Matt Feinstein wrote: > On Mon, 16 May 2005 11:07:06 -0600, Steven Bethard > <[EMAIL PROTECTED]> wrote: > > > >>I must be missing something, because the simplest possible thing seems >>to work for me: >> >>py> import numarray as na >>py> def plus1(arr): >>... return arr + 1 >>... >>py> def apply_func(arr, f): >>... return f(arr) >>... >>py> a = na.arange(20, shape=(4, 5)) >>py> a >>array([[ 0, 1, 2, 3, 4], >> [ 5, 6, 7, 8, 9], >> [10, 11, 12, 13, 14], >> [15, 16, 17, 18, 19]]) >>py> apply_func(a, plus1) >>array([[ 1, 2, 3, 4, 5], >> [ 6, 7, 8, 9, 10], >> [11, 12, 13, 14, 15], >> [16, 17, 18, 19, 20]]) >> >>Is this not what you wanted? > > > The problem is that I chose an example function that's too simple. > Non-trivial functions aren't so polymorphic, unfortunately.
Can you give an example of what you really want to do? Probably there are numarray functions that you can use. In general, you'll do better applying a sequence of numarray functions than operating element-wise on an array and converting it from a list back to an array... STeVe -- http://mail.python.org/mailman/listinfo/python-list
