On Sat, Mar 31, 2012 at 2:25 AM, Prashant Saxena animator...@yahoo.com wrote:
Hi,
I am sub-classing numpy.ndarry for vector array representation. The append
function is like this:
def append(self, other):
self = numpy.append(self, [other], axis=0)
Example:
vary =
On Sun, Apr 1, 2012 at 8:19 AM, Tom Aldcroft
aldcr...@head.cfa.harvard.edu wrote:
You might try something like below (untested code, just meant as
pointing in the right direction):
self.resize(len(self) + len(v1), refcheck=False)
self[len(self):] = v1
Setting refcheck=False is potentially
Hi,
I am sub-classing numpy.ndarry for vector array representation. The append
function is like this:
def append(self, other):
self = numpy.append(self, [other], axis=0)
Example:
vary = VectorArray([v1, v2])
#vary = numpy.append(vary, [v1], axis=0)
vary.append(v1)
The commented
It doesn't work because numpy.append(a, ...) doesn't modify the array a
in-place: it returns a copy.
Then in your append method, doing self = numpy.append(...) won't have any
effect: in Python such a syntax means the self local variable will now
point to the result of numpy.append, but it won't
