171 lines
6.7 KiB
Python
171 lines
6.7 KiB
Python
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import numpy as np
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import pytest
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from pandas import Categorical, Series
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import pandas._testing as tm
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@pytest.mark.parametrize(
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"keep, expected",
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[
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("first", Series([False, False, False, False, True, True, False])),
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("last", Series([False, True, True, False, False, False, False])),
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(False, Series([False, True, True, False, True, True, False])),
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],
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)
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def test_drop_duplicates(any_numpy_dtype, keep, expected):
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tc = Series([1, 0, 3, 5, 3, 0, 4], dtype=np.dtype(any_numpy_dtype))
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if tc.dtype == "bool":
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pytest.skip("tested separately in test_drop_duplicates_bool")
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tm.assert_series_equal(tc.duplicated(keep=keep), expected)
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tm.assert_series_equal(tc.drop_duplicates(keep=keep), tc[~expected])
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sc = tc.copy()
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return_value = sc.drop_duplicates(keep=keep, inplace=True)
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assert return_value is None
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tm.assert_series_equal(sc, tc[~expected])
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@pytest.mark.parametrize(
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"keep, expected",
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[
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("first", Series([False, False, True, True])),
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("last", Series([True, True, False, False])),
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(False, Series([True, True, True, True])),
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],
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)
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def test_drop_duplicates_bool(keep, expected):
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tc = Series([True, False, True, False])
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tm.assert_series_equal(tc.duplicated(keep=keep), expected)
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tm.assert_series_equal(tc.drop_duplicates(keep=keep), tc[~expected])
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sc = tc.copy()
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return_value = sc.drop_duplicates(keep=keep, inplace=True)
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tm.assert_series_equal(sc, tc[~expected])
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assert return_value is None
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@pytest.mark.parametrize("values", [[], list(range(5))])
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def test_drop_duplicates_no_duplicates(any_numpy_dtype, keep, values):
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tc = Series(values, dtype=np.dtype(any_numpy_dtype))
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expected = Series([False] * len(tc), dtype="bool")
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if tc.dtype == "bool":
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# 0 -> False and 1-> True
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# any other value would be duplicated
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tc = tc[:2]
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expected = expected[:2]
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tm.assert_series_equal(tc.duplicated(keep=keep), expected)
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result_dropped = tc.drop_duplicates(keep=keep)
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tm.assert_series_equal(result_dropped, tc)
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# validate shallow copy
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assert result_dropped is not tc
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class TestSeriesDropDuplicates:
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@pytest.mark.parametrize(
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"dtype",
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["int_", "uint", "float_", "unicode_", "timedelta64[h]", "datetime64[D]"],
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)
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def test_drop_duplicates_categorical_non_bool(self, dtype, ordered):
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cat_array = np.array([1, 2, 3, 4, 5], dtype=np.dtype(dtype))
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# Test case 1
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input1 = np.array([1, 2, 3, 3], dtype=np.dtype(dtype))
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tc1 = Series(Categorical(input1, categories=cat_array, ordered=ordered))
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if dtype == "datetime64[D]":
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# pre-empty flaky xfail, tc1 values are seemingly-random
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if not (np.array(tc1) == input1).all():
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pytest.xfail(reason="GH#7996")
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expected = Series([False, False, False, True])
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tm.assert_series_equal(tc1.duplicated(), expected)
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tm.assert_series_equal(tc1.drop_duplicates(), tc1[~expected])
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sc = tc1.copy()
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return_value = sc.drop_duplicates(inplace=True)
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assert return_value is None
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tm.assert_series_equal(sc, tc1[~expected])
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expected = Series([False, False, True, False])
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tm.assert_series_equal(tc1.duplicated(keep="last"), expected)
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tm.assert_series_equal(tc1.drop_duplicates(keep="last"), tc1[~expected])
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sc = tc1.copy()
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return_value = sc.drop_duplicates(keep="last", inplace=True)
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assert return_value is None
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tm.assert_series_equal(sc, tc1[~expected])
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expected = Series([False, False, True, True])
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tm.assert_series_equal(tc1.duplicated(keep=False), expected)
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tm.assert_series_equal(tc1.drop_duplicates(keep=False), tc1[~expected])
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sc = tc1.copy()
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return_value = sc.drop_duplicates(keep=False, inplace=True)
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assert return_value is None
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tm.assert_series_equal(sc, tc1[~expected])
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# Test case 2
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input2 = np.array([1, 2, 3, 5, 3, 2, 4], dtype=np.dtype(dtype))
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tc2 = Series(Categorical(input2, categories=cat_array, ordered=ordered))
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if dtype == "datetime64[D]":
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# pre-empty flaky xfail, tc2 values are seemingly-random
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if not (np.array(tc2) == input2).all():
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pytest.xfail(reason="GH#7996")
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expected = Series([False, False, False, False, True, True, False])
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tm.assert_series_equal(tc2.duplicated(), expected)
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tm.assert_series_equal(tc2.drop_duplicates(), tc2[~expected])
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sc = tc2.copy()
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return_value = sc.drop_duplicates(inplace=True)
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assert return_value is None
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tm.assert_series_equal(sc, tc2[~expected])
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expected = Series([False, True, True, False, False, False, False])
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tm.assert_series_equal(tc2.duplicated(keep="last"), expected)
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tm.assert_series_equal(tc2.drop_duplicates(keep="last"), tc2[~expected])
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sc = tc2.copy()
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return_value = sc.drop_duplicates(keep="last", inplace=True)
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assert return_value is None
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tm.assert_series_equal(sc, tc2[~expected])
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expected = Series([False, True, True, False, True, True, False])
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tm.assert_series_equal(tc2.duplicated(keep=False), expected)
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tm.assert_series_equal(tc2.drop_duplicates(keep=False), tc2[~expected])
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sc = tc2.copy()
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return_value = sc.drop_duplicates(keep=False, inplace=True)
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assert return_value is None
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tm.assert_series_equal(sc, tc2[~expected])
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def test_drop_duplicates_categorical_bool(self, ordered):
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tc = Series(
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Categorical(
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[True, False, True, False], categories=[True, False], ordered=ordered
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)
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)
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expected = Series([False, False, True, True])
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tm.assert_series_equal(tc.duplicated(), expected)
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tm.assert_series_equal(tc.drop_duplicates(), tc[~expected])
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sc = tc.copy()
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return_value = sc.drop_duplicates(inplace=True)
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assert return_value is None
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tm.assert_series_equal(sc, tc[~expected])
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expected = Series([True, True, False, False])
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tm.assert_series_equal(tc.duplicated(keep="last"), expected)
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tm.assert_series_equal(tc.drop_duplicates(keep="last"), tc[~expected])
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sc = tc.copy()
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return_value = sc.drop_duplicates(keep="last", inplace=True)
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assert return_value is None
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tm.assert_series_equal(sc, tc[~expected])
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expected = Series([True, True, True, True])
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tm.assert_series_equal(tc.duplicated(keep=False), expected)
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tm.assert_series_equal(tc.drop_duplicates(keep=False), tc[~expected])
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sc = tc.copy()
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return_value = sc.drop_duplicates(keep=False, inplace=True)
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assert return_value is None
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tm.assert_series_equal(sc, tc[~expected])
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