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| import numpy as np
| import pytest
|
| from pandas import (
| NA,
| Categorical,
| Series,
| )
| import pandas._testing as tm
|
|
| @pytest.mark.parametrize(
| "keep, expected",
| [
| ("first", Series([False, False, True, False, True], name="name")),
| ("last", Series([True, True, False, False, False], name="name")),
| (False, Series([True, True, True, False, True], name="name")),
| ],
| )
| def test_duplicated_keep(keep, expected):
| ser = Series(["a", "b", "b", "c", "a"], name="name")
|
| result = ser.duplicated(keep=keep)
| tm.assert_series_equal(result, expected)
|
|
| @pytest.mark.parametrize(
| "keep, expected",
| [
| ("first", Series([False, False, True, False, True])),
| ("last", Series([True, True, False, False, False])),
| (False, Series([True, True, True, False, True])),
| ],
| )
| def test_duplicated_nan_none(keep, expected):
| ser = Series([np.nan, 3, 3, None, np.nan], dtype=object)
|
| result = ser.duplicated(keep=keep)
| tm.assert_series_equal(result, expected)
|
|
| def test_duplicated_categorical_bool_na(nulls_fixture):
| # GH#44351
| ser = Series(
| Categorical(
| [True, False, True, False, nulls_fixture],
| categories=[True, False],
| ordered=True,
| )
| )
| result = ser.duplicated()
| expected = Series([False, False, True, True, False])
| tm.assert_series_equal(result, expected)
|
|
| @pytest.mark.parametrize(
| "keep, vals",
| [
| ("last", [True, True, False]),
| ("first", [False, True, True]),
| (False, [True, True, True]),
| ],
| )
| def test_duplicated_mask(keep, vals):
| # GH#48150
| ser = Series([1, 2, NA, NA, NA], dtype="Int64")
| result = ser.duplicated(keep=keep)
| expected = Series([False, False] + vals)
| tm.assert_series_equal(result, expected)
|
|
| def test_duplicated_mask_no_duplicated_na(keep):
| # GH#48150
| ser = Series([1, 2, NA], dtype="Int64")
| result = ser.duplicated(keep=keep)
| expected = Series([False, False, False])
| tm.assert_series_equal(result, expected)
|
|
