83 lines
3.2 KiB
Python
83 lines
3.2 KiB
Python
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import pytest
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import pandas as pd
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from pandas.util import testing as tm
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import numpy as np
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class TestTimedeltaIndexing(object):
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def test_boolean_indexing(self):
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# GH 14946
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df = pd.DataFrame({'x': range(10)})
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df.index = pd.to_timedelta(range(10), unit='s')
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conditions = [df['x'] > 3, df['x'] == 3, df['x'] < 3]
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expected_data = [[0, 1, 2, 3, 10, 10, 10, 10, 10, 10],
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[0, 1, 2, 10, 4, 5, 6, 7, 8, 9],
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[10, 10, 10, 3, 4, 5, 6, 7, 8, 9]]
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for cond, data in zip(conditions, expected_data):
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result = df.assign(x=df.mask(cond, 10).astype('int64'))
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expected = pd.DataFrame(data,
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index=pd.to_timedelta(range(10), unit='s'),
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columns=['x'],
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dtype='int64')
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tm.assert_frame_equal(expected, result)
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@pytest.mark.parametrize(
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"indexer, expected",
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[(0, [20, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
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(slice(4, 8), [0, 1, 2, 3, 20, 20, 20, 20, 8, 9]),
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([3, 5], [0, 1, 2, 20, 4, 20, 6, 7, 8, 9])])
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def test_list_like_indexing(self, indexer, expected):
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# GH 16637
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df = pd.DataFrame({'x': range(10)}, dtype="int64")
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df.index = pd.to_timedelta(range(10), unit='s')
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df.loc[df.index[indexer], 'x'] = 20
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expected = pd.DataFrame(expected,
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index=pd.to_timedelta(range(10), unit='s'),
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columns=['x'],
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dtype="int64")
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tm.assert_frame_equal(expected, df)
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def test_string_indexing(self):
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# GH 16896
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df = pd.DataFrame({'x': range(3)},
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index=pd.to_timedelta(range(3), unit='days'))
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expected = df.iloc[0]
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sliced = df.loc['0 days']
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tm.assert_series_equal(sliced, expected)
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@pytest.mark.parametrize(
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"value",
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[None, pd.NaT, np.nan])
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def test_masked_setitem(self, value):
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# issue (#18586)
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series = pd.Series([0, 1, 2], dtype='timedelta64[ns]')
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series[series == series[0]] = value
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expected = pd.Series([pd.NaT, 1, 2], dtype='timedelta64[ns]')
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tm.assert_series_equal(series, expected)
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@pytest.mark.parametrize(
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"value",
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[None, pd.NaT, np.nan])
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def test_listlike_setitem(self, value):
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# issue (#18586)
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series = pd.Series([0, 1, 2], dtype='timedelta64[ns]')
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series.iloc[0] = value
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expected = pd.Series([pd.NaT, 1, 2], dtype='timedelta64[ns]')
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tm.assert_series_equal(series, expected)
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@pytest.mark.parametrize('start,stop, expected_slice', [
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[np.timedelta64(0, 'ns'), None, slice(0, 11)],
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[np.timedelta64(1, 'D'), np.timedelta64(6, 'D'), slice(1, 7)],
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[None, np.timedelta64(4, 'D'), slice(0, 5)]])
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def test_numpy_timedelta_scalar_indexing(self, start, stop,
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expected_slice):
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# GH 20393
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s = pd.Series(range(11), pd.timedelta_range('0 days', '10 days'))
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result = s.loc[slice(start, stop)]
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expected = s.iloc[expected_slice]
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tm.assert_series_equal(result, expected)
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