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
| import numpy as np
| import pytest
|
| from pandas import (
| DataFrame,
| Index,
| MultiIndex,
| Series,
| date_range,
| )
|
|
| @pytest.fixture
| def series_ints():
| return Series(np.random.default_rng(2).random(4), index=np.arange(0, 8, 2))
|
|
| @pytest.fixture
| def frame_ints():
| return DataFrame(
| np.random.default_rng(2).standard_normal((4, 4)),
| index=np.arange(0, 8, 2),
| columns=np.arange(0, 12, 3),
| )
|
|
| @pytest.fixture
| def series_uints():
| return Series(
| np.random.default_rng(2).random(4),
| index=Index(np.arange(0, 8, 2, dtype=np.uint64)),
| )
|
|
| @pytest.fixture
| def frame_uints():
| return DataFrame(
| np.random.default_rng(2).standard_normal((4, 4)),
| index=Index(range(0, 8, 2), dtype=np.uint64),
| columns=Index(range(0, 12, 3), dtype=np.uint64),
| )
|
|
| @pytest.fixture
| def series_labels():
| return Series(np.random.default_rng(2).standard_normal(4), index=list("abcd"))
|
|
| @pytest.fixture
| def frame_labels():
| return DataFrame(
| np.random.default_rng(2).standard_normal((4, 4)),
| index=list("abcd"),
| columns=list("ABCD"),
| )
|
|
| @pytest.fixture
| def series_ts():
| return Series(
| np.random.default_rng(2).standard_normal(4),
| index=date_range("20130101", periods=4),
| )
|
|
| @pytest.fixture
| def frame_ts():
| return DataFrame(
| np.random.default_rng(2).standard_normal((4, 4)),
| index=date_range("20130101", periods=4),
| )
|
|
| @pytest.fixture
| def series_floats():
| return Series(
| np.random.default_rng(2).random(4),
| index=Index(range(0, 8, 2), dtype=np.float64),
| )
|
|
| @pytest.fixture
| def frame_floats():
| return DataFrame(
| np.random.default_rng(2).standard_normal((4, 4)),
| index=Index(range(0, 8, 2), dtype=np.float64),
| columns=Index(range(0, 12, 3), dtype=np.float64),
| )
|
|
| @pytest.fixture
| def series_mixed():
| return Series(np.random.default_rng(2).standard_normal(4), index=[2, 4, "null", 8])
|
|
| @pytest.fixture
| def frame_mixed():
| return DataFrame(
| np.random.default_rng(2).standard_normal((4, 4)), index=[2, 4, "null", 8]
| )
|
|
| @pytest.fixture
| def frame_empty():
| return DataFrame()
|
|
| @pytest.fixture
| def series_empty():
| return Series(dtype=object)
|
|
| @pytest.fixture
| def frame_multi():
| return DataFrame(
| np.random.default_rng(2).standard_normal((4, 4)),
| index=MultiIndex.from_product([[1, 2], [3, 4]]),
| columns=MultiIndex.from_product([[5, 6], [7, 8]]),
| )
|
|
| @pytest.fixture
| def series_multi():
| return Series(
| np.random.default_rng(2).random(4),
| index=MultiIndex.from_product([[1, 2], [3, 4]]),
| )
|
|