I suspect I am trying to do something similar... I would like to create a
mask where I have data. In essence, I need to return True where x,y is equal
to lon,lat
I suppose a setmember solution may somehow be more elegant, but this is what
I've worked up for now... suggestions?
def
On Thu, Apr 23, 2009 at 1:24 AM, Gökhan SEVER gokhanse...@gmail.com wrote:
Ahaa,,
Thanks Gaël. That method is more elegance than the previous inputs, and the
simplest of all.
Although one line of import this says:
There should be one-- and preferably only one --obvious way to do it.
I
josef.pktd at gmail.com writes:
setmember1d is very fast compared to the other solutions for large b.
However, setmember1d requires that both arrays only have unique elements.
So it doesn't work if, for example, your first array is a data vector
with member ship in different groups
Hello,
Could you please give me some hints about how to mask an array using another
arrays like in the following example.
In [14]: a = arange(5)
In [15]: a
Out[15]: array([0, 1, 2, 3, 4])
and my secondary array is b
In [16]: b = array([2,3])
What I want to do is to mask a with b values and
On Apr 22, 2009, at 5:21 PM, Gökhan SEVER wrote:
Hello,
Could you please give me some hints about how to mask an array using
another arrays like in the following example.
What about that ?
numpy.logical_or.reduce([a==i for i in b])
___
Yes Pierre,
I like this one line of elegances in Python a lot. I was thinking that the
answer lies in somewhere in masked array operations, but I proved wrong.
Thanks for your input on this small riddle.
Here is another way of doing that. (That's what I thought of initially and
what Matthias
On Wed, Apr 22, 2009 at 8:18 PM, Gökhan SEVER gokhanse...@gmail.com wrote:
Yes Pierre,
I like this one line of elegances in Python a lot. I was thinking that the
answer lies in somewhere in masked array operations, but I proved wrong.
Thanks for your input on this small riddle.
Here is
On Apr 22, 2009, at 9:03 PM, josef.p...@gmail.com wrote:
I prefer broad casting to list comprehension in numpy:
Pretty neat! I still dont have the broadcasting reflex. Now, any idea
which one is more efficient in terms of speed? in terms of temporaries?
On Wed, Apr 22, 2009 at 10:45 PM, Pierre GM pgmdevl...@gmail.com wrote:
On Apr 22, 2009, at 9:03 PM, josef.p...@gmail.com wrote:
I prefer broad casting to list comprehension in numpy:
Pretty neat! I still dont have the broadcasting reflex. Now, any idea
which one is more efficient in terms
On Wed, Apr 22, 2009 at 04:21:05PM -0500, Gökhan SEVER wrote:
Could you please give me some hints about how to mask an array using
another arrays like in the following example.
In [14]: a = arange(5)
In [15]: a
Out[15]: array([0, 1, 2, 3, 4])
and my secondary array is b
Ahaa,,
Thanks Gaël. That method is more elegance than the previous inputs, and the
simplest of all.
Although one line of import this says:
There should be one-- and preferably only one --obvious way to do it.
I always find many different ways of implementing ideas in Python world.
Gökhan
On
11 matches
Mail list logo
