diff --git a/README.rst b/README.rst index 8051fa9b72..7fe7a831c7 100644 --- a/README.rst +++ b/README.rst @@ -31,42 +31,42 @@ Bottleneck comes with a benchmark suite:: >>> bn.bench() Bottleneck performance benchmark - Bottleneck 1.3.0.dev0; Numpy 1.12.1 + Bottleneck 1.3.0; Numpy 1.15.4 Speed is NumPy time divided by Bottleneck time NaN means approx one-fifth NaNs; float64 used no NaN no NaN NaN no NaN NaN (100,) (1000,1000)(1000,1000)(1000,1000)(1000,1000) axis=0 axis=0 axis=0 axis=1 axis=1 - nansum 67.3 0.3 0.7 2.5 2.4 - nanmean 194.8 1.9 2.1 3.4 3.1 - nanstd 241.5 1.6 2.1 2.7 2.6 - nanvar 229.7 1.7 2.1 2.7 2.5 - nanmin 34.1 0.7 1.1 0.8 2.6 - nanmax 45.6 0.7 2.7 1.0 3.7 - median 111.0 1.3 5.6 1.0 4.8 - nanmedian 108.8 5.9 6.7 5.6 6.7 - ss 16.3 1.1 1.2 1.6 1.6 - nanargmin 89.2 2.9 5.1 2.2 5.6 - nanargmax 107.4 3.0 5.4 2.2 5.8 - anynan 19.4 0.3 35.0 0.5 29.9 - allnan 39.9 146.6 128.3 115.8 75.6 - rankdata 55.0 2.6 2.3 2.9 2.8 - nanrankdata 59.8 2.8 2.2 3.2 2.5 - partition 4.4 1.2 1.6 1.0 1.4 - argpartition 3.5 1.1 1.4 1.1 1.6 - replace 17.7 1.4 1.4 1.3 1.4 - push 3440.0 7.8 9.5 20.0 15.5 - move_sum 4743.0 75.7 156.1 195.4 211.1 - move_mean 8760.9 116.2 167.4 252.1 258.8 - move_std 8979.9 96.1 196.3 144.0 256.3 - move_var 11216.8 127.3 243.9 225.9 321.4 - move_min 2245.3 20.6 36.7 23.2 42.1 - move_max 2223.7 20.5 37.2 24.1 42.4 - move_argmin 3664.0 48.2 73.3 40.2 83.9 - move_argmax 3916.9 42.0 75.4 41.5 81.2 - move_median 2023.3 166.8 173.7 153.8 154.3 - move_rank 1208.5 1.9 1.9 2.5 2.8 + nansum 74.3 1.7 2.0 2.3 2.4 + nanmean 223.8 2.3 2.4 3.3 2.9 + nanstd 295.4 2.0 2.2 2.6 2.6 + nanvar 273.5 1.9 2.1 2.6 2.5 + nanmin 55.7 0.7 2.1 1.0 3.3 + nanmax 49.7 0.7 1.9 0.8 2.6 + median 160.4 1.3 6.1 1.1 6.2 + nanmedian 164.5 7.5 8.6 7.4 8.6 + ss 29.7 1.1 1.1 1.6 1.6 + nanargmin 87.9 3.0 5.3 2.3 5.9 + nanargmax 94.1 3.2 5.4 2.3 5.9 + anynan 21.0 0.3 40.8 0.5 33.7 + allnan 37.5 142.9 121.3 114.5 97.4 + rankdata 68.3 2.4 2.4 2.8 2.8 + nanrankdata 70.6 2.6 2.5 3.1 3.0 + partition 4.0 1.2 1.6 1.0 1.4 + argpartition 3.6 1.1 1.4 1.1 1.6 + replace 14.1 1.6 1.6 1.6 1.6 + push 2947.5 8.4 9.2 20.6 15.7 + move_sum 4561.5 75.7 153.6 189.1 203.5 + move_mean 11003.3 116.2 184.7 224.1 245.9 + move_std 10748.8 95.7 196.4 135.0 249.4 + move_var 13999.7 126.6 240.1 198.8 316.4 + move_min 2259.7 20.1 38.6 25.0 43.8 + move_max 2189.3 20.4 38.9 25.2 43.9 + move_argmin 4389.4 41.7 76.3 42.0 85.1 + move_argmax 4464.5 42.5 76.0 42.4 83.6 + move_median 2969.5 163.4 155.6 154.2 155.0 + move_rank 1395.6 1.9 2.0 2.4 2.5 You can also run a detailed benchmark for a single function using, for example, the command:: @@ -129,4 +129,4 @@ After you have installed Bottleneck, run the suite of unit tests:: Ran 169 tests in 57.205s OK - + \ No newline at end of file diff --git a/doc/source/conf.py b/doc/source/conf.py index c8c5e28a7d..f90bdf687d 100644 --- a/doc/source/conf.py +++ b/doc/source/conf.py @@ -39,7 +39,7 @@ # General information about the project. project = u'Bottleneck' -copyright = u'2010-2017 Keith Goodman' +copyright = u'2010-2019 Keith Goodman' # Grab version from bottleneck/version.py ver_file = os.path.join('..', '..', 'bottleneck', 'version.py')