someone else is searching the archive with this
question in the future.
BFG
On Feb 27, 2009, at 10:58 PM, Robert Kern wrote:
On Fri, Feb 27, 2009 at 19:06, Brian Gerke
bge...@slac.stanford.edu wrote:
On Feb 27, 2009, at 4:30 PM, Robert Kern wrote:
r[where(r.field1 == 1.)] make a copy
Hi-
I'm quite new to numpy and to python in general, so I apologize if I'm
missing something obvious, but I've come across some seemingly nasty
behavior when trying to assign values to the fields of an indexed
subarray of a numpy record array. Perhaps an example would explain
it best.
On Feb 27, 2009, at 4:30 PM, Robert Kern wrote:
r[where(r.field1 == 1.)] make a copy. There is no way for us to
construct a view onto the original memory for this circumstance given
numpy's memory model.
Many thanks for the quick reply. I assume that this is true only for
record arrays,
