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 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
sorted, I
On 28.11.2014 09:37, Robert Kern wrote:
On Fri, Nov 28, 2014 at 8:22 AM, Julian Taylor
jtaylor.deb...@googlemail.com 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
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
jtaylor.deb...@googlemail.com mailto:jtaylor.deb...@googlemail.com
wrote:
On 28.11.2014 04:15, Alexander
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
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very out of date.)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
On Fri, Nov 28, 2014 at 9:12 PM, Nick Eubank nickeub...@gmail.com 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very out of date.)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
On Fri, Nov 28, 2014 at 3:15 AM, Alexander Belopolsky ndar...@mac.com 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
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
On Sat, Nov 29, 2014 at 1:51 AM, Benjamin Root ben.r...@ou.edu 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
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
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
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 jaime.f...@gmail.com
wrote:
On Fri, Nov 28, 2014 at 5:15 PM, Nathaniel Smith n...@pobox.com wrote:
On Fri, Nov 28, 2014 at 3:15 AM,
13 matches
Mail list logo
