{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n# Placing date ticks using recurrence rules\n\nThe `iCalender RFC`_ specifies *recurrence rules* (rrules), that define\ndate sequences. You can use rrules in Matplotlib to place date ticks.\n\nThis example sets custom date ticks on every 5th easter.\n\nSee https://dateutil.readthedocs.io/en/stable/rrule.html for help with rrules.\n\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import datetime\n\nimport matplotlib.pyplot as plt\nimport numpy as np\n\nfrom matplotlib.dates import (YEARLY, DateFormatter, RRuleLocator, drange,\n rrulewrapper)\n\n# Fixing random state for reproducibility\nnp.random.seed(19680801)\n\n\n# tick every 5th easter\nrule = rrulewrapper(YEARLY, byeaster=1, interval=5)\nloc = RRuleLocator(rule)\nformatter = DateFormatter('%m/%d/%y')\ndate1 = datetime.date(1952, 1, 1)\ndate2 = datetime.date(2004, 4, 12)\ndelta = datetime.timedelta(days=100)\n\ndates = drange(date1, date2, delta)\ns = np.random.rand(len(dates)) # make up some random y values\n\n\nfig, ax = plt.subplots()\nplt.plot(dates, s, 'o')\nax.xaxis.set_major_locator(loc)\nax.xaxis.set_major_formatter(formatter)\nax.xaxis.set_tick_params(rotation=30, labelsize=10)\n\nplt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.2" } }, "nbformat": 4, "nbformat_minor": 0 }