167 lines
5.5 KiB
Python
167 lines
5.5 KiB
Python
from datetime import (
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datetime,
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timedelta,
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)
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import numpy as np
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import pytest
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import pandas._testing as tm
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from pandas.core.indexes.api import (
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Float64Index,
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Index,
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Int64Index,
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RangeIndex,
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UInt64Index,
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)
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@pytest.fixture
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def index_large():
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# large values used in TestUInt64Index where no compat needed with Int64/Float64
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large = [2**63, 2**63 + 10, 2**63 + 15, 2**63 + 20, 2**63 + 25]
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return UInt64Index(large)
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class TestSetOps:
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@pytest.mark.parametrize("dtype", ["f8", "u8", "i8"])
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def test_union_non_numeric(self, dtype):
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# corner case, non-numeric
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index = Index(np.arange(5, dtype=dtype), dtype=dtype)
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assert index.dtype == dtype
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other = Index([datetime.now() + timedelta(i) for i in range(4)], dtype=object)
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result = index.union(other)
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expected = Index(np.concatenate((index, other)))
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tm.assert_index_equal(result, expected)
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result = other.union(index)
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expected = Index(np.concatenate((other, index)))
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tm.assert_index_equal(result, expected)
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def test_intersection(self):
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index = Int64Index(range(5))
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other = Index([1, 2, 3, 4, 5])
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result = index.intersection(other)
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expected = Index(np.sort(np.intersect1d(index.values, other.values)))
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tm.assert_index_equal(result, expected)
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result = other.intersection(index)
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expected = Index(
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np.sort(np.asarray(np.intersect1d(index.values, other.values)))
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)
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tm.assert_index_equal(result, expected)
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@pytest.mark.parametrize("dtype", ["int64", "uint64"])
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def test_int_float_union_dtype(self, dtype):
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# https://github.com/pandas-dev/pandas/issues/26778
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# [u]int | float -> float
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index = Index([0, 2, 3], dtype=dtype)
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other = Float64Index([0.5, 1.5])
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expected = Float64Index([0.0, 0.5, 1.5, 2.0, 3.0])
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result = index.union(other)
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tm.assert_index_equal(result, expected)
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result = other.union(index)
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tm.assert_index_equal(result, expected)
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def test_range_float_union_dtype(self):
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# https://github.com/pandas-dev/pandas/issues/26778
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index = RangeIndex(start=0, stop=3)
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other = Float64Index([0.5, 1.5])
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result = index.union(other)
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expected = Float64Index([0.0, 0.5, 1, 1.5, 2.0])
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tm.assert_index_equal(result, expected)
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result = other.union(index)
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tm.assert_index_equal(result, expected)
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def test_float64_index_difference(self):
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# https://github.com/pandas-dev/pandas/issues/35217
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float_index = Index([1.0, 2, 3])
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string_index = Index(["1", "2", "3"])
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result = float_index.difference(string_index)
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tm.assert_index_equal(result, float_index)
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result = string_index.difference(float_index)
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tm.assert_index_equal(result, string_index)
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def test_intersection_uint64_outside_int64_range(self, index_large):
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other = Index([2**63, 2**63 + 5, 2**63 + 10, 2**63 + 15, 2**63 + 20])
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result = index_large.intersection(other)
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expected = Index(np.sort(np.intersect1d(index_large.values, other.values)))
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tm.assert_index_equal(result, expected)
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result = other.intersection(index_large)
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expected = Index(
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np.sort(np.asarray(np.intersect1d(index_large.values, other.values)))
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)
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tm.assert_index_equal(result, expected)
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@pytest.mark.parametrize(
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"index2,keeps_name",
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[
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(Index([4, 7, 6, 5, 3], name="index"), True),
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(Index([4, 7, 6, 5, 3], name="other"), False),
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],
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)
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def test_intersection_monotonic(self, index2, keeps_name, sort):
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index1 = Index([5, 3, 2, 4, 1], name="index")
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expected = Index([5, 3, 4])
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if keeps_name:
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expected.name = "index"
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result = index1.intersection(index2, sort=sort)
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if sort is None:
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expected = expected.sort_values()
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tm.assert_index_equal(result, expected)
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def test_symmetric_difference(self, sort):
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# smoke
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index1 = Index([5, 2, 3, 4], name="index1")
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index2 = Index([2, 3, 4, 1])
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result = index1.symmetric_difference(index2, sort=sort)
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expected = Index([5, 1])
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assert tm.equalContents(result, expected)
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assert result.name is None
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if sort is None:
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expected = expected.sort_values()
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tm.assert_index_equal(result, expected)
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# __xor__ syntax
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with tm.assert_produces_warning(FutureWarning):
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expected = index1 ^ index2
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assert tm.equalContents(result, expected)
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assert result.name is None
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class TestSetOpsSort:
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@pytest.mark.parametrize("slice_", [slice(None), slice(0)])
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def test_union_sort_other_special(self, slice_):
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# https://github.com/pandas-dev/pandas/issues/24959
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idx = Index([1, 0, 2])
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# default, sort=None
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other = idx[slice_]
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tm.assert_index_equal(idx.union(other), idx)
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tm.assert_index_equal(other.union(idx), idx)
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# sort=False
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tm.assert_index_equal(idx.union(other, sort=False), idx)
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@pytest.mark.xfail(reason="Not implemented")
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@pytest.mark.parametrize("slice_", [slice(None), slice(0)])
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def test_union_sort_special_true(self, slice_):
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# TODO(GH#25151): decide on True behaviour
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# sort=True
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idx = Index([1, 0, 2])
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# default, sort=None
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other = idx[slice_]
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result = idx.union(other, sort=True)
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expected = Index([0, 1, 2])
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tm.assert_index_equal(result, expected)
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