forked from pandas-dev/pandas
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathtest_timestamp.py
1177 lines (978 loc) · 38.9 KB
/
test_timestamp.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
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
""" test the scalar Timestamp """
import calendar
from datetime import (
datetime,
timedelta,
timezone,
)
import locale
import time
import unicodedata
from dateutil.tz import (
tzlocal,
tzutc,
)
from hypothesis import (
given,
strategies as st,
)
import numpy as np
import pytest
import pytz
from pytz import utc
from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
from pandas._libs.tslibs.timezones import (
dateutil_gettz as gettz,
get_timezone,
maybe_get_tz,
tz_compare,
)
from pandas.compat import IS64
from pandas.errors import OutOfBoundsDatetime
import pandas.util._test_decorators as td
from pandas import (
NaT,
Timedelta,
Timestamp,
)
import pandas._testing as tm
from pandas.tseries import offsets
from pandas.tseries.frequencies import to_offset
class TestTimestampProperties:
def test_properties_business(self):
freq = to_offset("B")
ts = Timestamp("2017-10-01")
assert ts.dayofweek == 6
assert ts.day_of_week == 6
assert ts.is_month_start # not a weekday
assert not freq.is_month_start(ts)
assert freq.is_month_start(ts + Timedelta(days=1))
assert not freq.is_quarter_start(ts)
assert freq.is_quarter_start(ts + Timedelta(days=1))
ts = Timestamp("2017-09-30")
assert ts.dayofweek == 5
assert ts.day_of_week == 5
assert ts.is_month_end
assert not freq.is_month_end(ts)
assert freq.is_month_end(ts - Timedelta(days=1))
assert ts.is_quarter_end
assert not freq.is_quarter_end(ts)
assert freq.is_quarter_end(ts - Timedelta(days=1))
@pytest.mark.parametrize(
"attr, expected",
[
["year", 2014],
["month", 12],
["day", 31],
["hour", 23],
["minute", 59],
["second", 0],
["microsecond", 0],
["nanosecond", 0],
["dayofweek", 2],
["day_of_week", 2],
["quarter", 4],
["dayofyear", 365],
["day_of_year", 365],
["week", 1],
["daysinmonth", 31],
],
)
@pytest.mark.parametrize("tz", [None, "US/Eastern"])
def test_fields(self, attr, expected, tz):
# GH 10050
# GH 13303
ts = Timestamp("2014-12-31 23:59:00", tz=tz)
result = getattr(ts, attr)
# that we are int like
assert isinstance(result, int)
assert result == expected
@pytest.mark.parametrize("tz", [None, "US/Eastern"])
def test_millisecond_raises(self, tz):
ts = Timestamp("2014-12-31 23:59:00", tz=tz)
msg = "'Timestamp' object has no attribute 'millisecond'"
with pytest.raises(AttributeError, match=msg):
ts.millisecond
@pytest.mark.parametrize(
"start", ["is_month_start", "is_quarter_start", "is_year_start"]
)
@pytest.mark.parametrize("tz", [None, "US/Eastern"])
def test_is_start(self, start, tz):
ts = Timestamp("2014-01-01 00:00:00", tz=tz)
assert getattr(ts, start)
@pytest.mark.parametrize("end", ["is_month_end", "is_year_end", "is_quarter_end"])
@pytest.mark.parametrize("tz", [None, "US/Eastern"])
def test_is_end(self, end, tz):
ts = Timestamp("2014-12-31 23:59:59", tz=tz)
assert getattr(ts, end)
# GH 12806
@pytest.mark.parametrize(
"data",
[Timestamp("2017-08-28 23:00:00"), Timestamp("2017-08-28 23:00:00", tz="EST")],
)
# error: Unsupported operand types for + ("List[None]" and "List[str]")
@pytest.mark.parametrize(
"time_locale", [None] + tm.get_locales() # type: ignore[operator]
)
def test_names(self, data, time_locale):
# GH 17354
# Test .day_name(), .month_name
if time_locale is None:
expected_day = "Monday"
expected_month = "August"
else:
with tm.set_locale(time_locale, locale.LC_TIME):
expected_day = calendar.day_name[0].capitalize()
expected_month = calendar.month_name[8].capitalize()
result_day = data.day_name(time_locale)
result_month = data.month_name(time_locale)
# Work around https://github.com/pandas-dev/pandas/issues/22342
# different normalizations
expected_day = unicodedata.normalize("NFD", expected_day)
expected_month = unicodedata.normalize("NFD", expected_month)
result_day = unicodedata.normalize("NFD", result_day)
result_month = unicodedata.normalize("NFD", result_month)
assert result_day == expected_day
assert result_month == expected_month
# Test NaT
nan_ts = Timestamp(NaT)
assert np.isnan(nan_ts.day_name(time_locale))
assert np.isnan(nan_ts.month_name(time_locale))
def test_is_leap_year(self, tz_naive_fixture):
tz = tz_naive_fixture
if not IS64 and tz == tzlocal():
# https://github.com/dateutil/dateutil/issues/197
pytest.skip(
"tzlocal() on a 32 bit platform causes internal overflow errors"
)
# GH 13727
dt = Timestamp("2000-01-01 00:00:00", tz=tz)
assert dt.is_leap_year
assert isinstance(dt.is_leap_year, bool)
dt = Timestamp("1999-01-01 00:00:00", tz=tz)
assert not dt.is_leap_year
dt = Timestamp("2004-01-01 00:00:00", tz=tz)
assert dt.is_leap_year
dt = Timestamp("2100-01-01 00:00:00", tz=tz)
assert not dt.is_leap_year
def test_woy_boundary(self):
# make sure weeks at year boundaries are correct
d = datetime(2013, 12, 31)
result = Timestamp(d).week
expected = 1 # ISO standard
assert result == expected
d = datetime(2008, 12, 28)
result = Timestamp(d).week
expected = 52 # ISO standard
assert result == expected
d = datetime(2009, 12, 31)
result = Timestamp(d).week
expected = 53 # ISO standard
assert result == expected
d = datetime(2010, 1, 1)
result = Timestamp(d).week
expected = 53 # ISO standard
assert result == expected
d = datetime(2010, 1, 3)
result = Timestamp(d).week
expected = 53 # ISO standard
assert result == expected
result = np.array(
[
Timestamp(datetime(*args)).week
for args in [(2000, 1, 1), (2000, 1, 2), (2005, 1, 1), (2005, 1, 2)]
]
)
assert (result == [52, 52, 53, 53]).all()
def test_resolution(self):
# GH#21336, GH#21365
dt = Timestamp("2100-01-01 00:00:00.000000000")
assert dt.resolution == Timedelta(nanoseconds=1)
# Check that the attribute is available on the class, mirroring
# the stdlib datetime behavior
assert Timestamp.resolution == Timedelta(nanoseconds=1)
assert dt.as_unit("us").resolution == Timedelta(microseconds=1)
assert dt.as_unit("ms").resolution == Timedelta(milliseconds=1)
assert dt.as_unit("s").resolution == Timedelta(seconds=1)
@pytest.mark.parametrize(
"date_string, expected",
[
("0000-2-29", 1),
("0000-3-1", 2),
("1582-10-14", 3),
("-0040-1-1", 4),
("2023-06-18", 6),
],
)
def test_dow_historic(self, date_string, expected):
# GH 53738
ts = Timestamp(date_string)
dow = ts.weekday()
assert dow == expected
@given(st.datetimes())
def test_dow_parametric(self, ts):
# GH 53738
result = Timestamp(ts).weekday()
expected = ts.weekday()
assert result == expected
class TestTimestamp:
def test_default_to_stdlib_utc(self):
assert Timestamp.utcnow().tz is timezone.utc
assert Timestamp.now("UTC").tz is timezone.utc
assert Timestamp("2016-01-01", tz="UTC").tz is timezone.utc
def test_tz(self):
tstr = "2014-02-01 09:00"
ts = Timestamp(tstr)
local = ts.tz_localize("Asia/Tokyo")
assert local.hour == 9
assert local == Timestamp(tstr, tz="Asia/Tokyo")
conv = local.tz_convert("US/Eastern")
assert conv == Timestamp("2014-01-31 19:00", tz="US/Eastern")
assert conv.hour == 19
# preserves nanosecond
ts = Timestamp(tstr) + offsets.Nano(5)
local = ts.tz_localize("Asia/Tokyo")
assert local.hour == 9
assert local.nanosecond == 5
conv = local.tz_convert("US/Eastern")
assert conv.nanosecond == 5
assert conv.hour == 19
def test_utc_z_designator(self):
assert get_timezone(Timestamp("2014-11-02 01:00Z").tzinfo) is timezone.utc
def test_asm8(self):
np.random.seed(7_960_929)
ns = [Timestamp.min._value, Timestamp.max._value, 1000]
for n in ns:
assert (
Timestamp(n).asm8.view("i8") == np.datetime64(n, "ns").view("i8") == n
)
assert Timestamp("nat").asm8.view("i8") == np.datetime64("nat", "ns").view("i8")
def test_class_ops_pytz(self):
def compare(x, y):
assert int((Timestamp(x)._value - Timestamp(y)._value) / 1e9) == 0
compare(Timestamp.now(), datetime.now())
compare(Timestamp.now("UTC"), datetime.now(pytz.timezone("UTC")))
compare(Timestamp.utcnow(), datetime.utcnow())
compare(Timestamp.today(), datetime.today())
current_time = calendar.timegm(datetime.now().utctimetuple())
ts_utc = Timestamp.utcfromtimestamp(current_time)
assert ts_utc.timestamp() == current_time
compare(
Timestamp.fromtimestamp(current_time), datetime.fromtimestamp(current_time)
)
compare(
# Support tz kwarg in Timestamp.fromtimestamp
Timestamp.fromtimestamp(current_time, "UTC"),
datetime.fromtimestamp(current_time, utc),
)
compare(
# Support tz kwarg in Timestamp.fromtimestamp
Timestamp.fromtimestamp(current_time, tz="UTC"),
datetime.fromtimestamp(current_time, utc),
)
date_component = datetime.utcnow()
time_component = (date_component + timedelta(minutes=10)).time()
compare(
Timestamp.combine(date_component, time_component),
datetime.combine(date_component, time_component),
)
def test_class_ops_dateutil(self):
def compare(x, y):
assert (
int(
np.round(Timestamp(x)._value / 1e9)
- np.round(Timestamp(y)._value / 1e9)
)
== 0
)
compare(Timestamp.now(), datetime.now())
compare(Timestamp.now("UTC"), datetime.now(tzutc()))
compare(Timestamp.utcnow(), datetime.utcnow())
compare(Timestamp.today(), datetime.today())
current_time = calendar.timegm(datetime.now().utctimetuple())
ts_utc = Timestamp.utcfromtimestamp(current_time)
assert ts_utc.timestamp() == current_time
compare(
Timestamp.fromtimestamp(current_time), datetime.fromtimestamp(current_time)
)
date_component = datetime.utcnow()
time_component = (date_component + timedelta(minutes=10)).time()
compare(
Timestamp.combine(date_component, time_component),
datetime.combine(date_component, time_component),
)
def test_basics_nanos(self):
val = np.int64(946_684_800_000_000_000).view("M8[ns]")
stamp = Timestamp(val.view("i8") + 500)
assert stamp.year == 2000
assert stamp.month == 1
assert stamp.microsecond == 0
assert stamp.nanosecond == 500
# GH 14415
val = np.iinfo(np.int64).min + 80_000_000_000_000
stamp = Timestamp(val)
assert stamp.year == 1677
assert stamp.month == 9
assert stamp.day == 21
assert stamp.microsecond == 145224
assert stamp.nanosecond == 192
@pytest.mark.parametrize(
"value, check_kwargs",
[
[946688461000000000, {}],
[946688461000000000 / 1000, {"unit": "us"}],
[946688461000000000 / 1_000_000, {"unit": "ms"}],
[946688461000000000 / 1_000_000_000, {"unit": "s"}],
[10957, {"unit": "D", "h": 0}],
[
(946688461000000000 + 500000) / 1000000000,
{"unit": "s", "us": 499, "ns": 964},
],
[
(946688461000000000 + 500000000) / 1000000000,
{"unit": "s", "us": 500000},
],
[(946688461000000000 + 500000) / 1000000, {"unit": "ms", "us": 500}],
[(946688461000000000 + 500000) / 1000, {"unit": "us", "us": 500}],
[(946688461000000000 + 500000000) / 1000000, {"unit": "ms", "us": 500000}],
[946688461000000000 / 1000.0 + 5, {"unit": "us", "us": 5}],
[946688461000000000 / 1000.0 + 5000, {"unit": "us", "us": 5000}],
[946688461000000000 / 1000000.0 + 0.5, {"unit": "ms", "us": 500}],
[946688461000000000 / 1000000.0 + 0.005, {"unit": "ms", "us": 5, "ns": 5}],
[946688461000000000 / 1000000000.0 + 0.5, {"unit": "s", "us": 500000}],
[10957 + 0.5, {"unit": "D", "h": 12}],
],
)
def test_unit(self, value, check_kwargs):
def check(value, unit=None, h=1, s=1, us=0, ns=0):
stamp = Timestamp(value, unit=unit)
assert stamp.year == 2000
assert stamp.month == 1
assert stamp.day == 1
assert stamp.hour == h
if unit != "D":
assert stamp.minute == 1
assert stamp.second == s
assert stamp.microsecond == us
else:
assert stamp.minute == 0
assert stamp.second == 0
assert stamp.microsecond == 0
assert stamp.nanosecond == ns
check(value, **check_kwargs)
def test_roundtrip(self):
# test value to string and back conversions
# further test accessors
base = Timestamp("20140101 00:00:00").as_unit("ns")
result = Timestamp(base._value + Timedelta("5ms")._value)
assert result == Timestamp(f"{base}.005000")
assert result.microsecond == 5000
result = Timestamp(base._value + Timedelta("5us")._value)
assert result == Timestamp(f"{base}.000005")
assert result.microsecond == 5
result = Timestamp(base._value + Timedelta("5ns")._value)
assert result == Timestamp(f"{base}.000000005")
assert result.nanosecond == 5
assert result.microsecond == 0
result = Timestamp(base._value + Timedelta("6ms 5us")._value)
assert result == Timestamp(f"{base}.006005")
assert result.microsecond == 5 + 6 * 1000
result = Timestamp(base._value + Timedelta("200ms 5us")._value)
assert result == Timestamp(f"{base}.200005")
assert result.microsecond == 5 + 200 * 1000
def test_hash_equivalent(self):
d = {datetime(2011, 1, 1): 5}
stamp = Timestamp(datetime(2011, 1, 1))
assert d[stamp] == 5
@pytest.mark.parametrize(
"timezone, year, month, day, hour",
[["America/Chicago", 2013, 11, 3, 1], ["America/Santiago", 2021, 4, 3, 23]],
)
def test_hash_timestamp_with_fold(self, timezone, year, month, day, hour):
# see gh-33931
test_timezone = gettz(timezone)
transition_1 = Timestamp(
year=year,
month=month,
day=day,
hour=hour,
minute=0,
fold=0,
tzinfo=test_timezone,
)
transition_2 = Timestamp(
year=year,
month=month,
day=day,
hour=hour,
minute=0,
fold=1,
tzinfo=test_timezone,
)
assert hash(transition_1) == hash(transition_2)
class TestTimestampNsOperations:
def test_nanosecond_string_parsing(self):
ts = Timestamp("2013-05-01 07:15:45.123456789")
# GH 7878
expected_repr = "2013-05-01 07:15:45.123456789"
expected_value = 1_367_392_545_123_456_789
assert ts._value == expected_value
assert expected_repr in repr(ts)
ts = Timestamp("2013-05-01 07:15:45.123456789+09:00", tz="Asia/Tokyo")
assert ts._value == expected_value - 9 * 3600 * 1_000_000_000
assert expected_repr in repr(ts)
ts = Timestamp("2013-05-01 07:15:45.123456789", tz="UTC")
assert ts._value == expected_value
assert expected_repr in repr(ts)
ts = Timestamp("2013-05-01 07:15:45.123456789", tz="US/Eastern")
assert ts._value == expected_value + 4 * 3600 * 1_000_000_000
assert expected_repr in repr(ts)
# GH 10041
ts = Timestamp("20130501T071545.123456789")
assert ts._value == expected_value
assert expected_repr in repr(ts)
def test_nanosecond_timestamp(self):
# GH 7610
expected = 1_293_840_000_000_000_005
t = Timestamp("2011-01-01") + offsets.Nano(5)
assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
assert t._value == expected
assert t.nanosecond == 5
t = Timestamp(t)
assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
assert t._value == expected
assert t.nanosecond == 5
t = Timestamp("2011-01-01 00:00:00.000000005")
assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
assert t._value == expected
assert t.nanosecond == 5
expected = 1_293_840_000_000_000_010
t = t + offsets.Nano(5)
assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
assert t._value == expected
assert t.nanosecond == 10
t = Timestamp(t)
assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
assert t._value == expected
assert t.nanosecond == 10
t = Timestamp("2011-01-01 00:00:00.000000010")
assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
assert t._value == expected
assert t.nanosecond == 10
class TestTimestampToJulianDate:
def test_compare_1700(self):
r = Timestamp("1700-06-23").to_julian_date()
assert r == 2_342_145.5
def test_compare_2000(self):
r = Timestamp("2000-04-12").to_julian_date()
assert r == 2_451_646.5
def test_compare_2100(self):
r = Timestamp("2100-08-12").to_julian_date()
assert r == 2_488_292.5
def test_compare_hour01(self):
r = Timestamp("2000-08-12T01:00:00").to_julian_date()
assert r == 2_451_768.5416666666666666
def test_compare_hour13(self):
r = Timestamp("2000-08-12T13:00:00").to_julian_date()
assert r == 2_451_769.0416666666666666
class TestTimestampConversion:
def test_conversion(self):
# GH#9255
ts = Timestamp("2000-01-01").as_unit("ns")
result = ts.to_pydatetime()
expected = datetime(2000, 1, 1)
assert result == expected
assert type(result) == type(expected)
result = ts.to_datetime64()
expected = np.datetime64(ts._value, "ns")
assert result == expected
assert type(result) == type(expected)
assert result.dtype == expected.dtype
def test_to_pydatetime_fold(self):
# GH#45087
tzstr = "dateutil/usr/share/zoneinfo/America/Chicago"
ts = Timestamp(year=2013, month=11, day=3, hour=1, minute=0, fold=1, tz=tzstr)
dt = ts.to_pydatetime()
assert dt.fold == 1
def test_to_pydatetime_nonzero_nano(self):
ts = Timestamp("2011-01-01 9:00:00.123456789")
# Warn the user of data loss (nanoseconds).
with tm.assert_produces_warning(UserWarning):
expected = datetime(2011, 1, 1, 9, 0, 0, 123456)
result = ts.to_pydatetime()
assert result == expected
def test_timestamp_to_datetime(self):
stamp = Timestamp("20090415", tz="US/Eastern")
dtval = stamp.to_pydatetime()
assert stamp == dtval
assert stamp.tzinfo == dtval.tzinfo
def test_timestamp_to_datetime_dateutil(self):
stamp = Timestamp("20090415", tz="dateutil/US/Eastern")
dtval = stamp.to_pydatetime()
assert stamp == dtval
assert stamp.tzinfo == dtval.tzinfo
def test_timestamp_to_datetime_explicit_pytz(self):
stamp = Timestamp("20090415", tz=pytz.timezone("US/Eastern"))
dtval = stamp.to_pydatetime()
assert stamp == dtval
assert stamp.tzinfo == dtval.tzinfo
@td.skip_if_windows
def test_timestamp_to_datetime_explicit_dateutil(self):
stamp = Timestamp("20090415", tz=gettz("US/Eastern"))
dtval = stamp.to_pydatetime()
assert stamp == dtval
assert stamp.tzinfo == dtval.tzinfo
def test_to_datetime_bijective(self):
# Ensure that converting to datetime and back only loses precision
# by going from nanoseconds to microseconds.
exp_warning = None if Timestamp.max.nanosecond == 0 else UserWarning
with tm.assert_produces_warning(exp_warning):
pydt_max = Timestamp.max.to_pydatetime()
assert (
Timestamp(pydt_max).as_unit("ns")._value / 1000
== Timestamp.max._value / 1000
)
exp_warning = None if Timestamp.min.nanosecond == 0 else UserWarning
with tm.assert_produces_warning(exp_warning):
pydt_min = Timestamp.min.to_pydatetime()
# The next assertion can be enabled once GH#39221 is merged
# assert pydt_min < Timestamp.min # this is bc nanos are dropped
tdus = timedelta(microseconds=1)
assert pydt_min + tdus > Timestamp.min
assert (
Timestamp(pydt_min + tdus).as_unit("ns")._value / 1000
== Timestamp.min._value / 1000
)
def test_to_period_tz_warning(self):
# GH#21333 make sure a warning is issued when timezone
# info is lost
ts = Timestamp("2009-04-15 16:17:18", tz="US/Eastern")
with tm.assert_produces_warning(UserWarning):
# warning that timezone info will be lost
ts.to_period("D")
def test_to_numpy_alias(self):
# GH 24653: alias .to_numpy() for scalars
ts = Timestamp(datetime.now())
assert ts.to_datetime64() == ts.to_numpy()
# GH#44460
msg = "dtype and copy arguments are ignored"
with pytest.raises(ValueError, match=msg):
ts.to_numpy("M8[s]")
with pytest.raises(ValueError, match=msg):
ts.to_numpy(copy=True)
class SubDatetime(datetime):
pass
@pytest.mark.parametrize(
"lh,rh",
[
(SubDatetime(2000, 1, 1), Timedelta(hours=1)),
(Timedelta(hours=1), SubDatetime(2000, 1, 1)),
],
)
def test_dt_subclass_add_timedelta(lh, rh):
# GH#25851
# ensure that subclassed datetime works for
# Timedelta operations
result = lh + rh
expected = SubDatetime(2000, 1, 1, 1)
assert result == expected
class TestNonNano:
@pytest.fixture(params=["s", "ms", "us"])
def reso(self, request):
return request.param
@pytest.fixture
def dt64(self, reso):
# cases that are in-bounds for nanosecond, so we can compare against
# the existing implementation.
return np.datetime64("2016-01-01", reso)
@pytest.fixture
def ts(self, dt64):
return Timestamp._from_dt64(dt64)
@pytest.fixture
def ts_tz(self, ts, tz_aware_fixture):
tz = maybe_get_tz(tz_aware_fixture)
return Timestamp._from_value_and_reso(ts._value, ts._creso, tz)
def test_non_nano_construction(self, dt64, ts, reso):
assert ts._value == dt64.view("i8")
if reso == "s":
assert ts._creso == NpyDatetimeUnit.NPY_FR_s.value
elif reso == "ms":
assert ts._creso == NpyDatetimeUnit.NPY_FR_ms.value
elif reso == "us":
assert ts._creso == NpyDatetimeUnit.NPY_FR_us.value
def test_non_nano_fields(self, dt64, ts):
alt = Timestamp(dt64)
assert ts.year == alt.year
assert ts.month == alt.month
assert ts.day == alt.day
assert ts.hour == ts.minute == ts.second == ts.microsecond == 0
assert ts.nanosecond == 0
assert ts.to_julian_date() == alt.to_julian_date()
assert ts.weekday() == alt.weekday()
assert ts.isoweekday() == alt.isoweekday()
def test_start_end_fields(self, ts):
assert ts.is_year_start
assert ts.is_quarter_start
assert ts.is_month_start
assert not ts.is_year_end
assert not ts.is_month_end
assert not ts.is_month_end
# 2016-01-01 is a Friday, so is year/quarter/month start with this freq
assert ts.is_year_start
assert ts.is_quarter_start
assert ts.is_month_start
assert not ts.is_year_end
assert not ts.is_month_end
assert not ts.is_month_end
def test_day_name(self, dt64, ts):
alt = Timestamp(dt64)
assert ts.day_name() == alt.day_name()
def test_month_name(self, dt64, ts):
alt = Timestamp(dt64)
assert ts.month_name() == alt.month_name()
def test_tz_convert(self, ts):
ts = Timestamp._from_value_and_reso(ts._value, ts._creso, utc)
tz = pytz.timezone("US/Pacific")
result = ts.tz_convert(tz)
assert isinstance(result, Timestamp)
assert result._creso == ts._creso
assert tz_compare(result.tz, tz)
def test_repr(self, dt64, ts):
alt = Timestamp(dt64)
assert str(ts) == str(alt)
assert repr(ts) == repr(alt)
def test_comparison(self, dt64, ts):
alt = Timestamp(dt64)
assert ts == dt64
assert dt64 == ts
assert ts == alt
assert alt == ts
assert not ts != dt64
assert not dt64 != ts
assert not ts != alt
assert not alt != ts
assert not ts < dt64
assert not dt64 < ts
assert not ts < alt
assert not alt < ts
assert not ts > dt64
assert not dt64 > ts
assert not ts > alt
assert not alt > ts
assert ts >= dt64
assert dt64 >= ts
assert ts >= alt
assert alt >= ts
assert ts <= dt64
assert dt64 <= ts
assert ts <= alt
assert alt <= ts
def test_cmp_cross_reso(self):
# numpy gets this wrong because of silent overflow
dt64 = np.datetime64(9223372800, "s") # won't fit in M8[ns]
ts = Timestamp._from_dt64(dt64)
# subtracting 3600*24 gives a datetime64 that _can_ fit inside the
# nanosecond implementation bounds.
other = Timestamp(dt64 - 3600 * 24).as_unit("ns")
assert other < ts
assert other.asm8 > ts.asm8 # <- numpy gets this wrong
assert ts > other
assert ts.asm8 < other.asm8 # <- numpy gets this wrong
assert not other == ts
assert ts != other
@pytest.mark.xfail(reason="Dispatches to np.datetime64 which is wrong")
def test_cmp_cross_reso_reversed_dt64(self):
dt64 = np.datetime64(106752, "D") # won't fit in M8[ns]
ts = Timestamp._from_dt64(dt64)
other = Timestamp(dt64 - 1)
assert other.asm8 < ts
def test_pickle(self, ts, tz_aware_fixture):
tz = tz_aware_fixture
tz = maybe_get_tz(tz)
ts = Timestamp._from_value_and_reso(ts._value, ts._creso, tz)
rt = tm.round_trip_pickle(ts)
assert rt._creso == ts._creso
assert rt == ts
def test_normalize(self, dt64, ts):
alt = Timestamp(dt64)
result = ts.normalize()
assert result._creso == ts._creso
assert result == alt.normalize()
def test_asm8(self, dt64, ts):
rt = ts.asm8
assert rt == dt64
assert rt.dtype == dt64.dtype
def test_to_numpy(self, dt64, ts):
res = ts.to_numpy()
assert res == dt64
assert res.dtype == dt64.dtype
def test_to_datetime64(self, dt64, ts):
res = ts.to_datetime64()
assert res == dt64
assert res.dtype == dt64.dtype
def test_timestamp(self, dt64, ts):
alt = Timestamp(dt64)
assert ts.timestamp() == alt.timestamp()
def test_to_period(self, dt64, ts):
alt = Timestamp(dt64)
assert ts.to_period("D") == alt.to_period("D")
@pytest.mark.parametrize(
"td", [timedelta(days=4), Timedelta(days=4), np.timedelta64(4, "D")]
)
def test_addsub_timedeltalike_non_nano(self, dt64, ts, td):
exp_reso = max(ts._creso, Timedelta(td)._creso)
result = ts - td
expected = Timestamp(dt64) - td
assert isinstance(result, Timestamp)
assert result._creso == exp_reso
assert result == expected
result = ts + td
expected = Timestamp(dt64) + td
assert isinstance(result, Timestamp)
assert result._creso == exp_reso
assert result == expected
result = td + ts
expected = td + Timestamp(dt64)
assert isinstance(result, Timestamp)
assert result._creso == exp_reso
assert result == expected
def test_addsub_offset(self, ts_tz):
# specifically non-Tick offset
off = offsets.YearEnd(1)
result = ts_tz + off
assert isinstance(result, Timestamp)
assert result._creso == ts_tz._creso
if ts_tz.month == 12 and ts_tz.day == 31:
assert result.year == ts_tz.year + 1
else:
assert result.year == ts_tz.year
assert result.day == 31
assert result.month == 12
assert tz_compare(result.tz, ts_tz.tz)
result = ts_tz - off
assert isinstance(result, Timestamp)
assert result._creso == ts_tz._creso
assert result.year == ts_tz.year - 1
assert result.day == 31
assert result.month == 12
assert tz_compare(result.tz, ts_tz.tz)
def test_sub_datetimelike_mismatched_reso(self, ts_tz):
# case with non-lossy rounding
ts = ts_tz
# choose a unit for `other` that doesn't match ts_tz's;
# this construction ensures we get cases with other._creso < ts._creso
# and cases with other._creso > ts._creso
unit = {
NpyDatetimeUnit.NPY_FR_us.value: "ms",
NpyDatetimeUnit.NPY_FR_ms.value: "s",
NpyDatetimeUnit.NPY_FR_s.value: "us",
}[ts._creso]
other = ts.as_unit(unit)
assert other._creso != ts._creso
result = ts - other
assert isinstance(result, Timedelta)
assert result._value == 0
assert result._creso == max(ts._creso, other._creso)
result = other - ts
assert isinstance(result, Timedelta)
assert result._value == 0
assert result._creso == max(ts._creso, other._creso)
if ts._creso < other._creso:
# Case where rounding is lossy
other2 = other + Timedelta._from_value_and_reso(1, other._creso)
exp = ts.as_unit(other.unit) - other2
res = ts - other2
assert res == exp
assert res._creso == max(ts._creso, other._creso)
res = other2 - ts
assert res == -exp
assert res._creso == max(ts._creso, other._creso)
else:
ts2 = ts + Timedelta._from_value_and_reso(1, ts._creso)
exp = ts2 - other.as_unit(ts2.unit)
res = ts2 - other
assert res == exp
assert res._creso == max(ts._creso, other._creso)
res = other - ts2
assert res == -exp
assert res._creso == max(ts._creso, other._creso)
def test_sub_timedeltalike_mismatched_reso(self, ts_tz):
# case with non-lossy rounding
ts = ts_tz
# choose a unit for `other` that doesn't match ts_tz's;
# this construction ensures we get cases with other._creso < ts._creso
# and cases with other._creso > ts._creso
unit = {
NpyDatetimeUnit.NPY_FR_us.value: "ms",
NpyDatetimeUnit.NPY_FR_ms.value: "s",
NpyDatetimeUnit.NPY_FR_s.value: "us",
}[ts._creso]
other = Timedelta(0).as_unit(unit)
assert other._creso != ts._creso
result = ts + other
assert isinstance(result, Timestamp)
assert result == ts
assert result._creso == max(ts._creso, other._creso)
result = other + ts
assert isinstance(result, Timestamp)
assert result == ts
assert result._creso == max(ts._creso, other._creso)
if ts._creso < other._creso:
# Case where rounding is lossy
other2 = other + Timedelta._from_value_and_reso(1, other._creso)
exp = ts.as_unit(other.unit) + other2
res = ts + other2
assert res == exp
assert res._creso == max(ts._creso, other._creso)
res = other2 + ts
assert res == exp
assert res._creso == max(ts._creso, other._creso)
else:
ts2 = ts + Timedelta._from_value_and_reso(1, ts._creso)
exp = ts2 + other.as_unit(ts2.unit)
res = ts2 + other
assert res == exp
assert res._creso == max(ts._creso, other._creso)
res = other + ts2
assert res == exp