Re: [Numpy-discussion] PR #7083: ENH: Added 'doane' and 'sqrt' estimators to np.histogram

Where can I find the output of the tests on GitHub? I seem to be having trouble locating them. -Joe Sent from my LG Optimus L70™ -- Original message--From: Jaime Fernández del RíoDate: Thu, Jan 21, 2016 02:17To: Discussion of Numerical Python;Subject:Re:

Re: [Numpy-discussion] Behavior of np.random.uniform

On Do, 2016-01-21 at 09:38 +, Robert Kern wrote: > On Tue, Jan 19, 2016 at 5:35 PM, Sebastian Berg < > sebast...@sipsolutions.net> wrote: > > > > On Di, 2016-01-19 at 16:28 +, G Young wrote: > > > In rand range, it raises an exception if low >= high. > > > > > > I should also add that

Re: [Numpy-discussion] Behavior of np.random.uniform

On Thu, Jan 21, 2016 at 7:06 AM, Jaime Fernández del Río < jaime.f...@gmail.com> wrote: > > There doesn't seem to be much of a consensus on the way to go, so leaving things as they are and have been seems the wisest choice for now, thanks for all the feedback. I will work with Greg on documenting

Re: [Numpy-discussion] Behavior of np.random.uniform

On Tue, Jan 19, 2016 at 5:35 PM, Sebastian Berg wrote: > > On Di, 2016-01-19 at 16:28 +, G Young wrote: > > In rand range, it raises an exception if low >= high. > > > > I should also add that AFAIK enforcing low >= high with floats is a > > lot trickier than it is

Re: [Numpy-discussion] Should I use pip install numpy in linux?

Hi all, Just as a heads up: Nathaniel and I wrote a draft PEP on binary linux wheels that is now being discussed on distutils-sig, so you can check that out and participate in the conversation if you're interested. - PEP on python.org: https://www.python.org/dev/peps/pep-0513/ - PEP on github

Re: [Numpy-discussion] PR #7083: ENH: Added 'doane' and 'sqrt' estimators to np.histogram

I fixed the issue by checking if x.size > 2 before the calculation. An error should never need to be raised at that point. The build passes now and the results appear to be correct. On Thu, Jan 21, 2016 at 2:17 AM, Jaime Fernández del Río wrote: > The tests are not passing,

Re: [Numpy-discussion] PR #7083: ENH: Added 'doane' and 'sqrt' estimators to np.histogram

Due to a mistake I made in my branch structure, I have replaced this PR with #7090: https://github.com/numpy/numpy/pull/7090. All of the changes and fixes so far are squashed into the new request. -Joe On Thu, Jan 21, 2016 at 1:51 AM, Joseph Fox-Rabinovitz wrote: >

Re: [Numpy-discussion] Set FutureWarnings to error in (dev) tests?

On Thu, Jan 21, 2016 at 4:05 PM, Sebastian Berg wrote: > Hi all, > > should we try to set FutureWarnings to errors in dev tests? I am > seriously annoyed by FutureWarnings getting lost all over for two > reasons. First, it is hard to impossible to find even our own

[Numpy-discussion] Set FutureWarnings to error in (dev) tests?

Hi all, should we try to set FutureWarnings to errors in dev tests? I am seriously annoyed by FutureWarnings getting lost all over for two reasons. First, it is hard to impossible to find even our own errors for our own FutureWarning changes. Secondly, we currently would not even see any

[Numpy-discussion] deprecating assignment to ndarray.data

So it turns out that ndarray.data supports assignment at the Python level, and what it does is just assign to the ->data field of the ndarray object: https://github.com/numpy/numpy/blob/master/numpy/core/src/multiarray/getset.c#L325 This kind of assignment been deprecated at the C level since

Re: [Numpy-discussion] Set FutureWarnings to error in (dev) tests?

Warnings filters can be given a regex matching the warning text, I think? On Jan 21, 2016 5:00 PM, "Sebastian Berg" wrote: > On Do, 2016-01-21 at 16:51 -0800, Nathaniel Smith wrote: > > On Thu, Jan 21, 2016 at 4:44 PM, Sebastian Berg > >

Re: [Numpy-discussion] Set FutureWarnings to error in (dev) tests?

On Do, 2016-01-21 at 16:15 -0800, Nathaniel Smith wrote: > On Thu, Jan 21, 2016 at 4:05 PM, Sebastian Berg > wrote: > > Hi all, > > > > should we try to set FutureWarnings to errors in dev tests? I am > > seriously annoyed by FutureWarnings getting lost all over for

Re: [Numpy-discussion] Set FutureWarnings to error in (dev) tests?

On Do, 2016-01-21 at 17:07 -0800, Nathaniel Smith wrote: > Warnings filters can be given a regex matching the warning text, I > think? Doesn't cut it, because you need to set the warning to "always", so then if you don't want to print it, you are stuck I wrote a context manager + func

Re: [Numpy-discussion] Set FutureWarnings to error in (dev) tests?

On Thu, Jan 21, 2016 at 4:44 PM, Sebastian Berg wrote: > On Do, 2016-01-21 at 16:15 -0800, Nathaniel Smith wrote: >> On Thu, Jan 21, 2016 at 4:05 PM, Sebastian Berg >> wrote: >> > Hi all, >> > >> > should we try to set FutureWarnings to

Re: [Numpy-discussion] Set FutureWarnings to error in (dev) tests?

On Do, 2016-01-21 at 16:51 -0800, Nathaniel Smith wrote: > On Thu, Jan 21, 2016 at 4:44 PM, Sebastian Berg > wrote: > > On Do, 2016-01-21 at 16:15 -0800, Nathaniel Smith wrote: > > > On Thu, Jan 21, 2016 at 4:05 PM, Sebastian Berg > > >

Re: [Numpy-discussion] deprecating assignment to ndarray.data

Does this apply in any way to the .data attribute in scipy.sparse matrices? I fiddle with that quite often! On Fri, Jan 22, 2016 at 11:21 AM, Nathaniel Smith wrote: > So it turns out that ndarray.data supports assignment at the Python > level, and what it does is just assign to

Re: [Numpy-discussion] deprecating assignment to ndarray.data

On Jan 21, 2016 6:17 PM, "Juan Nunez-Iglesias" wrote: > > Does this apply in any way to the .data attribute in scipy.sparse matrices? Nope! -n ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org

[Numpy-discussion] ANN: xarray (formerly xray) v0.7.0 released

I am pleased to announce version v0.7.0 of xarray, the project formerly known as xray. xarray is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures. These

Re: [Numpy-discussion] deprecating assignment to ndarray.data

On 1/21/2016 8:32 PM, Nathaniel Smith wrote: > Does this apply in any way to the .data attribute in scipy.sparse matrices? Nope! -n How about the .data attribute of masked arrays? I'm guessing there may be a decent amount of code that uses array.data to try to duck-type ndarrays and