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ml31415/numpy-groupies
cumsum broken with NaNs

import numpy_groupies as npg from numpy import array, nan a = array([[5.0, 6.0, 7.0, 8.0, 9.0], [0.0, 0.0, 0.0, nan, 0.0]]) #mask = np.isnan(a) #a[mask] = 0 result = npg.aggregate_numpy.aggregate( ...
  • dcherian
  • Opened 
    on Jul 27, 2024
  • #91

ml31415/numpy-groupies
Exploring GPU acceleration using CuPy for enhanced performance

Thank you for your excellent work. I am considering whether it would be feasible to further accelerate the process using a GPU (such as CuPy). As mentioned in #63 , using CuPy should speed up some operators, ...
question
  • zjzjwang
  • 2
  • Opened 
    on Apr 17, 2024
  • #85

ml31415/numpy-groupies
Any recommended way to broadcast result back to the shape of "a"?

Hello - suppose I d like to broadcast the result back such that it has the same shape as the original array a with each value replaced by its aggregate result (which will therefore appear multiple times ...
question
  • ancri
  • 3
  • Opened 
    on Nov 21, 2023
  • #84

ml31415/numpy-groupies
Different package file names

For some weird reason, we now get our distribution files built once with a hyphen and once with an underscore. - numpy-groupies-0.10.1.tar.gz - numpy_groupies-0.10.1-py3-none-any.whl Any good ideas ...
  • ml31415
  • Opened 
    on Sep 22, 2023
  • #82

ml31415/numpy-groupies
nancumsum result for numba and numpy does not match

import numpy as np import numpy_groupies as npg s = npg.aggregate_numpy.aggregate( [0, 0, 0, 1, 1, 0, 0], [2, 2, np.nan, 2, 2, 2, 2], func= nancumsum ) ss = npg.aggregate_numba.aggregate( [0, ...
bug
  • Illviljan
  • 1
  • Opened 
    on Jul 8, 2023
  • #79

ml31415/numpy-groupies
CI conda build fails

Package six conflicts for: conda==23.1.0 - conda-package-handling[version= =1.3.0 ] - six[version= =1.5.2 ] conda-content-trust - cryptography - six[version= =1.4.1 ] six pyopenssl - ...
  • ml31415
  • 1
  • Opened 
    on Mar 19, 2023
  • #75

ml31415/numpy-groupies
only 1d indexing currentlysupported with axis arg

Unable to run the example Use the axis arg in order to do a sum-aggregation on three rows simultaneously in README.md import numpy as np import numpy_groupies as npg a = np.array([[99, 2, 11, 14, 20], ...
bug
  • joshua-gould
  • Opened 
    on Jan 13, 2023
  • #74

ml31415/numpy-groupies
rerun benchmarks with numpy 1.25

numpy HEAD has a major speedup to ufunc.at. We should update benchmarks when it s released. And recommend it in the release notes.
  • dcherian
  • 4
  • Opened 
    on Jan 12, 2023
  • #73

ml31415/numpy-groupies
Repo name change?

Hi all, So I was just in a presentation about this package, and while it sounds really interesting, I was surprised by the name choice. Groupies is a commonly-understood slang term in English which has ...
  • cmdupuis3
  • 2
  • Opened 
    on Nov 28, 2022
  • #70

ml31415/numpy-groupies
AggregateGeneric fails with np.median

import numpy as np import numpy_groupies as npg idx = np.arange(100).repeat(100) d = np.random.random(10000) npg.aggregate(idx, d, np.median) And we get: TypingError: Failed in nopython mode pipeline ...
bug
  • ml31415
  • Opened 
    on Nov 28, 2022
  • #69
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