{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Example plot using stripes\n\nPlot up climate stripes plots from already\nexisting climatologies from ARM data.\nAuthor: Adam Theisen\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
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      "source": [
        "import matplotlib.pyplot as plt\n\nimport act\n\n# SGP E13 MET data has already been processed to yearly averages,\n# removing data flagged by embedded qc and DQRs\nurl = 'https://raw.githubusercontent.com/AdamTheisen/ARM-Climatologies/refs/heads/main/results/sgpmetE13.b1_temp_mean_Y.csv'\ncol_names = ['time', 'temperature', 'count']\nds = act.io.read_csv(url, column_names=col_names, index_col=0, parse_dates=True)\n\n# Drop years with less than 500000 samples\nds = ds.where(ds['count'] > 500000)\n\n# Create plot display\ndisplay = act.plotting.TimeSeriesDisplay(ds, figsize=(10, 2))\nreference = ['2003-01-01', '2013-01-01']\ndisplay.plot_stripes('temperature', reference_period=reference)\n\nplt.show()"
      ]
    }
  ],
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    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
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      "file_extension": ".py",
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      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
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