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
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
| import numpy as np
| import pytest
|
| from pandas import Series
| from pandas.core.strings.accessor import StringMethods
|
| _any_string_method = [
| ("cat", (), {"sep": ","}),
| ("cat", (Series(list("zyx")),), {"sep": ",", "join": "left"}),
| ("center", (10,), {}),
| ("contains", ("a",), {}),
| ("count", ("a",), {}),
| ("decode", ("UTF-8",), {}),
| ("encode", ("UTF-8",), {}),
| ("endswith", ("a",), {}),
| ("endswith", ("a",), {"na": True}),
| ("endswith", ("a",), {"na": False}),
| ("extract", ("([a-z]*)",), {"expand": False}),
| ("extract", ("([a-z]*)",), {"expand": True}),
| ("extractall", ("([a-z]*)",), {}),
| ("find", ("a",), {}),
| ("findall", ("a",), {}),
| ("get", (0,), {}),
| # because "index" (and "rindex") fail intentionally
| # if the string is not found, search only for empty string
| ("index", ("",), {}),
| ("join", (",",), {}),
| ("ljust", (10,), {}),
| ("match", ("a",), {}),
| ("fullmatch", ("a",), {}),
| ("normalize", ("NFC",), {}),
| ("pad", (10,), {}),
| ("partition", (" ",), {"expand": False}),
| ("partition", (" ",), {"expand": True}),
| ("repeat", (3,), {}),
| ("replace", ("a", "z"), {}),
| ("rfind", ("a",), {}),
| ("rindex", ("",), {}),
| ("rjust", (10,), {}),
| ("rpartition", (" ",), {"expand": False}),
| ("rpartition", (" ",), {"expand": True}),
| ("slice", (0, 1), {}),
| ("slice_replace", (0, 1, "z"), {}),
| ("split", (" ",), {"expand": False}),
| ("split", (" ",), {"expand": True}),
| ("startswith", ("a",), {}),
| ("startswith", ("a",), {"na": True}),
| ("startswith", ("a",), {"na": False}),
| ("removeprefix", ("a",), {}),
| ("removesuffix", ("a",), {}),
| # translating unicode points of "a" to "d"
| ("translate", ({97: 100},), {}),
| ("wrap", (2,), {}),
| ("zfill", (10,), {}),
| ] + list(
| zip(
| [
| # methods without positional arguments: zip with empty tuple and empty dict
| "capitalize",
| "cat",
| "get_dummies",
| "isalnum",
| "isalpha",
| "isdecimal",
| "isdigit",
| "islower",
| "isnumeric",
| "isspace",
| "istitle",
| "isupper",
| "len",
| "lower",
| "lstrip",
| "partition",
| "rpartition",
| "rsplit",
| "rstrip",
| "slice",
| "slice_replace",
| "split",
| "strip",
| "swapcase",
| "title",
| "upper",
| "casefold",
| ],
| [()] * 100,
| [{}] * 100,
| )
| )
| ids, _, _ = zip(*_any_string_method) # use method name as fixture-id
| missing_methods = {f for f in dir(StringMethods) if not f.startswith("_")} - set(ids)
|
| # test that the above list captures all methods of StringMethods
| assert not missing_methods
|
|
| @pytest.fixture(params=_any_string_method, ids=ids)
| def any_string_method(request):
| """
| Fixture for all public methods of `StringMethods`
|
| This fixture returns a tuple of the method name and sample arguments
| necessary to call the method.
|
| Returns
| -------
| method_name : str
| The name of the method in `StringMethods`
| args : tuple
| Sample values for the positional arguments
| kwargs : dict
| Sample values for the keyword arguments
|
| Examples
| --------
| >>> def test_something(any_string_method):
| ... s = Series(['a', 'b', np.nan, 'd'])
| ...
| ... method_name, args, kwargs = any_string_method
| ... method = getattr(s.str, method_name)
| ... # will not raise
| ... method(*args, **kwargs)
| """
| return request.param
|
|
| # subset of the full set from pandas/conftest.py
| _any_allowed_skipna_inferred_dtype = [
| ("string", ["a", np.nan, "c"]),
| ("bytes", [b"a", np.nan, b"c"]),
| ("empty", [np.nan, np.nan, np.nan]),
| ("empty", []),
| ("mixed-integer", ["a", np.nan, 2]),
| ]
| ids, _ = zip(*_any_allowed_skipna_inferred_dtype) # use inferred type as id
|
|
| @pytest.fixture(params=_any_allowed_skipna_inferred_dtype, ids=ids)
| def any_allowed_skipna_inferred_dtype(request):
| """
| Fixture for all (inferred) dtypes allowed in StringMethods.__init__
|
| The covered (inferred) types are:
| * 'string'
| * 'empty'
| * 'bytes'
| * 'mixed'
| * 'mixed-integer'
|
| Returns
| -------
| inferred_dtype : str
| The string for the inferred dtype from _libs.lib.infer_dtype
| values : np.ndarray
| An array of object dtype that will be inferred to have
| `inferred_dtype`
|
| Examples
| --------
| >>> from pandas._libs import lib
| >>>
| >>> def test_something(any_allowed_skipna_inferred_dtype):
| ... inferred_dtype, values = any_allowed_skipna_inferred_dtype
| ... # will pass
| ... assert lib.infer_dtype(values, skipna=True) == inferred_dtype
| ...
| ... # constructor for .str-accessor will also pass
| ... Series(values).str
| """
| inferred_dtype, values = request.param
| values = np.array(values, dtype=object) # object dtype to avoid casting
|
| # correctness of inference tested in tests/dtypes/test_inference.py
| return inferred_dtype, values
|
|
