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How to use monotonic method in pytest-benchmark

Best Python code snippet using pytest-benchmark

test_monotonic.py

Source:test_monotonic.py

1import numpy as np2import pandas as pd3from pandas import Index, MultiIndex4def test_is_monotonic_increasing():5    i = MultiIndex.from_product([np.arange(10), np.arange(10)], names=["one", "two"])6    assert i.is_monotonic is True7    assert i._is_strictly_monotonic_increasing is True8    assert Index(i.values).is_monotonic is True9    assert i._is_strictly_monotonic_increasing is True10    i = MultiIndex.from_product(11        [np.arange(10, 0, -1), np.arange(10)], names=["one", "two"]12    )13    assert i.is_monotonic is False14    assert i._is_strictly_monotonic_increasing is False15    assert Index(i.values).is_monotonic is False16    assert Index(i.values)._is_strictly_monotonic_increasing is False17    i = MultiIndex.from_product(18        [np.arange(10), np.arange(10, 0, -1)], names=["one", "two"]19    )20    assert i.is_monotonic is False21    assert i._is_strictly_monotonic_increasing is False22    assert Index(i.values).is_monotonic is False23    assert Index(i.values)._is_strictly_monotonic_increasing is False24    i = MultiIndex.from_product([[1.0, np.nan, 2.0], ["a", "b", "c"]])25    assert i.is_monotonic is False26    assert i._is_strictly_monotonic_increasing is False27    assert Index(i.values).is_monotonic is False28    assert Index(i.values)._is_strictly_monotonic_increasing is False29    # string ordering30    i = MultiIndex(31        levels=[["foo", "bar", "baz", "qux"], ["one", "two", "three"]],32        codes=[[0, 0, 0, 1, 1, 2, 2, 3, 3, 3], [0, 1, 2, 0, 1, 1, 2, 0, 1, 2]],33        names=["first", "second"],34    )35    assert i.is_monotonic is False36    assert Index(i.values).is_monotonic is False37    assert i._is_strictly_monotonic_increasing is False38    assert Index(i.values)._is_strictly_monotonic_increasing is False39    i = MultiIndex(40        levels=[["bar", "baz", "foo", "qux"], ["mom", "next", "zenith"]],41        codes=[[0, 0, 0, 1, 1, 2, 2, 3, 3, 3], [0, 1, 2, 0, 1, 1, 2, 0, 1, 2]],42        names=["first", "second"],43    )44    assert i.is_monotonic is True45    assert Index(i.values).is_monotonic is True46    assert i._is_strictly_monotonic_increasing is True47    assert Index(i.values)._is_strictly_monotonic_increasing is True48    # mixed levels, hits the TypeError49    i = MultiIndex(50        levels=[51            [1, 2, 3, 4],52            [53                "gb00b03mlx29",54                "lu0197800237",55                "nl0000289783",56                "nl0000289965",57                "nl0000301109",58            ],59        ],60        codes=[[0, 1, 1, 2, 2, 2, 3], [4, 2, 0, 0, 1, 3, -1]],61        names=["household_id", "asset_id"],62    )63    assert i.is_monotonic is False64    assert i._is_strictly_monotonic_increasing is False65    # empty66    i = MultiIndex.from_arrays([[], []])67    assert i.is_monotonic is True68    assert Index(i.values).is_monotonic is True69    assert i._is_strictly_monotonic_increasing is True70    assert Index(i.values)._is_strictly_monotonic_increasing is True71def test_is_monotonic_decreasing():72    i = MultiIndex.from_product(73        [np.arange(9, -1, -1), np.arange(9, -1, -1)], names=["one", "two"]74    )75    assert i.is_monotonic_decreasing is True76    assert i._is_strictly_monotonic_decreasing is True77    assert Index(i.values).is_monotonic_decreasing is True78    assert i._is_strictly_monotonic_decreasing is True79    i = MultiIndex.from_product(80        [np.arange(10), np.arange(10, 0, -1)], names=["one", "two"]81    )82    assert i.is_monotonic_decreasing is False83    assert i._is_strictly_monotonic_decreasing is False84    assert Index(i.values).is_monotonic_decreasing is False85    assert Index(i.values)._is_strictly_monotonic_decreasing is False86    i = MultiIndex.from_product(87        [np.arange(10, 0, -1), np.arange(10)], names=["one", "two"]88    )89    assert i.is_monotonic_decreasing is False90    assert i._is_strictly_monotonic_decreasing is False91    assert Index(i.values).is_monotonic_decreasing is False92    assert Index(i.values)._is_strictly_monotonic_decreasing is False93    i = MultiIndex.from_product([[2.0, np.nan, 1.0], ["c", "b", "a"]])94    assert i.is_monotonic_decreasing is False95    assert i._is_strictly_monotonic_decreasing is False96    assert Index(i.values).is_monotonic_decreasing is False97    assert Index(i.values)._is_strictly_monotonic_decreasing is False98    # string ordering99    i = MultiIndex(100        levels=[["qux", "foo", "baz", "bar"], ["three", "two", "one"]],101        codes=[[0, 0, 0, 1, 1, 2, 2, 3, 3, 3], [0, 1, 2, 0, 1, 1, 2, 0, 1, 2]],102        names=["first", "second"],103    )104    assert i.is_monotonic_decreasing is False105    assert Index(i.values).is_monotonic_decreasing is False106    assert i._is_strictly_monotonic_decreasing is False107    assert Index(i.values)._is_strictly_monotonic_decreasing is False108    i = MultiIndex(109        levels=[["qux", "foo", "baz", "bar"], ["zenith", "next", "mom"]],110        codes=[[0, 0, 0, 1, 1, 2, 2, 3, 3, 3], [0, 1, 2, 0, 1, 1, 2, 0, 1, 2]],111        names=["first", "second"],112    )113    assert i.is_monotonic_decreasing is True114    assert Index(i.values).is_monotonic_decreasing is True115    assert i._is_strictly_monotonic_decreasing is True116    assert Index(i.values)._is_strictly_monotonic_decreasing is True117    # mixed levels, hits the TypeError118    i = MultiIndex(119        levels=[120            [4, 3, 2, 1],121            [122                "nl0000301109",123                "nl0000289965",124                "nl0000289783",125                "lu0197800237",126                "gb00b03mlx29",127            ],128        ],129        codes=[[0, 1, 1, 2, 2, 2, 3], [4, 2, 0, 0, 1, 3, -1]],130        names=["household_id", "asset_id"],131    )132    assert i.is_monotonic_decreasing is False133    assert i._is_strictly_monotonic_decreasing is False134    # empty135    i = MultiIndex.from_arrays([[], []])136    assert i.is_monotonic_decreasing is True137    assert Index(i.values).is_monotonic_decreasing is True138    assert i._is_strictly_monotonic_decreasing is True139    assert Index(i.values)._is_strictly_monotonic_decreasing is True140def test_is_strictly_monotonic_increasing():141    idx = pd.MultiIndex(142        levels=[["bar", "baz"], ["mom", "next"]], codes=[[0, 0, 1, 1], [0, 0, 0, 1]]143    )144    assert idx.is_monotonic_increasing is True145    assert idx._is_strictly_monotonic_increasing is False146def test_is_strictly_monotonic_decreasing():147    idx = pd.MultiIndex(148        levels=[["baz", "bar"], ["next", "mom"]], codes=[[0, 0, 1, 1], [0, 0, 0, 1]]149    )150    assert idx.is_monotonic_decreasing is True...

test_indexing_engines.py

Source:test_indexing_engines.py

1import numpy as np2from pandas._libs import algos as libalgos, index as libindex3import pandas.util.testing as tm4class TestNumericEngine:5    def test_is_monotonic(self, numeric_indexing_engine_type_and_dtype):6        engine_type, dtype = numeric_indexing_engine_type_and_dtype7        num = 10008        arr = np.array([1] * num + [2] * num + [3] * num, dtype=dtype)9        # monotonic increasing10        engine = engine_type(lambda: arr, len(arr))11        assert engine.is_monotonic_increasing is True12        assert engine.is_monotonic_decreasing is False13        # monotonic decreasing14        engine = engine_type(lambda: arr[::-1], len(arr))15        assert engine.is_monotonic_increasing is False16        assert engine.is_monotonic_decreasing is True17        # neither monotonic increasing or decreasing18        arr = np.array([1] * num + [2] * num + [1] * num, dtype=dtype)19        engine = engine_type(lambda: arr[::-1], len(arr))20        assert engine.is_monotonic_increasing is False21        assert engine.is_monotonic_decreasing is False22    def test_is_unique(self, numeric_indexing_engine_type_and_dtype):23        engine_type, dtype = numeric_indexing_engine_type_and_dtype24        # unique25        arr = np.array([1, 3, 2], dtype=dtype)26        engine = engine_type(lambda: arr, len(arr))27        assert engine.is_unique is True28        # not unique29        arr = np.array([1, 2, 1], dtype=dtype)30        engine = engine_type(lambda: arr, len(arr))31        assert engine.is_unique is False32    def test_get_loc(self, numeric_indexing_engine_type_and_dtype):33        engine_type, dtype = numeric_indexing_engine_type_and_dtype34        # unique35        arr = np.array([1, 2, 3], dtype=dtype)36        engine = engine_type(lambda: arr, len(arr))37        assert engine.get_loc(2) == 138        # monotonic39        num = 100040        arr = np.array([1] * num + [2] * num + [3] * num, dtype=dtype)41        engine = engine_type(lambda: arr, len(arr))42        assert engine.get_loc(2) == slice(1000, 2000)43        # not monotonic44        arr = np.array([1, 2, 3] * num, dtype=dtype)45        engine = engine_type(lambda: arr, len(arr))46        expected = np.array([False, True, False] * num, dtype=bool)47        result = engine.get_loc(2)48        assert (result == expected).all()49    def test_get_backfill_indexer(self, numeric_indexing_engine_type_and_dtype):50        engine_type, dtype = numeric_indexing_engine_type_and_dtype51        arr = np.array([1, 5, 10], dtype=dtype)52        engine = engine_type(lambda: arr, len(arr))53        new = np.arange(12, dtype=dtype)54        result = engine.get_backfill_indexer(new)55        expected = libalgos.backfill(arr, new)56        tm.assert_numpy_array_equal(result, expected)57    def test_get_pad_indexer(self, numeric_indexing_engine_type_and_dtype):58        engine_type, dtype = numeric_indexing_engine_type_and_dtype59        arr = np.array([1, 5, 10], dtype=dtype)60        engine = engine_type(lambda: arr, len(arr))61        new = np.arange(12, dtype=dtype)62        result = engine.get_pad_indexer(new)63        expected = libalgos.pad(arr, new)64        tm.assert_numpy_array_equal(result, expected)65class TestObjectEngine:66    engine_type = libindex.ObjectEngine67    dtype = np.object_68    values = list("abc")69    def test_is_monotonic(self):70        num = 100071        arr = np.array(["a"] * num + ["a"] * num + ["c"] * num, dtype=self.dtype)72        # monotonic increasing73        engine = self.engine_type(lambda: arr, len(arr))74        assert engine.is_monotonic_increasing is True75        assert engine.is_monotonic_decreasing is False76        # monotonic decreasing77        engine = self.engine_type(lambda: arr[::-1], len(arr))78        assert engine.is_monotonic_increasing is False79        assert engine.is_monotonic_decreasing is True80        # neither monotonic increasing or decreasing81        arr = np.array(["a"] * num + ["b"] * num + ["a"] * num, dtype=self.dtype)82        engine = self.engine_type(lambda: arr[::-1], len(arr))83        assert engine.is_monotonic_increasing is False...

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