Hi,
While documenting find_common_type I found two problems. As I understand it,
"common type" is a type to which all input types can be cast without loss of
precision.
1. using any array types always returns "dtype('object')":
>>> np.find_common_type([np.ndarray], [])
dtype('object')
>>> np.find
Right now the logics to detect package name in nosetester is fairly
simple, and fails for non-standard instal path.
I have opened up a ticket for that, with a fix:
http://projects.scipy.org/numpy/ticket/1168
Gaël
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On Sat, Jul 11, 2009 at 11:00 AM, Citi, Luca wrote:
> I have submitted Ticket #1167 with a patch
> to speed up diag and eye.
> On average the code is 3 times faster (but
> up to 9!).
Wow! That's great.
With your speed ups it won't be long before I use np.diag(np.eye(10))
instead of np.ones(10) ;
I have submitted Ticket #1167 with a patch
to speed up diag and eye.
On average the code is 3 times faster (but
up to 9!).
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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
On Sat, Jul 11, 2009 at 2:32 AM, Jarrod Millman wrote:
> The early registration deadline for SciPy 2009 has been extended
> for one week to July 17, 2009. Please register (
> http://conference.scipy.org/to_register )
> by this date to take advantage of the reduced early registration rate.
Why i
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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