Tim Hochberg wrote:
George Sakkis wrote:
def index(a, value):
return N.where(a==value)[0][0]
Or
def index(a, value):
return argmax(a == value)
This works but seems clunky and less efficient than necessary. If there
isn't a better alternative, I would welcome a new index()
function/method in the next numpy release.
Without commenting on the desirability of this particular function,
people seem awfully eager to add functions and methods everywhere. These
aren't free you know. They cost in terms of maintenance and potential
bugs, and in terms of making the already large function set even harder
to wrap ones head around.
+1
There is already a need to thoughtfully weed out the existing namespace.
from X import * is deprecated by some.
Colin W.
That's partly an organizational problem but
partly an issue of sheer size, neither of which are helped by adding a
bunch more stuff.
Not every two-line Python function has to come pre-written
--Tim Peters
In the case of this particular function, what are the use cases? Are
they common (not just with you but with other numpy users)? Are the uses
speed critical? Is it a good building block for other numeric
functions? I'm skeptical of the above implementation as it doesn't fit
well with other similar numpy functions (argmin and argmax for example)
and I personally don't see much in the way of compelling uses for this,
but feel free to try to convince me otherwise.
-tim
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