at > > its 'strides' and 'shape' tuples, and fabricate another array that is > > similar to the first but has the adjusted values. > > > > For a simple example: > > > > def fiddle(a): > > strides = list(a.strides) > > strides[0]*=2 > > shape = list(a.shape) > > shape[0]//=2 > > return N.ndarray.__new__(N.ndarray, strides=strides, shape=shape, > > buffer=a, dtype=a.dtype) > > Is there anything wrong in using slicing for that? > > >>> m=numpy.matrix([[2,3,4], [3,2,1]]) > >>> m.shape, m.strides > ((2, 3), (12, 4)) > >>> n = m[::2,:] > >>> n.shape, n.strides > ((1, 3), (24, 4))
Well, no, of course not to implement "fiddle". But the application I have in mind I don't think can be done with slicing... A. M. Archibald _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
