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| import numpy as np
|
| from pandas.core.dtypes.common import is_int64_dtype
|
| from pandas import (
| Index,
| RangeIndex,
| )
| import pandas._testing as tm
|
|
| class TestJoin:
| def test_join_outer(self):
| # join with Index[int64]
| index = RangeIndex(start=0, stop=20, step=2)
| other = Index(np.arange(25, 14, -1, dtype=np.int64))
|
| res, lidx, ridx = index.join(other, how="outer", return_indexers=True)
| noidx_res = index.join(other, how="outer")
| tm.assert_index_equal(res, noidx_res)
|
| eres = Index(
| [0, 2, 4, 6, 8, 10, 12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25]
| )
| elidx = np.array(
| [0, 1, 2, 3, 4, 5, 6, 7, -1, 8, -1, 9, -1, -1, -1, -1, -1, -1, -1],
| dtype=np.intp,
| )
| eridx = np.array(
| [-1, -1, -1, -1, -1, -1, -1, -1, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0],
| dtype=np.intp,
| )
|
| assert isinstance(res, Index) and is_int64_dtype(res.dtype)
| assert not isinstance(res, RangeIndex)
| tm.assert_index_equal(res, eres, exact=True)
| tm.assert_numpy_array_equal(lidx, elidx)
| tm.assert_numpy_array_equal(ridx, eridx)
|
| # join with RangeIndex
| other = RangeIndex(25, 14, -1)
|
| res, lidx, ridx = index.join(other, how="outer", return_indexers=True)
| noidx_res = index.join(other, how="outer")
| tm.assert_index_equal(res, noidx_res)
|
| assert isinstance(res, Index) and res.dtype == np.int64
| assert not isinstance(res, RangeIndex)
| tm.assert_index_equal(res, eres)
| tm.assert_numpy_array_equal(lidx, elidx)
| tm.assert_numpy_array_equal(ridx, eridx)
|
| def test_join_inner(self):
| # Join with non-RangeIndex
| index = RangeIndex(start=0, stop=20, step=2)
| other = Index(np.arange(25, 14, -1, dtype=np.int64))
|
| res, lidx, ridx = index.join(other, how="inner", return_indexers=True)
|
| # no guarantee of sortedness, so sort for comparison purposes
| ind = res.argsort()
| res = res.take(ind)
| lidx = lidx.take(ind)
| ridx = ridx.take(ind)
|
| eres = Index([16, 18])
| elidx = np.array([8, 9], dtype=np.intp)
| eridx = np.array([9, 7], dtype=np.intp)
|
| assert isinstance(res, Index) and res.dtype == np.int64
| tm.assert_index_equal(res, eres)
| tm.assert_numpy_array_equal(lidx, elidx)
| tm.assert_numpy_array_equal(ridx, eridx)
|
| # Join two RangeIndex
| other = RangeIndex(25, 14, -1)
|
| res, lidx, ridx = index.join(other, how="inner", return_indexers=True)
|
| assert isinstance(res, RangeIndex)
| tm.assert_index_equal(res, eres, exact="equiv")
| tm.assert_numpy_array_equal(lidx, elidx)
| tm.assert_numpy_array_equal(ridx, eridx)
|
| def test_join_left(self):
| # Join with Index[int64]
| index = RangeIndex(start=0, stop=20, step=2)
| other = Index(np.arange(25, 14, -1, dtype=np.int64))
|
| res, lidx, ridx = index.join(other, how="left", return_indexers=True)
| eres = index
| eridx = np.array([-1, -1, -1, -1, -1, -1, -1, -1, 9, 7], dtype=np.intp)
|
| assert isinstance(res, RangeIndex)
| tm.assert_index_equal(res, eres)
| assert lidx is None
| tm.assert_numpy_array_equal(ridx, eridx)
|
| # Join withRangeIndex
| other = Index(np.arange(25, 14, -1, dtype=np.int64))
|
| res, lidx, ridx = index.join(other, how="left", return_indexers=True)
|
| assert isinstance(res, RangeIndex)
| tm.assert_index_equal(res, eres)
| assert lidx is None
| tm.assert_numpy_array_equal(ridx, eridx)
|
| def test_join_right(self):
| # Join with Index[int64]
| index = RangeIndex(start=0, stop=20, step=2)
| other = Index(np.arange(25, 14, -1, dtype=np.int64))
|
| res, lidx, ridx = index.join(other, how="right", return_indexers=True)
| eres = other
| elidx = np.array([-1, -1, -1, -1, -1, -1, -1, 9, -1, 8, -1], dtype=np.intp)
|
| assert isinstance(other, Index) and other.dtype == np.int64
| tm.assert_index_equal(res, eres)
| tm.assert_numpy_array_equal(lidx, elidx)
| assert ridx is None
|
| # Join withRangeIndex
| other = RangeIndex(25, 14, -1)
|
| res, lidx, ridx = index.join(other, how="right", return_indexers=True)
| eres = other
|
| assert isinstance(other, RangeIndex)
| tm.assert_index_equal(res, eres)
| tm.assert_numpy_array_equal(lidx, elidx)
| assert ridx is None
|
| 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
|
|
