On Sat, Mar 3, 2012 at 8:07 AM, Luis Pedro Coelho wrote:
> Hi,
>
> I sort of missed the big C++ discussion, but I'd like to give some examples of
> how writing code can become much simpler if you are based on C++. This is from
> my mahotas package, which has a thin C++ wrapper around numpy's C API
On Sat, Mar 3, 2012 at 12:50 PM, Olivier Delalleau wrote:
>
>> Would it be helpful if I went ahead and submitted a pull request with the
>> function in my original question called "isclose" (along with a complete
>> docstring and a few tests)?
>>
>> One note:
>> At the moment, it deliberately com
On Sat, Mar 3, 2012 at 4:46 PM, Mark Wiebe wrote:
> On Sat, Mar 3, 2012 at 12:30 PM, Travis Oliphant
>>
>> * the reduction operations need to default to "skipna" --- this is
>> the most common use case which has been re-inforced again to me today by a
>> new user to Python who is using ma
>
> Mind, Mark only had a few weeks to write code. I think the unfinished state
> is a direct function of that.
>
> I have heard from several users that they will *not use the missing data* in
> NumPy as currently implemented, and I can now see why.For better or for
> worse, my approach t
On Sat, Mar 3, 2012 at 1:30 PM, Travis Oliphant wrote:
> Hi all,
>
> I've been thinking a lot about the masked array implementation lately.
> I finally had the time to look hard at what has been done and now am of the
> opinion that I do not think that 1.7 can be released with the current state
>
On Sat, Mar 3, 2012 at 9:30 PM, Travis Oliphant wrote:
> Hi all,
>
> I've been thinking a lot about the masked array implementation lately.
> I finally had the time to look hard at what has been done and now am of the
> opinion that I do not think that 1.7 can be released with the current state
>
On Sat, Mar 3, 2012 at 12:30 PM, Travis Oliphant wrote:
>
>
> First of all, I want to be clear that I think there is much great work
> that has been done in the current missing data code. There are some nice
> features in the where clause of the ufunc and the machinery for the
> iterator that
Hi all,
I've been thinking a lot about the masked array implementation lately. I
finally had the time to look hard at what has been done and now am of the
opinion that I do not think that 1.7 can be released with the current state of
the masked array implementation *unless* it is clearly m
Le 3 mars 2012 13:07, Joe Kington a écrit :
>
>
> On Sat, Mar 3, 2012 at 9:26 AM, Robert Kern wrote:
>
>> On Sat, Mar 3, 2012 at 15:22, Benjamin Root wrote:
>> >
>> >
>> > On Saturday, March 3, 2012, Robert Kern wrote:
>> >> On Sat, Mar 3, 2012 at 14:31, Ralf Gommers <
>> ralf.gomm...@googlema
On Sat, Mar 3, 2012 at 9:26 AM, Robert Kern wrote:
> On Sat, Mar 3, 2012 at 15:22, Benjamin Root wrote:
> >
> >
> > On Saturday, March 3, 2012, Robert Kern wrote:
> >> On Sat, Mar 3, 2012 at 14:31, Ralf Gommers >
> >> wrote:
> >>>
> >>>
> >>> On Sat, Mar 3, 2012 at 3:05 PM, Robert Kern
> >>>
On Sat, Mar 3, 2012 at 10:06 AM, Olivier Delalleau wrote:
> Le 3 mars 2012 11:03, Robert Kern a écrit :
>
>> On Sat, Mar 3, 2012 at 15:51, Olivier Delalleau wrote:
>> > Le 3 mars 2012 10:27, Robert Kern a écrit :
>> >>
>> >> On Sat, Mar 3, 2012 at 14:34, Robert Kern
>> wrote:
>> >> > On Sat,
On Sat, Mar 3, 2012 at 16:06, Olivier Delalleau wrote:
> Le 3 mars 2012 11:03, Robert Kern a écrit :
>>
>> On Sat, Mar 3, 2012 at 15:51, Olivier Delalleau wrote:
>> > Le 3 mars 2012 10:27, Robert Kern a écrit :
>> >>
>> >> On Sat, Mar 3, 2012 at 14:34, Robert Kern
>> >> wrote:
>> >> > On Sat,
Hi,
I sort of missed the big C++ discussion, but I'd like to give some examples of
how writing code can become much simpler if you are based on C++. This is from
my mahotas package, which has a thin C++ wrapper around numpy's C API
https://github.com/luispedro/mahotas/blob/master/mahotas/_morph.c
Le 3 mars 2012 11:03, Robert Kern a écrit :
> On Sat, Mar 3, 2012 at 15:51, Olivier Delalleau wrote:
> > Le 3 mars 2012 10:27, Robert Kern a écrit :
> >>
> >> On Sat, Mar 3, 2012 at 14:34, Robert Kern
> wrote:
> >> > On Sat, Mar 3, 2012 at 14:31, Ralf Gommers <
> ralf.gomm...@googlemail.com>
>
On Sat, Mar 3, 2012 at 15:51, Olivier Delalleau wrote:
> Le 3 mars 2012 10:27, Robert Kern a écrit :
>>
>> On Sat, Mar 3, 2012 at 14:34, Robert Kern wrote:
>> > On Sat, Mar 3, 2012 at 14:31, Ralf Gommers
>> > wrote:
>>
>> >> Because this is also bad:
>> > np.
>> >> Display all 561 possibili
Le 3 mars 2012 10:27, Robert Kern a écrit :
> On Sat, Mar 3, 2012 at 14:34, Robert Kern wrote:
> > On Sat, Mar 3, 2012 at 14:31, Ralf Gommers
> wrote:
>
> >> Because this is also bad:
> > np.
> >> Display all 561 possibilities? (y or n)
> >
> > Not as bad as overloading np.allclose(x,y,retu
On Sat, Mar 3, 2012 at 14:34, Robert Kern wrote:
> On Sat, Mar 3, 2012 at 14:31, Ralf Gommers
> wrote:
>> Because this is also bad:
> np.
>> Display all 561 possibilities? (y or n)
>
> Not as bad as overloading np.allclose(x,y,return_array=True). Or
> deprecating np.allclose() in favor of n
On Sat, Mar 3, 2012 at 15:22, Benjamin Root wrote:
>
>
> On Saturday, March 3, 2012, Robert Kern wrote:
>> On Sat, Mar 3, 2012 at 14:31, Ralf Gommers
>> wrote:
>>>
>>>
>>> On Sat, Mar 3, 2012 at 3:05 PM, Robert Kern
>>> wrote:
On Sat, Mar 3, 2012 at 13:59, Ralf Gommers
wrote:
>>
On Saturday, March 3, 2012, Robert Kern wrote:
> On Sat, Mar 3, 2012 at 14:31, Ralf Gommers
wrote:
>>
>>
>> On Sat, Mar 3, 2012 at 3:05 PM, Robert Kern
wrote:
>>>
>>> On Sat, Mar 3, 2012 at 13:59, Ralf Gommers
>>> wrote:
>>> >
>>> >
>>> > On Thu, Mar 1, 2012 at 11:44 PM, Joe Kington
wrote:
>>>
On Sat, Mar 3, 2012 at 14:31, Ralf Gommers wrote:
>
>
> On Sat, Mar 3, 2012 at 3:05 PM, Robert Kern wrote:
>>
>> On Sat, Mar 3, 2012 at 13:59, Ralf Gommers
>> wrote:
>> >
>> >
>> > On Thu, Mar 1, 2012 at 11:44 PM, Joe Kington wrote:
>> >>
>> >> Is there a numpy function for testing floating poi
On Sat, Mar 3, 2012 at 3:05 PM, Robert Kern wrote:
> On Sat, Mar 3, 2012 at 13:59, Ralf Gommers
> wrote:
> >
> >
> > On Thu, Mar 1, 2012 at 11:44 PM, Joe Kington wrote:
> >>
> >> Is there a numpy function for testing floating point equality that
> returns
> >> a boolean array?
> >>
> >> I'm awa
On Sat, Mar 3, 2012 at 13:59, Ralf Gommers wrote:
>
>
> On Thu, Mar 1, 2012 at 11:44 PM, Joe Kington wrote:
>>
>> Is there a numpy function for testing floating point equality that returns
>> a boolean array?
>>
>> I'm aware of np.allclose, but I need a boolean array. Properly handling
>> NaN's
On Thu, Mar 1, 2012 at 11:44 PM, Joe Kington wrote:
> Is there a numpy function for testing floating point equality that returns
> a boolean array?
>
> I'm aware of np.allclose, but I need a boolean array. Properly handling
> NaN's and Inf's (as allclose does) would be a nice bonus.
>
> I wrote
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