wholmgren/ktus_kphx_max_temp_records.ipynb

## ktus_kphx_max_temp_records.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Max temp records for KTUS and KPHX\n",
    "\n",
    "Data from http://scacis.rcc-acis.org Single Station Products, Extremes, Length of Period=1 Days, N records = 99, station = KTUS|KPHX\n",
    "\n",
    "I hacked this together. I'm sure you can do a better job.\n",
    "\n",
    "Will Holmgren, Department of Hydrology and Atmospheric Sciences, University of Arizona\n",
    "\n",
    "@willholmgren, @wholmgren"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from io import StringIO\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import seaborn as sns\n",
    "sns.set_style('ticks')\n",
    "sns.set_context('notebook', font_scale=1.5)\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "records = \"\"\"Rank, Value, EndingDate\n",
    "1, 117.0, 1990-06-26\n",
    "2, 116.0, 1994-06-29\n",
    "3, 115.0, 2016-06-19\n",
    "-, 115.0, 1994-06-28\n",
    "-, 115.0, 1994-06-25\n",
    "6, 114.0, 1995-07-28\n",
    "-, 114.0, 1989-07-04\n",
    "-, 114.0, 1988-06-22\n",
    "9, 113.0, 1995-07-27\n",
    "-, 113.0, 1994-06-26\n",
    "-, 113.0, 1994-06-24\n",
    "-, 113.0, 1993-06-26\n",
    "-, 113.0, 1990-06-28\n",
    "-, 113.0, 1990-06-25\n",
    "-, 113.0, 1989-06-18\n",
    "-, 113.0, 1988-06-23\n",
    "17, 112.0, 2016-06-20\n",
    "-, 112.0, 2013-06-29\n",
    "-, 112.0, 2011-06-27\n",
    "-, 112.0, 1995-07-26\n",
    "-, 112.0, 1993-08-01\n",
    "-, 112.0, 1990-06-27\n",
    "-, 112.0, 1990-06-22\n",
    "-, 112.0, 1990-06-21\n",
    "-, 112.0, 1990-06-04\n",
    "-, 112.0, 1989-06-30\n",
    "-, 112.0, 1989-06-19\n",
    "-, 112.0, 1988-06-21\n",
    "29, 111.0, 2016-06-06\n",
    "-, 111.0, 2016-06-04\n",
    "-, 111.0, 2013-06-30\n",
    "-, 111.0, 2011-07-02\n",
    "-, 111.0, 2008-06-21\n",
    "-, 111.0, 2005-07-17\n",
    "-, 111.0, 2001-07-02\n",
    "-, 111.0, 1994-07-08\n",
    "-, 111.0, 1994-07-02\n",
    "-, 111.0, 1994-06-27\n",
    "-, 111.0, 1993-06-27\n",
    "-, 111.0, 1993-06-14\n",
    "-, 111.0, 1992-07-05\n",
    "-, 111.0, 1992-07-04\n",
    "-, 111.0, 1990-07-01\n",
    "-, 111.0, 1989-07-03\n",
    "-, 111.0, 1986-07-31\n",
    "-, 111.0, 1985-06-08\n",
    "-, 111.0, 1983-07-05\n",
    "-, 111.0, 1970-06-25\n",
    "-, 111.0, 1958-07-11\n",
    "-, 111.0, 1957-06-24\n",
    "51, 110.0, 2016-06-05\n",
    "-, 110.0, 2015-08-15\n",
    "-, 110.0, 2015-06-19\n",
    "-, 110.0, 2015-06-18\n",
    "-, 110.0, 2013-06-28\n",
    "-, 110.0, 2011-06-28\n",
    "-, 110.0, 2007-07-04\n",
    "-, 110.0, 2006-07-21\n",
    "-, 110.0, 2005-07-12\n",
    "-, 110.0, 2005-07-05\n",
    "-, 110.0, 2005-06-21\n",
    "-, 110.0, 2005-06-20\n",
    "-, 110.0, 2003-08-10\n",
    "-, 110.0, 2003-07-16\n",
    "-, 110.0, 1998-07-15\n",
    "-, 110.0, 1997-07-15\n",
    "-, 110.0, 1995-07-29\n",
    "-, 110.0, 1995-06-25\n",
    "-, 110.0, 1994-08-03\n",
    "-, 110.0, 1994-07-13\n",
    "-, 110.0, 1993-06-28\n",
    "-, 110.0, 1993-06-25\n",
    "-, 110.0, 1991-06-18\n",
    "-, 110.0, 1990-06-24\n",
    "-, 110.0, 1990-06-18\n",
    "-, 110.0, 1989-07-13\n",
    "-, 110.0, 1989-07-05\n",
    "-, 110.0, 1989-07-01\n",
    "-, 110.0, 1987-07-13\n",
    "-, 110.0, 1979-07-09\n",
    "-, 110.0, 1968-06-22\n",
    "-, 110.0, 1955-06-22\n",
    "-, 110.0, 1953-07-01\n",
    "84, 109.0, 2016-06-22\n",
    "-, 109.0, 2016-06-18\n",
    "-, 109.0, 2015-06-20\n",
    "-, 109.0, 2015-06-17\n",
    "-, 109.0, 2012-08-13\n",
    "-, 109.0, 2012-08-12\n",
    "-, 109.0, 2011-07-01\n",
    "-, 109.0, 2011-06-26\n",
    "-, 109.0, 2010-06-23\n",
    "-, 109.0, 2009-07-19\n",
    "-, 109.0, 2008-06-20\n",
    "-, 109.0, 2008-06-17\n",
    "-, 109.0, 2007-07-05\n",
    "-, 109.0, 2005-07-06\n",
    "-, 109.0, 2005-05-22\n",
    "-, 109.0, 2002-06-26\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "recordsdf = pd.read_csv(StringIO(records))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "recordsdf = recordsdf.rename(columns={' EndingDate': 'Date', ' Value': 'Value'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "recordsdf['Date'] = pd.to_datetime(recordsdf['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "recordsdf = recordsdf.set_index(recordsdf['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "forecast_high = pd.Series([114, 114], index=[pd.Timestamp('20170619'), pd.Timestamp('20170620')])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1149c4f98>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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Sqca32ra1tUVQUBBmzZqltKxWrVqQSCRYuXIlxo4di+PHj+PUqVMYM2YM3nvvPcydO1ft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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11490b9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "toplot = recordsdf['Value']\n",
    "ndays = len(toplot)\n",
    "toplot = toplot + np.random.randn(ndays)/10\n",
    "forecast_high_plot = forecast_high + np.random.randn(len(forecast_high))/10\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "toplot.plot(ax=ax, marker='o', ls='', label=f'{ndays} hottest days')\n",
    "forecast_high_plot.plot(ax=ax, marker='o', ls='', label='2017 Forecast')\n",
    "ax.set_ylabel('Temperature (F)')\n",
    "ax.set_xlim(pd.Timestamp('19500101'), pd.Timestamp('20200101'))\n",
    "ax.set_ylim(108, 118)\n",
    "ax.legend(loc=2, frameon=True)\n",
    "ax.set_title('KTUS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x116bbf860>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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4e/YsPDw8Kl3X399f5gliwP8mryDShMzcQrntWZW0U+2nq6uLpk2bQiwWyx3U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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1149ee0f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "toplot = recordsdf['Value'].iloc[0:20]\n",
    "ndays = len(toplot)\n",
    "toplot = toplot + np.random.randn(ndays)/10\n",
    "forecast_high_plot = forecast_high + np.random.randn(len(forecast_high))/10\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "toplot.plot(ax=ax, marker='o', ls='', label=f'{ndays} hottest days')\n",
    "forecast_high_plot.plot(ax=ax, marker='o', ls='', label='2017 Forecast')\n",
    "ax.set_ylabel('Temperature (F)')\n",
    "ax.set_ylim(108, 118)\n",
    "ax.set_xlim(pd.Timestamp('19800101'), pd.Timestamp('20200101'))\n",
    "ax.legend(loc=1, frameon=True)\n",
    "ax.set_title('KTUS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x116d3a7b8>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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y6e5ogTme7dDErA60tURoYlYHczzbcfwCEWmkSnVeTEtLCzt37sTq1asxadIk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\nMAzDjMn/Acwsg6G28UEJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x116c45940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "toplot = recordsdf['Value'].iloc[0:10]\n",
    "ndays = len(toplot)\n",
    "toplot = toplot + np.random.randn(ndays)/10\n",
    "forecast_high_plot = forecast_high + np.random.randn(len(forecast_high))/10\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "toplot.plot(ax=ax, marker='o', ls='', label=f'{ndays} hottest days')\n",
    "forecast_high_plot.plot(ax=ax, marker='o', ls='', label='2017 Forecast')\n",
    "ax.set_ylabel('Temperature (F)')\n",
    "ax.set_ylim(108, 118)\n",
    "ax.set_xlim(pd.Timestamp('19800101'), pd.Timestamp('20200101'))\n",
    "ax.legend(loc=1, frameon=True)\n",
    "ax.set_title('KTUS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5c+ZorTt9+jR2dnY5ytPT01myZAnt2rWjRYsWTJw4kTt3cu5vIERhW7duHWfP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\najFhICIiIrWYMBAREZFaTBiIiIhIrf8PAlpFEXAVZLwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x116c45828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "toplot = recordsdf['Value']\n",
    "ndays = len(toplot)\n",
    "toplot = toplot + np.random.randn(ndays)/15\n",
    "forecast_high_plot = forecast_high + np.random.randn(len(forecast_high))/15\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "toplot.plot(ax=ax, marker='o', ls='', label='99 hottest days')\n",
    "toplot[0:20].plot(ax=ax, marker='o', ls='', label='20 hottest days')\n",
    "toplot[0:10].plot(ax=ax, marker='o', ls='', label='10 hottest days')\n",
    "forecast_high_plot.plot(ax=ax, marker='o', ls='', label='2017 Forecast')\n",
    "ax.set_ylabel('Temperature (F)')\n",
    "ax.set_xlim(pd.Timestamp('19500101'), pd.Timestamp('20200101'))\n",
    "ax.set_ylim(108, 118)\n",
    "ax.legend(loc=2, frameon=True)\n",
    "ax.set_title('KTUS')\n",
    "\n",
    "fig.savefig('/Users/holmgren/Dropbox/ktus_hottest.png', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "phxrecords = \"\"\"Rank, Value, EndingDate\n",
    "1, 122.0, 1990-06-26\n",
    "2, 121.0, 1995-07-28\n",
    "3, 120.0, 1990-06-25\n",
    "4, 119.0, 2013-06-29\n",
    "5, 118.0, 2016-06-19\n",
    "-, 118.0, 2011-07-02\n",
    "-, 118.0, 2006-07-21\n",
    "-, 118.0, 1995-07-27\n",
    "-, 118.0, 1990-06-28\n",
    "-, 118.0, 1990-06-27\n",
    "-, 118.0, 1989-07-04\n",
    "-, 118.0, 1958-07-11\n",
    "-, 118.0, 1950-09-01\n",
    "14, 117.0, 2015-08-14\n",
    "-, 117.0, 2011-08-26\n",
    "-, 117.0, 2003-07-16\n",
    "-, 117.0, 1998-07-15\n",
    "-, 117.0, 1994-06-29\n",
    "-, 117.0, 1979-06-28\n",
    "-, 117.0, 1940-06-19\n",
    "-, 117.0, 1934-07-10\n",
    "-, 117.0, 1933-08-10\n",
    "23, 116.0, 2016-06-20\n",
    "-, 116.0, 2014-07-24\n",
    "-, 116.0, 2013-06-28\n",
    "-, 116.0, 2012-08-08\n",
    "-, 116.0, 2007-07-04\n",
    "-, 116.0, 2006-07-22\n",
    "-, 116.0, 2005-07-17\n",
    "-, 116.0, 2003-08-10\n",
    "-, 116.0, 2003-07-14\n",
    "-, 116.0, 2001-07-02\n",
    "-, 116.0, 1998-07-16\n",
    "-, 116.0, 1995-07-26\n",
    "-, 116.0, 1994-06-28\n",
    "-, 116.0, 1994-06-26\n",
    "-, 116.0, 1994-06-25\n",
    "-, 116.0, 1994-06-24\n",
    "-, 116.0, 1989-07-19\n",
    "-, 116.0, 1988-06-22\n",
    "-, 116.0, 1983-07-05\n",
    "-, 116.0, 1979-06-27\n",
    "-, 116.0, 1979-06-26\n",
    "-, 116.0, 1975-08-04\n",
    "-, 116.0, 1974-06-27\n",
    "-, 116.0, 1974-06-23\n",
    "-, 116.0, 1972-08-01\n",
    "-, 116.0, 1970-06-25\n",
    "-, 116.0, 1958-07-09\n",
    "-, 116.0, 1943-07-25\n",
    "-, 116.0, 1942-07-06\n",
    "-, 116.0, 1934-07-11\n",
    "53, 115.0, 2016-06-04\n",
    "-, 115.0, 2015-08-15\n",
    "-, 115.0, 2015-06-18\n",
    "-, 115.0, 2013-06-30\n",
    "-, 115.0, 2012-08-13\n",
    "-, 115.0, 2012-08-12\n",
    "-, 115.0, 2011-06-27\n",
    "-, 115.0, 2009-07-28\n",
    "-, 115.0, 2009-07-12\n",
    "-, 115.0, 2008-06-21\n",
    "-, 115.0, 2007-07-05\n",
    "-, 115.0, 2005-07-12\n",
    "-, 115.0, 2003-07-15\n",
    "-, 115.0, 1996-07-31\n",
    "-, 115.0, 1995-07-29\n",
    "-, 115.0, 1990-07-01\n",
    "-, 115.0, 1989-07-18\n",
    "-, 115.0, 1989-07-14\n",
    "-, 115.0, 1989-07-03\n",
    "-, 115.0, 1989-06-18\n",
    "-, 115.0, 1988-06-23\n",
    "-, 115.0, 1987-06-14\n",
    "-, 115.0, 1986-07-31\n",
    "-, 115.0, 1985-08-24\n",
    "-, 115.0, 1985-07-08\n",
    "-, 115.0, 1985-07-02\n",
    "-, 115.0, 1985-06-08\n",
    "-, 115.0, 1985-06-07\n",
    "-, 115.0, 1980-07-28\n",
    "-, 115.0, 1979-06-30\n",
    "-, 115.0, 1979-06-25\n",
    "-, 115.0, 1978-07-19\n",
    "-, 115.0, 1978-06-23\n",
    "-, 115.0, 1974-06-28\n",
    "-, 115.0, 1974-06-22\n",
    "-, 115.0, 1974-06-16\n",
    "-, 115.0, 1974-06-15\n",
    "-, 115.0, 1974-06-14\n",
    "-, 115.0, 1973-07-02\n",
    "-, 115.0, 1973-06-28\n",
    "-, 115.0, 1972-07-31\n",
    "-, 115.0, 1968-06-22\n",
    "-, 115.0, 1968-06-21\n",
    "-, 115.0, 1968-06-20\n",
    "-, 115.0, 1968-06-19\n",
    "-, 115.0, 1958-07-10\n",
    "-, 115.0, 1950-08-31\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "recordsdf = pd.read_csv(StringIO(phxrecords))\n",
    "\n",
    "recordsdf = recordsdf.rename(columns={' EndingDate': 'Date', ' Value': 'Value'})\n",
    "\n",
    "recordsdf['Date'] = pd.to_datetime(recordsdf['Date'])\n",
    "\n",
    "recordsdf = recordsdf.set_index(recordsdf['Date'])\n",
    "\n",
    "forecast_high = pd.Series([119, 120], index=[pd.Timestamp('20170619'), pd.Timestamp('20170620')])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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D9OnTSU1NxdjYmM2bN1OzZk0qVapUYL86OnknphRFQV9fP9/2OTk5Wt8+W09Pj3bt2jFr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\nBcYYY4ypxMkCY4wxxlTiZIExxhhjKv0/7bVoGoaQhdwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x116c45dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "toplot = recordsdf['Value']\n",
    "ndays = len(toplot)\n",
    "toplot = toplot + np.random.randn(ndays)/15\n",
    "forecast_high_plot = forecast_high + np.random.randn(len(forecast_high))/15\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "toplot.plot(ax=ax, marker='o', ls='', label='99 hottest days')\n",
    "toplot[0:20].plot(ax=ax, marker='o', ls='', label='20 hottest days')\n",
    "toplot[0:10].plot(ax=ax, marker='o', ls='', label='10 hottest days')\n",
    "forecast_high_plot.plot(ax=ax, marker='o', ls='', label='2017 Forecast')\n",
    "ax.set_ylabel('Temperature (F)')\n",
    "ax.set_xlim(pd.Timestamp('19300101'), pd.Timestamp('20200101'))\n",
    "ax.set_ylim(114, 124)\n",
    "ax.legend(loc=2, frameon=True)\n",
    "ax.set_title('KPHX')\n",
    "\n",
    "fig.savefig('/Users/holmgren/Dropbox/kphx_hottest.png', dpi=300)"
   ]
  },
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   "cell_type": "code",
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   "outputs": [],
   "source": []
  }
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