{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Date converter demo\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 DateFormatter, DayLocator, HourLocator, drange\n\ndate1 = datetime.datetime(2000, 3, 2)\ndate2 = datetime.datetime(2000, 3, 6)\ndelta = datetime.timedelta(hours=6)\ndates = drange(date1, date2, delta)\n\ny = np.arange(len(dates))\n\nfig, ax = plt.subplots()\nax.plot(dates, y**2, 'o')\n\n# This is superfluous, since the autoscaler should get it right, but\n# use date2num and num2date to convert between dates and floats if\n# you want; both date2num and num2date convert an instance or sequence.\nax.set_xlim(dates[0], dates[-1])\n\n# The hour locator takes the hour or sequence of hours you want to\n# tick, not the base multiple.\nax.xaxis.set_major_locator(DayLocator())\nax.xaxis.set_minor_locator(HourLocator(range(0, 25, 6)))\nax.xaxis.set_major_formatter(DateFormatter('%Y-%m-%d'))\n\nax.fmt_xdata = DateFormatter('%Y-%m-%d %H:%M:%S')\nfig.autofmt_xdate()\n\nplt.show()"
      ]
    }
  ],
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    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
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    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.14.6"
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  "nbformat": 4,
  "nbformat_minor": 0
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