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
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
| """
| Tests the usecols functionality during parsing
| for all of the parsers defined in parsers.py
| """
| from io import StringIO
|
| import pytest
|
| from pandas import (
| DataFrame,
| Index,
| Timestamp,
| )
| import pandas._testing as tm
|
| pytestmark = pytest.mark.filterwarnings(
| "ignore:Passing a BlockManager to DataFrame:DeprecationWarning"
| )
| xfail_pyarrow = pytest.mark.usefixtures("pyarrow_xfail")
| skip_pyarrow = pytest.mark.usefixtures("pyarrow_skip")
|
| _msg_pyarrow_requires_names = (
| "The pyarrow engine does not allow 'usecols' to be integer column "
| "positions. Pass a list of string column names instead."
| )
|
|
| @pytest.mark.parametrize("usecols", [[0, 2, 3], [3, 0, 2]])
| def test_usecols_with_parse_dates(all_parsers, usecols):
| # see gh-9755
| data = """a,b,c,d,e
| 0,1,2014-01-01,09:00,4
| 0,1,2014-01-02,10:00,4"""
| parser = all_parsers
| parse_dates = [[1, 2]]
|
| depr_msg = (
| "Support for nested sequences for 'parse_dates' in pd.read_csv is deprecated"
| )
|
| cols = {
| "a": [0, 0],
| "c_d": [Timestamp("2014-01-01 09:00:00"), Timestamp("2014-01-02 10:00:00")],
| }
| expected = DataFrame(cols, columns=["c_d", "a"])
| if parser.engine == "pyarrow":
| with pytest.raises(ValueError, match=_msg_pyarrow_requires_names):
| with tm.assert_produces_warning(
| FutureWarning, match=depr_msg, check_stacklevel=False
| ):
| parser.read_csv(
| StringIO(data), usecols=usecols, parse_dates=parse_dates
| )
| return
| with tm.assert_produces_warning(
| FutureWarning, match=depr_msg, check_stacklevel=False
| ):
| result = parser.read_csv(
| StringIO(data), usecols=usecols, parse_dates=parse_dates
| )
| tm.assert_frame_equal(result, expected)
|
|
| @skip_pyarrow # pyarrow.lib.ArrowKeyError: Column 'fdate' in include_columns
| def test_usecols_with_parse_dates2(all_parsers):
| # see gh-13604
| parser = all_parsers
| data = """2008-02-07 09:40,1032.43
| 2008-02-07 09:50,1042.54
| 2008-02-07 10:00,1051.65"""
|
| names = ["date", "values"]
| usecols = names[:]
| parse_dates = [0]
|
| index = Index(
| [
| Timestamp("2008-02-07 09:40"),
| Timestamp("2008-02-07 09:50"),
| Timestamp("2008-02-07 10:00"),
| ],
| name="date",
| )
| cols = {"values": [1032.43, 1042.54, 1051.65]}
| expected = DataFrame(cols, index=index)
|
| result = parser.read_csv(
| StringIO(data),
| parse_dates=parse_dates,
| index_col=0,
| usecols=usecols,
| header=None,
| names=names,
| )
| tm.assert_frame_equal(result, expected)
|
|
| def test_usecols_with_parse_dates3(all_parsers):
| # see gh-14792
| parser = all_parsers
| data = """a,b,c,d,e,f,g,h,i,j
| 2016/09/21,1,1,2,3,4,5,6,7,8"""
|
| usecols = list("abcdefghij")
| parse_dates = [0]
|
| cols = {
| "a": Timestamp("2016-09-21").as_unit("ns"),
| "b": [1],
| "c": [1],
| "d": [2],
| "e": [3],
| "f": [4],
| "g": [5],
| "h": [6],
| "i": [7],
| "j": [8],
| }
| expected = DataFrame(cols, columns=usecols)
|
| result = parser.read_csv(StringIO(data), usecols=usecols, parse_dates=parse_dates)
| tm.assert_frame_equal(result, expected)
|
|
| def test_usecols_with_parse_dates4(all_parsers):
| data = "a,b,c,d,e,f,g,h,i,j\n2016/09/21,1,1,2,3,4,5,6,7,8"
| usecols = list("abcdefghij")
| parse_dates = [[0, 1]]
| parser = all_parsers
|
| cols = {
| "a_b": "2016/09/21 1",
| "c": [1],
| "d": [2],
| "e": [3],
| "f": [4],
| "g": [5],
| "h": [6],
| "i": [7],
| "j": [8],
| }
| expected = DataFrame(cols, columns=["a_b"] + list("cdefghij"))
|
| depr_msg = (
| "Support for nested sequences for 'parse_dates' in pd.read_csv is deprecated"
| )
| with tm.assert_produces_warning(
| (FutureWarning, DeprecationWarning), match=depr_msg, check_stacklevel=False
| ):
| result = parser.read_csv(
| StringIO(data),
| usecols=usecols,
| parse_dates=parse_dates,
| )
| tm.assert_frame_equal(result, expected)
|
|
| @pytest.mark.parametrize("usecols", [[0, 2, 3], [3, 0, 2]])
| @pytest.mark.parametrize(
| "names",
| [
| list("abcde"), # Names span all columns in original data.
| list("acd"), # Names span only the selected columns.
| ],
| )
| def test_usecols_with_parse_dates_and_names(all_parsers, usecols, names, request):
| # see gh-9755
| s = """0,1,2014-01-01,09:00,4
| 0,1,2014-01-02,10:00,4"""
| parse_dates = [[1, 2]]
| parser = all_parsers
|
| if parser.engine == "pyarrow" and not (len(names) == 3 and usecols[0] == 0):
| mark = pytest.mark.xfail(
| reason="Length mismatch in some cases, UserWarning in other"
| )
| request.applymarker(mark)
|
| cols = {
| "a": [0, 0],
| "c_d": [Timestamp("2014-01-01 09:00:00"), Timestamp("2014-01-02 10:00:00")],
| }
| expected = DataFrame(cols, columns=["c_d", "a"])
|
| depr_msg = (
| "Support for nested sequences for 'parse_dates' in pd.read_csv is deprecated"
| )
| with tm.assert_produces_warning(
| (FutureWarning, DeprecationWarning), match=depr_msg, check_stacklevel=False
| ):
| result = parser.read_csv(
| StringIO(s), names=names, parse_dates=parse_dates, usecols=usecols
| )
| tm.assert_frame_equal(result, expected)
|
|
