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test_join.py
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import numpy as np
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 res.dtype == np.dtype(np.int64)
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