diff options
Diffstat (limited to 'benchmarks/benchmarks/bench_lib.py')
| -rw-r--r-- | benchmarks/benchmarks/bench_lib.py | 21 |
1 files changed, 18 insertions, 3 deletions
diff --git a/benchmarks/benchmarks/bench_lib.py b/benchmarks/benchmarks/bench_lib.py index b64f8ab17..f792116a6 100644 --- a/benchmarks/benchmarks/bench_lib.py +++ b/benchmarks/benchmarks/bench_lib.py @@ -132,11 +132,26 @@ class Unique(Benchmark): # 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 + n_nan = int(percent_nans * array_size) + nan_indices = np.random.choice(np.arange(array_size), size=n_nan) + base_array[nan_indices] = np.nan self.arr = base_array - def time_unique(self, array_size, percent_nans): - np.unique(self.arr) + def time_unique_values(self, array_size, percent_nans): + np.unique(self.arr, return_index=False, + return_inverse=False, return_counts=False) + + def time_unique_counts(self, array_size, percent_nans): + np.unique(self.arr, return_index=False, + return_inverse=False, return_counts=True) + + def time_unique_inverse(self, array_size, percent_nans): + np.unique(self.arr, return_index=False, + return_inverse=True, return_counts=False) + + def time_unique_all(self, array_size, percent_nans): + np.unique(self.arr, return_index=True, + return_inverse=True, return_counts=True) class Isin(Benchmark): |