projektAI/venv/Lib/site-packages/pandas/tests/reshape/test_union_categoricals.py

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2021-06-06 22:13:05 +02:00
import numpy as np
import pytest
from pandas.core.dtypes.concat import union_categoricals
import pandas as pd
from pandas import Categorical, CategoricalIndex, Series
import pandas._testing as tm
class TestUnionCategoricals:
def test_union_categorical(self):
# GH 13361
data = [
(list("abc"), list("abd"), list("abcabd")),
([0, 1, 2], [2, 3, 4], [0, 1, 2, 2, 3, 4]),
([0, 1.2, 2], [2, 3.4, 4], [0, 1.2, 2, 2, 3.4, 4]),
(
["b", "b", np.nan, "a"],
["a", np.nan, "c"],
["b", "b", np.nan, "a", "a", np.nan, "c"],
),
(
pd.date_range("2014-01-01", "2014-01-05"),
pd.date_range("2014-01-06", "2014-01-07"),
pd.date_range("2014-01-01", "2014-01-07"),
),
(
pd.date_range("2014-01-01", "2014-01-05", tz="US/Central"),
pd.date_range("2014-01-06", "2014-01-07", tz="US/Central"),
pd.date_range("2014-01-01", "2014-01-07", tz="US/Central"),
),
(
pd.period_range("2014-01-01", "2014-01-05"),
pd.period_range("2014-01-06", "2014-01-07"),
pd.period_range("2014-01-01", "2014-01-07"),
),
]
for a, b, combined in data:
for box in [Categorical, CategoricalIndex, Series]:
result = union_categoricals([box(Categorical(a)), box(Categorical(b))])
expected = Categorical(combined)
tm.assert_categorical_equal(result, expected)
# new categories ordered by appearance
s = Categorical(["x", "y", "z"])
s2 = Categorical(["a", "b", "c"])
result = union_categoricals([s, s2])
expected = Categorical(
["x", "y", "z", "a", "b", "c"], categories=["x", "y", "z", "a", "b", "c"]
)
tm.assert_categorical_equal(result, expected)
s = Categorical([0, 1.2, 2], ordered=True)
s2 = Categorical([0, 1.2, 2], ordered=True)
result = union_categoricals([s, s2])
expected = Categorical([0, 1.2, 2, 0, 1.2, 2], ordered=True)
tm.assert_categorical_equal(result, expected)
# must exactly match types
s = Categorical([0, 1.2, 2])
s2 = Categorical([2, 3, 4])
msg = "dtype of categories must be the same"
with pytest.raises(TypeError, match=msg):
union_categoricals([s, s2])
msg = "No Categoricals to union"
with pytest.raises(ValueError, match=msg):
union_categoricals([])
def test_union_categoricals_nan(self):
# GH 13759
res = union_categoricals(
[Categorical([1, 2, np.nan]), Categorical([3, 2, np.nan])]
)
exp = Categorical([1, 2, np.nan, 3, 2, np.nan])
tm.assert_categorical_equal(res, exp)
res = union_categoricals(
[Categorical(["A", "B"]), Categorical(["B", "B", np.nan])]
)
exp = Categorical(["A", "B", "B", "B", np.nan])
tm.assert_categorical_equal(res, exp)
val1 = [pd.Timestamp("2011-01-01"), pd.Timestamp("2011-03-01"), pd.NaT]
val2 = [pd.NaT, pd.Timestamp("2011-01-01"), pd.Timestamp("2011-02-01")]
res = union_categoricals([Categorical(val1), Categorical(val2)])
exp = Categorical(
val1 + val2,
categories=[
pd.Timestamp("2011-01-01"),
pd.Timestamp("2011-03-01"),
pd.Timestamp("2011-02-01"),
],
)
tm.assert_categorical_equal(res, exp)
# all NaN
res = union_categoricals(
[
Categorical(np.array([np.nan, np.nan], dtype=object)),
Categorical(["X"]),
]
)
exp = Categorical([np.nan, np.nan, "X"])
tm.assert_categorical_equal(res, exp)
res = union_categoricals(
[Categorical([np.nan, np.nan]), Categorical([np.nan, np.nan])]
)
exp = Categorical([np.nan, np.nan, np.nan, np.nan])
tm.assert_categorical_equal(res, exp)
def test_union_categoricals_empty(self):
# GH 13759
res = union_categoricals([Categorical([]), Categorical([])])
exp = Categorical([])
tm.assert_categorical_equal(res, exp)
res = union_categoricals([Categorical([]), Categorical(["1"])])
exp = Categorical(["1"])
tm.assert_categorical_equal(res, exp)
def test_union_categorical_same_category(self):
# check fastpath
c1 = Categorical([1, 2, 3, 4], categories=[1, 2, 3, 4])
c2 = Categorical([3, 2, 1, np.nan], categories=[1, 2, 3, 4])
res = union_categoricals([c1, c2])
exp = Categorical([1, 2, 3, 4, 3, 2, 1, np.nan], categories=[1, 2, 3, 4])
tm.assert_categorical_equal(res, exp)
c1 = Categorical(["z", "z", "z"], categories=["x", "y", "z"])
c2 = Categorical(["x", "x", "x"], categories=["x", "y", "z"])
res = union_categoricals([c1, c2])
exp = Categorical(["z", "z", "z", "x", "x", "x"], categories=["x", "y", "z"])
tm.assert_categorical_equal(res, exp)
def test_union_categorical_same_categories_different_order(self):
# https://github.com/pandas-dev/pandas/issues/19096
c1 = Categorical(["a", "b", "c"], categories=["a", "b", "c"])
c2 = Categorical(["a", "b", "c"], categories=["b", "a", "c"])
result = union_categoricals([c1, c2])
expected = Categorical(
["a", "b", "c", "a", "b", "c"], categories=["a", "b", "c"]
)
tm.assert_categorical_equal(result, expected)
def test_union_categoricals_ordered(self):
c1 = Categorical([1, 2, 3], ordered=True)
c2 = Categorical([1, 2, 3], ordered=False)
msg = "Categorical.ordered must be the same"
with pytest.raises(TypeError, match=msg):
union_categoricals([c1, c2])
res = union_categoricals([c1, c1])
exp = Categorical([1, 2, 3, 1, 2, 3], ordered=True)
tm.assert_categorical_equal(res, exp)
c1 = Categorical([1, 2, 3, np.nan], ordered=True)
c2 = Categorical([3, 2], categories=[1, 2, 3], ordered=True)
res = union_categoricals([c1, c2])
exp = Categorical([1, 2, 3, np.nan, 3, 2], ordered=True)
tm.assert_categorical_equal(res, exp)
c1 = Categorical([1, 2, 3], ordered=True)
c2 = Categorical([1, 2, 3], categories=[3, 2, 1], ordered=True)
msg = "to union ordered Categoricals, all categories must be the same"
with pytest.raises(TypeError, match=msg):
union_categoricals([c1, c2])
def test_union_categoricals_ignore_order(self):
# GH 15219
c1 = Categorical([1, 2, 3], ordered=True)
c2 = Categorical([1, 2, 3], ordered=False)
res = union_categoricals([c1, c2], ignore_order=True)
exp = Categorical([1, 2, 3, 1, 2, 3])
tm.assert_categorical_equal(res, exp)
msg = "Categorical.ordered must be the same"
with pytest.raises(TypeError, match=msg):
union_categoricals([c1, c2], ignore_order=False)
res = union_categoricals([c1, c1], ignore_order=True)
exp = Categorical([1, 2, 3, 1, 2, 3])
tm.assert_categorical_equal(res, exp)
res = union_categoricals([c1, c1], ignore_order=False)
exp = Categorical([1, 2, 3, 1, 2, 3], categories=[1, 2, 3], ordered=True)
tm.assert_categorical_equal(res, exp)
c1 = Categorical([1, 2, 3, np.nan], ordered=True)
c2 = Categorical([3, 2], categories=[1, 2, 3], ordered=True)
res = union_categoricals([c1, c2], ignore_order=True)
exp = Categorical([1, 2, 3, np.nan, 3, 2])
tm.assert_categorical_equal(res, exp)
c1 = Categorical([1, 2, 3], ordered=True)
c2 = Categorical([1, 2, 3], categories=[3, 2, 1], ordered=True)
res = union_categoricals([c1, c2], ignore_order=True)
exp = Categorical([1, 2, 3, 1, 2, 3])
tm.assert_categorical_equal(res, exp)
res = union_categoricals([c2, c1], ignore_order=True, sort_categories=True)
exp = Categorical([1, 2, 3, 1, 2, 3], categories=[1, 2, 3])
tm.assert_categorical_equal(res, exp)
c1 = Categorical([1, 2, 3], ordered=True)
c2 = Categorical([4, 5, 6], ordered=True)
result = union_categoricals([c1, c2], ignore_order=True)
expected = Categorical([1, 2, 3, 4, 5, 6])
tm.assert_categorical_equal(result, expected)
msg = "to union ordered Categoricals, all categories must be the same"
with pytest.raises(TypeError, match=msg):
union_categoricals([c1, c2], ignore_order=False)
with pytest.raises(TypeError, match=msg):
union_categoricals([c1, c2])
def test_union_categoricals_sort(self):
# GH 13846
c1 = Categorical(["x", "y", "z"])
c2 = Categorical(["a", "b", "c"])
result = union_categoricals([c1, c2], sort_categories=True)
expected = Categorical(
["x", "y", "z", "a", "b", "c"], categories=["a", "b", "c", "x", "y", "z"]
)
tm.assert_categorical_equal(result, expected)
# fastpath
c1 = Categorical(["a", "b"], categories=["b", "a", "c"])
c2 = Categorical(["b", "c"], categories=["b", "a", "c"])
result = union_categoricals([c1, c2], sort_categories=True)
expected = Categorical(["a", "b", "b", "c"], categories=["a", "b", "c"])
tm.assert_categorical_equal(result, expected)
c1 = Categorical(["a", "b"], categories=["c", "a", "b"])
c2 = Categorical(["b", "c"], categories=["c", "a", "b"])
result = union_categoricals([c1, c2], sort_categories=True)
expected = Categorical(["a", "b", "b", "c"], categories=["a", "b", "c"])
tm.assert_categorical_equal(result, expected)
# fastpath - skip resort
c1 = Categorical(["a", "b"], categories=["a", "b", "c"])
c2 = Categorical(["b", "c"], categories=["a", "b", "c"])
result = union_categoricals([c1, c2], sort_categories=True)
expected = Categorical(["a", "b", "b", "c"], categories=["a", "b", "c"])
tm.assert_categorical_equal(result, expected)
c1 = Categorical(["x", np.nan])
c2 = Categorical([np.nan, "b"])
result = union_categoricals([c1, c2], sort_categories=True)
expected = Categorical(["x", np.nan, np.nan, "b"], categories=["b", "x"])
tm.assert_categorical_equal(result, expected)
c1 = Categorical([np.nan])
c2 = Categorical([np.nan])
result = union_categoricals([c1, c2], sort_categories=True)
expected = Categorical([np.nan, np.nan])
tm.assert_categorical_equal(result, expected)
c1 = Categorical([])
c2 = Categorical([])
result = union_categoricals([c1, c2], sort_categories=True)
expected = Categorical([])
tm.assert_categorical_equal(result, expected)
c1 = Categorical(["b", "a"], categories=["b", "a", "c"], ordered=True)
c2 = Categorical(["a", "c"], categories=["b", "a", "c"], ordered=True)
with pytest.raises(TypeError):
union_categoricals([c1, c2], sort_categories=True)
def test_union_categoricals_sort_false(self):
# GH 13846
c1 = Categorical(["x", "y", "z"])
c2 = Categorical(["a", "b", "c"])
result = union_categoricals([c1, c2], sort_categories=False)
expected = Categorical(
["x", "y", "z", "a", "b", "c"], categories=["x", "y", "z", "a", "b", "c"]
)
tm.assert_categorical_equal(result, expected)
# fastpath
c1 = Categorical(["a", "b"], categories=["b", "a", "c"])
c2 = Categorical(["b", "c"], categories=["b", "a", "c"])
result = union_categoricals([c1, c2], sort_categories=False)
expected = Categorical(["a", "b", "b", "c"], categories=["b", "a", "c"])
tm.assert_categorical_equal(result, expected)
# fastpath - skip resort
c1 = Categorical(["a", "b"], categories=["a", "b", "c"])
c2 = Categorical(["b", "c"], categories=["a", "b", "c"])
result = union_categoricals([c1, c2], sort_categories=False)
expected = Categorical(["a", "b", "b", "c"], categories=["a", "b", "c"])
tm.assert_categorical_equal(result, expected)
c1 = Categorical(["x", np.nan])
c2 = Categorical([np.nan, "b"])
result = union_categoricals([c1, c2], sort_categories=False)
expected = Categorical(["x", np.nan, np.nan, "b"], categories=["x", "b"])
tm.assert_categorical_equal(result, expected)
c1 = Categorical([np.nan])
c2 = Categorical([np.nan])
result = union_categoricals([c1, c2], sort_categories=False)
expected = Categorical([np.nan, np.nan])
tm.assert_categorical_equal(result, expected)
c1 = Categorical([])
c2 = Categorical([])
result = union_categoricals([c1, c2], sort_categories=False)
expected = Categorical([])
tm.assert_categorical_equal(result, expected)
c1 = Categorical(["b", "a"], categories=["b", "a", "c"], ordered=True)
c2 = Categorical(["a", "c"], categories=["b", "a", "c"], ordered=True)
result = union_categoricals([c1, c2], sort_categories=False)
expected = Categorical(
["b", "a", "a", "c"], categories=["b", "a", "c"], ordered=True
)
tm.assert_categorical_equal(result, expected)
def test_union_categorical_unwrap(self):
# GH 14173
c1 = Categorical(["a", "b"])
c2 = Series(["b", "c"], dtype="category")
result = union_categoricals([c1, c2])
expected = Categorical(["a", "b", "b", "c"])
tm.assert_categorical_equal(result, expected)
c2 = CategoricalIndex(c2)
result = union_categoricals([c1, c2])
tm.assert_categorical_equal(result, expected)
c1 = Series(c1)
result = union_categoricals([c1, c2])
tm.assert_categorical_equal(result, expected)
with pytest.raises(TypeError):
union_categoricals([c1, ["a", "b", "c"]])