| | """ |
| | ========================================= |
| | Placing date ticks using recurrence rules |
| | ========================================= |
| | |
| | The `iCalender RFC`_ specifies *recurrence rules* (rrules), that define |
| | date sequences. You can use rrules in Matplotlib to place date ticks. |
| | |
| | This example sets custom date ticks on every 5th easter. |
| | |
| | See https://dateutil.readthedocs.io/en/stable/rrule.html for help with rrules. |
| | |
| | .. _iCalender RFC: https://tools.ietf.org/html/rfc5545 |
| | """ |
| | import datetime |
| |
|
| | import matplotlib.pyplot as plt |
| | import numpy as np |
| |
|
| | from matplotlib.dates import (YEARLY, DateFormatter, RRuleLocator, drange, |
| | rrulewrapper) |
| |
|
| | |
| | np.random.seed(19680801) |
| |
|
| |
|
| | |
| | rule = rrulewrapper(YEARLY, byeaster=1, interval=5) |
| | loc = RRuleLocator(rule) |
| | formatter = DateFormatter('%m/%d/%y') |
| | date1 = datetime.date(1952, 1, 1) |
| | date2 = datetime.date(2004, 4, 12) |
| | delta = datetime.timedelta(days=100) |
| |
|
| | dates = drange(date1, date2, delta) |
| | s = np.random.rand(len(dates)) |
| |
|
| |
|
| | fig, ax = plt.subplots() |
| | plt.plot(dates, s, 'o') |
| | ax.xaxis.set_major_locator(loc) |
| | ax.xaxis.set_major_formatter(formatter) |
| | ax.xaxis.set_tick_params(rotation=30, labelsize=10) |
| |
|
| | plt.show() |
| |
|