diff options
Diffstat (limited to 'benchmarks/benchmarks/bench_lib.py')
-rw-r--r-- | benchmarks/benchmarks/bench_lib.py | 24 |
1 files changed, 24 insertions, 0 deletions
diff --git a/benchmarks/benchmarks/bench_lib.py b/benchmarks/benchmarks/bench_lib.py index c22ceaa5e..f7884cd6c 100644 --- a/benchmarks/benchmarks/bench_lib.py +++ b/benchmarks/benchmarks/bench_lib.py @@ -53,6 +53,7 @@ class Pad(Benchmark): def time_pad(self, shape, pad_width, mode): np.pad(self.array, pad_width, mode) + class Nan(Benchmark): """Benchmarks for nan functions""" @@ -113,3 +114,26 @@ class Nan(Benchmark): def time_nanpercentile(self, array_size, percent_nans): np.nanpercentile(self.arr, q=50) + + +class Unique(Benchmark): + """Benchmark for np.unique with np.nan values.""" + + param_names = ["array_size", "percent_nans"] + params = [ + # sizes of the 1D arrays + [200, int(2e5)], + # percent of np.nan in arrays + [0, 0.1, 2., 50., 90.], + ] + + def setup(self, array_size, percent_nans): + np.random.seed(123) + # produce a randomly shuffled array with the + # approximate desired percentage np.nan content + base_array = np.random.uniform(size=array_size) + base_array[base_array < percent_nans / 100.] = np.nan + self.arr = base_array + + def time_unique(self, array_size, percent_nans): + np.unique(self.arr) |