Updated script that can be controled by Nodejs web app
This commit is contained in:
mac OS
@ -0,0 +1,164 @@
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from datetime import datetime
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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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RangeIndex,
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Series,
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)
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import pandas._testing as tm
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class TestRangeIndexConstructors:
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@pytest.mark.parametrize("name", [None, "foo"])
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@pytest.mark.parametrize(
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"args, kwargs, start, stop, step",
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[
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((5,), {}, 0, 5, 1),
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((1, 5), {}, 1, 5, 1),
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((1, 5, 2), {}, 1, 5, 2),
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((0,), {}, 0, 0, 1),
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((0, 0), {}, 0, 0, 1),
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((), {"start": 0}, 0, 0, 1),
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((), {"stop": 0}, 0, 0, 1),
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],
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)
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def test_constructor(self, args, kwargs, start, stop, step, name):
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result = RangeIndex(*args, name=name, **kwargs)
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expected = Index(np.arange(start, stop, step, dtype=np.int64), name=name)
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assert isinstance(result, RangeIndex)
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assert result.name is name
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assert result._range == range(start, stop, step)
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tm.assert_index_equal(result, expected, exact="equiv")
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def test_constructor_invalid_args(self):
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msg = "RangeIndex\\(\\.\\.\\.\\) must be called with integers"
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with pytest.raises(TypeError, match=msg):
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RangeIndex()
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with pytest.raises(TypeError, match=msg):
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RangeIndex(name="Foo")
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# we don't allow on a bare Index
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msg = (
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r"Index\(\.\.\.\) must be called with a collection of some "
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r"kind, 0 was passed"
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)
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with pytest.raises(TypeError, match=msg):
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Index(0)
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@pytest.mark.parametrize(
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"args",
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[
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Index(["a", "b"]),
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Series(["a", "b"]),
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np.array(["a", "b"]),
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[],
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np.arange(0, 10),
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np.array([1]),
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[1],
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],
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)
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def test_constructor_additional_invalid_args(self, args):
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msg = f"Value needs to be a scalar value, was type {type(args).__name__}"
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with pytest.raises(TypeError, match=msg):
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RangeIndex(args)
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@pytest.mark.parametrize("args", ["foo", datetime(2000, 1, 1, 0, 0)])
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def test_constructor_invalid_args_wrong_type(self, args):
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msg = f"Wrong type {type(args)} for value {args}"
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with pytest.raises(TypeError, match=msg):
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RangeIndex(args)
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def test_constructor_same(self):
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# pass thru w and w/o copy
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index = RangeIndex(1, 5, 2)
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result = RangeIndex(index, copy=False)
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assert result.identical(index)
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result = RangeIndex(index, copy=True)
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tm.assert_index_equal(result, index, exact=True)
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result = RangeIndex(index)
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tm.assert_index_equal(result, index, exact=True)
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with pytest.raises(
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ValueError,
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match="Incorrect `dtype` passed: expected signed integer, received float64",
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):
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RangeIndex(index, dtype="float64")
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def test_constructor_range_object(self):
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result = RangeIndex(range(1, 5, 2))
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expected = RangeIndex(1, 5, 2)
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tm.assert_index_equal(result, expected, exact=True)
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def test_constructor_range(self):
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result = RangeIndex.from_range(range(1, 5, 2))
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expected = RangeIndex(1, 5, 2)
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tm.assert_index_equal(result, expected, exact=True)
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result = RangeIndex.from_range(range(5, 6))
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expected = RangeIndex(5, 6, 1)
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tm.assert_index_equal(result, expected, exact=True)
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# an invalid range
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result = RangeIndex.from_range(range(5, 1))
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expected = RangeIndex(0, 0, 1)
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tm.assert_index_equal(result, expected, exact=True)
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result = RangeIndex.from_range(range(5))
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expected = RangeIndex(0, 5, 1)
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tm.assert_index_equal(result, expected, exact=True)
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result = Index(range(1, 5, 2))
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expected = RangeIndex(1, 5, 2)
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tm.assert_index_equal(result, expected, exact=True)
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msg = (
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r"(RangeIndex.)?from_range\(\) got an unexpected keyword argument( 'copy')?"
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)
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with pytest.raises(TypeError, match=msg):
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RangeIndex.from_range(range(10), copy=True)
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def test_constructor_name(self):
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# GH#12288
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orig = RangeIndex(10)
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orig.name = "original"
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copy = RangeIndex(orig)
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copy.name = "copy"
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assert orig.name == "original"
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assert copy.name == "copy"
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new = Index(copy)
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assert new.name == "copy"
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new.name = "new"
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assert orig.name == "original"
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assert copy.name == "copy"
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assert new.name == "new"
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def test_constructor_corner(self):
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arr = np.array([1, 2, 3, 4], dtype=object)
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index = RangeIndex(1, 5)
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assert index.values.dtype == np.int64
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expected = Index(arr).astype("int64")
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tm.assert_index_equal(index, expected, exact="equiv")
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# non-int raise Exception
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with pytest.raises(TypeError, match=r"Wrong type \<class 'str'\>"):
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RangeIndex("1", "10", "1")
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with pytest.raises(TypeError, match=r"Wrong type \<class 'float'\>"):
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RangeIndex(1.1, 10.2, 1.3)
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# invalid passed type
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with pytest.raises(
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ValueError,
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match="Incorrect `dtype` passed: expected signed integer, received float64",
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):
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RangeIndex(1, 5, dtype="float64")
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@ -0,0 +1,137 @@
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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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RangeIndex,
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)
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import pandas._testing as tm
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class TestGetIndexer:
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def test_get_indexer(self):
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index = RangeIndex(start=0, stop=20, step=2)
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target = RangeIndex(10)
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indexer = index.get_indexer(target)
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expected = np.array([0, -1, 1, -1, 2, -1, 3, -1, 4, -1], dtype=np.intp)
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tm.assert_numpy_array_equal(indexer, expected)
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def test_get_indexer_pad(self):
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index = RangeIndex(start=0, stop=20, step=2)
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target = RangeIndex(10)
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indexer = index.get_indexer(target, method="pad")
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expected = np.array([0, 0, 1, 1, 2, 2, 3, 3, 4, 4], dtype=np.intp)
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tm.assert_numpy_array_equal(indexer, expected)
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def test_get_indexer_backfill(self):
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index = RangeIndex(start=0, stop=20, step=2)
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target = RangeIndex(10)
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indexer = index.get_indexer(target, method="backfill")
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expected = np.array([0, 1, 1, 2, 2, 3, 3, 4, 4, 5], dtype=np.intp)
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tm.assert_numpy_array_equal(indexer, expected)
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def test_get_indexer_limit(self):
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# GH#28631
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idx = RangeIndex(4)
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target = RangeIndex(6)
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result = idx.get_indexer(target, method="pad", limit=1)
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expected = np.array([0, 1, 2, 3, 3, -1], dtype=np.intp)
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tm.assert_numpy_array_equal(result, expected)
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@pytest.mark.parametrize("stop", [0, -1, -2])
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def test_get_indexer_decreasing(self, stop):
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# GH#28678
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index = RangeIndex(7, stop, -3)
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result = index.get_indexer(range(9))
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expected = np.array([-1, 2, -1, -1, 1, -1, -1, 0, -1], dtype=np.intp)
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tm.assert_numpy_array_equal(result, expected)
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class TestTake:
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def test_take_preserve_name(self):
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index = RangeIndex(1, 5, name="foo")
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taken = index.take([3, 0, 1])
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assert index.name == taken.name
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def test_take_fill_value(self):
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# GH#12631
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idx = RangeIndex(1, 4, name="xxx")
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result = idx.take(np.array([1, 0, -1]))
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expected = Index([2, 1, 3], dtype=np.int64, name="xxx")
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tm.assert_index_equal(result, expected)
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# fill_value
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msg = "Unable to fill values because RangeIndex cannot contain NA"
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with pytest.raises(ValueError, match=msg):
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idx.take(np.array([1, 0, -1]), fill_value=True)
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# allow_fill=False
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result = idx.take(np.array([1, 0, -1]), allow_fill=False, fill_value=True)
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expected = Index([2, 1, 3], dtype=np.int64, name="xxx")
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tm.assert_index_equal(result, expected)
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msg = "Unable to fill values because RangeIndex cannot contain NA"
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with pytest.raises(ValueError, match=msg):
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idx.take(np.array([1, 0, -2]), fill_value=True)
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with pytest.raises(ValueError, match=msg):
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idx.take(np.array([1, 0, -5]), fill_value=True)
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def test_take_raises_index_error(self):
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idx = RangeIndex(1, 4, name="xxx")
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msg = "index -5 is out of bounds for (axis 0 with )?size 3"
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with pytest.raises(IndexError, match=msg):
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idx.take(np.array([1, -5]))
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msg = "index -4 is out of bounds for (axis 0 with )?size 3"
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with pytest.raises(IndexError, match=msg):
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idx.take(np.array([1, -4]))
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# no errors
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result = idx.take(np.array([1, -3]))
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expected = Index([2, 1], dtype=np.int64, name="xxx")
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tm.assert_index_equal(result, expected)
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def test_take_accepts_empty_array(self):
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idx = RangeIndex(1, 4, name="foo")
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result = idx.take(np.array([]))
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expected = Index([], dtype=np.int64, name="foo")
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tm.assert_index_equal(result, expected)
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# empty index
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idx = RangeIndex(0, name="foo")
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result = idx.take(np.array([]))
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expected = Index([], dtype=np.int64, name="foo")
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tm.assert_index_equal(result, expected)
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def test_take_accepts_non_int64_array(self):
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idx = RangeIndex(1, 4, name="foo")
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result = idx.take(np.array([2, 1], dtype=np.uint32))
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expected = Index([3, 2], dtype=np.int64, name="foo")
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tm.assert_index_equal(result, expected)
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def test_take_when_index_has_step(self):
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idx = RangeIndex(1, 11, 3, name="foo") # [1, 4, 7, 10]
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result = idx.take(np.array([1, 0, -1, -4]))
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expected = Index([4, 1, 10, 1], dtype=np.int64, name="foo")
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tm.assert_index_equal(result, expected)
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def test_take_when_index_has_negative_step(self):
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idx = RangeIndex(11, -4, -2, name="foo") # [11, 9, 7, 5, 3, 1, -1, -3]
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result = idx.take(np.array([1, 0, -1, -8]))
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expected = Index([9, 11, -3, 11], dtype=np.int64, name="foo")
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tm.assert_index_equal(result, expected)
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class TestWhere:
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def test_where_putmask_range_cast(self):
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# GH#43240
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idx = RangeIndex(0, 5, name="test")
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mask = np.array([True, True, False, False, False])
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result = idx.putmask(mask, 10)
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expected = Index([10, 10, 2, 3, 4], dtype=np.int64, name="test")
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tm.assert_index_equal(result, expected)
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result = idx.where(~mask, 10)
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tm.assert_index_equal(result, expected)
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@ -0,0 +1,177 @@
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import numpy as np
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from pandas import (
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Index,
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RangeIndex,
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)
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import pandas._testing as tm
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class TestJoin:
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def test_join_outer(self):
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# join with Index[int64]
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index = RangeIndex(start=0, stop=20, step=2)
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other = Index(np.arange(25, 14, -1, dtype=np.int64))
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res, lidx, ridx = index.join(other, how="outer", return_indexers=True)
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noidx_res = index.join(other, how="outer")
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tm.assert_index_equal(res, noidx_res)
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eres = Index(
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[0, 2, 4, 6, 8, 10, 12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25]
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)
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elidx = np.array(
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[0, 1, 2, 3, 4, 5, 6, 7, -1, 8, -1, 9, -1, -1, -1, -1, -1, -1, -1],
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dtype=np.intp,
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)
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eridx = np.array(
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[-1, -1, -1, -1, -1, -1, -1, -1, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0],
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dtype=np.intp,
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)
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assert isinstance(res, Index) and res.dtype == np.dtype(np.int64)
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assert not isinstance(res, RangeIndex)
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tm.assert_index_equal(res, eres, exact=True)
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tm.assert_numpy_array_equal(lidx, elidx)
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tm.assert_numpy_array_equal(ridx, eridx)
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# join with RangeIndex
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other = RangeIndex(25, 14, -1)
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res, lidx, ridx = index.join(other, how="outer", return_indexers=True)
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noidx_res = index.join(other, how="outer")
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tm.assert_index_equal(res, noidx_res)
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assert isinstance(res, Index) and res.dtype == np.int64
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assert not isinstance(res, RangeIndex)
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tm.assert_index_equal(res, eres)
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tm.assert_numpy_array_equal(lidx, elidx)
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tm.assert_numpy_array_equal(ridx, eridx)
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def test_join_inner(self):
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# Join with non-RangeIndex
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index = RangeIndex(start=0, stop=20, step=2)
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other = Index(np.arange(25, 14, -1, dtype=np.int64))
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res, lidx, ridx = index.join(other, how="inner", return_indexers=True)
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# no guarantee of sortedness, so sort for comparison purposes
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ind = res.argsort()
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res = res.take(ind)
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lidx = lidx.take(ind)
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ridx = ridx.take(ind)
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eres = Index([16, 18])
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elidx = np.array([8, 9], dtype=np.intp)
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eridx = np.array([9, 7], dtype=np.intp)
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assert isinstance(res, Index) and res.dtype == np.int64
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tm.assert_index_equal(res, eres)
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tm.assert_numpy_array_equal(lidx, elidx)
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tm.assert_numpy_array_equal(ridx, eridx)
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# Join two RangeIndex
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other = RangeIndex(25, 14, -1)
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res, lidx, ridx = index.join(other, how="inner", return_indexers=True)
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assert isinstance(res, RangeIndex)
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tm.assert_index_equal(res, eres, exact="equiv")
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tm.assert_numpy_array_equal(lidx, elidx)
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tm.assert_numpy_array_equal(ridx, eridx)
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def test_join_left(self):
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# Join with Index[int64]
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index = RangeIndex(start=0, stop=20, step=2)
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other = Index(np.arange(25, 14, -1, dtype=np.int64))
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res, lidx, ridx = index.join(other, how="left", return_indexers=True)
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eres = index
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eridx = np.array([-1, -1, -1, -1, -1, -1, -1, -1, 9, 7], dtype=np.intp)
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assert isinstance(res, RangeIndex)
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tm.assert_index_equal(res, eres)
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assert lidx is None
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tm.assert_numpy_array_equal(ridx, eridx)
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# Join withRangeIndex
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other = Index(np.arange(25, 14, -1, dtype=np.int64))
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res, lidx, ridx = index.join(other, how="left", return_indexers=True)
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assert isinstance(res, RangeIndex)
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tm.assert_index_equal(res, eres)
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assert lidx is None
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tm.assert_numpy_array_equal(ridx, eridx)
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def test_join_right(self):
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# Join with Index[int64]
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index = RangeIndex(start=0, stop=20, step=2)
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other = Index(np.arange(25, 14, -1, dtype=np.int64))
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res, lidx, ridx = index.join(other, how="right", return_indexers=True)
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eres = other
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elidx = np.array([-1, -1, -1, -1, -1, -1, -1, 9, -1, 8, -1], dtype=np.intp)
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assert isinstance(other, Index) and other.dtype == np.int64
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tm.assert_index_equal(res, eres)
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tm.assert_numpy_array_equal(lidx, elidx)
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assert ridx is None
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# Join withRangeIndex
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other = RangeIndex(25, 14, -1)
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res, lidx, ridx = index.join(other, how="right", return_indexers=True)
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eres = other
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assert isinstance(other, RangeIndex)
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tm.assert_index_equal(res, eres)
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tm.assert_numpy_array_equal(lidx, elidx)
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assert ridx is None
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|
||||
def test_join_non_int_index(self):
|
||||
index = RangeIndex(start=0, stop=20, step=2)
|
||||
other = Index([3, 6, 7, 8, 10], dtype=object)
|
||||
|
||||
outer = index.join(other, how="outer")
|
||||
outer2 = other.join(index, how="outer")
|
||||
expected = Index([0, 2, 3, 4, 6, 7, 8, 10, 12, 14, 16, 18])
|
||||
tm.assert_index_equal(outer, outer2)
|
||||
tm.assert_index_equal(outer, expected)
|
||||
|
||||
inner = index.join(other, how="inner")
|
||||
inner2 = other.join(index, how="inner")
|
||||
expected = Index([6, 8, 10])
|
||||
tm.assert_index_equal(inner, inner2)
|
||||
tm.assert_index_equal(inner, expected)
|
||||
|
||||
left = index.join(other, how="left")
|
||||
tm.assert_index_equal(left, index.astype(object))
|
||||
|
||||
left2 = other.join(index, how="left")
|
||||
tm.assert_index_equal(left2, other)
|
||||
|
||||
right = index.join(other, how="right")
|
||||
tm.assert_index_equal(right, other)
|
||||
|
||||
right2 = other.join(index, how="right")
|
||||
tm.assert_index_equal(right2, index.astype(object))
|
||||
|
||||
def test_join_non_unique(self):
|
||||
index = RangeIndex(start=0, stop=20, step=2)
|
||||
other = Index([4, 4, 3, 3])
|
||||
|
||||
res, lidx, ridx = index.join(other, return_indexers=True)
|
||||
|
||||
eres = Index([0, 2, 4, 4, 6, 8, 10, 12, 14, 16, 18])
|
||||
elidx = np.array([0, 1, 2, 2, 3, 4, 5, 6, 7, 8, 9], dtype=np.intp)
|
||||
eridx = np.array([-1, -1, 0, 1, -1, -1, -1, -1, -1, -1, -1], dtype=np.intp)
|
||||
|
||||
tm.assert_index_equal(res, eres)
|
||||
tm.assert_numpy_array_equal(lidx, elidx)
|
||||
tm.assert_numpy_array_equal(ridx, eridx)
|
||||
|
||||
def test_join_self(self, join_type):
|
||||
index = RangeIndex(start=0, stop=20, step=2)
|
||||
joined = index.join(index, how=join_type)
|
||||
assert index is joined
|
||||
@ -0,0 +1,622 @@
|
||||
import numpy as np
|
||||
import pytest
|
||||
|
||||
from pandas.core.dtypes.common import ensure_platform_int
|
||||
|
||||
import pandas as pd
|
||||
from pandas import (
|
||||
Index,
|
||||
RangeIndex,
|
||||
)
|
||||
import pandas._testing as tm
|
||||
|
||||
|
||||
class TestRangeIndex:
|
||||
@pytest.fixture
|
||||
def simple_index(self):
|
||||
return RangeIndex(start=0, stop=20, step=2)
|
||||
|
||||
def test_constructor_unwraps_index(self):
|
||||
result = RangeIndex(1, 3)
|
||||
expected = np.array([1, 2], dtype=np.int64)
|
||||
tm.assert_numpy_array_equal(result._data, expected)
|
||||
|
||||
def test_can_hold_identifiers(self, simple_index):
|
||||
idx = simple_index
|
||||
key = idx[0]
|
||||
assert idx._can_hold_identifiers_and_holds_name(key) is False
|
||||
|
||||
def test_too_many_names(self, simple_index):
|
||||
index = simple_index
|
||||
with pytest.raises(ValueError, match="^Length"):
|
||||
index.names = ["roger", "harold"]
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"index, start, stop, step",
|
||||
[
|
||||
(RangeIndex(5), 0, 5, 1),
|
||||
(RangeIndex(0, 5), 0, 5, 1),
|
||||
(RangeIndex(5, step=2), 0, 5, 2),
|
||||
(RangeIndex(1, 5, 2), 1, 5, 2),
|
||||
],
|
||||
)
|
||||
def test_start_stop_step_attrs(self, index, start, stop, step):
|
||||
# GH 25710
|
||||
assert index.start == start
|
||||
assert index.stop == stop
|
||||
assert index.step == step
|
||||
|
||||
def test_copy(self):
|
||||
i = RangeIndex(5, name="Foo")
|
||||
i_copy = i.copy()
|
||||
assert i_copy is not i
|
||||
assert i_copy.identical(i)
|
||||
assert i_copy._range == range(0, 5, 1)
|
||||
assert i_copy.name == "Foo"
|
||||
|
||||
def test_repr(self):
|
||||
i = RangeIndex(5, name="Foo")
|
||||
result = repr(i)
|
||||
expected = "RangeIndex(start=0, stop=5, step=1, name='Foo')"
|
||||
assert result == expected
|
||||
|
||||
result = eval(result)
|
||||
tm.assert_index_equal(result, i, exact=True)
|
||||
|
||||
i = RangeIndex(5, 0, -1)
|
||||
result = repr(i)
|
||||
expected = "RangeIndex(start=5, stop=0, step=-1)"
|
||||
assert result == expected
|
||||
|
||||
result = eval(result)
|
||||
tm.assert_index_equal(result, i, exact=True)
|
||||
|
||||
def test_insert(self):
|
||||
idx = RangeIndex(5, name="Foo")
|
||||
result = idx[1:4]
|
||||
|
||||
# test 0th element
|
||||
tm.assert_index_equal(idx[0:4], result.insert(0, idx[0]), exact="equiv")
|
||||
|
||||
# GH 18295 (test missing)
|
||||
expected = Index([0, np.nan, 1, 2, 3, 4], dtype=np.float64)
|
||||
for na in [np.nan, None, pd.NA]:
|
||||
result = RangeIndex(5).insert(1, na)
|
||||
tm.assert_index_equal(result, expected)
|
||||
|
||||
result = RangeIndex(5).insert(1, pd.NaT)
|
||||
expected = Index([0, pd.NaT, 1, 2, 3, 4], dtype=object)
|
||||
tm.assert_index_equal(result, expected)
|
||||
|
||||
def test_insert_edges_preserves_rangeindex(self):
|
||||
idx = Index(range(4, 9, 2))
|
||||
|
||||
result = idx.insert(0, 2)
|
||||
expected = Index(range(2, 9, 2))
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
result = idx.insert(3, 10)
|
||||
expected = Index(range(4, 11, 2))
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
def test_insert_middle_preserves_rangeindex(self):
|
||||
# insert in the middle
|
||||
idx = Index(range(0, 3, 2))
|
||||
result = idx.insert(1, 1)
|
||||
expected = Index(range(3))
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
idx = idx * 2
|
||||
result = idx.insert(1, 2)
|
||||
expected = expected * 2
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
def test_delete(self):
|
||||
idx = RangeIndex(5, name="Foo")
|
||||
expected = idx[1:]
|
||||
result = idx.delete(0)
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
assert result.name == expected.name
|
||||
|
||||
expected = idx[:-1]
|
||||
result = idx.delete(-1)
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
assert result.name == expected.name
|
||||
|
||||
msg = "index 5 is out of bounds for axis 0 with size 5"
|
||||
with pytest.raises((IndexError, ValueError), match=msg):
|
||||
# either depending on numpy version
|
||||
result = idx.delete(len(idx))
|
||||
|
||||
def test_delete_preserves_rangeindex(self):
|
||||
idx = Index(range(2), name="foo")
|
||||
|
||||
result = idx.delete([1])
|
||||
expected = Index(range(1), name="foo")
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
result = idx.delete(1)
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
def test_delete_preserves_rangeindex_middle(self):
|
||||
idx = Index(range(3), name="foo")
|
||||
result = idx.delete(1)
|
||||
expected = idx[::2]
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
result = idx.delete(-2)
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
def test_delete_preserves_rangeindex_list_at_end(self):
|
||||
idx = RangeIndex(0, 6, 1)
|
||||
|
||||
loc = [2, 3, 4, 5]
|
||||
result = idx.delete(loc)
|
||||
expected = idx[:2]
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
result = idx.delete(loc[::-1])
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
def test_delete_preserves_rangeindex_list_middle(self):
|
||||
idx = RangeIndex(0, 6, 1)
|
||||
|
||||
loc = [1, 2, 3, 4]
|
||||
result = idx.delete(loc)
|
||||
expected = RangeIndex(0, 6, 5)
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
result = idx.delete(loc[::-1])
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
def test_delete_all_preserves_rangeindex(self):
|
||||
idx = RangeIndex(0, 6, 1)
|
||||
|
||||
loc = [0, 1, 2, 3, 4, 5]
|
||||
result = idx.delete(loc)
|
||||
expected = idx[:0]
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
result = idx.delete(loc[::-1])
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
def test_delete_not_preserving_rangeindex(self):
|
||||
idx = RangeIndex(0, 6, 1)
|
||||
|
||||
loc = [0, 3, 5]
|
||||
result = idx.delete(loc)
|
||||
expected = Index([1, 2, 4])
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
result = idx.delete(loc[::-1])
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
def test_view(self):
|
||||
i = RangeIndex(0, name="Foo")
|
||||
i_view = i.view()
|
||||
assert i_view.name == "Foo"
|
||||
|
||||
i_view = i.view("i8")
|
||||
tm.assert_numpy_array_equal(i.values, i_view)
|
||||
|
||||
msg = "Passing a type in RangeIndex.view is deprecated"
|
||||
with tm.assert_produces_warning(FutureWarning, match=msg):
|
||||
i_view = i.view(RangeIndex)
|
||||
tm.assert_index_equal(i, i_view)
|
||||
|
||||
def test_dtype(self, simple_index):
|
||||
index = simple_index
|
||||
assert index.dtype == np.int64
|
||||
|
||||
def test_cache(self):
|
||||
# GH 26565, GH26617, GH35432, GH53387
|
||||
# This test checks whether _cache has been set.
|
||||
# Calling RangeIndex._cache["_data"] creates an int64 array of the same length
|
||||
# as the RangeIndex and stores it in _cache.
|
||||
idx = RangeIndex(0, 100, 10)
|
||||
|
||||
assert idx._cache == {}
|
||||
|
||||
repr(idx)
|
||||
assert idx._cache == {}
|
||||
|
||||
str(idx)
|
||||
assert idx._cache == {}
|
||||
|
||||
idx.get_loc(20)
|
||||
assert idx._cache == {}
|
||||
|
||||
90 in idx # True
|
||||
assert idx._cache == {}
|
||||
|
||||
91 in idx # False
|
||||
assert idx._cache == {}
|
||||
|
||||
idx.all()
|
||||
assert idx._cache == {}
|
||||
|
||||
idx.any()
|
||||
assert idx._cache == {}
|
||||
|
||||
for _ in idx:
|
||||
pass
|
||||
assert idx._cache == {}
|
||||
|
||||
msg = "RangeIndex.format is deprecated"
|
||||
with tm.assert_produces_warning(FutureWarning, match=msg):
|
||||
idx.format()
|
||||
assert idx._cache == {}
|
||||
|
||||
df = pd.DataFrame({"a": range(10)}, index=idx)
|
||||
|
||||
# df.__repr__ should not populate index cache
|
||||
str(df)
|
||||
assert idx._cache == {}
|
||||
|
||||
df.loc[50]
|
||||
assert idx._cache == {}
|
||||
|
||||
with pytest.raises(KeyError, match="51"):
|
||||
df.loc[51]
|
||||
assert idx._cache == {}
|
||||
|
||||
df.loc[10:50]
|
||||
assert idx._cache == {}
|
||||
|
||||
df.iloc[5:10]
|
||||
assert idx._cache == {}
|
||||
|
||||
# after calling take, _cache may contain other keys, but not "_data"
|
||||
idx.take([3, 0, 1])
|
||||
assert "_data" not in idx._cache
|
||||
|
||||
df.loc[[50]]
|
||||
assert "_data" not in idx._cache
|
||||
|
||||
df.iloc[[5, 6, 7, 8, 9]]
|
||||
assert "_data" not in idx._cache
|
||||
|
||||
# idx._cache should contain a _data entry after call to idx._data
|
||||
idx._data
|
||||
assert isinstance(idx._data, np.ndarray)
|
||||
assert idx._data is idx._data # check cached value is reused
|
||||
assert "_data" in idx._cache
|
||||
expected = np.arange(0, 100, 10, dtype="int64")
|
||||
tm.assert_numpy_array_equal(idx._cache["_data"], expected)
|
||||
|
||||
def test_is_monotonic(self):
|
||||
index = RangeIndex(0, 20, 2)
|
||||
assert index.is_monotonic_increasing is True
|
||||
assert index.is_monotonic_increasing is True
|
||||
assert index.is_monotonic_decreasing is False
|
||||
assert index._is_strictly_monotonic_increasing is True
|
||||
assert index._is_strictly_monotonic_decreasing is False
|
||||
|
||||
index = RangeIndex(4, 0, -1)
|
||||
assert index.is_monotonic_increasing is False
|
||||
assert index._is_strictly_monotonic_increasing is False
|
||||
assert index.is_monotonic_decreasing is True
|
||||
assert index._is_strictly_monotonic_decreasing is True
|
||||
|
||||
index = RangeIndex(1, 2)
|
||||
assert index.is_monotonic_increasing is True
|
||||
assert index.is_monotonic_increasing is True
|
||||
assert index.is_monotonic_decreasing is True
|
||||
assert index._is_strictly_monotonic_increasing is True
|
||||
assert index._is_strictly_monotonic_decreasing is True
|
||||
|
||||
index = RangeIndex(2, 1)
|
||||
assert index.is_monotonic_increasing is True
|
||||
assert index.is_monotonic_increasing is True
|
||||
assert index.is_monotonic_decreasing is True
|
||||
assert index._is_strictly_monotonic_increasing is True
|
||||
assert index._is_strictly_monotonic_decreasing is True
|
||||
|
||||
index = RangeIndex(1, 1)
|
||||
assert index.is_monotonic_increasing is True
|
||||
assert index.is_monotonic_increasing is True
|
||||
assert index.is_monotonic_decreasing is True
|
||||
assert index._is_strictly_monotonic_increasing is True
|
||||
assert index._is_strictly_monotonic_decreasing is True
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"left,right",
|
||||
[
|
||||
(RangeIndex(0, 9, 2), RangeIndex(0, 10, 2)),
|
||||
(RangeIndex(0), RangeIndex(1, -1, 3)),
|
||||
(RangeIndex(1, 2, 3), RangeIndex(1, 3, 4)),
|
||||
(RangeIndex(0, -9, -2), RangeIndex(0, -10, -2)),
|
||||
],
|
||||
)
|
||||
def test_equals_range(self, left, right):
|
||||
assert left.equals(right)
|
||||
assert right.equals(left)
|
||||
|
||||
def test_logical_compat(self, simple_index):
|
||||
idx = simple_index
|
||||
assert idx.all() == idx.values.all()
|
||||
assert idx.any() == idx.values.any()
|
||||
|
||||
def test_identical(self, simple_index):
|
||||
index = simple_index
|
||||
i = Index(index.copy())
|
||||
assert i.identical(index)
|
||||
|
||||
# we don't allow object dtype for RangeIndex
|
||||
if isinstance(index, RangeIndex):
|
||||
return
|
||||
|
||||
same_values_different_type = Index(i, dtype=object)
|
||||
assert not i.identical(same_values_different_type)
|
||||
|
||||
i = index.copy(dtype=object)
|
||||
i = i.rename("foo")
|
||||
same_values = Index(i, dtype=object)
|
||||
assert same_values.identical(index.copy(dtype=object))
|
||||
|
||||
assert not i.identical(index)
|
||||
assert Index(same_values, name="foo", dtype=object).identical(i)
|
||||
|
||||
assert not index.copy(dtype=object).identical(index.copy(dtype="int64"))
|
||||
|
||||
def test_nbytes(self):
|
||||
# memory savings vs int index
|
||||
idx = RangeIndex(0, 1000)
|
||||
assert idx.nbytes < Index(idx._values).nbytes / 10
|
||||
|
||||
# constant memory usage
|
||||
i2 = RangeIndex(0, 10)
|
||||
assert idx.nbytes == i2.nbytes
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"start,stop,step",
|
||||
[
|
||||
# can't
|
||||
("foo", "bar", "baz"),
|
||||
# shouldn't
|
||||
("0", "1", "2"),
|
||||
],
|
||||
)
|
||||
def test_cant_or_shouldnt_cast(self, start, stop, step):
|
||||
msg = f"Wrong type {type(start)} for value {start}"
|
||||
with pytest.raises(TypeError, match=msg):
|
||||
RangeIndex(start, stop, step)
|
||||
|
||||
def test_view_index(self, simple_index):
|
||||
index = simple_index
|
||||
msg = "Passing a type in RangeIndex.view is deprecated"
|
||||
with tm.assert_produces_warning(FutureWarning, match=msg):
|
||||
index.view(Index)
|
||||
|
||||
def test_prevent_casting(self, simple_index):
|
||||
index = simple_index
|
||||
result = index.astype("O")
|
||||
assert result.dtype == np.object_
|
||||
|
||||
def test_repr_roundtrip(self, simple_index):
|
||||
index = simple_index
|
||||
tm.assert_index_equal(eval(repr(index)), index)
|
||||
|
||||
def test_slice_keep_name(self):
|
||||
idx = RangeIndex(1, 2, name="asdf")
|
||||
assert idx.name == idx[1:].name
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"index",
|
||||
[
|
||||
RangeIndex(start=0, stop=20, step=2, name="foo"),
|
||||
RangeIndex(start=18, stop=-1, step=-2, name="bar"),
|
||||
],
|
||||
ids=["index_inc", "index_dec"],
|
||||
)
|
||||
def test_has_duplicates(self, index):
|
||||
assert index.is_unique
|
||||
assert not index.has_duplicates
|
||||
|
||||
def test_extended_gcd(self, simple_index):
|
||||
index = simple_index
|
||||
result = index._extended_gcd(6, 10)
|
||||
assert result[0] == result[1] * 6 + result[2] * 10
|
||||
assert 2 == result[0]
|
||||
|
||||
result = index._extended_gcd(10, 6)
|
||||
assert 2 == result[1] * 10 + result[2] * 6
|
||||
assert 2 == result[0]
|
||||
|
||||
def test_min_fitting_element(self):
|
||||
result = RangeIndex(0, 20, 2)._min_fitting_element(1)
|
||||
assert 2 == result
|
||||
|
||||
result = RangeIndex(1, 6)._min_fitting_element(1)
|
||||
assert 1 == result
|
||||
|
||||
result = RangeIndex(18, -2, -2)._min_fitting_element(1)
|
||||
assert 2 == result
|
||||
|
||||
result = RangeIndex(5, 0, -1)._min_fitting_element(1)
|
||||
assert 1 == result
|
||||
|
||||
big_num = 500000000000000000000000
|
||||
|
||||
result = RangeIndex(5, big_num * 2, 1)._min_fitting_element(big_num)
|
||||
assert big_num == result
|
||||
|
||||
def test_slice_specialised(self, simple_index):
|
||||
index = simple_index
|
||||
index.name = "foo"
|
||||
|
||||
# scalar indexing
|
||||
res = index[1]
|
||||
expected = 2
|
||||
assert res == expected
|
||||
|
||||
res = index[-1]
|
||||
expected = 18
|
||||
assert res == expected
|
||||
|
||||
# slicing
|
||||
# slice value completion
|
||||
index_slice = index[:]
|
||||
expected = index
|
||||
tm.assert_index_equal(index_slice, expected)
|
||||
|
||||
# positive slice values
|
||||
index_slice = index[7:10:2]
|
||||
expected = Index([14, 18], name="foo")
|
||||
tm.assert_index_equal(index_slice, expected, exact="equiv")
|
||||
|
||||
# negative slice values
|
||||
index_slice = index[-1:-5:-2]
|
||||
expected = Index([18, 14], name="foo")
|
||||
tm.assert_index_equal(index_slice, expected, exact="equiv")
|
||||
|
||||
# stop overshoot
|
||||
index_slice = index[2:100:4]
|
||||
expected = Index([4, 12], name="foo")
|
||||
tm.assert_index_equal(index_slice, expected, exact="equiv")
|
||||
|
||||
# reverse
|
||||
index_slice = index[::-1]
|
||||
expected = Index(index.values[::-1], name="foo")
|
||||
tm.assert_index_equal(index_slice, expected, exact="equiv")
|
||||
|
||||
index_slice = index[-8::-1]
|
||||
expected = Index([4, 2, 0], name="foo")
|
||||
tm.assert_index_equal(index_slice, expected, exact="equiv")
|
||||
|
||||
index_slice = index[-40::-1]
|
||||
expected = Index(np.array([], dtype=np.int64), name="foo")
|
||||
tm.assert_index_equal(index_slice, expected, exact="equiv")
|
||||
|
||||
index_slice = index[40::-1]
|
||||
expected = Index(index.values[40::-1], name="foo")
|
||||
tm.assert_index_equal(index_slice, expected, exact="equiv")
|
||||
|
||||
index_slice = index[10::-1]
|
||||
expected = Index(index.values[::-1], name="foo")
|
||||
tm.assert_index_equal(index_slice, expected, exact="equiv")
|
||||
|
||||
@pytest.mark.parametrize("step", set(range(-5, 6)) - {0})
|
||||
def test_len_specialised(self, step):
|
||||
# make sure that our len is the same as np.arange calc
|
||||
start, stop = (0, 5) if step > 0 else (5, 0)
|
||||
|
||||
arr = np.arange(start, stop, step)
|
||||
index = RangeIndex(start, stop, step)
|
||||
assert len(index) == len(arr)
|
||||
|
||||
index = RangeIndex(stop, start, step)
|
||||
assert len(index) == 0
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"indices, expected",
|
||||
[
|
||||
([RangeIndex(1, 12, 5)], RangeIndex(1, 12, 5)),
|
||||
([RangeIndex(0, 6, 4)], RangeIndex(0, 6, 4)),
|
||||
([RangeIndex(1, 3), RangeIndex(3, 7)], RangeIndex(1, 7)),
|
||||
([RangeIndex(1, 5, 2), RangeIndex(5, 6)], RangeIndex(1, 6, 2)),
|
||||
([RangeIndex(1, 3, 2), RangeIndex(4, 7, 3)], RangeIndex(1, 7, 3)),
|
||||
([RangeIndex(-4, 3, 2), RangeIndex(4, 7, 2)], RangeIndex(-4, 7, 2)),
|
||||
([RangeIndex(-4, -8), RangeIndex(-8, -12)], RangeIndex(0, 0)),
|
||||
([RangeIndex(-4, -8), RangeIndex(3, -4)], RangeIndex(0, 0)),
|
||||
([RangeIndex(-4, -8), RangeIndex(3, 5)], RangeIndex(3, 5)),
|
||||
([RangeIndex(-4, -2), RangeIndex(3, 5)], Index([-4, -3, 3, 4])),
|
||||
([RangeIndex(-2), RangeIndex(3, 5)], RangeIndex(3, 5)),
|
||||
([RangeIndex(2), RangeIndex(2)], Index([0, 1, 0, 1])),
|
||||
([RangeIndex(2), RangeIndex(2, 5), RangeIndex(5, 8, 4)], RangeIndex(0, 6)),
|
||||
(
|
||||
[RangeIndex(2), RangeIndex(3, 5), RangeIndex(5, 8, 4)],
|
||||
Index([0, 1, 3, 4, 5]),
|
||||
),
|
||||
(
|
||||
[RangeIndex(-2, 2), RangeIndex(2, 5), RangeIndex(5, 8, 4)],
|
||||
RangeIndex(-2, 6),
|
||||
),
|
||||
([RangeIndex(3), Index([-1, 3, 15])], Index([0, 1, 2, -1, 3, 15])),
|
||||
([RangeIndex(3), Index([-1, 3.1, 15.0])], Index([0, 1, 2, -1, 3.1, 15.0])),
|
||||
([RangeIndex(3), Index(["a", None, 14])], Index([0, 1, 2, "a", None, 14])),
|
||||
([RangeIndex(3, 1), Index(["a", None, 14])], Index(["a", None, 14])),
|
||||
],
|
||||
)
|
||||
def test_append(self, indices, expected):
|
||||
# GH16212
|
||||
result = indices[0].append(indices[1:])
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
if len(indices) == 2:
|
||||
# Append single item rather than list
|
||||
result2 = indices[0].append(indices[1])
|
||||
tm.assert_index_equal(result2, expected, exact=True)
|
||||
|
||||
def test_engineless_lookup(self):
|
||||
# GH 16685
|
||||
# Standard lookup on RangeIndex should not require the engine to be
|
||||
# created
|
||||
idx = RangeIndex(2, 10, 3)
|
||||
|
||||
assert idx.get_loc(5) == 1
|
||||
tm.assert_numpy_array_equal(
|
||||
idx.get_indexer([2, 8]), ensure_platform_int(np.array([0, 2]))
|
||||
)
|
||||
with pytest.raises(KeyError, match="3"):
|
||||
idx.get_loc(3)
|
||||
|
||||
assert "_engine" not in idx._cache
|
||||
|
||||
# Different types of scalars can be excluded immediately, no need to
|
||||
# use the _engine
|
||||
with pytest.raises(KeyError, match="'a'"):
|
||||
idx.get_loc("a")
|
||||
|
||||
assert "_engine" not in idx._cache
|
||||
|
||||
def test_format_empty(self):
|
||||
# GH35712
|
||||
empty_idx = RangeIndex(0)
|
||||
msg = r"RangeIndex\.format is deprecated"
|
||||
with tm.assert_produces_warning(FutureWarning, match=msg):
|
||||
assert empty_idx.format() == []
|
||||
with tm.assert_produces_warning(FutureWarning, match=msg):
|
||||
assert empty_idx.format(name=True) == [""]
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"ri",
|
||||
[
|
||||
RangeIndex(0, -1, -1),
|
||||
RangeIndex(0, 1, 1),
|
||||
RangeIndex(1, 3, 2),
|
||||
RangeIndex(0, -1, -2),
|
||||
RangeIndex(-3, -5, -2),
|
||||
],
|
||||
)
|
||||
def test_append_len_one(self, ri):
|
||||
# GH39401
|
||||
result = ri.append([])
|
||||
tm.assert_index_equal(result, ri, exact=True)
|
||||
|
||||
@pytest.mark.parametrize("base", [RangeIndex(0, 2), Index([0, 1])])
|
||||
def test_isin_range(self, base):
|
||||
# GH#41151
|
||||
values = RangeIndex(0, 1)
|
||||
result = base.isin(values)
|
||||
expected = np.array([True, False])
|
||||
tm.assert_numpy_array_equal(result, expected)
|
||||
|
||||
def test_sort_values_key(self):
|
||||
# GH#43666, GH#52764
|
||||
sort_order = {8: 2, 6: 0, 4: 8, 2: 10, 0: 12}
|
||||
values = RangeIndex(0, 10, 2)
|
||||
result = values.sort_values(key=lambda x: x.map(sort_order))
|
||||
expected = Index([6, 8, 4, 2, 0], dtype="int64")
|
||||
tm.assert_index_equal(result, expected, check_exact=True)
|
||||
|
||||
# check this matches the Series.sort_values behavior
|
||||
ser = values.to_series()
|
||||
result2 = ser.sort_values(key=lambda x: x.map(sort_order))
|
||||
tm.assert_series_equal(result2, expected.to_series(), check_exact=True)
|
||||
|
||||
def test_range_index_rsub_by_const(self):
|
||||
# GH#53255
|
||||
result = 3 - RangeIndex(0, 4, 1)
|
||||
expected = RangeIndex(3, -1, -1)
|
||||
tm.assert_index_equal(result, expected)
|
||||
@ -0,0 +1,493 @@
|
||||
from datetime import (
|
||||
datetime,
|
||||
timedelta,
|
||||
)
|
||||
|
||||
from hypothesis import (
|
||||
assume,
|
||||
given,
|
||||
strategies as st,
|
||||
)
|
||||
import numpy as np
|
||||
import pytest
|
||||
|
||||
from pandas import (
|
||||
Index,
|
||||
RangeIndex,
|
||||
)
|
||||
import pandas._testing as tm
|
||||
|
||||
|
||||
class TestRangeIndexSetOps:
|
||||
@pytest.mark.parametrize("dtype", [None, "int64", "uint64"])
|
||||
def test_intersection_mismatched_dtype(self, dtype):
|
||||
# check that we cast to float, not object
|
||||
index = RangeIndex(start=0, stop=20, step=2, name="foo")
|
||||
index = Index(index, dtype=dtype)
|
||||
|
||||
flt = index.astype(np.float64)
|
||||
|
||||
# bc index.equals(flt), we go through fastpath and get RangeIndex back
|
||||
result = index.intersection(flt)
|
||||
tm.assert_index_equal(result, index, exact=True)
|
||||
|
||||
result = flt.intersection(index)
|
||||
tm.assert_index_equal(result, flt, exact=True)
|
||||
|
||||
# neither empty, not-equals
|
||||
result = index.intersection(flt[1:])
|
||||
tm.assert_index_equal(result, flt[1:], exact=True)
|
||||
|
||||
result = flt[1:].intersection(index)
|
||||
tm.assert_index_equal(result, flt[1:], exact=True)
|
||||
|
||||
# empty other
|
||||
result = index.intersection(flt[:0])
|
||||
tm.assert_index_equal(result, flt[:0], exact=True)
|
||||
|
||||
result = flt[:0].intersection(index)
|
||||
tm.assert_index_equal(result, flt[:0], exact=True)
|
||||
|
||||
def test_intersection_empty(self, sort, names):
|
||||
# name retention on empty intersections
|
||||
index = RangeIndex(start=0, stop=20, step=2, name=names[0])
|
||||
|
||||
# empty other
|
||||
result = index.intersection(index[:0].rename(names[1]), sort=sort)
|
||||
tm.assert_index_equal(result, index[:0].rename(names[2]), exact=True)
|
||||
|
||||
# empty self
|
||||
result = index[:0].intersection(index.rename(names[1]), sort=sort)
|
||||
tm.assert_index_equal(result, index[:0].rename(names[2]), exact=True)
|
||||
|
||||
def test_intersection(self, sort):
|
||||
# intersect with Index with dtype int64
|
||||
index = RangeIndex(start=0, stop=20, step=2)
|
||||
other = Index(np.arange(1, 6))
|
||||
result = index.intersection(other, sort=sort)
|
||||
expected = Index(np.sort(np.intersect1d(index.values, other.values)))
|
||||
tm.assert_index_equal(result, expected)
|
||||
|
||||
result = other.intersection(index, sort=sort)
|
||||
expected = Index(
|
||||
np.sort(np.asarray(np.intersect1d(index.values, other.values)))
|
||||
)
|
||||
tm.assert_index_equal(result, expected)
|
||||
|
||||
# intersect with increasing RangeIndex
|
||||
other = RangeIndex(1, 6)
|
||||
result = index.intersection(other, sort=sort)
|
||||
expected = Index(np.sort(np.intersect1d(index.values, other.values)))
|
||||
tm.assert_index_equal(result, expected, exact="equiv")
|
||||
|
||||
# intersect with decreasing RangeIndex
|
||||
other = RangeIndex(5, 0, -1)
|
||||
result = index.intersection(other, sort=sort)
|
||||
expected = Index(np.sort(np.intersect1d(index.values, other.values)))
|
||||
tm.assert_index_equal(result, expected, exact="equiv")
|
||||
|
||||
# reversed (GH 17296)
|
||||
result = other.intersection(index, sort=sort)
|
||||
tm.assert_index_equal(result, expected, exact="equiv")
|
||||
|
||||
# GH 17296: intersect two decreasing RangeIndexes
|
||||
first = RangeIndex(10, -2, -2)
|
||||
other = RangeIndex(5, -4, -1)
|
||||
expected = first.astype(int).intersection(other.astype(int), sort=sort)
|
||||
result = first.intersection(other, sort=sort).astype(int)
|
||||
tm.assert_index_equal(result, expected)
|
||||
|
||||
# reversed
|
||||
result = other.intersection(first, sort=sort).astype(int)
|
||||
tm.assert_index_equal(result, expected)
|
||||
|
||||
index = RangeIndex(5, name="foo")
|
||||
|
||||
# intersect of non-overlapping indices
|
||||
other = RangeIndex(5, 10, 1, name="foo")
|
||||
result = index.intersection(other, sort=sort)
|
||||
expected = RangeIndex(0, 0, 1, name="foo")
|
||||
tm.assert_index_equal(result, expected)
|
||||
|
||||
other = RangeIndex(-1, -5, -1)
|
||||
result = index.intersection(other, sort=sort)
|
||||
expected = RangeIndex(0, 0, 1)
|
||||
tm.assert_index_equal(result, expected)
|
||||
|
||||
# intersection of empty indices
|
||||
other = RangeIndex(0, 0, 1)
|
||||
result = index.intersection(other, sort=sort)
|
||||
expected = RangeIndex(0, 0, 1)
|
||||
tm.assert_index_equal(result, expected)
|
||||
|
||||
result = other.intersection(index, sort=sort)
|
||||
tm.assert_index_equal(result, expected)
|
||||
|
||||
def test_intersection_non_overlapping_gcd(self, sort, names):
|
||||
# intersection of non-overlapping values based on start value and gcd
|
||||
index = RangeIndex(1, 10, 2, name=names[0])
|
||||
other = RangeIndex(0, 10, 4, name=names[1])
|
||||
result = index.intersection(other, sort=sort)
|
||||
expected = RangeIndex(0, 0, 1, name=names[2])
|
||||
tm.assert_index_equal(result, expected)
|
||||
|
||||
def test_union_noncomparable(self, sort):
|
||||
# corner case, Index with non-int64 dtype
|
||||
index = RangeIndex(start=0, stop=20, step=2)
|
||||
other = Index([datetime.now() + timedelta(i) for i in range(4)], dtype=object)
|
||||
result = index.union(other, sort=sort)
|
||||
expected = Index(np.concatenate((index, other)))
|
||||
tm.assert_index_equal(result, expected)
|
||||
|
||||
result = other.union(index, sort=sort)
|
||||
expected = Index(np.concatenate((other, index)))
|
||||
tm.assert_index_equal(result, expected)
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"idx1, idx2, expected_sorted, expected_notsorted",
|
||||
[
|
||||
(
|
||||
RangeIndex(0, 10, 1),
|
||||
RangeIndex(0, 10, 1),
|
||||
RangeIndex(0, 10, 1),
|
||||
RangeIndex(0, 10, 1),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, 10, 1),
|
||||
RangeIndex(5, 20, 1),
|
||||
RangeIndex(0, 20, 1),
|
||||
RangeIndex(0, 20, 1),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, 10, 1),
|
||||
RangeIndex(10, 20, 1),
|
||||
RangeIndex(0, 20, 1),
|
||||
RangeIndex(0, 20, 1),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, -10, -1),
|
||||
RangeIndex(0, -10, -1),
|
||||
RangeIndex(0, -10, -1),
|
||||
RangeIndex(0, -10, -1),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, -10, -1),
|
||||
RangeIndex(-10, -20, -1),
|
||||
RangeIndex(-19, 1, 1),
|
||||
RangeIndex(0, -20, -1),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, 10, 2),
|
||||
RangeIndex(1, 10, 2),
|
||||
RangeIndex(0, 10, 1),
|
||||
Index(list(range(0, 10, 2)) + list(range(1, 10, 2))),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, 11, 2),
|
||||
RangeIndex(1, 12, 2),
|
||||
RangeIndex(0, 12, 1),
|
||||
Index(list(range(0, 11, 2)) + list(range(1, 12, 2))),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, 21, 4),
|
||||
RangeIndex(-2, 24, 4),
|
||||
RangeIndex(-2, 24, 2),
|
||||
Index(list(range(0, 21, 4)) + list(range(-2, 24, 4))),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, -20, -2),
|
||||
RangeIndex(-1, -21, -2),
|
||||
RangeIndex(-19, 1, 1),
|
||||
Index(list(range(0, -20, -2)) + list(range(-1, -21, -2))),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, 100, 5),
|
||||
RangeIndex(0, 100, 20),
|
||||
RangeIndex(0, 100, 5),
|
||||
RangeIndex(0, 100, 5),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, -100, -5),
|
||||
RangeIndex(5, -100, -20),
|
||||
RangeIndex(-95, 10, 5),
|
||||
Index(list(range(0, -100, -5)) + [5]),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, -11, -1),
|
||||
RangeIndex(1, -12, -4),
|
||||
RangeIndex(-11, 2, 1),
|
||||
Index(list(range(0, -11, -1)) + [1, -11]),
|
||||
),
|
||||
(RangeIndex(0), RangeIndex(0), RangeIndex(0), RangeIndex(0)),
|
||||
(
|
||||
RangeIndex(0, -10, -2),
|
||||
RangeIndex(0),
|
||||
RangeIndex(0, -10, -2),
|
||||
RangeIndex(0, -10, -2),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, 100, 2),
|
||||
RangeIndex(100, 150, 200),
|
||||
RangeIndex(0, 102, 2),
|
||||
RangeIndex(0, 102, 2),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, -100, -2),
|
||||
RangeIndex(-100, 50, 102),
|
||||
RangeIndex(-100, 4, 2),
|
||||
Index(list(range(0, -100, -2)) + [-100, 2]),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, -100, -1),
|
||||
RangeIndex(0, -50, -3),
|
||||
RangeIndex(-99, 1, 1),
|
||||
RangeIndex(0, -100, -1),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, 1, 1),
|
||||
RangeIndex(5, 6, 10),
|
||||
RangeIndex(0, 6, 5),
|
||||
RangeIndex(0, 10, 5),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, 10, 5),
|
||||
RangeIndex(-5, -6, -20),
|
||||
RangeIndex(-5, 10, 5),
|
||||
Index([0, 5, -5]),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, 3, 1),
|
||||
RangeIndex(4, 5, 1),
|
||||
Index([0, 1, 2, 4]),
|
||||
Index([0, 1, 2, 4]),
|
||||
),
|
||||
(
|
||||
RangeIndex(0, 10, 1),
|
||||
Index([], dtype=np.int64),
|
||||
RangeIndex(0, 10, 1),
|
||||
RangeIndex(0, 10, 1),
|
||||
),
|
||||
(
|
||||
RangeIndex(0),
|
||||
Index([1, 5, 6]),
|
||||
Index([1, 5, 6]),
|
||||
Index([1, 5, 6]),
|
||||
),
|
||||
# GH 43885
|
||||
(
|
||||
RangeIndex(0, 10),
|
||||
RangeIndex(0, 5),
|
||||
RangeIndex(0, 10),
|
||||
RangeIndex(0, 10),
|
||||
),
|
||||
],
|
||||
ids=lambda x: repr(x) if isinstance(x, RangeIndex) else x,
|
||||
)
|
||||
def test_union_sorted(self, idx1, idx2, expected_sorted, expected_notsorted):
|
||||
res1 = idx1.union(idx2, sort=None)
|
||||
tm.assert_index_equal(res1, expected_sorted, exact=True)
|
||||
|
||||
res1 = idx1.union(idx2, sort=False)
|
||||
tm.assert_index_equal(res1, expected_notsorted, exact=True)
|
||||
|
||||
res2 = idx2.union(idx1, sort=None)
|
||||
res3 = Index(idx1._values, name=idx1.name).union(idx2, sort=None)
|
||||
tm.assert_index_equal(res2, expected_sorted, exact=True)
|
||||
tm.assert_index_equal(res3, expected_sorted, exact="equiv")
|
||||
|
||||
def test_union_same_step_misaligned(self):
|
||||
# GH#44019
|
||||
left = RangeIndex(range(0, 20, 4))
|
||||
right = RangeIndex(range(1, 21, 4))
|
||||
|
||||
result = left.union(right)
|
||||
expected = Index([0, 1, 4, 5, 8, 9, 12, 13, 16, 17])
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
def test_difference(self):
|
||||
# GH#12034 Cases where we operate against another RangeIndex and may
|
||||
# get back another RangeIndex
|
||||
obj = RangeIndex.from_range(range(1, 10), name="foo")
|
||||
|
||||
result = obj.difference(obj)
|
||||
expected = RangeIndex.from_range(range(0), name="foo")
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
result = obj.difference(expected.rename("bar"))
|
||||
tm.assert_index_equal(result, obj.rename(None), exact=True)
|
||||
|
||||
result = obj.difference(obj[:3])
|
||||
tm.assert_index_equal(result, obj[3:], exact=True)
|
||||
|
||||
result = obj.difference(obj[-3:])
|
||||
tm.assert_index_equal(result, obj[:-3], exact=True)
|
||||
|
||||
# Flipping the step of 'other' doesn't affect the result, but
|
||||
# flipping the stepof 'self' does when sort=None
|
||||
result = obj[::-1].difference(obj[-3:])
|
||||
tm.assert_index_equal(result, obj[:-3], exact=True)
|
||||
|
||||
result = obj[::-1].difference(obj[-3:], sort=False)
|
||||
tm.assert_index_equal(result, obj[:-3][::-1], exact=True)
|
||||
|
||||
result = obj[::-1].difference(obj[-3:][::-1])
|
||||
tm.assert_index_equal(result, obj[:-3], exact=True)
|
||||
|
||||
result = obj[::-1].difference(obj[-3:][::-1], sort=False)
|
||||
tm.assert_index_equal(result, obj[:-3][::-1], exact=True)
|
||||
|
||||
result = obj.difference(obj[2:6])
|
||||
expected = Index([1, 2, 7, 8, 9], name="foo")
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
def test_difference_sort(self):
|
||||
# GH#44085 ensure we respect the sort keyword
|
||||
|
||||
idx = Index(range(4))[::-1]
|
||||
other = Index(range(3, 4))
|
||||
|
||||
result = idx.difference(other)
|
||||
expected = Index(range(3))
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
result = idx.difference(other, sort=False)
|
||||
expected = expected[::-1]
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
# case where the intersection is empty
|
||||
other = range(10, 12)
|
||||
result = idx.difference(other, sort=None)
|
||||
expected = idx[::-1]
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
def test_difference_mismatched_step(self):
|
||||
obj = RangeIndex.from_range(range(1, 10), name="foo")
|
||||
|
||||
result = obj.difference(obj[::2])
|
||||
expected = obj[1::2]
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
result = obj[::-1].difference(obj[::2], sort=False)
|
||||
tm.assert_index_equal(result, expected[::-1], exact=True)
|
||||
|
||||
result = obj.difference(obj[1::2])
|
||||
expected = obj[::2]
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
result = obj[::-1].difference(obj[1::2], sort=False)
|
||||
tm.assert_index_equal(result, expected[::-1], exact=True)
|
||||
|
||||
def test_difference_interior_overlap_endpoints_preserved(self):
|
||||
left = RangeIndex(range(4))
|
||||
right = RangeIndex(range(1, 3))
|
||||
|
||||
result = left.difference(right)
|
||||
expected = RangeIndex(0, 4, 3)
|
||||
assert expected.tolist() == [0, 3]
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
def test_difference_endpoints_overlap_interior_preserved(self):
|
||||
left = RangeIndex(-8, 20, 7)
|
||||
right = RangeIndex(13, -9, -3)
|
||||
|
||||
result = left.difference(right)
|
||||
expected = RangeIndex(-1, 13, 7)
|
||||
assert expected.tolist() == [-1, 6]
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
def test_difference_interior_non_preserving(self):
|
||||
# case with intersection of length 1 but RangeIndex is not preserved
|
||||
idx = Index(range(10))
|
||||
|
||||
other = idx[3:4]
|
||||
result = idx.difference(other)
|
||||
expected = Index([0, 1, 2, 4, 5, 6, 7, 8, 9])
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
# case with other.step / self.step > 2
|
||||
other = idx[::3]
|
||||
result = idx.difference(other)
|
||||
expected = Index([1, 2, 4, 5, 7, 8])
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
# cases with only reaching one end of left
|
||||
obj = Index(range(20))
|
||||
other = obj[:10:2]
|
||||
result = obj.difference(other)
|
||||
expected = Index([1, 3, 5, 7, 9] + list(range(10, 20)))
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
other = obj[1:11:2]
|
||||
result = obj.difference(other)
|
||||
expected = Index([0, 2, 4, 6, 8, 10] + list(range(11, 20)))
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
def test_symmetric_difference(self):
|
||||
# GH#12034 Cases where we operate against another RangeIndex and may
|
||||
# get back another RangeIndex
|
||||
left = RangeIndex.from_range(range(1, 10), name="foo")
|
||||
|
||||
result = left.symmetric_difference(left)
|
||||
expected = RangeIndex.from_range(range(0), name="foo")
|
||||
tm.assert_index_equal(result, expected)
|
||||
|
||||
result = left.symmetric_difference(expected.rename("bar"))
|
||||
tm.assert_index_equal(result, left.rename(None))
|
||||
|
||||
result = left[:-2].symmetric_difference(left[2:])
|
||||
expected = Index([1, 2, 8, 9], name="foo")
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
right = RangeIndex.from_range(range(10, 15))
|
||||
|
||||
result = left.symmetric_difference(right)
|
||||
expected = RangeIndex.from_range(range(1, 15))
|
||||
tm.assert_index_equal(result, expected)
|
||||
|
||||
result = left.symmetric_difference(right[1:])
|
||||
expected = Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14])
|
||||
tm.assert_index_equal(result, expected, exact=True)
|
||||
|
||||
|
||||
def assert_range_or_not_is_rangelike(index):
|
||||
"""
|
||||
Check that we either have a RangeIndex or that this index *cannot*
|
||||
be represented as a RangeIndex.
|
||||
"""
|
||||
if not isinstance(index, RangeIndex) and len(index) > 0:
|
||||
diff = index[:-1] - index[1:]
|
||||
assert not (diff == diff[0]).all()
|
||||
|
||||
|
||||
@given(
|
||||
st.integers(-20, 20),
|
||||
st.integers(-20, 20),
|
||||
st.integers(-20, 20),
|
||||
st.integers(-20, 20),
|
||||
st.integers(-20, 20),
|
||||
st.integers(-20, 20),
|
||||
)
|
||||
def test_range_difference(start1, stop1, step1, start2, stop2, step2):
|
||||
# test that
|
||||
# a) we match Index[int64].difference and
|
||||
# b) we return RangeIndex whenever it is possible to do so.
|
||||
assume(step1 != 0)
|
||||
assume(step2 != 0)
|
||||
|
||||
left = RangeIndex(start1, stop1, step1)
|
||||
right = RangeIndex(start2, stop2, step2)
|
||||
|
||||
result = left.difference(right, sort=None)
|
||||
assert_range_or_not_is_rangelike(result)
|
||||
|
||||
left_int64 = Index(left.to_numpy())
|
||||
right_int64 = Index(right.to_numpy())
|
||||
|
||||
alt = left_int64.difference(right_int64, sort=None)
|
||||
tm.assert_index_equal(result, alt, exact="equiv")
|
||||
|
||||
result = left.difference(right, sort=False)
|
||||
assert_range_or_not_is_rangelike(result)
|
||||
|
||||
alt = left_int64.difference(right_int64, sort=False)
|
||||
tm.assert_index_equal(result, alt, exact="equiv")
|
||||
Reference in New Issue
Block a user