{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Secondary Y-Axis Plotting\n\nThis example shows how to plot on the secondary y-axis\nusing Matplotlib functionality.  The secondary_y functionality has been removed from ACT.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nfrom arm_test_data import DATASETS\n\nimport act\n\n# Read in the data from a MET file\nfilename_met = DATASETS.fetch('sgpmetE13.b1.20190101.000000.cdf')\nds = act.io.arm.read_arm_netcdf(filename_met)\n\n# Plot temperature and relative humidity with RH on the right axis\ndisplay = act.plotting.TimeSeriesDisplay(ds, figsize=(10, 6))\n\n# Plot the data and make the y-axes color match the lines\ndisplay.plot('temp_mean', match_line_label_color=True)\ndisplay.day_night_background()\n\n# Get the secondary y-axes and plot the RH on it\nax2 = display.axes[0].twinx()\nax2.plot(ds['time'], ds['rh_mean'], color='orange')\n\n# Then the axes can be updated and modified through the normal matplotlib calls.\ndisplay.axes[0].set_yticks([-5, 0, 5])\ndisplay.axes[0].set_yticklabels([\"That's cold\", \"Freezing\", \"Above Freezing\"])\n\n# Secondary y-axis will use the ax2 axes\nax2.set_yticks([65, 75, 85])\nax2.set_yticklabels(['Not as humid', 'Slightly Humid', 'Humid'])\nax2.set_ylabel('Relative Humidity (%)', color='orange')\n\nplt.tight_layout()\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": "3.14.3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}