113 lines
4 KiB
Python
113 lines
4 KiB
Python
import pytest
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import numpy as np
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import pandas as pd
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import pandas.util.testing as tm
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@pytest.mark.parametrize('ordered', [True, False])
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@pytest.mark.parametrize('categories', [
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['b', 'a', 'c'],
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['a', 'b', 'c', 'd'],
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])
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def test_factorize(categories, ordered):
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cat = pd.Categorical(['b', 'b', 'a', 'c', None],
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categories=categories,
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ordered=ordered)
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labels, uniques = pd.factorize(cat)
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expected_labels = np.array([0, 0, 1, 2, -1], dtype=np.intp)
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expected_uniques = pd.Categorical(['b', 'a', 'c'],
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categories=categories,
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ordered=ordered)
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tm.assert_numpy_array_equal(labels, expected_labels)
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tm.assert_categorical_equal(uniques, expected_uniques)
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def test_factorized_sort():
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cat = pd.Categorical(['b', 'b', None, 'a'])
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labels, uniques = pd.factorize(cat, sort=True)
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expected_labels = np.array([1, 1, -1, 0], dtype=np.intp)
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expected_uniques = pd.Categorical(['a', 'b'])
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tm.assert_numpy_array_equal(labels, expected_labels)
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tm.assert_categorical_equal(uniques, expected_uniques)
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def test_factorized_sort_ordered():
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cat = pd.Categorical(['b', 'b', None, 'a'],
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categories=['c', 'b', 'a'],
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ordered=True)
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labels, uniques = pd.factorize(cat, sort=True)
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expected_labels = np.array([0, 0, -1, 1], dtype=np.intp)
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expected_uniques = pd.Categorical(['b', 'a'],
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categories=['c', 'b', 'a'],
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ordered=True)
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tm.assert_numpy_array_equal(labels, expected_labels)
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tm.assert_categorical_equal(uniques, expected_uniques)
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def test_isin_cats():
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# GH2003
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cat = pd.Categorical(["a", "b", np.nan])
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result = cat.isin(["a", np.nan])
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expected = np.array([True, False, True], dtype=bool)
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tm.assert_numpy_array_equal(expected, result)
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result = cat.isin(["a", "c"])
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expected = np.array([True, False, False], dtype=bool)
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tm.assert_numpy_array_equal(expected, result)
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@pytest.mark.parametrize("empty", [[], pd.Series(), np.array([])])
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def test_isin_empty(empty):
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s = pd.Categorical(["a", "b"])
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expected = np.array([False, False], dtype=bool)
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result = s.isin(empty)
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tm.assert_numpy_array_equal(expected, result)
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class TestTake(object):
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# https://github.com/pandas-dev/pandas/issues/20664
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def test_take_warns(self):
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cat = pd.Categorical(['a', 'b'])
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with tm.assert_produces_warning(FutureWarning):
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cat.take([0, -1])
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def test_take_positive_no_warning(self):
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cat = pd.Categorical(['a', 'b'])
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with tm.assert_produces_warning(None):
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cat.take([0, 0])
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def test_take_bounds(self, allow_fill):
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# https://github.com/pandas-dev/pandas/issues/20664
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cat = pd.Categorical(['a', 'b', 'a'])
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with pytest.raises(IndexError):
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cat.take([4, 5], allow_fill=allow_fill)
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def test_take_empty(self, allow_fill):
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# https://github.com/pandas-dev/pandas/issues/20664
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cat = pd.Categorical([], categories=['a', 'b'])
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with pytest.raises(IndexError):
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cat.take([0], allow_fill=allow_fill)
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def test_positional_take(self, ordered):
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cat = pd.Categorical(['a', 'a', 'b', 'b'], categories=['b', 'a'],
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ordered=ordered)
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result = cat.take([0, 1, 2], allow_fill=False)
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expected = pd.Categorical(['a', 'a', 'b'], categories=cat.categories,
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ordered=ordered)
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tm.assert_categorical_equal(result, expected)
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def test_positional_take_unobserved(self, ordered):
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cat = pd.Categorical(['a', 'b'], categories=['a', 'b', 'c'],
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ordered=ordered)
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result = cat.take([1, 0], allow_fill=False)
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expected = pd.Categorical(['b', 'a'], categories=cat.categories,
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ordered=ordered)
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tm.assert_categorical_equal(result, expected)
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