forked from matplotlib/matplotlib
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathdates.py
More file actions
executable file
·1580 lines (1269 loc) · 52.2 KB
/
dates.py
File metadata and controls
executable file
·1580 lines (1269 loc) · 52.2 KB
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
#!/usr/bin/env python
"""
Matplotlib provides sophisticated date plotting capabilities, standing on the
shoulders of python :mod:`datetime`, the add-on modules :mod:`pytz` and
:mod:`dateutil`. :class:`datetime` objects are converted to floating point
numbers which represent time in days since 0001-01-01 UTC, plus 1. For
example, 0001-01-01, 06:00 is 1.25, not 0.25. The helper functions
:func:`date2num`, :func:`num2date` and :func:`drange` are used to facilitate
easy conversion to and from :mod:`datetime` and numeric ranges.
.. note::
Like Python's datetime, mpl uses the Gregorian calendar for all
conversions between dates and floating point numbers. This practice
is not universal, and calendar differences can cause confusing
differences between what Python and mpl give as the number of days
since 0001-01-01 and what other software and databases yield. For
example, the US Naval Observatory uses a calendar that switches
from Julian to Gregorian in October, 1582. Hence, using their
calculator, the number of days between 0001-01-01 and 2006-04-01 is
732403, whereas using the Gregorian calendar via the datetime
module we find::
In [31]:date(2006,4,1).toordinal() - date(1,1,1).toordinal()
Out[31]:732401
A wide range of specific and general purpose date tick locators and
formatters are provided in this module. See
:mod:`matplotlib.ticker` for general information on tick locators
and formatters. These are described below.
All the matplotlib date converters, tickers and formatters are
timezone aware, and the default timezone is given by the timezone
parameter in your :file:`matplotlibrc` file. If you leave out a
:class:`tz` timezone instance, the default from your rc file will be
assumed. If you want to use a custom time zone, pass a
:class:`pytz.timezone` instance with the tz keyword argument to
:func:`num2date`, :func:`plot_date`, and any custom date tickers or
locators you create. See `pytz <http://pythonhosted.org/pytz/>`_ for
information on :mod:`pytz` and timezone handling.
The `dateutil module <https://dateutil.readthedocs.org>`_ provides
additional code to handle date ticking, making it easy to place ticks
on any kinds of dates. See examples below.
Date tickers
------------
Most of the date tickers can locate single or multiple values. For
example::
# import constants for the days of the week
from matplotlib.dates import MO, TU, WE, TH, FR, SA, SU
# tick on mondays every week
loc = WeekdayLocator(byweekday=MO, tz=tz)
# tick on mondays and saturdays
loc = WeekdayLocator(byweekday=(MO, SA))
In addition, most of the constructors take an interval argument::
# tick on mondays every second week
loc = WeekdayLocator(byweekday=MO, interval=2)
The rrule locator allows completely general date ticking::
# tick every 5th easter
rule = rrulewrapper(YEARLY, byeaster=1, interval=5)
loc = RRuleLocator(rule)
Here are all the date tickers:
* :class:`MinuteLocator`: locate minutes
* :class:`HourLocator`: locate hours
* :class:`DayLocator`: locate specifed days of the month
* :class:`WeekdayLocator`: Locate days of the week, e.g., MO, TU
* :class:`MonthLocator`: locate months, e.g., 7 for july
* :class:`YearLocator`: locate years that are multiples of base
* :class:`RRuleLocator`: locate using a
:class:`matplotlib.dates.rrulewrapper`. The
:class:`rrulewrapper` is a simple wrapper around a
:class:`dateutil.rrule` (`dateutil
<https://dateutil.readthedocs.org>`_) which allow almost
arbitrary date tick specifications. See `rrule example
<../examples/pylab_examples/date_demo_rrule.html>`_.
* :class:`AutoDateLocator`: On autoscale, this class picks the best
:class:`MultipleDateLocator` to set the view limits and the tick
locations.
Date formatters
---------------
Here all all the date formatters:
* :class:`AutoDateFormatter`: attempts to figure out the best format
to use. This is most useful when used with the :class:`AutoDateLocator`.
* :class:`DateFormatter`: use :func:`strftime` format strings
* :class:`IndexDateFormatter`: date plots with implicit *x*
indexing.
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from matplotlib.externals import six
from matplotlib.externals.six.moves import zip
from matplotlib import rcParams
import re
import time
import math
import datetime
import warnings
from dateutil.rrule import (rrule, MO, TU, WE, TH, FR, SA, SU, YEARLY,
MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY,
SECONDLY)
from dateutil.relativedelta import relativedelta
import dateutil.parser
import numpy as np
import matplotlib
import matplotlib.units as units
import matplotlib.cbook as cbook
import matplotlib.ticker as ticker
__all__ = ('date2num', 'num2date', 'drange', 'epoch2num',
'num2epoch', 'mx2num', 'DateFormatter',
'IndexDateFormatter', 'AutoDateFormatter', 'DateLocator',
'RRuleLocator', 'AutoDateLocator', 'YearLocator',
'MonthLocator', 'WeekdayLocator',
'DayLocator', 'HourLocator', 'MinuteLocator',
'SecondLocator', 'MicrosecondLocator',
'rrule', 'MO', 'TU', 'WE', 'TH', 'FR', 'SA', 'SU',
'YEARLY', 'MONTHLY', 'WEEKLY', 'DAILY',
'HOURLY', 'MINUTELY', 'SECONDLY', 'MICROSECONDLY', 'relativedelta',
'seconds', 'minutes', 'hours', 'weeks')
# Make a simple UTC instance so we don't always have to import
# pytz. From the python datetime library docs:
class _UTC(datetime.tzinfo):
"""UTC"""
def utcoffset(self, dt):
return datetime.timedelta(0)
def tzname(self, dt):
return "UTC"
def dst(self, dt):
return datetime.timedelta(0)
UTC = _UTC()
def _get_rc_timezone():
"""
Retrieve the preferred timeszone from the rcParams dictionary.
"""
s = matplotlib.rcParams['timezone']
if s == 'UTC':
return UTC
import pytz
return pytz.timezone(s)
"""
Time-related constants.
"""
EPOCH_OFFSET = float(datetime.datetime(1970, 1, 1).toordinal())
JULIAN_OFFSET = 1721424.5 # Julian date at 0001-01-01
MICROSECONDLY = SECONDLY + 1
HOURS_PER_DAY = 24.
MIN_PER_HOUR = 60.
SEC_PER_MIN = 60.
MONTHS_PER_YEAR = 12.
DAYS_PER_WEEK = 7.
DAYS_PER_MONTH = 30.
DAYS_PER_YEAR = 365.0
MINUTES_PER_DAY = MIN_PER_HOUR * HOURS_PER_DAY
SEC_PER_HOUR = SEC_PER_MIN * MIN_PER_HOUR
SEC_PER_DAY = SEC_PER_HOUR * HOURS_PER_DAY
SEC_PER_WEEK = SEC_PER_DAY * DAYS_PER_WEEK
MUSECONDS_PER_DAY = 1e6 * SEC_PER_DAY
MONDAY, TUESDAY, WEDNESDAY, THURSDAY, FRIDAY, SATURDAY, SUNDAY = (
MO, TU, WE, TH, FR, SA, SU)
WEEKDAYS = (MONDAY, TUESDAY, WEDNESDAY, THURSDAY, FRIDAY, SATURDAY, SUNDAY)
def _to_ordinalf(dt):
"""
Convert :mod:`datetime` or :mod:`date` to the Gregorian date as UTC float
days, preserving hours, minutes, seconds and microseconds. Return value
is a :func:`float`.
"""
if hasattr(dt, 'tzinfo') and dt.tzinfo is not None:
delta = dt.tzinfo.utcoffset(dt)
if delta is not None:
dt -= delta
base = float(dt.toordinal())
if isinstance(dt, datetime.datetime):
# Get a datetime object at midnight in the same time zone as dt.
cdate = dt.date()
midnight_time = datetime.time(0, 0, 0, tzinfo=dt.tzinfo)
rdt = datetime.datetime.combine(cdate, midnight_time)
td_remainder = _total_seconds(dt - rdt)
if td_remainder > 0:
base += td_remainder / SEC_PER_DAY
return base
# a version of _to_ordinalf that can operate on numpy arrays
_to_ordinalf_np_vectorized = np.vectorize(_to_ordinalf)
try:
# Available as a native method in Python >= 2.7.
_total_seconds = datetime.timedelta.total_seconds
except AttributeError:
def _total_seconds(tdelta):
"""
Alias providing support for datetime.timedelta.total_seconds() function
calls even in Python < 2.7.
The input `tdelta` is a datetime.timedelta object, and returns a float
containing the total number of seconds representing the `tdelta`
duration. For large durations (> 270 on most platforms), this loses
microsecond accuracy.
"""
return (tdelta.microseconds +
(tdelta.seconds + tdelta.days * SEC_PER_DAY) * 1e6) * 1e-6
def _from_ordinalf(x, tz=None):
"""
Convert Gregorian float of the date, preserving hours, minutes,
seconds and microseconds. Return value is a :class:`datetime`.
The input date `x` is a float in ordinal days at UTC, and the output will
be the specified :class:`datetime` object corresponding to that time in
timezone `tz`, or if `tz` is `None`, in the timezone specified in
`rcParams['timezone']`.
"""
if tz is None:
tz = _get_rc_timezone()
ix = int(x)
dt = datetime.datetime.fromordinal(ix).replace(tzinfo=UTC)
remainder = float(x) - ix
# Round down to the nearest microsecond.
dt += datetime.timedelta(microseconds=int(remainder * MUSECONDS_PER_DAY))
# Compensate for rounding errors
if dt.microsecond < 10:
dt = dt.replace(microsecond=0)
elif dt.microsecond > 999990:
dt += datetime.timedelta(microseconds=1e6 - dt.microsecond)
return dt.astimezone(tz)
# a version of _from_ordinalf that can operate on numpy arrays
_from_ordinalf_np_vectorized = np.vectorize(_from_ordinalf)
class strpdate2num(object):
"""
Use this class to parse date strings to matplotlib datenums when
you know the date format string of the date you are parsing. See
:file:`examples/load_demo.py`.
"""
def __init__(self, fmt):
""" fmt: any valid strptime format is supported """
self.fmt = fmt
def __call__(self, s):
"""s : string to be converted
return value: a date2num float
"""
return date2num(datetime.datetime(*time.strptime(s, self.fmt)[:6]))
class bytespdate2num(strpdate2num):
"""
Use this class to parse date strings to matplotlib datenums when
you know the date format string of the date you are parsing. See
:file:`examples/load_demo.py`.
"""
def __init__(self, fmt, encoding='utf-8'):
"""
Args:
fmt: any valid strptime format is supported
encoding: encoding to use on byte input (default: 'utf-8')
"""
super(bytespdate2num, self).__init__(fmt)
self.encoding = encoding
def __call__(self, b):
"""
Args:
b: byte input to be converted
Returns:
A date2num float
"""
s = b.decode(self.encoding)
return super(bytespdate2num, self).__call__(s)
# a version of dateutil.parser.parse that can operate on nump0y arrays
_dateutil_parser_parse_np_vectorized = np.vectorize(dateutil.parser.parse)
def datestr2num(d, default=None):
"""
Convert a date string to a datenum using
:func:`dateutil.parser.parse`.
Parameters
----------
d : string or sequence of strings
The dates to convert.
default : datetime instance
The default date to use when fields are missing in `d`.
"""
if cbook.is_string_like(d):
dt = dateutil.parser.parse(d, default=default)
return date2num(dt)
else:
if default is not None:
d = [dateutil.parser.parse(s, default=default) for s in d]
d = np.asarray(d)
if not d.size:
return d
return date2num(_dateutil_parser_parse_np_vectorized(d))
def date2num(d):
"""
*d* is either a :class:`datetime` instance or a sequence of datetimes.
Return value is a floating point number (or sequence of floats)
which gives the number of days (fraction part represents hours,
minutes, seconds) since 0001-01-01 00:00:00 UTC, *plus* *one*.
The addition of one here is a historical artifact. Also, note
that the Gregorian calendar is assumed; this is not universal
practice. For details, see the module docstring.
"""
if not cbook.iterable(d):
return _to_ordinalf(d)
else:
d = np.asarray(d)
if not d.size:
return d
return _to_ordinalf_np_vectorized(d)
def julian2num(j):
"""
Convert a Julian date (or sequence) to a matplotlib date (or sequence).
"""
if cbook.iterable(j):
j = np.asarray(j)
return j - JULIAN_OFFSET
def num2julian(n):
"""
Convert a matplotlib date (or sequence) to a Julian date (or sequence).
"""
if cbook.iterable(n):
n = np.asarray(n)
return n + JULIAN_OFFSET
def num2date(x, tz=None):
"""
*x* is a float value which gives the number of days
(fraction part represents hours, minutes, seconds) since
0001-01-01 00:00:00 UTC *plus* *one*.
The addition of one here is a historical artifact. Also, note
that the Gregorian calendar is assumed; this is not universal
practice. For details, see the module docstring.
Return value is a :class:`datetime` instance in timezone *tz* (default to
rcparams TZ value).
If *x* is a sequence, a sequence of :class:`datetime` objects will
be returned.
"""
if tz is None:
tz = _get_rc_timezone()
if not cbook.iterable(x):
return _from_ordinalf(x, tz)
else:
x = np.asarray(x)
if not x.size:
return x
return _from_ordinalf_np_vectorized(x, tz).tolist()
def drange(dstart, dend, delta):
"""
Return a date range as float Gregorian ordinals. *dstart* and
*dend* are :class:`datetime` instances. *delta* is a
:class:`datetime.timedelta` instance.
"""
f1 = _to_ordinalf(dstart)
f2 = _to_ordinalf(dend)
step = _total_seconds(delta) / SEC_PER_DAY
# calculate the difference between dend and dstart in times of delta
num = int(np.ceil((f2 - f1) / step))
# calculate end of the interval which will be generated
dinterval_end = dstart + num * delta
# ensure, that an half open interval will be generated [dstart, dend)
if dinterval_end >= dend:
# if the endpoint is greated than dend, just subtract one delta
dinterval_end -= delta
num -= 1
f2 = _to_ordinalf(dinterval_end) # new float-endpoint
return np.linspace(f1, f2, num + 1)
### date tickers and formatters ###
class DateFormatter(ticker.Formatter):
"""
Tick location is seconds since the epoch. Use a :func:`strftime`
format string.
Python only supports :mod:`datetime` :func:`strftime` formatting
for years greater than 1900. Thanks to Andrew Dalke, Dalke
Scientific Software who contributed the :func:`strftime` code
below to include dates earlier than this year.
"""
illegal_s = re.compile(r"((^|[^%])(%%)*%s)")
def __init__(self, fmt, tz=None):
"""
*fmt* is a :func:`strftime` format string; *tz* is the
:class:`tzinfo` instance.
"""
if tz is None:
tz = _get_rc_timezone()
self.fmt = fmt
self.tz = tz
def __call__(self, x, pos=0):
if x == 0:
raise ValueError('DateFormatter found a value of x=0, which is '
'an illegal date. This usually occurs because '
'you have not informed the axis that it is '
'plotting dates, e.g., with ax.xaxis_date()')
dt = num2date(x, self.tz)
return self.strftime(dt, self.fmt)
def set_tzinfo(self, tz):
self.tz = tz
def _replace_common_substr(self, s1, s2, sub1, sub2, replacement):
"""Helper function for replacing substrings sub1 and sub2
located at the same indexes in strings s1 and s2 respectively,
with the string replacement. It is expected that sub1 and sub2
have the same length. Returns the pair s1, s2 after the
substitutions.
"""
# Find common indexes of substrings sub1 in s1 and sub2 in s2
# and make substitutions inplace. Because this is inplace,
# it is okay if len(replacement) != len(sub1), len(sub2).
i = 0
while True:
j = s1.find(sub1, i)
if j == -1:
break
i = j + 1
if s2[j:j + len(sub2)] != sub2:
continue
s1 = s1[:j] + replacement + s1[j + len(sub1):]
s2 = s2[:j] + replacement + s2[j + len(sub2):]
return s1, s2
def strftime_pre_1900(self, dt, fmt=None):
"""Call time.strftime for years before 1900 by rolling
forward a multiple of 28 years.
*fmt* is a :func:`strftime` format string.
Dalke: I hope I did this math right. Every 28 years the
calendar repeats, except through century leap years excepting
the 400 year leap years. But only if you're using the Gregorian
calendar.
"""
if fmt is None:
fmt = self.fmt
# Since python's time module's strftime implementation does not
# support %f microsecond (but the datetime module does), use a
# regular expression substitution to replace instances of %f.
# Note that this can be useful since python's floating-point
# precision representation for datetime causes precision to be
# more accurate closer to year 0 (around the year 2000, precision
# can be at 10s of microseconds).
fmt = re.sub(r'((^|[^%])(%%)*)%f',
r'\g<1>{0:06d}'.format(dt.microsecond), fmt)
year = dt.year
# For every non-leap year century, advance by
# 6 years to get into the 28-year repeat cycle
delta = 2000 - year
off = 6 * (delta // 100 + delta // 400)
year = year + off
# Move to between the years 1973 and 2000
year1 = year + ((2000 - year) // 28) * 28
year2 = year1 + 28
timetuple = dt.timetuple()
# Generate timestamp string for year and year+28
s1 = time.strftime(fmt, (year1,) + timetuple[1:])
s2 = time.strftime(fmt, (year2,) + timetuple[1:])
# Replace instances of respective years (both 2-digit and 4-digit)
# that are located at the same indexes of s1, s2 with dt's year.
# Note that C++'s strftime implementation does not use padded
# zeros or padded whitespace for %y or %Y for years before 100, but
# uses padded zeros for %x. (For example, try the runnable examples
# with .tm_year in the interval [-1900, -1800] on
# http://en.cppreference.com/w/c/chrono/strftime.) For ease of
# implementation, we always use padded zeros for %y, %Y, and %x.
s1, s2 = self._replace_common_substr(s1, s2,
"{0:04d}".format(year1),
"{0:04d}".format(year2),
"{0:04d}".format(dt.year))
s1, s2 = self._replace_common_substr(s1, s2,
"{0:02d}".format(year1 % 100),
"{0:02d}".format(year2 % 100),
"{0:02d}".format(dt.year % 100))
return cbook.unicode_safe(s1)
def strftime(self, dt, fmt=None):
"""Refer to documentation for datetime.strftime.
*fmt* is a :func:`strftime` format string.
Warning: For years before 1900, depending upon the current
locale it is possible that the year displayed with %x might
be incorrect. For years before 100, %y and %Y will yield
zero-padded strings.
"""
if fmt is None:
fmt = self.fmt
fmt = self.illegal_s.sub(r"\1", fmt)
fmt = fmt.replace("%s", "s")
if dt.year >= 1900:
# Note: in python 3.3 this is okay for years >= 1000,
# refer to http://bugs.python.org/issue177742
return cbook.unicode_safe(dt.strftime(fmt))
return self.strftime_pre_1900(dt, fmt)
class IndexDateFormatter(ticker.Formatter):
"""
Use with :class:`~matplotlib.ticker.IndexLocator` to cycle format
strings by index.
"""
def __init__(self, t, fmt, tz=None):
"""
*t* is a sequence of dates (floating point days). *fmt* is a
:func:`strftime` format string.
"""
if tz is None:
tz = _get_rc_timezone()
self.t = t
self.fmt = fmt
self.tz = tz
def __call__(self, x, pos=0):
'Return the label for time *x* at position *pos*'
ind = int(np.round(x))
if ind >= len(self.t) or ind <= 0:
return ''
dt = num2date(self.t[ind], self.tz)
return cbook.unicode_safe(dt.strftime(self.fmt))
class AutoDateFormatter(ticker.Formatter):
"""
This class attempts to figure out the best format to use. This is
most useful when used with the :class:`AutoDateLocator`.
The AutoDateFormatter has a scale dictionary that maps the scale
of the tick (the distance in days between one major tick) and a
format string. The default looks like this::
self.scaled = {
DAYS_PER_YEAR: rcParams['date.autoformat.year'],
DAYS_PER_MONTH: rcParams['date.autoformat.month'],
1.0: rcParams['date.autoformat.day'],
1. / HOURS_PER_DAY: rcParams['date.autoformat.hour'],
1. / (MINUTES_PER_DAY): rcParams['date.autoformat.minute'],
1. / (SEC_PER_DAY): rcParams['date.autoformat.second']}
The algorithm picks the key in the dictionary that is >= the
current scale and uses that format string. You can customize this
dictionary by doing::
>>> locator = AutoDateLocator()
>>> formatter = AutoDateFormatter(locator)
>>> formatter.scaled[1/(24.*60.)] = '%M:%S' # only show min and sec
A custom :class:`~matplotlib.ticker.FuncFormatter` can also be used.
The following example shows how to use a custom format function to strip
trailing zeros from decimal seconds and adds the date to the first
ticklabel::
>>> def my_format_function(x, pos=None):
... x = matplotlib.dates.num2date(x)
... if pos == 0:
... fmt = '%D %H:%M:%S.%f'
... else:
... fmt = '%H:%M:%S.%f'
... label = x.strftime(fmt)
... label = label.rstrip("0")
... label = label.rstrip(".")
... return label
>>> from matplotlib.ticker import FuncFormatter
>>> formatter.scaled[1/(24.*60.)] = FuncFormatter(my_format_function)
"""
# This can be improved by providing some user-level direction on
# how to choose the best format (precedence, etc...)
# Perhaps a 'struct' that has a field for each time-type where a
# zero would indicate "don't show" and a number would indicate
# "show" with some sort of priority. Same priorities could mean
# show all with the same priority.
# Or more simply, perhaps just a format string for each
# possibility...
def __init__(self, locator, tz=None, defaultfmt='%Y-%m-%d'):
"""
Autoformat the date labels. The default format is the one to use
if none of the values in ``self.scaled`` are greater than the unit
returned by ``locator._get_unit()``.
"""
self._locator = locator
self._tz = tz
self.defaultfmt = defaultfmt
self._formatter = DateFormatter(self.defaultfmt, tz)
self.scaled = {DAYS_PER_YEAR: rcParams['date.autoformatter.year'],
DAYS_PER_MONTH: rcParams['date.autoformatter.month'],
1.0: rcParams['date.autoformatter.day'],
1. / HOURS_PER_DAY: rcParams['date.autoformatter.hour'],
1. / (MINUTES_PER_DAY):
rcParams['date.autoformatter.minute'],
1. / (SEC_PER_DAY):
rcParams['date.autoformatter.second']}
def __call__(self, x, pos=None):
locator_unit_scale = float(self._locator._get_unit())
fmt = self.defaultfmt
# Pick the first scale which is greater than the locator unit.
for possible_scale in sorted(self.scaled):
if possible_scale >= locator_unit_scale:
fmt = self.scaled[possible_scale]
break
if isinstance(fmt, six.string_types):
self._formatter = DateFormatter(fmt, self._tz)
result = self._formatter(x, pos)
elif six.callable(fmt):
result = fmt(x, pos)
else:
raise TypeError('Unexpected type passed to {0!r}.'.format(self))
return result
class rrulewrapper(object):
def __init__(self, freq, **kwargs):
self._construct = kwargs.copy()
self._construct["freq"] = freq
self._rrule = rrule(**self._construct)
def set(self, **kwargs):
self._construct.update(kwargs)
self._rrule = rrule(**self._construct)
def __getattr__(self, name):
if name in self.__dict__:
return self.__dict__[name]
return getattr(self._rrule, name)
class DateLocator(ticker.Locator):
"""
Determines the tick locations when plotting dates.
"""
hms0d = {'byhour': 0, 'byminute': 0, 'bysecond': 0}
def __init__(self, tz=None):
"""
*tz* is a :class:`tzinfo` instance.
"""
if tz is None:
tz = _get_rc_timezone()
self.tz = tz
def set_tzinfo(self, tz):
"""
Set time zone info.
"""
self.tz = tz
def datalim_to_dt(self):
"""
Convert axis data interval to datetime objects.
"""
dmin, dmax = self.axis.get_data_interval()
if dmin > dmax:
dmin, dmax = dmax, dmin
return num2date(dmin, self.tz), num2date(dmax, self.tz)
def viewlim_to_dt(self):
"""
Converts the view interval to datetime objects.
"""
vmin, vmax = self.axis.get_view_interval()
if vmin > vmax:
vmin, vmax = vmax, vmin
return num2date(vmin, self.tz), num2date(vmax, self.tz)
def _get_unit(self):
"""
Return how many days a unit of the locator is; used for
intelligent autoscaling.
"""
return 1
def _get_interval(self):
"""
Return the number of units for each tick.
"""
return 1
def nonsingular(self, vmin, vmax):
"""
Given the proposed upper and lower extent, adjust the range
if it is too close to being singular (i.e. a range of ~0).
"""
unit = self._get_unit()
interval = self._get_interval()
if abs(vmax - vmin) < 1e-6:
vmin -= 2 * unit * interval
vmax += 2 * unit * interval
return vmin, vmax
class RRuleLocator(DateLocator):
# use the dateutil rrule instance
def __init__(self, o, tz=None):
DateLocator.__init__(self, tz)
self.rule = o
def __call__(self):
# if no data have been set, this will tank with a ValueError
try:
dmin, dmax = self.viewlim_to_dt()
except ValueError:
return []
return self.tick_values(dmin, dmax)
def tick_values(self, vmin, vmax):
delta = relativedelta(vmax, vmin)
# We need to cap at the endpoints of valid datetime
try:
start = vmin - delta
except ValueError:
start = _from_ordinalf(1.0)
try:
stop = vmax + delta
except ValueError:
# The magic number!
stop = _from_ordinalf(3652059.9999999)
self.rule.set(dtstart=start, until=stop)
# estimate the number of ticks very approximately so we don't
# have to do a very expensive (and potentially near infinite)
# 'between' calculation, only to find out it will fail.
nmax, nmin = date2num((vmax, vmin))
estimate = (nmax - nmin) / (self._get_unit() * self._get_interval())
# This estimate is only an estimate, so be really conservative
# about bailing...
if estimate > self.MAXTICKS * 2:
raise RuntimeError(
'RRuleLocator estimated to generate %d ticks from %s to %s: '
'exceeds Locator.MAXTICKS * 2 (%d) ' % (estimate, vmin, vmax,
self.MAXTICKS * 2))
dates = self.rule.between(vmin, vmax, True)
if len(dates) == 0:
return date2num([vmin, vmax])
return self.raise_if_exceeds(date2num(dates))
def _get_unit(self):
"""
Return how many days a unit of the locator is; used for
intelligent autoscaling.
"""
freq = self.rule._rrule._freq
return self.get_unit_generic(freq)
@staticmethod
def get_unit_generic(freq):
if freq == YEARLY:
return DAYS_PER_YEAR
elif freq == MONTHLY:
return DAYS_PER_MONTH
elif freq == WEEKLY:
return DAYS_PER_WEEK
elif freq == DAILY:
return 1.0
elif freq == HOURLY:
return 1.0 / HOURS_PER_DAY
elif freq == MINUTELY:
return 1.0 / MINUTES_PER_DAY
elif freq == SECONDLY:
return 1.0 / SEC_PER_DAY
else:
# error
return -1 # or should this just return '1'?
def _get_interval(self):
return self.rule._rrule._interval
def autoscale(self):
"""
Set the view limits to include the data range.
"""
dmin, dmax = self.datalim_to_dt()
delta = relativedelta(dmax, dmin)
# We need to cap at the endpoints of valid datetime
try:
start = dmin - delta
except ValueError:
start = _from_ordinalf(1.0)
try:
stop = dmax + delta
except ValueError:
# The magic number!
stop = _from_ordinalf(3652059.9999999)
self.rule.set(dtstart=start, until=stop)
dmin, dmax = self.datalim_to_dt()
vmin = self.rule.before(dmin, True)
if not vmin:
vmin = dmin
vmax = self.rule.after(dmax, True)
if not vmax:
vmax = dmax
vmin = date2num(vmin)
vmax = date2num(vmax)
return self.nonsingular(vmin, vmax)
class AutoDateLocator(DateLocator):
"""
On autoscale, this class picks the best
:class:`DateLocator` to set the view limits and the tick
locations.
"""
def __init__(self, tz=None, minticks=5, maxticks=None,
interval_multiples=False):
"""
*minticks* is the minimum number of ticks desired, which is used to
select the type of ticking (yearly, monthly, etc.).
*maxticks* is the maximum number of ticks desired, which controls
any interval between ticks (ticking every other, every 3, etc.).
For really fine-grained control, this can be a dictionary mapping
individual rrule frequency constants (YEARLY, MONTHLY, etc.)
to their own maximum number of ticks. This can be used to keep
the number of ticks appropriate to the format chosen in
:class:`AutoDateFormatter`. Any frequency not specified in this
dictionary is given a default value.
*tz* is a :class:`tzinfo` instance.
*interval_multiples* is a boolean that indicates whether ticks
should be chosen to be multiple of the interval. This will lock
ticks to 'nicer' locations. For example, this will force the
ticks to be at hours 0,6,12,18 when hourly ticking is done at
6 hour intervals.
The AutoDateLocator has an interval dictionary that maps the
frequency of the tick (a constant from dateutil.rrule) and a
multiple allowed for that ticking. The default looks like this::
self.intervald = {
YEARLY : [1, 2, 4, 5, 10, 20, 40, 50, 100, 200, 400, 500,
1000, 2000, 4000, 5000, 10000],
MONTHLY : [1, 2, 3, 4, 6],
DAILY : [1, 2, 3, 7, 14],
HOURLY : [1, 2, 3, 4, 6, 12],
MINUTELY: [1, 5, 10, 15, 30],
SECONDLY: [1, 5, 10, 15, 30],
MICROSECONDLY: [1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000,
5000, 10000, 20000, 50000, 100000, 200000, 500000,
1000000],
}
The interval is used to specify multiples that are appropriate for
the frequency of ticking. For instance, every 7 days is sensible
for daily ticks, but for minutes/seconds, 15 or 30 make sense.
You can customize this dictionary by doing::
locator = AutoDateLocator()
locator.intervald[HOURLY] = [3] # only show every 3 hours
"""
DateLocator.__init__(self, tz)
self._locator = YearLocator()
self._freq = YEARLY
self._freqs = [YEARLY, MONTHLY, DAILY, HOURLY, MINUTELY,
SECONDLY, MICROSECONDLY]
self.minticks = minticks
self.maxticks = {YEARLY: 11, MONTHLY: 12, DAILY: 11, HOURLY: 12,
MINUTELY: 11, SECONDLY: 11, MICROSECONDLY: 8}
if maxticks is not None:
try:
self.maxticks.update(maxticks)
except TypeError:
# Assume we were given an integer. Use this as the maximum
# number of ticks for every frequency and create a
# dictionary for this
self.maxticks = dict(zip(self._freqs,
[maxticks] * len(self._freqs)))
self.interval_multiples = interval_multiples
self.intervald = {
YEARLY: [1, 2, 4, 5, 10, 20, 40, 50, 100, 200, 400, 500,
1000, 2000, 4000, 5000, 10000],
MONTHLY: [1, 2, 3, 4, 6],
DAILY: [1, 2, 3, 7, 14, 21],
HOURLY: [1, 2, 3, 4, 6, 12],
MINUTELY: [1, 5, 10, 15, 30],