| """ |
| ========================================= |
| 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() |
|
|