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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