1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
| import pytest
|
| from pandas import (
| DatetimeIndex,
| Series,
| date_range,
| )
| import pandas._testing as tm
|
|
| class TestDelete:
| def test_delete(self):
| idx = date_range(start="2000-01-01", periods=5, freq="M", name="idx")
|
| # preserve freq
| expected_0 = date_range(start="2000-02-01", periods=4, freq="M", name="idx")
| expected_4 = date_range(start="2000-01-01", periods=4, freq="M", name="idx")
|
| # reset freq to None
| expected_1 = DatetimeIndex(
| ["2000-01-31", "2000-03-31", "2000-04-30", "2000-05-31"],
| freq=None,
| name="idx",
| )
|
| cases = {
| 0: expected_0,
| -5: expected_0,
| -1: expected_4,
| 4: expected_4,
| 1: expected_1,
| }
| for n, expected in cases.items():
| result = idx.delete(n)
| tm.assert_index_equal(result, expected)
| assert result.name == expected.name
| assert result.freq == expected.freq
|
| with pytest.raises((IndexError, ValueError), match="out of bounds"):
| # either depending on numpy version
| idx.delete(5)
|
| for tz in [None, "Asia/Tokyo", "US/Pacific"]:
| idx = date_range(
| start="2000-01-01 09:00", periods=10, freq="H", name="idx", tz=tz
| )
|
| expected = date_range(
| start="2000-01-01 10:00", periods=9, freq="H", name="idx", tz=tz
| )
| result = idx.delete(0)
| tm.assert_index_equal(result, expected)
| assert result.name == expected.name
| assert result.freqstr == "H"
| assert result.tz == expected.tz
|
| expected = date_range(
| start="2000-01-01 09:00", periods=9, freq="H", name="idx", tz=tz
| )
| result = idx.delete(-1)
| tm.assert_index_equal(result, expected)
| assert result.name == expected.name
| assert result.freqstr == "H"
| assert result.tz == expected.tz
|
| def test_delete_slice(self):
| idx = date_range(start="2000-01-01", periods=10, freq="D", name="idx")
|
| # preserve freq
| expected_0_2 = date_range(start="2000-01-04", periods=7, freq="D", name="idx")
| expected_7_9 = date_range(start="2000-01-01", periods=7, freq="D", name="idx")
|
| # reset freq to None
| expected_3_5 = DatetimeIndex(
| [
| "2000-01-01",
| "2000-01-02",
| "2000-01-03",
| "2000-01-07",
| "2000-01-08",
| "2000-01-09",
| "2000-01-10",
| ],
| freq=None,
| name="idx",
| )
|
| cases = {
| (0, 1, 2): expected_0_2,
| (7, 8, 9): expected_7_9,
| (3, 4, 5): expected_3_5,
| }
| for n, expected in cases.items():
| result = idx.delete(n)
| tm.assert_index_equal(result, expected)
| assert result.name == expected.name
| assert result.freq == expected.freq
|
| result = idx.delete(slice(n[0], n[-1] + 1))
| tm.assert_index_equal(result, expected)
| assert result.name == expected.name
| assert result.freq == expected.freq
|
| for tz in [None, "Asia/Tokyo", "US/Pacific"]:
| ts = Series(
| 1,
| index=date_range(
| "2000-01-01 09:00", periods=10, freq="H", name="idx", tz=tz
| ),
| )
| # preserve freq
| result = ts.drop(ts.index[:5]).index
| expected = date_range(
| "2000-01-01 14:00", periods=5, freq="H", name="idx", tz=tz
| )
| tm.assert_index_equal(result, expected)
| assert result.name == expected.name
| assert result.freq == expected.freq
| assert result.tz == expected.tz
|
| # reset freq to None
| result = ts.drop(ts.index[[1, 3, 5, 7, 9]]).index
| expected = DatetimeIndex(
| [
| "2000-01-01 09:00",
| "2000-01-01 11:00",
| "2000-01-01 13:00",
| "2000-01-01 15:00",
| "2000-01-01 17:00",
| ],
| freq=None,
| name="idx",
| tz=tz,
| )
| tm.assert_index_equal(result, expected)
| assert result.name == expected.name
| assert result.freq == expected.freq
| assert result.tz == expected.tz
|
|
