381 lines
15 KiB
Python
381 lines
15 KiB
Python
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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 Index
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class TestJoinInt64Index:
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def test_join_non_unique(self):
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left = Index([4, 4, 3, 3])
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joined, lidx, ridx = left.join(left, return_indexers=True)
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exp_joined = Index([3, 3, 3, 3, 4, 4, 4, 4])
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tm.assert_index_equal(joined, exp_joined)
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exp_lidx = np.array([2, 2, 3, 3, 0, 0, 1, 1], dtype=np.intp)
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tm.assert_numpy_array_equal(lidx, exp_lidx)
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exp_ridx = np.array([2, 3, 2, 3, 0, 1, 0, 1], dtype=np.intp)
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tm.assert_numpy_array_equal(ridx, exp_ridx)
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def test_join_inner(self):
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index = Index(range(0, 20, 2), dtype=np.int64)
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other = Index([7, 12, 25, 1, 2, 5], dtype=np.int64)
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other_mono = Index([1, 2, 5, 7, 12, 25], dtype=np.int64)
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# not monotonic
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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([2, 12], dtype=np.int64)
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elidx = np.array([1, 6], dtype=np.intp)
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eridx = np.array([4, 1], 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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# monotonic
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res, lidx, ridx = index.join(other_mono, how="inner", return_indexers=True)
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res2 = index.intersection(other_mono)
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tm.assert_index_equal(res, res2)
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elidx = np.array([1, 6], dtype=np.intp)
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eridx = np.array([1, 4], 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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def test_join_left(self):
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index = Index(range(0, 20, 2), dtype=np.int64)
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other = Index([7, 12, 25, 1, 2, 5], dtype=np.int64)
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other_mono = Index([1, 2, 5, 7, 12, 25], dtype=np.int64)
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# not monotonic
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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, 4, -1, -1, -1, -1, 1, -1, -1, -1], 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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assert lidx is None
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tm.assert_numpy_array_equal(ridx, eridx)
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# monotonic
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res, lidx, ridx = index.join(other_mono, how="left", return_indexers=True)
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eridx = np.array([-1, 1, -1, -1, -1, -1, 4, -1, -1, -1], 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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assert lidx is None
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tm.assert_numpy_array_equal(ridx, eridx)
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# non-unique
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idx = Index([1, 1, 2, 5])
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idx2 = Index([1, 2, 5, 7, 9])
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res, lidx, ridx = idx2.join(idx, how="left", return_indexers=True)
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eres = Index([1, 1, 2, 5, 7, 9]) # 1 is in idx2, so it should be x2
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eridx = np.array([0, 1, 2, 3, -1, -1], dtype=np.intp)
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elidx = np.array([0, 0, 1, 2, 3, 4], dtype=np.intp)
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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_right(self):
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index = Index(range(0, 20, 2), dtype=np.int64)
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other = Index([7, 12, 25, 1, 2, 5], dtype=np.int64)
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other_mono = Index([1, 2, 5, 7, 12, 25], dtype=np.int64)
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# not monotonic
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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, 6, -1, -1, 1, -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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# monotonic
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res, lidx, ridx = index.join(other_mono, how="right", return_indexers=True)
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eres = other_mono
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elidx = np.array([-1, 1, -1, -1, 6, -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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# non-unique
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idx = Index([1, 1, 2, 5])
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idx2 = Index([1, 2, 5, 7, 9])
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res, lidx, ridx = idx.join(idx2, how="right", return_indexers=True)
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eres = Index([1, 1, 2, 5, 7, 9]) # 1 is in idx2, so it should be x2
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elidx = np.array([0, 1, 2, 3, -1, -1], dtype=np.intp)
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eridx = np.array([0, 0, 1, 2, 3, 4], dtype=np.intp)
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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_non_int_index(self):
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index = Index(range(0, 20, 2), dtype=np.int64)
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other = Index([3, 6, 7, 8, 10], dtype=object)
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outer = index.join(other, how="outer")
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outer2 = other.join(index, how="outer")
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expected = Index([0, 2, 3, 4, 6, 7, 8, 10, 12, 14, 16, 18])
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tm.assert_index_equal(outer, outer2)
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tm.assert_index_equal(outer, expected)
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inner = index.join(other, how="inner")
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inner2 = other.join(index, how="inner")
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expected = Index([6, 8, 10])
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tm.assert_index_equal(inner, inner2)
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tm.assert_index_equal(inner, expected)
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left = index.join(other, how="left")
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tm.assert_index_equal(left, index.astype(object))
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left2 = other.join(index, how="left")
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tm.assert_index_equal(left2, other)
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right = index.join(other, how="right")
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tm.assert_index_equal(right, other)
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right2 = other.join(index, how="right")
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tm.assert_index_equal(right2, index.astype(object))
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def test_join_outer(self):
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index = Index(range(0, 20, 2), dtype=np.int64)
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other = Index([7, 12, 25, 1, 2, 5], dtype=np.int64)
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other_mono = Index([1, 2, 5, 7, 12, 25], dtype=np.int64)
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# not monotonic
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# guarantee of sortedness
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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([0, 1, 2, 4, 5, 6, 7, 8, 10, 12, 14, 16, 18, 25], dtype=np.int64)
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elidx = np.array([0, -1, 1, 2, -1, 3, -1, 4, 5, 6, 7, 8, 9, -1], dtype=np.intp)
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eridx = np.array(
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[-1, 3, 4, -1, 5, -1, 0, -1, -1, 1, -1, -1, -1, 2], dtype=np.intp
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)
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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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# monotonic
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res, lidx, ridx = index.join(other_mono, how="outer", return_indexers=True)
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noidx_res = index.join(other_mono, how="outer")
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tm.assert_index_equal(res, noidx_res)
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elidx = np.array([0, -1, 1, 2, -1, 3, -1, 4, 5, 6, 7, 8, 9, -1], dtype=np.intp)
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eridx = np.array(
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[-1, 0, 1, -1, 2, -1, 3, -1, -1, 4, -1, -1, -1, 5], dtype=np.intp
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)
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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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class TestJoinUInt64Index:
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@pytest.fixture
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def index_large(self):
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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 Index(large, dtype=np.uint64)
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def test_join_inner(self, index_large):
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other = Index(2**63 + np.array([7, 12, 25, 1, 2, 10], dtype="uint64"))
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other_mono = Index(2**63 + np.array([1, 2, 7, 10, 12, 25], dtype="uint64"))
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# not monotonic
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res, lidx, ridx = index_large.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(2**63 + np.array([10, 25], dtype="uint64"))
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elidx = np.array([1, 4], dtype=np.intp)
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eridx = np.array([5, 2], dtype=np.intp)
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assert isinstance(res, Index) and res.dtype == np.uint64
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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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# monotonic
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res, lidx, ridx = index_large.join(
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other_mono, how="inner", return_indexers=True
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)
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res2 = index_large.intersection(other_mono)
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tm.assert_index_equal(res, res2)
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elidx = np.array([1, 4], dtype=np.intp)
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eridx = np.array([3, 5], dtype=np.intp)
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assert isinstance(res, Index) and res.dtype == np.uint64
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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_left(self, index_large):
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other = Index(2**63 + np.array([7, 12, 25, 1, 2, 10], dtype="uint64"))
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other_mono = Index(2**63 + np.array([1, 2, 7, 10, 12, 25], dtype="uint64"))
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# not monotonic
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res, lidx, ridx = index_large.join(other, how="left", return_indexers=True)
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eres = index_large
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eridx = np.array([-1, 5, -1, -1, 2], dtype=np.intp)
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assert isinstance(res, Index) and res.dtype == np.uint64
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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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# monotonic
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res, lidx, ridx = index_large.join(other_mono, how="left", return_indexers=True)
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eridx = np.array([-1, 3, -1, -1, 5], dtype=np.intp)
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assert isinstance(res, Index) and res.dtype == np.uint64
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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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# non-unique
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idx = Index(2**63 + np.array([1, 1, 2, 5], dtype="uint64"))
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idx2 = Index(2**63 + np.array([1, 2, 5, 7, 9], dtype="uint64"))
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res, lidx, ridx = idx2.join(idx, how="left", return_indexers=True)
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# 1 is in idx2, so it should be x2
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eres = Index(2**63 + np.array([1, 1, 2, 5, 7, 9], dtype="uint64"))
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eridx = np.array([0, 1, 2, 3, -1, -1], dtype=np.intp)
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elidx = np.array([0, 0, 1, 2, 3, 4], dtype=np.intp)
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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_right(self, index_large):
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other = Index(2**63 + np.array([7, 12, 25, 1, 2, 10], dtype="uint64"))
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other_mono = Index(2**63 + np.array([1, 2, 7, 10, 12, 25], dtype="uint64"))
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# not monotonic
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res, lidx, ridx = index_large.join(other, how="right", return_indexers=True)
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eres = other
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elidx = np.array([-1, -1, 4, -1, -1, 1], dtype=np.intp)
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tm.assert_numpy_array_equal(lidx, elidx)
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assert isinstance(other, Index) and other.dtype == np.uint64
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tm.assert_index_equal(res, eres)
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assert ridx is None
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# monotonic
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res, lidx, ridx = index_large.join(
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other_mono, how="right", return_indexers=True
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)
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eres = other_mono
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elidx = np.array([-1, -1, -1, 1, -1, 4], dtype=np.intp)
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assert isinstance(other, Index) and other.dtype == np.uint64
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tm.assert_numpy_array_equal(lidx, elidx)
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tm.assert_index_equal(res, eres)
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assert ridx is None
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# non-unique
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idx = Index(2**63 + np.array([1, 1, 2, 5], dtype="uint64"))
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idx2 = Index(2**63 + np.array([1, 2, 5, 7, 9], dtype="uint64"))
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res, lidx, ridx = idx.join(idx2, how="right", return_indexers=True)
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# 1 is in idx2, so it should be x2
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eres = Index(2**63 + np.array([1, 1, 2, 5, 7, 9], dtype="uint64"))
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|
|
elidx = np.array([0, 1, 2, 3, -1, -1], dtype=np.intp)
|
||
|
|
eridx = np.array([0, 0, 1, 2, 3, 4], 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_non_int_index(self, index_large):
|
||
|
|
other = Index(
|
||
|
|
2**63 + np.array([1, 5, 7, 10, 20], dtype="uint64"), dtype=object
|
||
|
|
)
|
||
|
|
|
||
|
|
outer = index_large.join(other, how="outer")
|
||
|
|
outer2 = other.join(index_large, how="outer")
|
||
|
|
expected = Index(
|
||
|
|
2**63 + np.array([0, 1, 5, 7, 10, 15, 20, 25], dtype="uint64")
|
||
|
|
)
|
||
|
|
tm.assert_index_equal(outer, outer2)
|
||
|
|
tm.assert_index_equal(outer, expected)
|
||
|
|
|
||
|
|
inner = index_large.join(other, how="inner")
|
||
|
|
inner2 = other.join(index_large, how="inner")
|
||
|
|
expected = Index(2**63 + np.array([10, 20], dtype="uint64"))
|
||
|
|
tm.assert_index_equal(inner, inner2)
|
||
|
|
tm.assert_index_equal(inner, expected)
|
||
|
|
|
||
|
|
left = index_large.join(other, how="left")
|
||
|
|
tm.assert_index_equal(left, index_large.astype(object))
|
||
|
|
|
||
|
|
left2 = other.join(index_large, how="left")
|
||
|
|
tm.assert_index_equal(left2, other)
|
||
|
|
|
||
|
|
right = index_large.join(other, how="right")
|
||
|
|
tm.assert_index_equal(right, other)
|
||
|
|
|
||
|
|
right2 = other.join(index_large, how="right")
|
||
|
|
tm.assert_index_equal(right2, index_large.astype(object))
|
||
|
|
|
||
|
|
def test_join_outer(self, index_large):
|
||
|
|
other = Index(2**63 + np.array([7, 12, 25, 1, 2, 10], dtype="uint64"))
|
||
|
|
other_mono = Index(2**63 + np.array([1, 2, 7, 10, 12, 25], dtype="uint64"))
|
||
|
|
|
||
|
|
# not monotonic
|
||
|
|
# guarantee of sortedness
|
||
|
|
res, lidx, ridx = index_large.join(other, how="outer", return_indexers=True)
|
||
|
|
noidx_res = index_large.join(other, how="outer")
|
||
|
|
tm.assert_index_equal(res, noidx_res)
|
||
|
|
|
||
|
|
eres = Index(
|
||
|
|
2**63 + np.array([0, 1, 2, 7, 10, 12, 15, 20, 25], dtype="uint64")
|
||
|
|
)
|
||
|
|
elidx = np.array([0, -1, -1, -1, 1, -1, 2, 3, 4], dtype=np.intp)
|
||
|
|
eridx = np.array([-1, 3, 4, 0, 5, 1, -1, -1, 2], dtype=np.intp)
|
||
|
|
|
||
|
|
assert isinstance(res, Index) and res.dtype == np.uint64
|
||
|
|
tm.assert_index_equal(res, eres)
|
||
|
|
tm.assert_numpy_array_equal(lidx, elidx)
|
||
|
|
tm.assert_numpy_array_equal(ridx, eridx)
|
||
|
|
|
||
|
|
# monotonic
|
||
|
|
res, lidx, ridx = index_large.join(
|
||
|
|
other_mono, how="outer", return_indexers=True
|
||
|
|
)
|
||
|
|
noidx_res = index_large.join(other_mono, how="outer")
|
||
|
|
tm.assert_index_equal(res, noidx_res)
|
||
|
|
|
||
|
|
elidx = np.array([0, -1, -1, -1, 1, -1, 2, 3, 4], dtype=np.intp)
|
||
|
|
eridx = np.array([-1, 0, 1, 2, 3, 4, -1, -1, 5], dtype=np.intp)
|
||
|
|
|
||
|
|
assert isinstance(res, Index) and res.dtype == np.uint64
|
||
|
|
tm.assert_index_equal(res, eres)
|
||
|
|
tm.assert_numpy_array_equal(lidx, elidx)
|
||
|
|
tm.assert_numpy_array_equal(ridx, eridx)
|