import numpy as np import pytest from pandas._libs import join as libjoin from pandas._libs.join import ( inner_join, left_outer_join, ) import pandas._testing as tm class TestIndexer: @pytest.mark.parametrize( "dtype", ["int32", "int64", "float32", "float64", "object"] ) def test_outer_join_indexer(self, dtype): indexer = libjoin.outer_join_indexer left = np.arange(3, dtype=dtype) right = np.arange(2, 5, dtype=dtype) empty = np.array([], dtype=dtype) result, lindexer, rindexer = indexer(left, right) assert isinstance(result, np.ndarray) assert isinstance(lindexer, np.ndarray) assert isinstance(rindexer, np.ndarray) tm.assert_numpy_array_equal(result, np.arange(5, dtype=dtype)) exp = np.array([0, 1, 2, -1, -1], dtype=np.intp) tm.assert_numpy_array_equal(lindexer, exp) exp = np.array([-1, -1, 0, 1, 2], dtype=np.intp) tm.assert_numpy_array_equal(rindexer, exp) result, lindexer, rindexer = indexer(empty, right) tm.assert_numpy_array_equal(result, right) exp = np.array([-1, -1, -1], dtype=np.intp) tm.assert_numpy_array_equal(lindexer, exp) exp = np.array([0, 1, 2], dtype=np.intp) tm.assert_numpy_array_equal(rindexer, exp) result, lindexer, rindexer = indexer(left, empty) tm.assert_numpy_array_equal(result, left) exp = np.array([0, 1, 2], dtype=np.intp) tm.assert_numpy_array_equal(lindexer, exp) exp = np.array([-1, -1, -1], dtype=np.intp) tm.assert_numpy_array_equal(rindexer, exp) def test_cython_left_outer_join(self): left = np.array([0, 1, 2, 1, 2, 0, 0, 1, 2, 3, 3], dtype=np.intp) right = np.array([1, 1, 0, 4, 2, 2, 1], dtype=np.intp) max_group = 5 ls, rs = left_outer_join(left, right, max_group) exp_ls = left.argsort(kind="mergesort") exp_rs = right.argsort(kind="mergesort") exp_li = np.array([0, 1, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 7, 7, 8, 8, 9, 10]) exp_ri = np.array( [0, 0, 0, 1, 2, 3, 1, 2, 3, 1, 2, 3, 4, 5, 4, 5, 4, 5, -1, -1] ) exp_ls = exp_ls.take(exp_li) exp_ls[exp_li == -1] = -1 exp_rs = exp_rs.take(exp_ri) exp_rs[exp_ri == -1] = -1 tm.assert_numpy_array_equal(ls, exp_ls, check_dtype=False) tm.assert_numpy_array_equal(rs, exp_rs, check_dtype=False) def test_cython_right_outer_join(self): left = np.array([0, 1, 2, 1, 2, 0, 0, 1, 2, 3, 3], dtype=np.intp) right = np.array([1, 1, 0, 4, 2, 2, 1], dtype=np.intp) max_group = 5 rs, ls = left_outer_join(right, left, max_group) exp_ls = left.argsort(kind="mergesort") exp_rs = right.argsort(kind="mergesort") # 0 1 1 1 exp_li = np.array( [ 0, 1, 2, 3, 4, 5, 3, 4, 5, 3, 4, 5, # 2 2 4 6, 7, 8, 6, 7, 8, -1, ] ) exp_ri = np.array([0, 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6]) exp_ls = exp_ls.take(exp_li) exp_ls[exp_li == -1] = -1 exp_rs = exp_rs.take(exp_ri) exp_rs[exp_ri == -1] = -1 tm.assert_numpy_array_equal(ls, exp_ls) tm.assert_numpy_array_equal(rs, exp_rs) def test_cython_inner_join(self): left = np.array([0, 1, 2, 1, 2, 0, 0, 1, 2, 3, 3], dtype=np.intp) right = np.array([1, 1, 0, 4, 2, 2, 1, 4], dtype=np.intp) max_group = 5 ls, rs = inner_join(left, right, max_group) exp_ls = left.argsort(kind="mergesort") exp_rs = right.argsort(kind="mergesort") exp_li = np.array([0, 1, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 7, 7, 8, 8]) exp_ri = np.array([0, 0, 0, 1, 2, 3, 1, 2, 3, 1, 2, 3, 4, 5, 4, 5, 4, 5]) exp_ls = exp_ls.take(exp_li) exp_ls[exp_li == -1] = -1 exp_rs = exp_rs.take(exp_ri) exp_rs[exp_ri == -1] = -1 tm.assert_numpy_array_equal(ls, exp_ls) tm.assert_numpy_array_equal(rs, exp_rs) @pytest.mark.parametrize("readonly", [True, False]) def test_left_join_indexer_unique(readonly): a = np.array([1, 2, 3, 4, 5], dtype=np.int64) b = np.array([2, 2, 3, 4, 4], dtype=np.int64) if readonly: # GH#37312, GH#37264 a.setflags(write=False) b.setflags(write=False) result = libjoin.left_join_indexer_unique(b, a) expected = np.array([1, 1, 2, 3, 3], dtype=np.intp) tm.assert_numpy_array_equal(result, expected) def test_left_outer_join_bug(): left = np.array( [ 0, 1, 0, 1, 1, 2, 3, 1, 0, 2, 1, 2, 0, 1, 1, 2, 3, 2, 3, 2, 1, 1, 3, 0, 3, 2, 3, 0, 0, 2, 3, 2, 0, 3, 1, 3, 0, 1, 3, 0, 0, 1, 0, 3, 1, 0, 1, 0, 1, 1, 0, 2, 2, 2, 2, 2, 0, 3, 1, 2, 0, 0, 3, 1, 3, 2, 2, 0, 1, 3, 0, 2, 3, 2, 3, 3, 2, 3, 3, 1, 3, 2, 0, 0, 3, 1, 1, 1, 0, 2, 3, 3, 1, 2, 0, 3, 1, 2, 0, 2, ], dtype=np.intp, ) right = np.array([3, 1], dtype=np.intp) max_groups = 4 lidx, ridx = libjoin.left_outer_join(left, right, max_groups, sort=False) exp_lidx = np.arange(len(left), dtype=np.intp) exp_ridx = -np.ones(len(left), dtype=np.intp) exp_ridx[left == 1] = 1 exp_ridx[left == 3] = 0 tm.assert_numpy_array_equal(lidx, exp_lidx) tm.assert_numpy_array_equal(ridx, exp_ridx) def test_inner_join_indexer(): a = np.array([1, 2, 3, 4, 5], dtype=np.int64) b = np.array([0, 3, 5, 7, 9], dtype=np.int64) index, ares, bres = libjoin.inner_join_indexer(a, b) index_exp = np.array([3, 5], dtype=np.int64) tm.assert_almost_equal(index, index_exp) aexp = np.array([2, 4], dtype=np.intp) bexp = np.array([1, 2], dtype=np.intp) tm.assert_almost_equal(ares, aexp) tm.assert_almost_equal(bres, bexp) a = np.array([5], dtype=np.int64) b = np.array([5], dtype=np.int64) index, ares, bres = libjoin.inner_join_indexer(a, b) tm.assert_numpy_array_equal(index, np.array([5], dtype=np.int64)) tm.assert_numpy_array_equal(ares, np.array([0], dtype=np.intp)) tm.assert_numpy_array_equal(bres, np.array([0], dtype=np.intp)) def test_outer_join_indexer(): a = np.array([1, 2, 3, 4, 5], dtype=np.int64) b = np.array([0, 3, 5, 7, 9], dtype=np.int64) index, ares, bres = libjoin.outer_join_indexer(a, b) index_exp = np.array([0, 1, 2, 3, 4, 5, 7, 9], dtype=np.int64) tm.assert_almost_equal(index, index_exp) aexp = np.array([-1, 0, 1, 2, 3, 4, -1, -1], dtype=np.intp) bexp = np.array([0, -1, -1, 1, -1, 2, 3, 4], dtype=np.intp) tm.assert_almost_equal(ares, aexp) tm.assert_almost_equal(bres, bexp) a = np.array([5], dtype=np.int64) b = np.array([5], dtype=np.int64) index, ares, bres = libjoin.outer_join_indexer(a, b) tm.assert_numpy_array_equal(index, np.array([5], dtype=np.int64)) tm.assert_numpy_array_equal(ares, np.array([0], dtype=np.intp)) tm.assert_numpy_array_equal(bres, np.array([0], dtype=np.intp)) def test_left_join_indexer(): a = np.array([1, 2, 3, 4, 5], dtype=np.int64) b = np.array([0, 3, 5, 7, 9], dtype=np.int64) index, ares, bres = libjoin.left_join_indexer(a, b) tm.assert_almost_equal(index, a) aexp = np.array([0, 1, 2, 3, 4], dtype=np.intp) bexp = np.array([-1, -1, 1, -1, 2], dtype=np.intp) tm.assert_almost_equal(ares, aexp) tm.assert_almost_equal(bres, bexp) a = np.array([5], dtype=np.int64) b = np.array([5], dtype=np.int64) index, ares, bres = libjoin.left_join_indexer(a, b) tm.assert_numpy_array_equal(index, np.array([5], dtype=np.int64)) tm.assert_numpy_array_equal(ares, np.array([0], dtype=np.intp)) tm.assert_numpy_array_equal(bres, np.array([0], dtype=np.intp)) def test_left_join_indexer2(): idx = np.array([1, 1, 2, 5], dtype=np.int64) idx2 = np.array([1, 2, 5, 7, 9], dtype=np.int64) res, lidx, ridx = libjoin.left_join_indexer(idx2, idx) exp_res = np.array([1, 1, 2, 5, 7, 9], dtype=np.int64) tm.assert_almost_equal(res, exp_res) exp_lidx = np.array([0, 0, 1, 2, 3, 4], dtype=np.intp) tm.assert_almost_equal(lidx, exp_lidx) exp_ridx = np.array([0, 1, 2, 3, -1, -1], dtype=np.intp) tm.assert_almost_equal(ridx, exp_ridx) def test_outer_join_indexer2(): idx = np.array([1, 1, 2, 5], dtype=np.int64) idx2 = np.array([1, 2, 5, 7, 9], dtype=np.int64) res, lidx, ridx = libjoin.outer_join_indexer(idx2, idx) exp_res = np.array([1, 1, 2, 5, 7, 9], dtype=np.int64) tm.assert_almost_equal(res, exp_res) exp_lidx = np.array([0, 0, 1, 2, 3, 4], dtype=np.intp) tm.assert_almost_equal(lidx, exp_lidx) exp_ridx = np.array([0, 1, 2, 3, -1, -1], dtype=np.intp) tm.assert_almost_equal(ridx, exp_ridx) def test_inner_join_indexer2(): idx = np.array([1, 1, 2, 5], dtype=np.int64) idx2 = np.array([1, 2, 5, 7, 9], dtype=np.int64) res, lidx, ridx = libjoin.inner_join_indexer(idx2, idx) exp_res = np.array([1, 1, 2, 5], dtype=np.int64) tm.assert_almost_equal(res, exp_res) exp_lidx = np.array([0, 0, 1, 2], dtype=np.intp) tm.assert_almost_equal(lidx, exp_lidx) exp_ridx = np.array([0, 1, 2, 3], dtype=np.intp) tm.assert_almost_equal(ridx, exp_ridx)