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138 lines
4.5 KiB
138 lines
4.5 KiB
import pytest
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from pandas import (
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DatetimeIndex,
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Series,
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date_range,
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)
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import pandas._testing as tm
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class TestDelete:
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def test_delete(self):
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idx = date_range(start="2000-01-01", periods=5, freq="M", name="idx")
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# preserve freq
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expected_0 = date_range(start="2000-02-01", periods=4, freq="M", name="idx")
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expected_4 = date_range(start="2000-01-01", periods=4, freq="M", name="idx")
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# reset freq to None
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expected_1 = DatetimeIndex(
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["2000-01-31", "2000-03-31", "2000-04-30", "2000-05-31"],
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freq=None,
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name="idx",
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)
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cases = {
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0: expected_0,
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-5: expected_0,
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-1: expected_4,
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4: expected_4,
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1: expected_1,
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}
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for n, expected in cases.items():
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result = idx.delete(n)
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tm.assert_index_equal(result, expected)
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assert result.name == expected.name
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assert result.freq == expected.freq
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with pytest.raises((IndexError, ValueError), match="out of bounds"):
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# either depending on numpy version
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idx.delete(5)
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for tz in [None, "Asia/Tokyo", "US/Pacific"]:
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idx = date_range(
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start="2000-01-01 09:00", periods=10, freq="H", name="idx", tz=tz
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)
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expected = date_range(
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start="2000-01-01 10:00", periods=9, freq="H", name="idx", tz=tz
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)
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result = idx.delete(0)
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tm.assert_index_equal(result, expected)
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assert result.name == expected.name
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assert result.freqstr == "H"
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assert result.tz == expected.tz
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expected = date_range(
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start="2000-01-01 09:00", periods=9, freq="H", name="idx", tz=tz
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)
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result = idx.delete(-1)
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tm.assert_index_equal(result, expected)
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assert result.name == expected.name
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assert result.freqstr == "H"
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assert result.tz == expected.tz
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def test_delete_slice(self):
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idx = date_range(start="2000-01-01", periods=10, freq="D", name="idx")
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# preserve freq
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expected_0_2 = date_range(start="2000-01-04", periods=7, freq="D", name="idx")
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expected_7_9 = date_range(start="2000-01-01", periods=7, freq="D", name="idx")
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# reset freq to None
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expected_3_5 = DatetimeIndex(
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[
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"2000-01-01",
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"2000-01-02",
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"2000-01-03",
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"2000-01-07",
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"2000-01-08",
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"2000-01-09",
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"2000-01-10",
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],
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freq=None,
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name="idx",
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)
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cases = {
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(0, 1, 2): expected_0_2,
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(7, 8, 9): expected_7_9,
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(3, 4, 5): expected_3_5,
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}
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for n, expected in cases.items():
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result = idx.delete(n)
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tm.assert_index_equal(result, expected)
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assert result.name == expected.name
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assert result.freq == expected.freq
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result = idx.delete(slice(n[0], n[-1] + 1))
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tm.assert_index_equal(result, expected)
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assert result.name == expected.name
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assert result.freq == expected.freq
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for tz in [None, "Asia/Tokyo", "US/Pacific"]:
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ts = Series(
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1,
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index=date_range(
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"2000-01-01 09:00", periods=10, freq="H", name="idx", tz=tz
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),
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)
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# preserve freq
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result = ts.drop(ts.index[:5]).index
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expected = date_range(
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"2000-01-01 14:00", periods=5, freq="H", name="idx", tz=tz
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)
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tm.assert_index_equal(result, expected)
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assert result.name == expected.name
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assert result.freq == expected.freq
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assert result.tz == expected.tz
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# reset freq to None
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result = ts.drop(ts.index[[1, 3, 5, 7, 9]]).index
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expected = DatetimeIndex(
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[
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"2000-01-01 09:00",
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"2000-01-01 11:00",
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"2000-01-01 13:00",
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"2000-01-01 15:00",
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"2000-01-01 17:00",
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],
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freq=None,
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name="idx",
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tz=tz,
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)
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tm.assert_index_equal(result, expected)
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assert result.name == expected.name
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assert result.freq == expected.freq
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assert result.tz == expected.tz
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