[Numpy-discussion] ANN: PyData/Sparse 0.17.0 released

Hello all, PyData/Sparse > 0.17.0 is now available on GitHub , pypi and conda-forge. PyData/Sparse provides sparse multi-dimensional arrays for t

[Numpy-discussion] Re: ENH: Uniform interface for accessing minimum or maximum value of a dtype

I’d advocate for something like a `DTypeInfo` object in the Array API itself, with `max_value` and `min_value` being members. Of course, one would have to imagine how this would work with complex-valued dtypes, but I’d like API that returns an object rather than a million different calls, simila

[Numpy-discussion] Re: welcome Raghuveer, Chris, Mateusz and Matt to the NumPy maintainers team

Welcome, Raghuveer, Chris, Mateusz and Matt! > Am 26.01.2024 um 21:04 schrieb Ralf Gommers : > > Hi all, > > We've got four new NumPy maintainers! Welcome to the team, and > congratulations to: > > - Raghuveer Devulapalli (https://github.com/r-devulap) > - Chris Sidebottom (https://github.com/

[Numpy-discussion] Re: removing NUMPY_EXPERIMENTAL_ARRAY_FUNCTION env var

+1 from my side as well.Von meinem iPhone gesendetAm 10.03.2023 um 19:10 schrieb Stephan Hoyer :+1 for removing this environment variable. It was never intended to stick around this long.On Fri, Mar 10, 2023 at 6:48 AM Ralf Gommers wrote:Hi all,In https://github.com/numpy/

[Numpy-discussion] Re: Invalid value encoutered : how to prevent numpy.where to do this?

Hi! You can use a context manager: with np.errstate(all=”ignore”): … Best regards, Hameer Abbasi Von meinem iPhone gesendet > Am 18.02.2023 um 16:00 schrieb David Pine : > > I agree. The problem can be avoided in a very inelegant way by turning > warnings off before calling where() and turnin