matplotlib 3.5.1

>>> """
=========================================
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 matplotlib.pyplot as plt
... from matplotlib.dates import (YEARLY, DateFormatter,
...  rrulewrapper, RRuleLocator, drange)
... import numpy as np
... import datetime
... 
... # Fixing random state for reproducibility
... np.random.seed(19680801)
... 
... 
... # tick every 5th easter
... 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)) # make up some random y values
... 
... 
... 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()
...