aoc-2022/venv/Lib/site-packages/pandas/tests/indexes/multi/test_monotonic.py

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