forked from pandas-dev/pandas
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathtest_lib.py
248 lines (204 loc) · 10.4 KB
/
test_lib.py
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
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
# -*- coding: utf-8 -*-
from datetime import datetime, timedelta, date, time
import numpy as np
import pandas as pd
import pandas.lib as lib
import pandas.util.testing as tm
from pandas.compat import u, PY2
class TestMisc(tm.TestCase):
def test_max_len_string_array(self):
arr = a = np.array(['foo', 'b', np.nan], dtype='object')
self.assertTrue(lib.max_len_string_array(arr), 3)
# unicode
arr = a.astype('U').astype(object)
self.assertTrue(lib.max_len_string_array(arr), 3)
# bytes for python3
arr = a.astype('S').astype(object)
self.assertTrue(lib.max_len_string_array(arr), 3)
# raises
tm.assertRaises(TypeError,
lambda: lib.max_len_string_array(arr.astype('U')))
def test_infer_dtype_bytes(self):
compare = 'string' if PY2 else 'bytes'
# string array of bytes
arr = np.array(list('abc'), dtype='S1')
self.assertEqual(pd.lib.infer_dtype(arr), compare)
# object array of bytes
arr = arr.astype(object)
self.assertEqual(pd.lib.infer_dtype(arr), compare)
def test_maybe_indices_to_slice_left_edge(self):
target = np.arange(100)
# slice
indices = np.array([], dtype=np.int64)
maybe_slice = lib.maybe_indices_to_slice(indices, len(target))
self.assertTrue(isinstance(maybe_slice, slice))
self.assert_numpy_array_equal(target[indices], target[maybe_slice])
for end in [1, 2, 5, 20, 99]:
for step in [1, 2, 4]:
indices = np.arange(0, end, step, dtype=np.int64)
maybe_slice = lib.maybe_indices_to_slice(indices, len(target))
self.assertTrue(isinstance(maybe_slice, slice))
self.assert_numpy_array_equal(target[indices], target[maybe_slice])
# reverse
indices = indices[::-1]
maybe_slice = lib.maybe_indices_to_slice(indices, len(target))
self.assertTrue(isinstance(maybe_slice, slice))
self.assert_numpy_array_equal(target[indices], target[maybe_slice])
# not slice
for case in [[2, 1, 2, 0], [2, 2, 1, 0], [0, 1, 2, 1], [-2, 0, 2], [2, 0, -2]]:
indices = np.array(case, dtype=np.int64)
maybe_slice = lib.maybe_indices_to_slice(indices, len(target))
self.assertFalse(isinstance(maybe_slice, slice))
self.assert_numpy_array_equal(maybe_slice, indices)
self.assert_numpy_array_equal(target[indices], target[maybe_slice])
def test_maybe_indices_to_slice_right_edge(self):
target = np.arange(100)
# slice
for start in [0, 2, 5, 20, 97, 98]:
for step in [1, 2, 4]:
indices = np.arange(start, 99, step, dtype=np.int64)
maybe_slice = lib.maybe_indices_to_slice(indices, len(target))
self.assertTrue(isinstance(maybe_slice, slice))
self.assert_numpy_array_equal(target[indices], target[maybe_slice])
# reverse
indices = indices[::-1]
maybe_slice = lib.maybe_indices_to_slice(indices, len(target))
self.assertTrue(isinstance(maybe_slice, slice))
self.assert_numpy_array_equal(target[indices], target[maybe_slice])
# not slice
indices = np.array([97, 98, 99, 100], dtype=np.int64)
maybe_slice = lib.maybe_indices_to_slice(indices, len(target))
self.assertFalse(isinstance(maybe_slice, slice))
self.assert_numpy_array_equal(maybe_slice, indices)
with self.assertRaises(IndexError):
target[indices]
with self.assertRaises(IndexError):
target[maybe_slice]
indices = np.array([100, 99, 98, 97], dtype=np.int64)
maybe_slice = lib.maybe_indices_to_slice(indices, len(target))
self.assertFalse(isinstance(maybe_slice, slice))
self.assert_numpy_array_equal(maybe_slice, indices)
with self.assertRaises(IndexError):
target[indices]
with self.assertRaises(IndexError):
target[maybe_slice]
for case in [[99, 97, 99, 96], [99, 99, 98, 97], [98, 98, 97, 96]]:
indices = np.array(case, dtype=np.int64)
maybe_slice = lib.maybe_indices_to_slice(indices, len(target))
self.assertFalse(isinstance(maybe_slice, slice))
self.assert_numpy_array_equal(maybe_slice, indices)
self.assert_numpy_array_equal(target[indices], target[maybe_slice])
def test_maybe_indices_to_slice_both_edges(self):
target = np.arange(10)
# slice
for step in [1, 2, 4, 5, 8, 9]:
indices = np.arange(0, 9, step, dtype=np.int64)
maybe_slice = lib.maybe_indices_to_slice(indices, len(target))
self.assertTrue(isinstance(maybe_slice, slice))
self.assert_numpy_array_equal(target[indices], target[maybe_slice])
# reverse
indices = indices[::-1]
maybe_slice = lib.maybe_indices_to_slice(indices, len(target))
self.assertTrue(isinstance(maybe_slice, slice))
self.assert_numpy_array_equal(target[indices], target[maybe_slice])
# not slice
for case in [[4, 2, 0, -2], [2, 2, 1, 0], [0, 1, 2, 1]]:
indices = np.array(case, dtype=np.int64)
maybe_slice = lib.maybe_indices_to_slice(indices, len(target))
self.assertFalse(isinstance(maybe_slice, slice))
self.assert_numpy_array_equal(maybe_slice, indices)
self.assert_numpy_array_equal(target[indices], target[maybe_slice])
def test_maybe_indices_to_slice_middle(self):
target = np.arange(100)
# slice
for start, end in [(2, 10), (5, 25), (65, 97)]:
for step in [1, 2, 4, 20]:
indices = np.arange(start, end, step, dtype=np.int64)
maybe_slice = lib.maybe_indices_to_slice(indices, len(target))
self.assertTrue(isinstance(maybe_slice, slice))
self.assert_numpy_array_equal(target[indices], target[maybe_slice])
# reverse
indices = indices[::-1]
maybe_slice = lib.maybe_indices_to_slice(indices, len(target))
self.assertTrue(isinstance(maybe_slice, slice))
self.assert_numpy_array_equal(target[indices], target[maybe_slice])
# not slice
for case in [[14, 12, 10, 12], [12, 12, 11, 10], [10, 11, 12, 11]]:
indices = np.array(case, dtype=np.int64)
maybe_slice = lib.maybe_indices_to_slice(indices, len(target))
self.assertFalse(isinstance(maybe_slice, slice))
self.assert_numpy_array_equal(maybe_slice, indices)
self.assert_numpy_array_equal(target[indices], target[maybe_slice])
def test_isinf_scalar(self):
#GH 11352
self.assertTrue(lib.isposinf_scalar(float('inf')))
self.assertTrue(lib.isposinf_scalar(np.inf))
self.assertFalse(lib.isposinf_scalar(-np.inf))
self.assertFalse(lib.isposinf_scalar(1))
self.assertFalse(lib.isposinf_scalar('a'))
self.assertTrue(lib.isneginf_scalar(float('-inf')))
self.assertTrue(lib.isneginf_scalar(-np.inf))
self.assertFalse(lib.isneginf_scalar(np.inf))
self.assertFalse(lib.isneginf_scalar(1))
self.assertFalse(lib.isneginf_scalar('a'))
class Testisscalar(tm.TestCase):
def test_isscalar_builtin_scalars(self):
self.assertTrue(lib.isscalar(None))
self.assertTrue(lib.isscalar(True))
self.assertTrue(lib.isscalar(False))
self.assertTrue(lib.isscalar(0.))
self.assertTrue(lib.isscalar(np.nan))
self.assertTrue(lib.isscalar('foobar'))
self.assertTrue(lib.isscalar(b'foobar'))
self.assertTrue(lib.isscalar(u('efoobar')))
self.assertTrue(lib.isscalar(datetime(2014, 1, 1)))
self.assertTrue(lib.isscalar(date(2014, 1, 1)))
self.assertTrue(lib.isscalar(time(12, 0)))
self.assertTrue(lib.isscalar(timedelta(hours=1)))
self.assertTrue(lib.isscalar(pd.NaT))
def test_isscalar_builtin_nonscalars(self):
self.assertFalse(lib.isscalar({}))
self.assertFalse(lib.isscalar([]))
self.assertFalse(lib.isscalar([1]))
self.assertFalse(lib.isscalar(()))
self.assertFalse(lib.isscalar((1,)))
self.assertFalse(lib.isscalar(slice(None)))
self.assertFalse(lib.isscalar(Ellipsis))
def test_isscalar_numpy_array_scalars(self):
self.assertTrue(lib.isscalar(np.int64(1)))
self.assertTrue(lib.isscalar(np.float64(1.)))
self.assertTrue(lib.isscalar(np.int32(1)))
self.assertTrue(lib.isscalar(np.object_('foobar')))
self.assertTrue(lib.isscalar(np.str_('foobar')))
self.assertTrue(lib.isscalar(np.unicode_(u('foobar'))))
self.assertTrue(lib.isscalar(np.bytes_(b'foobar')))
self.assertTrue(lib.isscalar(np.datetime64('2014-01-01')))
self.assertTrue(lib.isscalar(np.timedelta64(1, 'h')))
def test_isscalar_numpy_zerodim_arrays(self):
for zerodim in [np.array(1),
np.array('foobar'),
np.array(np.datetime64('2014-01-01')),
np.array(np.timedelta64(1, 'h'))]:
self.assertFalse(lib.isscalar(zerodim))
self.assertTrue(lib.isscalar(lib.item_from_zerodim(zerodim)))
def test_isscalar_numpy_arrays(self):
self.assertFalse(lib.isscalar(np.array([])))
self.assertFalse(lib.isscalar(np.array([[]])))
self.assertFalse(lib.isscalar(np.matrix('1; 2')))
def test_isscalar_pandas_scalars(self):
self.assertTrue(lib.isscalar(pd.Timestamp('2014-01-01')))
self.assertTrue(lib.isscalar(pd.Timedelta(hours=1)))
self.assertTrue(lib.isscalar(pd.Period('2014-01-01')))
def test_lisscalar_pandas_containers(self):
self.assertFalse(lib.isscalar(pd.Series()))
self.assertFalse(lib.isscalar(pd.Series([1])))
self.assertFalse(lib.isscalar(pd.DataFrame()))
self.assertFalse(lib.isscalar(pd.DataFrame([[1]])))
self.assertFalse(lib.isscalar(pd.Panel()))
self.assertFalse(lib.isscalar(pd.Panel([[[1]]])))
self.assertFalse(lib.isscalar(pd.Index([])))
self.assertFalse(lib.isscalar(pd.Index([1])))
if __name__ == '__main__':
import nose
nose.runmodule(argv=[__file__, '-vvs', '-x', '--pdb', '--pdb-failure'],
exit=False)