import numpy as np
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import pytest
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from pandas import (
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PeriodIndex,
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Series,
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date_range,
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period_range,
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timedelta_range,
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)
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import pandas._testing as tm
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class DropDuplicates:
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def test_drop_duplicates_metadata(self, idx):
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# GH#10115
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result = idx.drop_duplicates()
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tm.assert_index_equal(idx, result)
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assert idx.freq == result.freq
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idx_dup = idx.append(idx)
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result = idx_dup.drop_duplicates()
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expected = idx
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if not isinstance(idx, PeriodIndex):
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# freq is reset except for PeriodIndex
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assert idx_dup.freq is None
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assert result.freq is None
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expected = idx._with_freq(None)
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else:
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assert result.freq == expected.freq
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tm.assert_index_equal(result, expected)
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@pytest.mark.parametrize(
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"keep, expected, index",
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[
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(
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"first",
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np.concatenate(([False] * 10, [True] * 5)),
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np.arange(0, 10, dtype=np.int64),
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),
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(
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"last",
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np.concatenate(([True] * 5, [False] * 10)),
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np.arange(5, 15, dtype=np.int64),
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),
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(
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False,
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np.concatenate(([True] * 5, [False] * 5, [True] * 5)),
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np.arange(5, 10, dtype=np.int64),
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),
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],
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)
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def test_drop_duplicates(self, keep, expected, index, idx):
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# to check Index/Series compat
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idx = idx.append(idx[:5])
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tm.assert_numpy_array_equal(idx.duplicated(keep=keep), expected)
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expected = idx[~expected]
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result = idx.drop_duplicates(keep=keep)
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tm.assert_index_equal(result, expected)
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result = Series(idx).drop_duplicates(keep=keep)
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expected = Series(expected, index=index)
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tm.assert_series_equal(result, expected)
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class TestDropDuplicatesPeriodIndex(DropDuplicates):
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@pytest.fixture(params=["D", "3D", "H", "2H", "T", "2T", "S", "3S"])
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def freq(self, request):
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return request.param
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@pytest.fixture
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def idx(self, freq):
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return period_range("2011-01-01", periods=10, freq=freq, name="idx")
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class TestDropDuplicatesDatetimeIndex(DropDuplicates):
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@pytest.fixture
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def idx(self, freq_sample):
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return date_range("2011-01-01", freq=freq_sample, periods=10, name="idx")
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class TestDropDuplicatesTimedeltaIndex(DropDuplicates):
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@pytest.fixture
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def idx(self, freq_sample):
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return timedelta_range("1 day", periods=10, freq=freq_sample, name="idx")
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