If we don't have an operation for this in numpy's setops module, it
probably should be added.
Ben Root
On Nov 28, 2014 10:21 PM, "Jaime Fernández del Río"
wrote:
> On Fri, Nov 28, 2014 at 5:15 PM, Nathaniel Smith wrote:
>
>> On Fri, Nov 28, 2014 at 3:15 AM, Alexander Belopolsky
>> wrote:
>> >
Ah, I didn't notice the coercion before. Dynnd has been an interesting
project for a couple years now, and it is in the right position of being
able to develop and experiment with new concepts. I hope they can work out
the NA/NaN/mask semantics in a way that is intuitive and can coexist. That
was t
On Fri, Nov 28, 2014 at 5:15 PM, Nathaniel Smith wrote:
> On Fri, Nov 28, 2014 at 3:15 AM, Alexander Belopolsky
> wrote:
> > I probably miss something very basic, but how given two arrays a and b,
> can
> > I find positions in a where elements of b are located? If a were
> sorted, I
> > could u
Thanks Nathaniel and Ben.
Nathaniel, I completely understand! Believe me, I appreciate all you folks
do already, and am hoping to some day improve my skills enough to
contribute myself.
Ben: they only handle it for Floats. If you introduce an NA to an int64
series, it just coerces the type into F
On Sat, Nov 29, 2014 at 1:51 AM, Benjamin Root wrote:
> That being said, doesn't Pandas support something like what you are asking
> for? While Pandas would like to push the NA support down into the NumPy
> level for seamless interaction with other SciPy libraries, it does a very
> decent job with
That being said, doesn't Pandas support something like what you are asking
for? While Pandas would like to push the NA support down into the NumPy
level for seamless interaction with other SciPy libraries, it does a very
decent job with NA on its own, and depending on the sort of code you need
to w
On Fri, Nov 28, 2014 at 3:15 AM, Alexander Belopolsky wrote:
> I probably miss something very basic, but how given two arrays a and b, can
> I find positions in a where elements of b are located? If a were sorted, I
> could use searchsorted, but I don't want to get valid positions for elements
>
On Fri, Nov 28, 2014 at 9:12 PM, Nick Eubank wrote:
> Hello Numpy!
>
> Curious if there were any timelines for when NA / NaN support might arrive
> for Ints.
>
> (I'm sure this is asked and answered many times, but what I can find seems
> very out of date.)
>
> I'm strongly considering migrating f
Hello Numpy!
Curious if there were any timelines for when NA / NaN support might arrive
for Ints.
(I'm sure this is asked and answered many times, but what I can find seems
very out of date.)
I'm strongly considering migrating from R/Stata/Matlab to Pandas/Numpy, but
the inability to handle Na i
I am pleased to announce release 2014.4 of SfePy.
Description
---
SfePy (simple finite elements in Python) is a software for solving systems of
coupled partial differential equations by the finite element method or by the
isogeometric analysis (preliminary support). It is distributed unde
On Fri, Nov 28, 2014 at 8:40 AM, Julian Taylor <
jtaylor.deb...@googlemail.com> wrote:
> On 28.11.2014 09:37, Robert Kern wrote:
> > On Fri, Nov 28, 2014 at 8:22 AM, Julian Taylor
> > mailto:jtaylor.deb...@googlemail.com>>
> > wrote:
> >>
> >> On 28.11.2014 04:15, Alexander Belopolsky wrote:
> >>
On 28.11.2014 09:37, Robert Kern wrote:
> On Fri, Nov 28, 2014 at 8:22 AM, Julian Taylor
> mailto:jtaylor.deb...@googlemail.com>>
> wrote:
>>
>> On 28.11.2014 04:15, Alexander Belopolsky wrote:
>> > I probably miss something very basic, but how given two arrays a and b,
>> > can I find positions in
On Fri, Nov 28, 2014 at 8:22 AM, Julian Taylor <
jtaylor.deb...@googlemail.com> wrote:
>
> On 28.11.2014 04:15, Alexander Belopolsky wrote:
> > I probably miss something very basic, but how given two arrays a and b,
> > can I find positions in a where elements of b are located? If a were
> > sorte
On 28.11.2014 04:15, Alexander Belopolsky wrote:
> I probably miss something very basic, but how given two arrays a and b,
> can I find positions in a where elements of b are located? If a were
> sorted, I could use searchsorted, but I don't want to get valid
> positions for elements that are not
14 matches
Mail list logo
