import numpy as np
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import pytest
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from pandas import (
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Index,
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MultiIndex,
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)
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def test_is_monotonic_increasing_lexsorted(lexsorted_two_level_string_multiindex):
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# string ordering
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mi = lexsorted_two_level_string_multiindex
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assert mi.is_monotonic_increasing is False
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assert Index(mi.values).is_monotonic_increasing is False
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assert mi._is_strictly_monotonic_increasing is False
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assert Index(mi.values)._is_strictly_monotonic_increasing is False
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def test_is_monotonic_increasing():
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i = MultiIndex.from_product([np.arange(10), np.arange(10)], names=["one", "two"])
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assert i.is_monotonic_increasing is True
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assert i._is_strictly_monotonic_increasing is True
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assert Index(i.values).is_monotonic_increasing is True
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assert i._is_strictly_monotonic_increasing is True
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i = MultiIndex.from_product(
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[np.arange(10, 0, -1), np.arange(10)], names=["one", "two"]
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)
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assert i.is_monotonic_increasing is False
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assert i._is_strictly_monotonic_increasing is False
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assert Index(i.values).is_monotonic_increasing is False
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assert Index(i.values)._is_strictly_monotonic_increasing is False
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i = MultiIndex.from_product(
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[np.arange(10), np.arange(10, 0, -1)], names=["one", "two"]
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)
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assert i.is_monotonic_increasing is False
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assert i._is_strictly_monotonic_increasing is False
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assert Index(i.values).is_monotonic_increasing is False
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assert Index(i.values)._is_strictly_monotonic_increasing is False
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i = MultiIndex.from_product([[1.0, np.nan, 2.0], ["a", "b", "c"]])
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assert i.is_monotonic_increasing is False
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assert i._is_strictly_monotonic_increasing is False
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assert Index(i.values).is_monotonic_increasing is False
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assert Index(i.values)._is_strictly_monotonic_increasing is False
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i = MultiIndex(
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levels=[["bar", "baz", "foo", "qux"], ["mom", "next", "zenith"]],
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codes=[[0, 0, 0, 1, 1, 2, 2, 3, 3, 3], [0, 1, 2, 0, 1, 1, 2, 0, 1, 2]],
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names=["first", "second"],
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)
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assert i.is_monotonic_increasing is True
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assert Index(i.values).is_monotonic_increasing is True
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assert i._is_strictly_monotonic_increasing is True
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assert Index(i.values)._is_strictly_monotonic_increasing is True
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# mixed levels, hits the TypeError
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i = MultiIndex(
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levels=[
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[1, 2, 3, 4],
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[
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"gb00b03mlx29",
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"lu0197800237",
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"nl0000289783",
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"nl0000289965",
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"nl0000301109",
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],
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],
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codes=[[0, 1, 1, 2, 2, 2, 3], [4, 2, 0, 0, 1, 3, -1]],
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names=["household_id", "asset_id"],
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)
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assert i.is_monotonic_increasing is False
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assert i._is_strictly_monotonic_increasing is False
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# empty
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i = MultiIndex.from_arrays([[], []])
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assert i.is_monotonic_increasing is True
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assert Index(i.values).is_monotonic_increasing is True
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assert i._is_strictly_monotonic_increasing is True
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assert Index(i.values)._is_strictly_monotonic_increasing is True
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def test_is_monotonic_decreasing():
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i = MultiIndex.from_product(
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[np.arange(9, -1, -1), np.arange(9, -1, -1)], names=["one", "two"]
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)
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assert i.is_monotonic_decreasing is True
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assert i._is_strictly_monotonic_decreasing is True
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assert Index(i.values).is_monotonic_decreasing is True
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assert i._is_strictly_monotonic_decreasing is True
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i = MultiIndex.from_product(
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[np.arange(10), np.arange(10, 0, -1)], names=["one", "two"]
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)
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assert i.is_monotonic_decreasing is False
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assert i._is_strictly_monotonic_decreasing is False
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assert Index(i.values).is_monotonic_decreasing is False
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assert Index(i.values)._is_strictly_monotonic_decreasing is False
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i = MultiIndex.from_product(
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[np.arange(10, 0, -1), np.arange(10)], names=["one", "two"]
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)
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assert i.is_monotonic_decreasing is False
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assert i._is_strictly_monotonic_decreasing is False
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assert Index(i.values).is_monotonic_decreasing is False
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assert Index(i.values)._is_strictly_monotonic_decreasing is False
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i = MultiIndex.from_product([[2.0, np.nan, 1.0], ["c", "b", "a"]])
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assert i.is_monotonic_decreasing is False
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assert i._is_strictly_monotonic_decreasing is False
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assert Index(i.values).is_monotonic_decreasing is False
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assert Index(i.values)._is_strictly_monotonic_decreasing is False
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# string ordering
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i = MultiIndex(
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levels=[["qux", "foo", "baz", "bar"], ["three", "two", "one"]],
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codes=[[0, 0, 0, 1, 1, 2, 2, 3, 3, 3], [0, 1, 2, 0, 1, 1, 2, 0, 1, 2]],
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names=["first", "second"],
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)
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assert i.is_monotonic_decreasing is False
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assert Index(i.values).is_monotonic_decreasing is False
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assert i._is_strictly_monotonic_decreasing is False
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assert Index(i.values)._is_strictly_monotonic_decreasing is False
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i = MultiIndex(
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levels=[["qux", "foo", "baz", "bar"], ["zenith", "next", "mom"]],
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codes=[[0, 0, 0, 1, 1, 2, 2, 3, 3, 3], [0, 1, 2, 0, 1, 1, 2, 0, 1, 2]],
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names=["first", "second"],
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)
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assert i.is_monotonic_decreasing is True
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assert Index(i.values).is_monotonic_decreasing is True
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assert i._is_strictly_monotonic_decreasing is True
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assert Index(i.values)._is_strictly_monotonic_decreasing is True
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# mixed levels, hits the TypeError
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i = MultiIndex(
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levels=[
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[4, 3, 2, 1],
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[
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"nl0000301109",
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"nl0000289965",
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"nl0000289783",
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"lu0197800237",
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"gb00b03mlx29",
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],
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],
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codes=[[0, 1, 1, 2, 2, 2, 3], [4, 2, 0, 0, 1, 3, -1]],
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names=["household_id", "asset_id"],
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)
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assert i.is_monotonic_decreasing is False
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assert i._is_strictly_monotonic_decreasing is False
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# empty
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i = MultiIndex.from_arrays([[], []])
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assert i.is_monotonic_decreasing is True
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assert Index(i.values).is_monotonic_decreasing is True
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assert i._is_strictly_monotonic_decreasing is True
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assert Index(i.values)._is_strictly_monotonic_decreasing is True
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def test_is_strictly_monotonic_increasing():
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idx = MultiIndex(
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levels=[["bar", "baz"], ["mom", "next"]], codes=[[0, 0, 1, 1], [0, 0, 0, 1]]
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)
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assert idx.is_monotonic_increasing is True
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assert idx._is_strictly_monotonic_increasing is False
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def test_is_strictly_monotonic_decreasing():
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idx = MultiIndex(
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levels=[["baz", "bar"], ["next", "mom"]], codes=[[0, 0, 1, 1], [0, 0, 0, 1]]
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)
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assert idx.is_monotonic_decreasing is True
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assert idx._is_strictly_monotonic_decreasing is False
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@pytest.mark.parametrize("attr", ["is_monotonic_increasing", "is_monotonic_decreasing"])
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@pytest.mark.parametrize(
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"values",
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[[(np.nan,), (1,), (2,)], [(1,), (np.nan,), (2,)], [(1,), (2,), (np.nan,)]],
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)
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def test_is_monotonic_with_nans(values, attr):
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# GH: 37220
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idx = MultiIndex.from_tuples(values, names=["test"])
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assert getattr(idx, attr) is False
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