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        "\n# Center labels between ticks\n\nTicklabels are aligned relative to their associated tick. The alignment\n'center', 'left', or 'right' can be controlled using the horizontal alignment\nproperty::\n\n    for label in ax.get_xticklabels():\n        label.set_horizontalalignment('right')\n\nHowever, there is no direct way to center the labels between ticks. To fake\nthis behavior, one can place a label on the minor ticks in between the major\nticks, and hide the major tick labels and minor ticks.\n\nHere is an example that labels the months, centered between the ticks.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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      "source": [
        "import matplotlib.pyplot as plt\n\nimport matplotlib.cbook as cbook\nimport matplotlib.dates as dates\nimport matplotlib.ticker as ticker\n\n# Load some financial data; Google's stock price\nr = cbook.get_sample_data('goog.npz')['price_data']\nr = r[-250:]  # get the last 250 days\n\nfig, ax = plt.subplots()\nax.plot(r[\"date\"], r[\"adj_close\"])\n\nax.xaxis.set_major_locator(dates.MonthLocator())\n# 16 is a slight approximation since months differ in number of days.\nax.xaxis.set_minor_locator(dates.MonthLocator(bymonthday=16))\n\nax.xaxis.set_major_formatter(ticker.NullFormatter())\nax.xaxis.set_minor_formatter(dates.DateFormatter('%b'))\n\n# Remove the tick lines\nax.tick_params(axis='x', which='minor', tick1On=False, tick2On=False)\n\n# Align the minor tick label\nfor label in ax.get_xticklabels(minor=True):\n    label.set_horizontalalignment('center')\nimid = len(r) // 2\nax.set_xlabel(str(r[\"date\"][imid].item().year))\nplt.show()"
      ]
    }
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