On Thu, Sep 9, 2010 at 05:05, Chris Ball wrote:
> Robert Kern gmail.com> writes:
>>
>> On Wed, Sep 8, 2010 at 14:42, Chris Ball gmail.com> wrote:
>> > Robert Kern gmail.com> writes:
>> >
> ...
>> a = numpy.array([1,2,3,4,5])
>> a.clip(2,None)
>> > array([2, 2, 2, 2, 2], dtype=object)
Robert Kern gmail.com> writes:
>
> On Wed, Sep 8, 2010 at 14:42, Chris Ball gmail.com> wrote:
> > Robert Kern gmail.com> writes:
> >
...
> a = numpy.array([1,2,3,4,5])
> a.clip(2,None)
> > array([2, 2, 2, 2, 2], dtype=object)
> >
> > I'm not sure why the returned array has a dtype of
On Wed, Sep 8, 2010 at 14:42, Chris Ball wrote:
> Robert Kern gmail.com> writes:
>
>>
>> On Tue, Sep 7, 2010 at 15:12, Friedrich Romstedt
>> gmail.com> wrote:
>> > Ah, no need to answer, I do this myself:
>> >
>> > Friedrich, would you please use numpy.inf and -numpy.inf.
>>
>> But if you have a
Robert Kern gmail.com> writes:
>
> On Tue, Sep 7, 2010 at 15:12, Friedrich Romstedt
> gmail.com> wrote:
> > Ah, no need to answer, I do this myself:
> >
> > Friedrich, would you please use numpy.inf and -numpy.inf.
>
> But if you have an integer array, you will run into the same problem.
> The
On Tue, Sep 7, 2010 at 15:12, Friedrich Romstedt
wrote:
> Ah, no need to answer, I do this myself:
>
> Friedrich, would you please use numpy.inf and -numpy.inf.
But if you have an integer array, you will run into the same problem.
The result will be upcast to float. I think we would accept a patc
Ah, no need to answer, I do this myself:
Friedrich, would you please use numpy.inf and -numpy.inf.
Thanks, and sorry for the noise,
Friedrich
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I just came across a problem with the intention to specify unset
boundaries given to numpy.clip() or array.clip():
a.clip(1e-10, None)
a.clip(None, -1e-10)
When doing this, the returned array is dtype=numpy.object, seemingly
None gets converted to a numpy.asarray(None, dtype=numpy.object), and
th
