{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# illustrate using Pandas and json IO to Access Data from Hurricane Ian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# adding a \"widget\" to be able to zoom into figures\n",
    "# the % in the next line indicates that using a linux command\n",
    "%matplotlib widget\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "#access a function from the urllib module\n",
    "from urllib.request import urlretrieve\n",
    "#also let's use a linux command to see the file size\n",
    "import os\n",
    "\n",
    "#plotting on a map requires cartopy\n",
    "# See Chapter 13\n",
    "import cartopy\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%pip list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# needed to handle dates. See Chapter 15\n",
    "from datetime import datetime,timezone\n",
    "#adding a new module Pandas. See Chapter 16\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "json is a file format that uses human-readable text to store and transmit data objects consisting of attribute-value pairs \n",
    "\n",
    "Think of it like having the ability to transmit many python values, lists, and dictionaries  where each value is defined in terms of an attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#get the json module \n",
    "import json"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will be accessing public data from a commercial site for which I need to disclose that I am involved with the company, Synoptic Data:\n",
    "\n",
    "- I am on the Board of Directors\n",
    "\n",
    "- I am a shareholder\n",
    "\n",
    "- I have a grant from that company to help with their customer support and research and development"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://api.synopticdata.com/v2/stations/precip?state=fl&start=202209271200&end=202210021200&pmode=totals&interval=day&token=bace3f05279d4de1bb2f03011843709e\n",
      "Saved ian_fl_ppt.json 727.229 KB\n"
     ]
    }
   ],
   "source": [
    "#define time range in UTC\n",
    "# 5 day period\n",
    "start_time = '202209271200'\n",
    "end_time =   '202210021200'\n",
    "#originally I was doing this by day, but that adds complications\n",
    "#url = \"https://api.synopticdata.com/v2/stations/precip?state=fl&start=\"+start_time+\"&end=\"+end_time+\"&pmode=intervals&interval=day&token=bace3f05279d4de1bb2f03011843709e\"\n",
    "#instead get the totals between the start and end time\n",
    "url = \"https://api.synopticdata.com/v2/stations/precip?state=fl&start=\"+start_time+\"&end=\"+end_time+\"&pmode=totals&interval=day&token=bace3f05279d4de1bb2f03011843709e\"\n",
    "print(url)\n",
    "\n",
    "# define the file to write the data into\n",
    "filename = \"ian_fl_ppt.json\"\n",
    "#let's try if we can get the file from the web\n",
    "try:\n",
    "    #get the file over the web\n",
    "    urlretrieve(url, filename)\n",
    "    print(\"Saved\", filename, os.path.getsize(filename)/1000., 'KB')\n",
    "except:\n",
    "    print(\"something wrong grabbing the file\")\n",
    "    print(\"but the program continues, so may be in error\")\n",
    "    \n",
    "#what's the file size?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# STOP\n",
    "\n",
    "Click on the file to the left with that name that has a \"dictionary\" type icon {:}\n",
    "\n",
    "Click on one right pointing arrow so it points down\n",
    "\n",
    "What do you see?\n",
    "\n",
    "Click on other ones\n",
    "\n",
    "Lots of info here! Check it out!\n",
    "\n",
    "Look carefully. How many indents to get to the total for the first station?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#read the data by opening the file and reading all of it\n",
    "in_file = open('ian_fl_ppt.json').read()\n",
    "data = json.loads(in_file)\n",
    "#print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>STATUS</th>\n",
       "      <th>MNET_ID</th>\n",
       "      <th>ELEVATION</th>\n",
       "      <th>NAME</th>\n",
       "      <th>STID</th>\n",
       "      <th>ELEV_DEM</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>STATE</th>\n",
       "      <th>RESTRICTED</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>TIMEZONE</th>\n",
       "      <th>ID</th>\n",
       "      <th>PERIOD_OF_RECORD.start</th>\n",
       "      <th>PERIOD_OF_RECORD.end</th>\n",
       "      <th>UNITS.position</th>\n",
       "      <th>UNITS.elevation</th>\n",
       "      <th>OBSERVATIONS.precipitation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>2</td>\n",
       "      <td>27</td>\n",
       "      <td>SUMATRA</td>\n",
       "      <td>SURF1</td>\n",
       "      <td>26.2</td>\n",
       "      <td>-84.986110</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>30.020560</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>3436</td>\n",
       "      <td>2004-12-27T00:00:00Z</td>\n",
       "      <td>2022-10-04T19:48:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 120, 'first_report': '2022-09-27T11...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>OASIS</td>\n",
       "      <td>OASF1</td>\n",
       "      <td>16.4</td>\n",
       "      <td>-81.033</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>25.860389</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>3470</td>\n",
       "      <td>2001-06-26T00:00:00Z</td>\n",
       "      <td>2022-10-04T19:37:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 120, 'first_report': '2022-09-27T11...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>Melbourne International Airport</td>\n",
       "      <td>KMLB</td>\n",
       "      <td>23</td>\n",
       "      <td>-80.63560</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>28.09973</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>4136</td>\n",
       "      <td>2002-08-12T00:00:00Z</td>\n",
       "      <td>2022-10-04T20:15:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 210, 'first_report': '2022-09-27T11...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>1</td>\n",
       "      <td>44</td>\n",
       "      <td>Perry-Foley Airport</td>\n",
       "      <td>KFPY</td>\n",
       "      <td>65.6</td>\n",
       "      <td>-83.58154</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>30.07081</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>4193</td>\n",
       "      <td>2002-08-14T00:00:00Z</td>\n",
       "      <td>2022-10-04T20:15:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 359, 'first_report': '2022-09-27T11...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>Apalachicola, Apalachicola</td>\n",
       "      <td>KAAF</td>\n",
       "      <td>13.1</td>\n",
       "      <td>-85.02472</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>29.72694</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>4239</td>\n",
       "      <td>2002-08-14T00:00:00Z</td>\n",
       "      <td>2022-10-04T20:15:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 120, 'first_report': '2022-09-27T11...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1331</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>249</td>\n",
       "      <td>26</td>\n",
       "      <td>Pine Crest School</td>\n",
       "      <td>2000W</td>\n",
       "      <td>None</td>\n",
       "      <td>-80.12401</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>26.20460</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>178008</td>\n",
       "      <td>2022-09-13T16:10:00Z</td>\n",
       "      <td>2022-10-04T20:10:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 660, 'first_report': '2022-09-27T12...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1332</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>249</td>\n",
       "      <td>161</td>\n",
       "      <td>FSWN Emergency Response Unit</td>\n",
       "      <td>2003W</td>\n",
       "      <td>None</td>\n",
       "      <td>-84.21333</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>30.53596</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>178009</td>\n",
       "      <td>2022-09-13T16:25:00Z</td>\n",
       "      <td>2022-10-04T18:30:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 18, 'first_report': '2022-09-27T12:...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1333</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>65</td>\n",
       "      <td>6</td>\n",
       "      <td>N3FTU CLEARWATER BEACH</td>\n",
       "      <td>AV996</td>\n",
       "      <td>None</td>\n",
       "      <td>-82.82617</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>27.97200</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>178036</td>\n",
       "      <td>2022-09-15T22:09:00Z</td>\n",
       "      <td>2022-10-04T20:20:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 1435, 'first_report': '2022-09-27T1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1334</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>65</td>\n",
       "      <td>72</td>\n",
       "      <td>GW2374 Big Bear Lake</td>\n",
       "      <td>G2374</td>\n",
       "      <td>None</td>\n",
       "      <td>-82.40000</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>28.20000</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>178245</td>\n",
       "      <td>2022-09-28T03:20:00Z</td>\n",
       "      <td>2022-10-04T20:18:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 1150, 'first_report': '2022-09-28T0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1335</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>65</td>\n",
       "      <td>121</td>\n",
       "      <td>GW2392 Windermere</td>\n",
       "      <td>G2392</td>\n",
       "      <td>118.1</td>\n",
       "      <td>-81.60117</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>28.49633</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>178294</td>\n",
       "      <td>2022-09-30T20:09:00Z</td>\n",
       "      <td>2022-10-04T20:19:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 483, 'first_report': '2022-09-30T19...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1336 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      STATUS MNET_ID ELEVATION                             NAME   STID  \\\n",
       "0     ACTIVE       2        27                          SUMATRA  SURF1   \n",
       "1     ACTIVE       2         8                            OASIS  OASF1   \n",
       "2     ACTIVE       1        20  Melbourne International Airport   KMLB   \n",
       "3     ACTIVE       1        44              Perry-Foley Airport   KFPY   \n",
       "4     ACTIVE       1        20       Apalachicola, Apalachicola   KAAF   \n",
       "...      ...     ...       ...                              ...    ...   \n",
       "1331  ACTIVE     249        26                Pine Crest School  2000W   \n",
       "1332  ACTIVE     249       161     FSWN Emergency Response Unit  2003W   \n",
       "1333  ACTIVE      65         6           N3FTU CLEARWATER BEACH  AV996   \n",
       "1334  ACTIVE      65        72             GW2374 Big Bear Lake  G2374   \n",
       "1335  ACTIVE      65       121                GW2392 Windermere  G2392   \n",
       "\n",
       "     ELEV_DEM   LONGITUDE STATE  RESTRICTED   LATITUDE          TIMEZONE  \\\n",
       "0        26.2  -84.986110    FL       False  30.020560  America/New_York   \n",
       "1        16.4     -81.033    FL       False  25.860389  America/New_York   \n",
       "2          23   -80.63560    FL       False   28.09973  America/New_York   \n",
       "3        65.6   -83.58154    FL       False   30.07081  America/New_York   \n",
       "4        13.1   -85.02472    FL       False   29.72694  America/New_York   \n",
       "...       ...         ...   ...         ...        ...               ...   \n",
       "1331     None   -80.12401    FL       False   26.20460  America/New_York   \n",
       "1332     None   -84.21333    FL       False   30.53596  America/New_York   \n",
       "1333     None   -82.82617    FL       False   27.97200  America/New_York   \n",
       "1334     None   -82.40000    FL       False   28.20000  America/New_York   \n",
       "1335    118.1   -81.60117    FL       False   28.49633  America/New_York   \n",
       "\n",
       "          ID PERIOD_OF_RECORD.start  PERIOD_OF_RECORD.end UNITS.position  \\\n",
       "0       3436   2004-12-27T00:00:00Z  2022-10-04T19:48:00Z              m   \n",
       "1       3470   2001-06-26T00:00:00Z  2022-10-04T19:37:00Z              m   \n",
       "2       4136   2002-08-12T00:00:00Z  2022-10-04T20:15:00Z              m   \n",
       "3       4193   2002-08-14T00:00:00Z  2022-10-04T20:15:00Z              m   \n",
       "4       4239   2002-08-14T00:00:00Z  2022-10-04T20:15:00Z              m   \n",
       "...      ...                    ...                   ...            ...   \n",
       "1331  178008   2022-09-13T16:10:00Z  2022-10-04T20:10:00Z              m   \n",
       "1332  178009   2022-09-13T16:25:00Z  2022-10-04T18:30:00Z              m   \n",
       "1333  178036   2022-09-15T22:09:00Z  2022-10-04T20:20:00Z              m   \n",
       "1334  178245   2022-09-28T03:20:00Z  2022-10-04T20:18:00Z              m   \n",
       "1335  178294   2022-09-30T20:09:00Z  2022-10-04T20:19:00Z              m   \n",
       "\n",
       "     UNITS.elevation                         OBSERVATIONS.precipitation  \n",
       "0                 ft  [{'count': 120, 'first_report': '2022-09-27T11...  \n",
       "1                 ft  [{'count': 120, 'first_report': '2022-09-27T11...  \n",
       "2                 ft  [{'count': 210, 'first_report': '2022-09-27T11...  \n",
       "3                 ft  [{'count': 359, 'first_report': '2022-09-27T11...  \n",
       "4                 ft  [{'count': 120, 'first_report': '2022-09-27T11...  \n",
       "...              ...                                                ...  \n",
       "1331              ft  [{'count': 660, 'first_report': '2022-09-27T12...  \n",
       "1332              ft  [{'count': 18, 'first_report': '2022-09-27T12:...  \n",
       "1333              ft  [{'count': 1435, 'first_report': '2022-09-27T1...  \n",
       "1334              ft  [{'count': 1150, 'first_report': '2022-09-28T0...  \n",
       "1335              ft  [{'count': 483, 'first_report': '2022-09-30T19...  \n",
       "\n",
       "[1336 rows x 17 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#now lets try to make sense of all the info available by putting it into a pandas dataframe\n",
    "# the json_normalize function in Pandas flattens the json structure to make it easier to handle\n",
    "df_json = pd.json_normalize(data,record_path=['STATION'])\n",
    "#STOP! \n",
    "#look at all the columns. Note the rows are the stations\n",
    "df_json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 STATUS\n",
      "1 MNET_ID\n",
      "2 ELEVATION\n",
      "3 NAME\n",
      "4 STID\n",
      "5 ELEV_DEM\n",
      "6 LONGITUDE\n",
      "7 STATE\n",
      "8 RESTRICTED\n",
      "9 LATITUDE\n",
      "10 TIMEZONE\n",
      "11 ID\n",
      "12 PERIOD_OF_RECORD.start\n",
      "13 PERIOD_OF_RECORD.end\n",
      "14 UNITS.position\n",
      "15 UNITS.elevation\n",
      "16 OBSERVATIONS.precipitation\n"
     ]
    }
   ],
   "source": [
    "#print out all the columns\n",
    "for col in range(len(df_json.columns)):\n",
    "    print(col,df_json.columns[col])   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "precip\n"
     ]
    }
   ],
   "source": [
    "#the column of main interest is #16 OBSERVATIONS.precipitation\n",
    "#ugly name let's change it\n",
    "df_json.rename(columns = {'OBSERVATIONS.precipitation':'precip'}, inplace = True)\n",
    "print(df_json.columns[16])   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.series.Series'>\n",
      "80.776\n",
      "[{'count': 164, 'first_report': '2022-09-27T11:53:00Z', 'total': 0.8, 'last_report': '2022-10-02T11:53:00Z', 'report_type': 'precip_accum_one_hour'}] <class 'list'>\n",
      "[{'count': 207, 'first_report': '2022-09-27T11:58:00Z', 'total': 68.751, 'last_report': '2022-10-02T11:53:00Z', 'report_type': 'precip_accum_one_hour'}] <class 'list'>\n"
     ]
    }
   ],
   "source": [
    "#create a pandas data frame wth ID, lat, lon, and total precipitation\n",
    "df_ppt = df_json[['STID','LATITUDE','LONGITUDE','precip']]\n",
    "df_ppt = df_ppt.set_index(['STID'])\n",
    "print(type(df_ppt['precip']))\n",
    "#how do we get to the 2nd stations total precip?\n",
    "print(df_ppt['precip'][1][0]['total'])\n",
    "#there are some nan's! a way to sort that out is to compare the type of object as done below\n",
    "\n",
    "#some debugging steps while figuring this out\n",
    "test=df_ppt['precip'][15]\n",
    "print(test,type(test))\n",
    "test1 = df_ppt['precip'][14]\n",
    "print(test1,type(test1))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1336\n"
     ]
    }
   ],
   "source": [
    "#how many stations\n",
    "\n",
    "no_stid = len(df_ppt.LATITUDE)\n",
    "#create numpy array with that size for precip values\n",
    "p = np.ones(no_stid) \n",
    "print(no_stid)\n",
    "\n",
    "#let's again simplify the dictionaries, switch from mm to cm  to get across the sense of iteration and handle nan's\n",
    "# nan's show up when there is not a list\n",
    "for no in range(0,no_stid):\n",
    "    #is it a list. that is good. no list? then set as nan\n",
    "    if isinstance(df_ppt['precip'][no],list):\n",
    "        # change to cm\n",
    "        pp = df_ppt['precip'][no][0]['total']/10.\n",
    "        df_ppt['precip'][no][0]['total'] = pp\n",
    "        # and for convenience  assign the precip to a numpy variable\n",
    "        p[no] = pp\n",
    "        #print(no,df_ppt.index[no],df_ppt.Latitude[no],df_ppt.Longitude[no],p[no])\n",
    "    else:\n",
    "        p[no] = np.nan\n",
    "        print('missing ppt',df_ppt.index[no])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>TOTALS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SURF1</th>\n",
       "      <td>30.020560</td>\n",
       "      <td>-84.98611</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OASF1</th>\n",
       "      <td>25.860389</td>\n",
       "      <td>-81.03300</td>\n",
       "      <td>8.0776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KMLB</th>\n",
       "      <td>28.099730</td>\n",
       "      <td>-80.63560</td>\n",
       "      <td>10.8334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KFPY</th>\n",
       "      <td>30.070810</td>\n",
       "      <td>-83.58154</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KAAF</th>\n",
       "      <td>29.726940</td>\n",
       "      <td>-85.02472</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000W</th>\n",
       "      <td>26.204600</td>\n",
       "      <td>-80.12401</td>\n",
       "      <td>20.5994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003W</th>\n",
       "      <td>30.535960</td>\n",
       "      <td>-84.21333</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AV996</th>\n",
       "      <td>27.972000</td>\n",
       "      <td>-82.82617</td>\n",
       "      <td>0.6604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G2374</th>\n",
       "      <td>28.200000</td>\n",
       "      <td>-82.40000</td>\n",
       "      <td>5.6896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G2392</th>\n",
       "      <td>28.496330</td>\n",
       "      <td>-81.60117</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1336 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        LATITUDE  LONGITUDE   TOTALS\n",
       "STID                                \n",
       "SURF1  30.020560  -84.98611   0.0000\n",
       "OASF1  25.860389  -81.03300   8.0776\n",
       "KMLB   28.099730  -80.63560  10.8334\n",
       "KFPY   30.070810  -83.58154   0.0000\n",
       "KAAF   29.726940  -85.02472   0.0000\n",
       "...          ...        ...      ...\n",
       "2000W  26.204600  -80.12401  20.5994\n",
       "2003W  30.535960  -84.21333   0.0000\n",
       "AV996  27.972000  -82.82617   0.6604\n",
       "G2374  28.200000  -82.40000   5.6896\n",
       "G2392  28.496330  -81.60117   0.0000\n",
       "\n",
       "[1336 rows x 3 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#now let's clean this up \n",
    "#put the values into the dataframe\n",
    "df_ppt['TOTALS'] = p.tolist()\n",
    "#remove the precip column that is really ugly to deal with\n",
    "df_ppt.drop(columns=['precip'],inplace=True)\n",
    "#they are a string unless they are defined as floats\n",
    "df_ppt.LONGITUDE = df_ppt.LONGITUDE.astype('float64')\n",
    "df_ppt.LATITUDE = df_ppt.LATITUDE.astype('float64')\n",
    "df_ppt.TOTALS = df_ppt.TOTALS.astype('float64')\n",
    "df_ppt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>TOTALS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0369W</th>\n",
       "      <td>26.46131</td>\n",
       "      <td>-81.77957</td>\n",
       "      <td>985.7770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0834W</th>\n",
       "      <td>29.12042</td>\n",
       "      <td>-80.95339</td>\n",
       "      <td>895.9338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SSSBU</th>\n",
       "      <td>26.09212</td>\n",
       "      <td>-80.10982</td>\n",
       "      <td>304.4160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1866W</th>\n",
       "      <td>29.26585</td>\n",
       "      <td>-81.22758</td>\n",
       "      <td>90.0434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1334W</th>\n",
       "      <td>29.57435</td>\n",
       "      <td>-81.18766</td>\n",
       "      <td>82.9570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E9392</th>\n",
       "      <td>29.18833</td>\n",
       "      <td>-81.07317</td>\n",
       "      <td>24.7908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0323W</th>\n",
       "      <td>25.71442</td>\n",
       "      <td>-80.28235</td>\n",
       "      <td>24.5360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G1444</th>\n",
       "      <td>26.49833</td>\n",
       "      <td>-82.08867</td>\n",
       "      <td>24.4856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1355W</th>\n",
       "      <td>26.23780</td>\n",
       "      <td>-80.23769</td>\n",
       "      <td>24.3332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AV797</th>\n",
       "      <td>27.71100</td>\n",
       "      <td>-82.35917</td>\n",
       "      <td>24.2316</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       LATITUDE  LONGITUDE    TOTALS\n",
       "STID                                \n",
       "0369W  26.46131  -81.77957  985.7770\n",
       "0834W  29.12042  -80.95339  895.9338\n",
       "SSSBU  26.09212  -80.10982  304.4160\n",
       "1866W  29.26585  -81.22758   90.0434\n",
       "1334W  29.57435  -81.18766   82.9570\n",
       "...         ...        ...       ...\n",
       "E9392  29.18833  -81.07317   24.7908\n",
       "0323W  25.71442  -80.28235   24.5360\n",
       "G1444  26.49833  -82.08867   24.4856\n",
       "1355W  26.23780  -80.23769   24.3332\n",
       "AV797  27.71100  -82.35917   24.2316\n",
       "\n",
       "[100 rows x 3 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#sort the rows by the TOTALS values\n",
    "ppt_sorted=df_ppt.sort_values(by=['TOTALS'],ascending=False)\n",
    "ppt_sorted[0:100]\n",
    "#are those super large realistic?\n",
    "# 30 inches is a lot of water ~75 cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>TOTALS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0369W</th>\n",
       "      <td>26.46131</td>\n",
       "      <td>-81.77957</td>\n",
       "      <td>985.7770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0834W</th>\n",
       "      <td>29.12042</td>\n",
       "      <td>-80.95339</td>\n",
       "      <td>895.9338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1334W</th>\n",
       "      <td>29.57435</td>\n",
       "      <td>-81.18766</td>\n",
       "      <td>82.9570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1342W</th>\n",
       "      <td>28.62773</td>\n",
       "      <td>-81.40158</td>\n",
       "      <td>76.1740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SSSBU</th>\n",
       "      <td>26.09212</td>\n",
       "      <td>-80.10982</td>\n",
       "      <td>304.4160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1866W</th>\n",
       "      <td>29.26585</td>\n",
       "      <td>-81.22758</td>\n",
       "      <td>90.0434</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       LATITUDE  LONGITUDE    TOTALS\n",
       "STID                                \n",
       "0369W  26.46131  -81.77957  985.7770\n",
       "0834W  29.12042  -80.95339  895.9338\n",
       "1334W  29.57435  -81.18766   82.9570\n",
       "1342W  28.62773  -81.40158   76.1740\n",
       "SSSBU  26.09212  -80.10982  304.4160\n",
       "1866W  29.26585  -81.22758   90.0434"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#let's put those in their own dataframe\n",
    "# and remove them from the main dataframe for now and figure out what's haywire later\n",
    "df_ppt_big = df_ppt[df_ppt['TOTALS'] > 75.]\n",
    "df_ppt_big"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>TOTALS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0335W</th>\n",
       "      <td>27.22227</td>\n",
       "      <td>-81.86353</td>\n",
       "      <td>-0.4064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0368W</th>\n",
       "      <td>26.42380</td>\n",
       "      <td>-81.42700</td>\n",
       "      <td>-1.7264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0370W</th>\n",
       "      <td>27.00014</td>\n",
       "      <td>-82.07607</td>\n",
       "      <td>-6.6548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0465W</th>\n",
       "      <td>25.74262</td>\n",
       "      <td>-80.34718</td>\n",
       "      <td>-1.0160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0511W</th>\n",
       "      <td>27.77185</td>\n",
       "      <td>-82.63815</td>\n",
       "      <td>-44.6786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0525W</th>\n",
       "      <td>28.10286</td>\n",
       "      <td>-81.62503</td>\n",
       "      <td>-1.8800</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       LATITUDE  LONGITUDE   TOTALS\n",
       "STID                               \n",
       "0335W  27.22227  -81.86353  -0.4064\n",
       "0368W  26.42380  -81.42700  -1.7264\n",
       "0370W  27.00014  -82.07607  -6.6548\n",
       "0465W  25.74262  -80.34718  -1.0160\n",
       "0511W  27.77185  -82.63815 -44.6786\n",
       "0525W  28.10286  -81.62503  -1.8800"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#negative precipitation totals?\n",
    "#that means calculating the totals over multiple days can be messed up\n",
    "#let's remove those for now and figure out what's haywire later\n",
    "df_ppt_neg = df_ppt[df_ppt['TOTALS'] < 0.]\n",
    "df_ppt_neg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# let's remove those rows for too big and negative values\n",
    "# first find which indices are associated with those conditions\n",
    "# then drop and use the inplace=True to keep in the same dataframe\n",
    "df_ppt.drop((df_ppt.loc[df_ppt['TOTALS']<0.].index), inplace=True)\n",
    "df_ppt.drop((df_ppt.loc[df_ppt['TOTALS']>75.].index), inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          LATITUDE    LONGITUDE       TOTALS\n",
      "count  1324.000000  1324.000000  1324.000000\n",
      "mean     28.377458   -82.300921     7.849287\n",
      "std       1.697784     1.883600    10.375621\n",
      "min       9.004970   -87.500500     0.000000\n",
      "5%       25.785583   -86.568892     0.000000\n",
      "10%      26.146605   -85.486780     0.000000\n",
      "25%      27.198903   -82.788427     0.000000\n",
      "33%      27.707720   -82.570070     0.218186\n",
      "50%      28.202585   -81.910250     4.737100\n",
      "66%      29.358076   -81.317826     8.970772\n",
      "75%      30.047232   -80.899933    10.947500\n",
      "90%      30.488252   -80.266960    20.119340\n",
      "95%      30.658355   -80.162277    28.503615\n",
      "max      30.974020   -79.589440    73.685600\n"
     ]
    }
   ],
   "source": [
    "# get some of the basic stats to check\n",
    "basic_vals = df_ppt.describe(percentiles=[.05,.10,.25,.33,.50,.66,.75,.90,.95])\n",
    "print(basic_vals)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f329509f4ec5433384d165a09ae7f2f6",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=1000.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(header_visible=False, toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Bac…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the cumulative histogram for precipitation in Florida\n",
    "fig1,ax = plt.subplots(1,1,figsize=(10,5))\n",
    "# Hide the Figure name at the top of the figure\n",
    "fig1.canvas.header_visible = False\n",
    "# Always showthe toolbar\n",
    "fig1.canvas.toolbar_visible = True\n",
    "#using the numpy array p defined earlier\n",
    "n_bins = len(p)\n",
    "n, bins, patches = ax.hist(p, n_bins, density='True', histtype='step',\n",
    "                           cumulative=True, label='Empirical')\n",
    "ax.set(xlabel=\"Precipitation (cm)\",ylabel='Cumulative Empirical Probability')\n",
    "ax.set(xlim=(0,42.))\n",
    "ax.set_xticks(np.arange(0,42.,step=2))\n",
    "ax.set_yticks(np.arange(0, 1.1, step=0.10))\n",
    "ax.grid(linestyle='--', color='grey', linewidth=.2)\n",
    "ax.set(title=\"Florida Precipitation (cm)\")\n",
    "plt.savefig('fl_ppt.png')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        LATITUDE  LONGITUDE   TOTALS\n",
      "STID                                \n",
      "KDAB   29.173540 -81.071860  34.9952\n",
      "KMCO   28.418260 -81.324130  33.5320\n",
      "KSFB   28.783330 -81.250000  40.8988\n",
      "KTTS   28.616670 -80.700000  28.5537\n",
      "MRFF1  28.640833 -80.730833  31.2170\n",
      "...          ...        ...      ...\n",
      "1980W  26.462070 -80.078610  26.2890\n",
      "PNAFL  28.080900 -81.411400  26.1366\n",
      "1991W  28.181830 -82.159180  26.8478\n",
      "1993W  26.703140 -80.035940  23.5204\n",
      "2000W  26.204600 -80.124010  20.5994\n",
      "\n",
      "[137 rows x 3 columns]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6ff45e25cd6548ccb05bf8964da50aab",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
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       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=500.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(header_visible=False, toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Bac…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig2 = plt.figure(figsize=(5,10))\n",
    "# Hide the Figure name at the top of the figure\n",
    "fig2.canvas.header_visible = False\n",
    "# Always showthe toolbar\n",
    "fig2.canvas.toolbar_visible = True\n",
    "#define that the most basic projection: cylindricl equidistant: equal in lat and lon\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "#what part of the globe?\n",
    "ax.set_extent([-85., -78., 23.5, 32.], ccrs.PlateCarree())\n",
    "#dd state outlines\n",
    "states = cartopy.feature.NaturalEarthFeature(\n",
    "                    category='cultural', scale='50m', facecolor='none',\n",
    "                    name='admin_1_states_provinces')\n",
    "ax.add_feature(states,zorder=2,edgecolor='darkslategrey',linewidth=0.8,alpha = 0.5)\n",
    "\n",
    "# get locations as numpy arrays for plotting\n",
    "x = df_ppt.LONGITUDE.to_numpy()\n",
    "y = df_ppt.LATITUDE.to_numpy()\n",
    "\n",
    "#plot all locations with a black dot\n",
    "plt.scatter(x,y,zorder=2,s=5,c=\"grey\")\n",
    "\n",
    "#plot places with more than 20 cm as a larger green dot\n",
    "#which locations have more than 20 cm?\n",
    "p_gt_20 = df_ppt[df_ppt['TOTALS'] >= 20.]\n",
    "print(p_gt_20)\n",
    "x_g20 = p_gt_20.LONGITUDE.to_numpy()\n",
    "y_g20 = p_gt_20.LATITUDE.to_numpy()\n",
    "plt.scatter(x_g20,y_g20,zorder=10,s=20,c=\"green\")\n",
    "\n",
    "#wrap up\n",
    "ax.set_title('Florida Rainfall totals (cm) %s : %s UTC' % (start_time, end_time), fontsize=12)\n",
    "plt.show()\n",
    "plt.savefig('florida_rainfall_totals.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        LATITUDE  LONGITUDE  TOTALS\n",
      "STID                               \n",
      "SURF1  30.020560 -84.986110     0.0\n",
      "KFPY   30.070810 -83.581540     0.0\n",
      "KAAF   29.726940 -85.024720     0.0\n",
      "KCEW   30.772220 -86.520000     0.0\n",
      "KCTY   29.633326 -83.105458     0.0\n",
      "...          ...        ...     ...\n",
      "1950W  29.636110 -83.126900     0.0\n",
      "G2219  27.758670 -82.725500     0.0\n",
      "SSEUH  28.759110 -81.523410     0.0\n",
      "2003W  30.535960 -84.213330     0.0\n",
      "G2392  28.496330 -81.601170     0.0\n",
      "\n",
      "[389 rows x 3 columns]\n",
      "0 0369W 985.777 986 -81.77957 26.46131\n",
      "1 0834W 895.9338 896 -80.95339 29.12042\n",
      "2 1334W 82.95700000000001 83 -81.18766 29.57435\n",
      "3 1342W 76.174 76 -81.40158 28.62773\n",
      "4 SSSBU 304.416 304 -80.10982 26.09212\n",
      "5 1866W 90.04339999999999 90 -81.22758 29.26585\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "801c94f597d44689aca05273f909ebd1",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
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       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=500.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(header_visible=False, toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Bac…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#what about possible outliers, where are they?\n",
    "# > 75., < 0., and == 0.\n",
    "fig3 = plt.figure(figsize=(5,10))\n",
    "# Hide the Figure name at the top of the figure\n",
    "fig3.canvas.header_visible = False\n",
    "# Always showthe toolbar\n",
    "fig3.canvas.toolbar_visible = True\n",
    "#define that the most basic projection: cylindricl equidistant: equal in lat and lon\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "#what part of the globe?\n",
    "ax.set_extent([-85., -78., 23.5, 32.], ccrs.PlateCarree())\n",
    "# state outlines\n",
    "states = cartopy.feature.NaturalEarthFeature(\n",
    "                    category='cultural', scale='50m', facecolor='none',\n",
    "                    name='admin_1_states_provinces')\n",
    "ax.add_feature(states,zorder=2,edgecolor='darkslategrey',linewidth=0.8,alpha = 0.5)\n",
    "\n",
    "# get locations as numpy arrays for plotting\n",
    "x = df_ppt.LONGITUDE.to_numpy()\n",
    "y = df_ppt.LATITUDE.to_numpy()\n",
    "\n",
    "#plot all locations with a grey dot\n",
    "plt.scatter(x,y,zorder=2,s=5,c=\"grey\")\n",
    "\n",
    "#plot places eq 0 cm as a red dot\n",
    "p_eq0 = df_ppt[df_ppt['TOTALS'] == 0.]\n",
    "print(p_eq0)\n",
    "x_eq0 = p_eq0.LONGITUDE.to_numpy()\n",
    "y_eq0 = p_eq0.LATITUDE.to_numpy()\n",
    "plt.scatter(x_eq0,y_eq0,zorder=10,s=20,c=\"red\")\n",
    "\n",
    "#plot places  < 0 cm as a yellow dot\n",
    "x_neg = df_ppt_neg.LONGITUDE.to_numpy()\n",
    "y_neg = df_ppt_neg.LATITUDE.to_numpy()\n",
    "plt.scatter(x_neg,y_neg,zorder=10,s=20,c=\"yellow\")\n",
    "\n",
    "#plot places  > 75 cm as a blue dot\n",
    "x_big = df_ppt_big.LONGITUDE.to_numpy()\n",
    "y_big = df_ppt_big.LATITUDE.to_numpy()\n",
    "plt.scatter(x_big,y_big,zorder=10,s=20,c=\"blue\")\n",
    "\n",
    "#where are the big values and what are their values?\n",
    "#have to loop over all cases\n",
    "for i, tot in enumerate(df_ppt_big.TOTALS.to_numpy()):\n",
    "    # get the station id\n",
    "    stid = df_ppt_big.index[i]\n",
    "    # save the total as a string\n",
    "    str_tot = \"%.d\" % np.round(tot)\n",
    "    print(i,stid,tot,str_tot,x_big[i],y_big[i])\n",
    "    #label the big totals\n",
    "    ax.annotate(str_tot, (x_big[i], y_big[i]),size='large')\n",
    "\n",
    "#wrap up\n",
    "ax.set_title('Spurious Florida Rainfall totals (cm) %s : %s UTC' % (start_time, end_time), fontsize=12)\n",
    "plt.savefig('florida_rainfall_totals_spurious.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# October 4 In-Class Exercise\n",
    "\n",
    "In the cell immediately above:\n",
    "- modify one line to label the locations of the big totals by the STID rather than the total\n",
    "- copy  some lines to label the locations of the negative totals\n",
    "- modify the figure title so it includes your unid (no name)\n",
    "- copy the resulting figure to the class Teams page"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# more to follow!\n",
    "\n",
    "- are all the really large values realistic?\n",
    "- what happens when the power goes out?\n",
    "- how do we curate the data to get a better estimate of total rainfall?\n"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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