Inzynierka/Lib/site-packages/pandas/tests/util/test_assert_index_equal.py

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2023-06-02 12:51:02 +02:00
import numpy as np
import pytest
from pandas import (
NA,
Categorical,
CategoricalIndex,
Index,
MultiIndex,
NaT,
RangeIndex,
)
import pandas._testing as tm
def test_index_equal_levels_mismatch():
msg = """Index are different
Index levels are different
\\[left\\]: 1, Index\\(\\[1, 2, 3\\], dtype='int64'\\)
\\[right\\]: 2, MultiIndex\\(\\[\\('A', 1\\),
\\('A', 2\\),
\\('B', 3\\),
\\('B', 4\\)\\],
\\)"""
idx1 = Index([1, 2, 3])
idx2 = MultiIndex.from_tuples([("A", 1), ("A", 2), ("B", 3), ("B", 4)])
with pytest.raises(AssertionError, match=msg):
tm.assert_index_equal(idx1, idx2, exact=False)
def test_index_equal_values_mismatch(check_exact):
msg = """MultiIndex level \\[1\\] are different
MultiIndex level \\[1\\] values are different \\(25\\.0 %\\)
\\[left\\]: Index\\(\\[2, 2, 3, 4\\], dtype='int64'\\)
\\[right\\]: Index\\(\\[1, 2, 3, 4\\], dtype='int64'\\)"""
idx1 = MultiIndex.from_tuples([("A", 2), ("A", 2), ("B", 3), ("B", 4)])
idx2 = MultiIndex.from_tuples([("A", 1), ("A", 2), ("B", 3), ("B", 4)])
with pytest.raises(AssertionError, match=msg):
tm.assert_index_equal(idx1, idx2, check_exact=check_exact)
def test_index_equal_length_mismatch(check_exact):
msg = """Index are different
Index length are different
\\[left\\]: 3, Index\\(\\[1, 2, 3\\], dtype='int64'\\)
\\[right\\]: 4, Index\\(\\[1, 2, 3, 4\\], dtype='int64'\\)"""
idx1 = Index([1, 2, 3])
idx2 = Index([1, 2, 3, 4])
with pytest.raises(AssertionError, match=msg):
tm.assert_index_equal(idx1, idx2, check_exact=check_exact)
@pytest.mark.parametrize("exact", [False, "equiv"])
def test_index_equal_class(exact):
idx1 = Index([0, 1, 2])
idx2 = RangeIndex(3)
tm.assert_index_equal(idx1, idx2, exact=exact)
def test_int_float_index_equal_class_mismatch(check_exact):
msg = """Index are different
Attribute "inferred_type" are different
\\[left\\]: integer
\\[right\\]: floating"""
idx1 = Index([1, 2, 3])
idx2 = Index([1, 2, 3], dtype=np.float64)
with pytest.raises(AssertionError, match=msg):
tm.assert_index_equal(idx1, idx2, exact=True, check_exact=check_exact)
def test_range_index_equal_class_mismatch(check_exact):
msg = """Index are different
Index classes are different
\\[left\\]: Index\\(\\[1, 2, 3\\], dtype='int64'\\)
\\[right\\]: """
idx1 = Index([1, 2, 3])
idx2 = RangeIndex(range(3))
with pytest.raises(AssertionError, match=msg):
tm.assert_index_equal(idx1, idx2, exact=True, check_exact=check_exact)
def test_index_equal_values_close(check_exact):
idx1 = Index([1, 2, 3.0])
idx2 = Index([1, 2, 3.0000000001])
if check_exact:
msg = """Index are different
Index values are different \\(33\\.33333 %\\)
\\[left\\]: Index\\(\\[1.0, 2.0, 3.0], dtype='float64'\\)
\\[right\\]: Index\\(\\[1.0, 2.0, 3.0000000001\\], dtype='float64'\\)"""
with pytest.raises(AssertionError, match=msg):
tm.assert_index_equal(idx1, idx2, check_exact=check_exact)
else:
tm.assert_index_equal(idx1, idx2, check_exact=check_exact)
def test_index_equal_values_less_close(check_exact, rtol):
idx1 = Index([1, 2, 3.0])
idx2 = Index([1, 2, 3.0001])
kwargs = {"check_exact": check_exact, "rtol": rtol}
if check_exact or rtol < 0.5e-3:
msg = """Index are different
Index values are different \\(33\\.33333 %\\)
\\[left\\]: Index\\(\\[1.0, 2.0, 3.0], dtype='float64'\\)
\\[right\\]: Index\\(\\[1.0, 2.0, 3.0001\\], dtype='float64'\\)"""
with pytest.raises(AssertionError, match=msg):
tm.assert_index_equal(idx1, idx2, **kwargs)
else:
tm.assert_index_equal(idx1, idx2, **kwargs)
def test_index_equal_values_too_far(check_exact, rtol):
idx1 = Index([1, 2, 3])
idx2 = Index([1, 2, 4])
kwargs = {"check_exact": check_exact, "rtol": rtol}
msg = """Index are different
Index values are different \\(33\\.33333 %\\)
\\[left\\]: Index\\(\\[1, 2, 3\\], dtype='int64'\\)
\\[right\\]: Index\\(\\[1, 2, 4\\], dtype='int64'\\)"""
with pytest.raises(AssertionError, match=msg):
tm.assert_index_equal(idx1, idx2, **kwargs)
@pytest.mark.parametrize("check_order", [True, False])
def test_index_equal_value_oder_mismatch(check_exact, rtol, check_order):
idx1 = Index([1, 2, 3])
idx2 = Index([3, 2, 1])
msg = """Index are different
Index values are different \\(66\\.66667 %\\)
\\[left\\]: Index\\(\\[1, 2, 3\\], dtype='int64'\\)
\\[right\\]: Index\\(\\[3, 2, 1\\], dtype='int64'\\)"""
if check_order:
with pytest.raises(AssertionError, match=msg):
tm.assert_index_equal(
idx1, idx2, check_exact=check_exact, rtol=rtol, check_order=True
)
else:
tm.assert_index_equal(
idx1, idx2, check_exact=check_exact, rtol=rtol, check_order=False
)
def test_index_equal_level_values_mismatch(check_exact, rtol):
idx1 = MultiIndex.from_tuples([("A", 2), ("A", 2), ("B", 3), ("B", 4)])
idx2 = MultiIndex.from_tuples([("A", 1), ("A", 2), ("B", 3), ("B", 4)])
kwargs = {"check_exact": check_exact, "rtol": rtol}
msg = """MultiIndex level \\[1\\] are different
MultiIndex level \\[1\\] values are different \\(25\\.0 %\\)
\\[left\\]: Index\\(\\[2, 2, 3, 4\\], dtype='int64'\\)
\\[right\\]: Index\\(\\[1, 2, 3, 4\\], dtype='int64'\\)"""
with pytest.raises(AssertionError, match=msg):
tm.assert_index_equal(idx1, idx2, **kwargs)
@pytest.mark.parametrize(
"name1,name2",
[(None, "x"), ("x", "x"), (np.nan, np.nan), (NaT, NaT), (np.nan, NaT)],
)
def test_index_equal_names(name1, name2):
idx1 = Index([1, 2, 3], name=name1)
idx2 = Index([1, 2, 3], name=name2)
if name1 == name2 or name1 is name2:
tm.assert_index_equal(idx1, idx2)
else:
name1 = "'x'" if name1 == "x" else name1
name2 = "'x'" if name2 == "x" else name2
msg = f"""Index are different
Attribute "names" are different
\\[left\\]: \\[{name1}\\]
\\[right\\]: \\[{name2}\\]"""
with pytest.raises(AssertionError, match=msg):
tm.assert_index_equal(idx1, idx2)
def test_index_equal_category_mismatch(check_categorical):
msg = """Index are different
Attribute "dtype" are different
\\[left\\]: CategoricalDtype\\(categories=\\['a', 'b'\\], ordered=False\\)
\\[right\\]: CategoricalDtype\\(categories=\\['a', 'b', 'c'\\], \
ordered=False\\)"""
idx1 = Index(Categorical(["a", "b"]))
idx2 = Index(Categorical(["a", "b"], categories=["a", "b", "c"]))
if check_categorical:
with pytest.raises(AssertionError, match=msg):
tm.assert_index_equal(idx1, idx2, check_categorical=check_categorical)
else:
tm.assert_index_equal(idx1, idx2, check_categorical=check_categorical)
@pytest.mark.parametrize("exact", [False, True])
def test_index_equal_range_categories(check_categorical, exact):
# GH41263
msg = """\
Index are different
Index classes are different
\\[left\\]: RangeIndex\\(start=0, stop=10, step=1\\)
\\[right\\]: Index\\(\\[0, 1, 2, 3, 4, 5, 6, 7, 8, 9\\], dtype='int64'\\)"""
rcat = CategoricalIndex(RangeIndex(10))
icat = CategoricalIndex(list(range(10)))
if check_categorical and exact:
with pytest.raises(AssertionError, match=msg):
tm.assert_index_equal(rcat, icat, check_categorical=True, exact=True)
else:
tm.assert_index_equal(
rcat, icat, check_categorical=check_categorical, exact=exact
)
def test_assert_index_equal_different_inferred_types():
# GH#31884
msg = """\
Index are different
Attribute "inferred_type" are different
\\[left\\]: mixed
\\[right\\]: datetime"""
idx1 = Index([NA, np.datetime64("nat")])
idx2 = Index([NA, NaT])
with pytest.raises(AssertionError, match=msg):
tm.assert_index_equal(idx1, idx2)
def test_assert_index_equal_different_names_check_order_false():
# GH#47328
idx1 = Index([1, 3], name="a")
idx2 = Index([3, 1], name="b")
with pytest.raises(AssertionError, match='"names" are different'):
tm.assert_index_equal(idx1, idx2, check_order=False, check_names=True)
def test_assert_index_equal_mixed_dtype():
# GH#39168
idx = Index(["foo", "bar", 42])
tm.assert_index_equal(idx, idx, check_order=False)
def test_assert_index_equal_ea_dtype_order_false(any_numeric_ea_dtype):
# GH#47207
idx1 = Index([1, 3], dtype=any_numeric_ea_dtype)
idx2 = Index([3, 1], dtype=any_numeric_ea_dtype)
tm.assert_index_equal(idx1, idx2, check_order=False)
def test_assert_index_equal_object_ints_order_false():
# GH#47207
idx1 = Index([1, 3], dtype="object")
idx2 = Index([3, 1], dtype="object")
tm.assert_index_equal(idx1, idx2, check_order=False)
@pytest.mark.parametrize("check_categorical", [True, False])
@pytest.mark.parametrize("check_names", [True, False])
def test_assert_ea_index_equal_non_matching_na(check_names, check_categorical):
# GH#48608
idx1 = Index([1, 2], dtype="Int64")
idx2 = Index([1, NA], dtype="Int64")
with pytest.raises(AssertionError, match="50.0 %"):
tm.assert_index_equal(
idx1, idx2, check_names=check_names, check_categorical=check_categorical
)