2011/3/24 Dmitrey :
> Are there any plans for merging bottleneck into numpy?
No plans, but no particular opposition. bottleneck is a good place to
experiment with these optimizations. When they settle, it might be
worth folding them back in.
> Also, are those benchmarks valid for ordinary numpy
On Thu, Mar 24, 2011 at 6:19 AM, Ralf Gommers
<
ralf.gomm...@googlemail.com > wrote:
> 2011/3/24 Dmitrey < tm...@ukr.net >:
>> hi,
>> is there any way to get argmin and argmax of an array w/o nans?
>> Currently I have
> from numpy import
2011/3/24 Dmitrey <
tm...@ukr.net >:
> hi,
> is there any way to get argmin and argmax of an array w/o nans?
> Currently I have
from numpy import *
argmax([10,nan,100])
> 1
argmin([10,nan,100])
> 1
> But it's not the va
On Thu, Mar 24, 2011 at 6:19 AM, Ralf Gommers
wrote:
> 2011/3/24 Dmitrey :
>> hi,
>> is there any way to get argmin and argmax of an array w/o nans?
>> Currently I have
> from numpy import *
> argmax([10,nan,100])
>> 1
> argmin([10,nan,100])
>> 1
>> But it's not the values I would like
2011/3/24 Dmitrey :
> hi,
> is there any way to get argmin and argmax of an array w/o nans?
> Currently I have
from numpy import *
argmax([10,nan,100])
> 1
argmin([10,nan,100])
> 1
> But it's not the values I would like to get.
>
> The walkaround I use: get all indeces of nans, repla
hi,
is there any way to get argmin and argmax of an array w/o nans?
Currently I have
>>> from numpy import *
>>> argmax([10,nan,100])
1
>>> argmin([10,nan,100])
1
But it's not the values I would like to get.
The walkaround I use: get all indeces of nans, replace them by
On Sat, Jul 11, 2009 at 7:09 AM, Keith Goodman wrote:
> On Sat, Jul 11, 2009 at 3:20 AM, f0X_in_s0X wrote:
>>
>> Do argmin and argmax skip nan values? I cant find it anywhere in the numpy
>> documentation.
>>
>> In any case, if I want to find max and min values in an array that may
>> contain nan v
On Sat, Jul 11, 2009 at 3:20 AM, f0X_in_s0X wrote:
>
> Do argmin and argmax skip nan values? I cant find it anywhere in the numpy
> documentation.
>
> In any case, if I want to find max and min values in an array that may
> contain nan values also, what would the be the most efficient way to do
> t
Do argmin and argmax skip nan values? I cant find it anywhere in the numpy
documentation.
In any case, if I want to find max and min values in an array that may
contain nan values also, what would the be the most efficient way to do
that? Any pointers??
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