OpenWeatherMapAPI_Data Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Weather Analysis Using Open Weather API\n",
    "\n",
    "----\n",
    "\n",
    "### Analysis\n",
    "* As expected, the weather becomes significantly warmer as one approaches the equator (0 Deg. Latitude). More interestingly, however, is the fact that the southern hemisphere tends to be warmer this time of year than the northern hemisphere. This may be due to the tilt of the earth.\n",
    "* There is no strong relationship between latitude and cloudiness. However, it is interesting to see that a strong band of cities sits at 0, 80, and 100% cloudiness.\n",
    "* There is no strong relationship between latitude and wind speed. However, in northern hemispheres there is a flurry of cities with over 20 mph of wind.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Dependencies and Setup\n",
    "%matplotlib notebook\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import json\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import requests\n",
    "import time\n",
    "from pprint import pprint\n",
    "import os\n",
    "import csv\n",
    "\n",
    "# Import API key\n",
    "from wapik_blooms import api_key\n",
    "\n",
    "# Incorporated citipy to determine city based on latitude and longitude\n",
    "from citipy import citipy\n",
    "\n",
    "# Output File (CSV)\n",
    "output_data_file = \"output_data/cities.csv\"\n",
    "\n",
    "# Range of latitudes and longitudes\n",
    "lat_range = (-90, 90)\n",
    "lng_range = (-180, 180)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate Cities List"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "596"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# List for holding lat_lngs and cities\n",
    "lat_lngs = []\n",
    "cities = []\n",
    "\n",
    "# Create a set of random lat and lng combinations\n",
    "lats = np.random.uniform(low=-90.000, high=90.000, size=1500)\n",
    "lngs = np.random.uniform(low=-180.000, high=180.000, size=1500)\n",
    "lat_lngs = zip(lats, lngs)\n",
    "\n",
    "# Identify nearest city for each lat, lng combination\n",
    "for lat_lng in lat_lngs:\n",
    "    city = citipy.nearest_city(lat_lng[0], lat_lng[1]).city_name\n",
    "    \n",
    "    # If the city is unique, then add it to a our cities list\n",
    "    if city not in cities:\n",
    "        cities.append(city)\n",
    "\n",
    "# Print the city count to confirm sufficient count\n",
    "len(cities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "#print(cities)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Perform API Calls\n",
    "* Performed a weather check on each city using a series of successive API calls.\n",
    "* Included a print log of each city as it'sbeing processed (with the city number and city name)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "http://api.openweathermap.org/data/2.5/weather?appid=6e01409e508e9c452a34604334dd7a3c&q=\n",
      "Beginning Data Retrieval\n",
      "------------------------------\n",
      "Processing Record 0 of Set 1 | Balimo\n",
      "The requested city of: Balimo was not found. Skipping...\n",
      "Processing Record 1 of Set 1 | Guerrero Negro\n",
      "Processing Record 2 of Set 1 | Albany\n",
      "Processing Record 3 of Set 1 | Vaini\n",
      "Processing Record 4 of Set 1 | Kununurra\n",
      "Processing Record 5 of Set 1 | Castro\n",
      "Processing Record 6 of Set 1 | Ondorhaan\n",
      "The requested city of: Ondorhaan was not found. Skipping...\n",
      "Processing Record 7 of Set 1 | Ushuaia\n",
      "Processing Record 8 of Set 1 | Qaanaaq\n",
      "Processing Record 9 of Set 1 | Harlingen\n",
      "Processing Record 10 of Set 1 | Bengkulu\n",
      "The requested city of: Bengkulu was not found. Skipping...\n",
      "Processing Record 11 of Set 1 | Nikolskoye\n",
      "Processing Record 12 of Set 1 | Musoma\n",
      "Processing Record 13 of Set 1 | Srednekolymsk\n",
      "Processing Record 14 of Set 1 | Hobart\n",
      "Processing Record 15 of Set 1 | Khandyga\n",
      "Processing Record 16 of Set 1 | Hilo\n",
      "Processing Record 17 of Set 1 | Talnakh\n",
      "Processing Record 18 of Set 1 | Hermanus\n",
      "Processing Record 19 of Set 1 | Lasa\n",
      "Processing Record 20 of Set 1 | Qui Nhon\n",
      "The requested city of: Qui Nhon was not found. Skipping...\n",
      "Processing Record 21 of Set 1 | Aberdeen\n",
      "Processing Record 22 of Set 1 | New Norfolk\n",
      "Processing Record 23 of Set 1 | Rikitea\n",
      "Processing Record 24 of Set 1 | Kieta\n",
      "Processing Record 25 of Set 1 | Show Low\n",
      "Processing Record 26 of Set 1 | Butaritari\n",
      "Processing Record 27 of Set 1 | Bluff\n",
      "Processing Record 28 of Set 1 | Rawson\n",
      "Processing Record 29 of Set 1 | Busselton\n",
      "Processing Record 30 of Set 1 | Cape Town\n",
      "Processing Record 31 of Set 1 | Cherskiy\n",
      "Processing Record 32 of Set 1 | Lamu\n",
      "Processing Record 33 of Set 1 | Sentyabrskiy\n",
      "The requested city of: Sentyabrskiy was not found. Skipping...\n",
      "Processing Record 34 of Set 1 | Norman Wells\n",
      "Processing Record 35 of Set 1 | Ribeira Grande\n",
      "Processing Record 36 of Set 1 | Yellowknife\n",
      "Processing Record 37 of Set 1 | Isangel\n",
      "Processing Record 38 of Set 1 | Kapaa\n",
      "Processing Record 39 of Set 1 | Belushya Guba\n",
      "The requested city of: Belushya Guba was not found. Skipping...\n",
      "Processing Record 40 of Set 1 | Airai\n",
      "Processing Record 41 of Set 1 | Sioux Lookout\n",
      "Processing Record 42 of Set 1 | Bad Frankenhausen\n",
      "Processing Record 43 of Set 1 | Umaria\n",
      "Processing Record 44 of Set 1 | East London\n",
      "Processing Record 45 of Set 1 | Luderitz\n",
      "Processing Record 46 of Set 1 | Mar Del Plata\n",
      "Processing Record 47 of Set 1 | Mataura\n",
      "Processing Record 48 of Set 1 | Avarua\n",
      "Processing Record 49 of Set 1 | Arona\n",
      "Processing Record 50 of Set 1 | Ancud\n",
      "Processing Record 1 of Set 2 | Nanortalik\n",
      "Processing Record 2 of Set 2 | Ijaki\n",
      "The requested city of: Ijaki was not found. Skipping...\n",
      "Processing Record 3 of Set 2 | Naziya\n",
      "Processing Record 4 of Set 2 | Bethel\n",
      "Processing Record 5 of Set 2 | Port Alfred\n",
      "Processing Record 6 of Set 2 | Amderma\n",
      "The requested city of: Amderma was not found. Skipping...\n",
      "Processing Record 7 of Set 2 | Severo-Kurilsk\n",
      "Processing Record 8 of Set 2 | Padang\n",
      "Processing Record 9 of Set 2 | Fairbanks\n",
      "Processing Record 10 of Set 2 | Lerwick\n",
      "Processing Record 11 of Set 2 | Tuktoyaktuk\n",
      "Processing Record 12 of Set 2 | Wilmington\n",
      "Processing Record 13 of Set 2 | Port Elizabeth\n",
      "Processing Record 14 of Set 2 | Punta Arenas\n",
      "Processing Record 15 of Set 2 | Ahipara\n",
      "Processing Record 16 of Set 2 | Sevierville\n",
      "Processing Record 17 of Set 2 | Bo\n",
      "The requested city of: Bo was not found. Skipping...\n",
      "Processing Record 18 of Set 2 | Broken Hill\n",
      "Processing Record 19 of Set 2 | Petropavlovsk-Kamchatskiy\n",
      "Processing Record 20 of Set 2 | Ginir\n",
      "Processing Record 21 of Set 2 | Ponta Do Sol\n",
      "Processing Record 22 of Set 2 | Faanui\n",
      "Processing Record 23 of Set 2 | Asifabad\n",
      "Processing Record 24 of Set 2 | Ouesso\n",
      "Processing Record 25 of Set 2 | Waipawa\n",
      "Processing Record 26 of Set 2 | Tasiilaq\n",
      "Processing Record 27 of Set 2 | Masvingo\n",
      "Processing Record 28 of Set 2 | Carnarvon\n",
      "Processing Record 29 of Set 2 | Luganville\n",
      "Processing Record 30 of Set 2 | Medea\n",
      "Processing Record 31 of Set 2 | Barrow\n",
      "Processing Record 32 of Set 2 | Bambous Virieux\n",
      "Processing Record 33 of Set 2 | Naryan-Mar\n",
      "Processing Record 34 of Set 2 | Mahaicony\n",
      "The requested city of: Mahaicony was not found. Skipping...\n",
      "Processing Record 35 of Set 2 | Sitka\n",
      "Processing Record 36 of Set 2 | Mount Isa\n",
      "Processing Record 37 of Set 2 | Shieli\n",
      "Processing Record 38 of Set 2 | Sao Felix Do Xingu\n",
      "Processing Record 39 of Set 2 | Mrirt\n",
      "The requested city of: Mrirt was not found. Skipping...\n",
      "Processing Record 40 of Set 2 | Chuy\n",
      "Processing Record 41 of Set 2 | Saint Anthony\n",
      "Processing Record 42 of Set 2 | Hasanabad\n",
      "Processing Record 43 of Set 2 | Tabivere\n",
      "Processing Record 44 of Set 2 | Dolbeau\n",
      "The requested city of: Dolbeau was not found. Skipping...\n",
      "Processing Record 45 of Set 2 | Bredasdorp\n",
      "Processing Record 46 of Set 2 | Thompson\n",
      "Processing Record 47 of Set 2 | Jieshi\n",
      "Processing Record 48 of Set 2 | Sao Joao Da Barra\n",
      "Processing Record 49 of Set 2 | Fomboni\n",
      "Processing Record 50 of Set 2 | Inderborskiy\n",
      "The requested city of: Inderborskiy was not found. Skipping...\n",
      "Processing Record 1 of Set 3 | Yarmouth\n",
      "Processing Record 2 of Set 3 | Saldanha\n",
      "Processing Record 3 of Set 3 | Kaitangata\n",
      "Processing Record 4 of Set 3 | Necochea\n",
      "Processing Record 5 of Set 3 | Popondetta\n",
      "Processing Record 6 of Set 3 | Teshie\n",
      "Processing Record 7 of Set 3 | Illoqqortoormiut\n",
      "The requested city of: Illoqqortoormiut was not found. Skipping...\n",
      "Processing Record 8 of Set 3 | Fortuna\n",
      "Processing Record 9 of Set 3 | Lhokseumawe\n",
      "Processing Record 10 of Set 3 | Longyearbyen\n",
      "Processing Record 11 of Set 3 | Samusu\n",
      "The requested city of: Samusu was not found. Skipping...\n",
      "Processing Record 12 of Set 3 | Manta\n",
      "Processing Record 13 of Set 3 | Attawapiskat\n",
      "The requested city of: Attawapiskat was not found. Skipping...\n",
      "Processing Record 14 of Set 3 | Richards Bay\n",
      "Processing Record 15 of Set 3 | Grenada\n",
      "Processing Record 16 of Set 3 | Georgetown\n",
      "Processing Record 17 of Set 3 | Carmelo\n",
      "Processing Record 18 of Set 3 | Cidreira\n",
      "Processing Record 19 of Set 3 | Barentsburg\n",
      "The requested city of: Barentsburg was not found. Skipping...\n",
      "Processing Record 20 of Set 3 | Itacoatiara\n",
      "Processing Record 21 of Set 3 | Torbay\n",
      "Processing Record 22 of Set 3 | Toliary\n",
      "The requested city of: Toliary was not found. Skipping...\n",
      "Processing Record 23 of Set 3 | Mackenzie\n",
      "Processing Record 24 of Set 3 | Jucurutu\n",
      "Processing Record 25 of Set 3 | Puerto Ayora\n",
      "Processing Record 26 of Set 3 | Urambo\n",
      "Processing Record 27 of Set 3 | Taolanaro\n",
      "The requested city of: Taolanaro was not found. Skipping...\n",
      "Processing Record 28 of Set 3 | Margate\n",
      "Processing Record 29 of Set 3 | Baijiantan\n",
      "Processing Record 30 of Set 3 | Saleaula\n",
      "The requested city of: Saleaula was not found. Skipping...\n",
      "Processing Record 31 of Set 3 | Lebu\n",
      "Processing Record 32 of Set 3 | Bantou\n",
      "Processing Record 33 of Set 3 | Olafsvik\n",
      "The requested city of: Olafsvik was not found. Skipping...\n",
      "Processing Record 34 of Set 3 | Puerto Del Rosario\n",
      "Processing Record 35 of Set 3 | Camacha\n",
      "Processing Record 36 of Set 3 | Fort Nelson\n",
      "Processing Record 37 of Set 3 | Loiza\n",
      "Processing Record 38 of Set 3 | Potsdam\n",
      "Processing Record 39 of Set 3 | Leshukonskoye\n",
      "Processing Record 40 of Set 3 | Tuatapere\n",
      "Processing Record 41 of Set 3 | Prince Rupert\n",
      "Processing Record 42 of Set 3 | Changli\n",
      "Processing Record 43 of Set 3 | Namatanai\n",
      "Processing Record 44 of Set 3 | Bilma\n",
      "Processing Record 45 of Set 3 | Karratha\n",
      "Processing Record 46 of Set 3 | Narsaq\n",
      "Processing Record 47 of Set 3 | Lewisporte\n",
      "Processing Record 48 of Set 3 | Dashitou\n",
      "Processing Record 49 of Set 3 | Temaraia\n",
      "The requested city of: Temaraia was not found. Skipping...\n",
      "Processing Record 50 of Set 3 | Esperance\n",
      "Processing Record 1 of Set 4 | Victoria\n",
      "Processing Record 2 of Set 4 | Wajid\n",
      "Processing Record 3 of Set 4 | Yar-Sale\n",
      "Processing Record 4 of Set 4 | Iqaluit\n",
      "Processing Record 5 of Set 4 | Jati\n",
      "Processing Record 6 of Set 4 | Ruidoso\n",
      "Processing Record 7 of Set 4 | Porto Nacional\n",
      "Processing Record 8 of Set 4 | Dikson\n",
      "Processing Record 9 of Set 4 | Jamestown\n",
      "Processing Record 10 of Set 4 | Praya\n",
      "Processing Record 11 of Set 4 | Hammerfest\n",
      "Processing Record 12 of Set 4 | Belmonte\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing Record 13 of Set 4 | Liuhe\n",
      "Processing Record 14 of Set 4 | Umzimvubu\n",
      "The requested city of: Umzimvubu was not found. Skipping...\n",
      "Processing Record 15 of Set 4 | Lengshuijiang\n",
      "Processing Record 16 of Set 4 | Aklavik\n",
      "Processing Record 17 of Set 4 | Lagoa\n",
      "Processing Record 18 of Set 4 | Provideniya\n",
      "Processing Record 19 of Set 4 | Chubbuck\n",
      "Processing Record 20 of Set 4 | Glyadyanskoye\n",
      "Processing Record 21 of Set 4 | Novaya Zaimka\n",
      "Processing Record 22 of Set 4 | Sri Aman\n",
      "Processing Record 23 of Set 4 | San Patricio\n",
      "Processing Record 24 of Set 4 | Chokurdakh\n",
      "Processing Record 25 of Set 4 | Arlit\n",
      "Processing Record 26 of Set 4 | Nsanje\n",
      "Processing Record 27 of Set 4 | Cabo San Lucas\n",
      "Processing Record 28 of Set 4 | Porto Walter\n",
      "Processing Record 29 of Set 4 | Ilulissat\n",
      "Processing Record 30 of Set 4 | Tilichiki\n",
      "Processing Record 31 of Set 4 | Tsihombe\n",
      "The requested city of: Tsihombe was not found. Skipping...\n",
      "Processing Record 32 of Set 4 | Deputatskiy\n",
      "Processing Record 33 of Set 4 | Kodiak\n",
      "Processing Record 34 of Set 4 | Copala\n",
      "Processing Record 35 of Set 4 | Shakawe\n",
      "Processing Record 36 of Set 4 | Belaya Gora\n",
      "Processing Record 37 of Set 4 | Nguiu\n",
      "The requested city of: Nguiu was not found. Skipping...\n",
      "Processing Record 38 of Set 4 | Saint-Philippe\n",
      "Processing Record 39 of Set 4 | Mahebourg\n",
      "Processing Record 40 of Set 4 | Manokwari\n",
      "Processing Record 41 of Set 4 | Goderich\n",
      "Processing Record 42 of Set 4 | Vestmannaeyjar\n",
      "Processing Record 43 of Set 4 | Dingle\n",
      "Processing Record 44 of Set 4 | Alofi\n",
      "Processing Record 45 of Set 4 | Kavieng\n",
      "Processing Record 46 of Set 4 | Mitsamiouli\n",
      "Processing Record 47 of Set 4 | Denpasar\n",
      "Processing Record 48 of Set 4 | Arraial Do Cabo\n",
      "Processing Record 49 of Set 4 | Oxkutzcab\n",
      "Processing Record 50 of Set 4 | Hwange\n",
      "Processing Record 1 of Set 5 | Gizo\n",
      "Processing Record 2 of Set 5 | Fevralsk\n",
      "The requested city of: Fevralsk was not found. Skipping...\n",
      "Processing Record 3 of Set 5 | Talah\n",
      "The requested city of: Talah was not found. Skipping...\n",
      "Processing Record 4 of Set 5 | Hofn\n",
      "Processing Record 5 of Set 5 | Kalanguy\n",
      "Processing Record 6 of Set 5 | Shawville\n",
      "Processing Record 7 of Set 5 | Le Port\n",
      "Processing Record 8 of Set 5 | Sur\n",
      "Processing Record 9 of Set 5 | Maridi\n",
      "The requested city of: Maridi was not found. Skipping...\n",
      "Processing Record 10 of Set 5 | Muros\n",
      "Processing Record 11 of Set 5 | Atuona\n",
      "Processing Record 12 of Set 5 | Gat\n",
      "Processing Record 13 of Set 5 | Imeni Poliny Osipenko\n",
      "Processing Record 14 of Set 5 | Verkhnechusovskiye Gorodki\n",
      "Processing Record 15 of Set 5 | Paraiso\n",
      "Processing Record 16 of Set 5 | Buraydah\n",
      "Processing Record 17 of Set 5 | Great Falls\n",
      "Processing Record 18 of Set 5 | Sola\n",
      "Processing Record 19 of Set 5 | Tahoua\n",
      "Processing Record 20 of Set 5 | Moose Factory\n",
      "Processing Record 21 of Set 5 | Lompoc\n",
      "Processing Record 22 of Set 5 | Serov\n",
      "Processing Record 23 of Set 5 | Omboue\n",
      "Processing Record 24 of Set 5 | Saint Leonard\n",
      "Processing Record 25 of Set 5 | Saskylakh\n",
      "Processing Record 26 of Set 5 | Impfondo\n",
      "Processing Record 27 of Set 5 | Changqing\n",
      "Processing Record 28 of Set 5 | Raudeberg\n",
      "Processing Record 29 of Set 5 | Mount Gambier\n",
      "Processing Record 30 of Set 5 | Grand River South East\n",
      "The requested city of: Grand River South East was not found. Skipping...\n",
      "Processing Record 31 of Set 5 | Chitral\n",
      "Processing Record 32 of Set 5 | Marawi\n",
      "Processing Record 33 of Set 5 | Bijie\n",
      "Processing Record 34 of Set 5 | Chingirlau\n",
      "Processing Record 35 of Set 5 | Kavaratti\n",
      "Processing Record 36 of Set 5 | Umm Durman\n",
      "The requested city of: Umm Durman was not found. Skipping...\n",
      "Processing Record 37 of Set 5 | Yomitan\n",
      "The requested city of: Yomitan was not found. Skipping...\n",
      "Processing Record 38 of Set 5 | Korla\n",
      "The requested city of: Korla was not found. Skipping...\n",
      "Processing Record 39 of Set 5 | Pisco\n",
      "Processing Record 40 of Set 5 | Tiksi\n",
      "Processing Record 41 of Set 5 | Sinnamary\n",
      "Processing Record 42 of Set 5 | Lamar\n",
      "Processing Record 43 of Set 5 | Dunedin\n",
      "Processing Record 44 of Set 5 | Yeppoon\n",
      "Processing Record 45 of Set 5 | Lebyazhye\n",
      "Processing Record 46 of Set 5 | Vostok\n",
      "Processing Record 47 of Set 5 | Matagami\n",
      "Processing Record 48 of Set 5 | Khatanga\n",
      "Processing Record 49 of Set 5 | Yuzhnyy\n",
      "Processing Record 50 of Set 5 | Sandviken\n",
      "Processing Record 1 of Set 6 | La Esperanza\n",
      "Processing Record 2 of Set 6 | Puerto Escondido\n",
      "Processing Record 3 of Set 6 | Paita\n",
      "Processing Record 4 of Set 6 | Mount Pleasant\n",
      "Processing Record 5 of Set 6 | Hirara\n",
      "Processing Record 6 of Set 6 | Redlands\n",
      "Processing Record 7 of Set 6 | Lahad Datu\n",
      "Processing Record 8 of Set 6 | Gari\n",
      "Processing Record 9 of Set 6 | Pecigrad\n",
      "Processing Record 10 of Set 6 | Trincomalee\n",
      "Processing Record 11 of Set 6 | Wuwei\n",
      "Processing Record 12 of Set 6 | Guajara-Mirim\n",
      "The requested city of: Guajara-Mirim was not found. Skipping...\n",
      "Processing Record 13 of Set 6 | Maumere\n",
      "Processing Record 14 of Set 6 | Kracheh\n",
      "The requested city of: Kracheh was not found. Skipping...\n",
      "Processing Record 15 of Set 6 | Horta\n",
      "Processing Record 16 of Set 6 | Los Llanos De Aridane\n",
      "Processing Record 17 of Set 6 | Tukums\n",
      "Processing Record 18 of Set 6 | Hithadhoo\n",
      "Processing Record 19 of Set 6 | Murgab\n",
      "Processing Record 20 of Set 6 | Adjumani\n",
      "Processing Record 21 of Set 6 | Zaysan\n",
      "Processing Record 22 of Set 6 | Buchanan\n",
      "Processing Record 23 of Set 6 | Faya\n",
      "Processing Record 24 of Set 6 | La Ronge\n",
      "Processing Record 25 of Set 6 | Kangaatsiaq\n",
      "Processing Record 26 of Set 6 | Talcahuano\n",
      "Processing Record 27 of Set 6 | Ola\n",
      "Processing Record 28 of Set 6 | Houma\n",
      "Processing Record 29 of Set 6 | Veraval\n",
      "Processing Record 30 of Set 6 | Auki\n",
      "Processing Record 31 of Set 6 | Nishihara\n",
      "Processing Record 32 of Set 6 | Mkushi\n",
      "Processing Record 33 of Set 6 | Rorvik\n",
      "Processing Record 34 of Set 6 | San Quintin\n",
      "Processing Record 35 of Set 6 | Ballina\n",
      "Processing Record 36 of Set 6 | Adrar\n",
      "Processing Record 37 of Set 6 | Santa Rosa\n",
      "Processing Record 38 of Set 6 | Karatau\n",
      "Processing Record 39 of Set 6 | Pangnirtung\n",
      "Processing Record 40 of Set 6 | Sabla\n",
      "Processing Record 41 of Set 6 | Tezu\n",
      "Processing Record 42 of Set 6 | Saint-Francois\n",
      "Processing Record 43 of Set 6 | Chokwe\n",
      "The requested city of: Chokwe was not found. Skipping...\n",
      "Processing Record 44 of Set 6 | Inuvik\n",
      "Processing Record 45 of Set 6 | Kamenskoye\n",
      "The requested city of: Kamenskoye was not found. Skipping...\n",
      "Processing Record 46 of Set 6 | Seydi\n",
      "Processing Record 47 of Set 6 | High Level\n",
      "Processing Record 48 of Set 6 | Bur Gabo\n",
      "The requested city of: Bur Gabo was not found. Skipping...\n",
      "Processing Record 49 of Set 6 | Ituporanga\n",
      "Processing Record 50 of Set 6 | Pogonsili\n",
      "The requested city of: Pogonsili was not found. Skipping...\n",
      "Processing Record 1 of Set 7 | Ayr\n",
      "Processing Record 2 of Set 7 | Carballo\n",
      "Processing Record 3 of Set 7 | Lotoshino\n",
      "Processing Record 4 of Set 7 | Kungalv\n",
      "Processing Record 5 of Set 7 | La Orilla\n",
      "Processing Record 6 of Set 7 | Komsomolskiy\n",
      "Processing Record 7 of Set 7 | Mayor Pablo Lagerenza\n",
      "Processing Record 8 of Set 7 | Ozgon\n",
      "The requested city of: Ozgon was not found. Skipping...\n",
      "Processing Record 9 of Set 7 | San Juan\n",
      "Processing Record 10 of Set 7 | Pauini\n",
      "Processing Record 11 of Set 7 | Grindavik\n",
      "Processing Record 12 of Set 7 | Monroe\n",
      "Processing Record 13 of Set 7 | Buseresere\n",
      "Processing Record 14 of Set 7 | Cuamba\n",
      "Processing Record 15 of Set 7 | Souillac\n",
      "Processing Record 16 of Set 7 | Cabra\n",
      "Processing Record 17 of Set 7 | Quelimane\n",
      "Processing Record 18 of Set 7 | Zakharovo\n",
      "Processing Record 19 of Set 7 | Diffa\n",
      "Processing Record 20 of Set 7 | Tanout\n",
      "Processing Record 21 of Set 7 | Takoradi\n",
      "Processing Record 22 of Set 7 | Villa Carlos Paz\n",
      "Processing Record 23 of Set 7 | Halifax\n",
      "Processing Record 24 of Set 7 | Arman\n",
      "Processing Record 25 of Set 7 | Mys Shmidta\n",
      "The requested city of: Mys Shmidta was not found. Skipping...\n",
      "Processing Record 26 of Set 7 | Ntungamo\n",
      "Processing Record 27 of Set 7 | Lazaro Cardenas\n",
      "Processing Record 28 of Set 7 | Tazovskiy\n",
      "Processing Record 29 of Set 7 | Kirando\n",
      "Processing Record 30 of Set 7 | Yangjiang\n",
      "Processing Record 31 of Set 7 | Carutapera\n",
      "Processing Record 32 of Set 7 | Barra\n",
      "Processing Record 33 of Set 7 | Alugan\n",
      "Processing Record 34 of Set 7 | Carlsbad\n",
      "Processing Record 35 of Set 7 | Lyaskelya\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing Record 36 of Set 7 | Fort Saint John\n",
      "The requested city of: Fort Saint John was not found. Skipping...\n",
      "Processing Record 37 of Set 7 | Kaduqli\n",
      "Processing Record 38 of Set 7 | Katsuura\n",
      "Processing Record 39 of Set 7 | Yabelo\n",
      "Processing Record 40 of Set 7 | Meulaboh\n",
      "Processing Record 41 of Set 7 | Upernavik\n",
      "Processing Record 42 of Set 7 | Nabire\n",
      "Processing Record 43 of Set 7 | Latehar\n",
      "Processing Record 44 of Set 7 | Hamilton\n",
      "Processing Record 45 of Set 7 | Tumannyy\n",
      "The requested city of: Tumannyy was not found. Skipping...\n",
      "Processing Record 46 of Set 7 | Hasaki\n",
      "Processing Record 47 of Set 7 | Touros\n",
      "Processing Record 48 of Set 7 | Suruc\n",
      "Processing Record 49 of Set 7 | Seoul\n",
      "Processing Record 50 of Set 7 | Laguna\n",
      "Processing Record 1 of Set 8 | Mantua\n",
      "Processing Record 2 of Set 8 | Kloulklubed\n",
      "Processing Record 3 of Set 8 | Riaba\n",
      "The requested city of: Riaba was not found. Skipping...\n",
      "Processing Record 4 of Set 8 | Kuusamo\n",
      "Processing Record 5 of Set 8 | Salalah\n",
      "Processing Record 6 of Set 8 | Hay River\n",
      "Processing Record 7 of Set 8 | Ostrovnoy\n",
      "Processing Record 8 of Set 8 | Lolua\n",
      "The requested city of: Lolua was not found. Skipping...\n",
      "Processing Record 9 of Set 8 | Naze\n",
      "Processing Record 10 of Set 8 | Ilave\n",
      "Processing Record 11 of Set 8 | Uyskoye\n",
      "Processing Record 12 of Set 8 | Gumusyaka\n",
      "The requested city of: Gumusyaka was not found. Skipping...\n",
      "Processing Record 13 of Set 8 | Cabedelo\n",
      "Processing Record 14 of Set 8 | Vaitupu\n",
      "The requested city of: Vaitupu was not found. Skipping...\n",
      "Processing Record 15 of Set 8 | Maragogi\n",
      "Processing Record 16 of Set 8 | Pevek\n",
      "Processing Record 17 of Set 8 | Camacupa\n",
      "Processing Record 18 of Set 8 | Hualmay\n",
      "Processing Record 19 of Set 8 | Bireun\n",
      "Processing Record 20 of Set 8 | Buin\n",
      "Processing Record 21 of Set 8 | San Juan Del Sur\n",
      "Processing Record 22 of Set 8 | Rio Gallegos\n",
      "Processing Record 23 of Set 8 | Galich\n",
      "Processing Record 24 of Set 8 | Crab Hill\n",
      "The requested city of: Crab Hill was not found. Skipping...\n",
      "Processing Record 25 of Set 8 | Velten\n",
      "Processing Record 26 of Set 8 | Ixtapa\n",
      "Processing Record 27 of Set 8 | Bathsheba\n",
      "Processing Record 28 of Set 8 | Scarborough\n",
      "Processing Record 29 of Set 8 | Povoa De Varzim\n",
      "Processing Record 30 of Set 8 | Baherden\n",
      "Processing Record 31 of Set 8 | Mazagao\n",
      "Processing Record 32 of Set 8 | Oksfjord\n",
      "Processing Record 33 of Set 8 | Baykit\n",
      "Processing Record 34 of Set 8 | Klaksvik\n",
      "Processing Record 35 of Set 8 | Samarai\n",
      "Processing Record 36 of Set 8 | Flin Flon\n",
      "Processing Record 37 of Set 8 | Manzil Tamim\n",
      "The requested city of: Manzil Tamim was not found. Skipping...\n",
      "Processing Record 38 of Set 8 | Dhrol\n",
      "Processing Record 39 of Set 8 | Eyl\n",
      "Processing Record 40 of Set 8 | Mandalgovi\n",
      "Processing Record 41 of Set 8 | Tucupita\n",
      "Processing Record 42 of Set 8 | Nantucket\n",
      "Processing Record 43 of Set 8 | Along\n",
      "Processing Record 44 of Set 8 | Phan Thiet\n",
      "Processing Record 45 of Set 8 | Ternate\n",
      "Processing Record 46 of Set 8 | San\n",
      "Processing Record 47 of Set 8 | Taranagar\n",
      "Processing Record 48 of Set 8 | Bukama\n",
      "Processing Record 49 of Set 8 | Sherbakul\n",
      "Processing Record 50 of Set 8 | Longhua\n",
      "Processing Record 1 of Set 9 | Benguela\n",
      "Processing Record 2 of Set 9 | Mehamn\n",
      "Processing Record 3 of Set 9 | Yulara\n",
      "Processing Record 4 of Set 9 | Mbanza-Ngungu\n",
      "Processing Record 5 of Set 9 | Valleyview\n",
      "Processing Record 6 of Set 9 | Avera\n",
      "Processing Record 7 of Set 9 | Penzance\n",
      "Processing Record 8 of Set 9 | Tabas\n",
      "Processing Record 9 of Set 9 | Wanaka\n",
      "Processing Record 10 of Set 9 | Labuhan\n",
      "Processing Record 11 of Set 9 | Shuangyang\n",
      "Processing Record 12 of Set 9 | Paamiut\n",
      "Processing Record 13 of Set 9 | Tambopata\n",
      "The requested city of: Tambopata was not found. Skipping...\n",
      "Processing Record 14 of Set 9 | Marystown\n",
      "Processing Record 15 of Set 9 | Kjollefjord\n",
      "Processing Record 16 of Set 9 | Konza\n",
      "Processing Record 17 of Set 9 | North Bend\n",
      "Processing Record 18 of Set 9 | Zaterechnyy\n",
      "Processing Record 19 of Set 9 | Uaua\n",
      "Processing Record 20 of Set 9 | Flinders\n",
      "Processing Record 21 of Set 9 | Polewali\n",
      "Processing Record 22 of Set 9 | Port Keats\n",
      "Processing Record 23 of Set 9 | Sussex\n",
      "Processing Record 24 of Set 9 | Toftir\n",
      "The requested city of: Toftir was not found. Skipping...\n",
      "Processing Record 25 of Set 9 | Kiunga\n",
      "Processing Record 26 of Set 9 | Kailua\n",
      "Processing Record 27 of Set 9 | Vila Velha\n",
      "Processing Record 28 of Set 9 | Morki\n",
      "Processing Record 29 of Set 9 | Gimli\n",
      "Processing Record 30 of Set 9 | Toyooka\n",
      "Processing Record 31 of Set 9 | Narrabri\n",
      "Processing Record 32 of Set 9 | Mwinilunga\n",
      "Processing Record 33 of Set 9 | Yenagoa\n",
      "Processing Record 34 of Set 9 | Noyabrsk\n",
      "Processing Record 35 of Set 9 | Moses Lake\n",
      "Processing Record 36 of Set 9 | Teguise\n",
      "Processing Record 37 of Set 9 | Caravelas\n",
      "Processing Record 38 of Set 9 | Olinda\n",
      "Processing Record 39 of Set 9 | Portland\n",
      "Processing Record 40 of Set 9 | Voh\n",
      "Processing Record 41 of Set 9 | Port Hardy\n",
      "Processing Record 42 of Set 9 | Mana\n",
      "Processing Record 43 of Set 9 | Troitskoye\n",
      "Processing Record 44 of Set 9 | Hihifo\n",
      "The requested city of: Hihifo was not found. Skipping...\n",
      "Processing Record 45 of Set 9 | Jalu\n",
      "Processing Record 46 of Set 9 | Ketchikan\n",
      "Processing Record 47 of Set 9 | Sao Filipe\n",
      "Processing Record 48 of Set 9 | Burnie\n",
      "Processing Record 49 of Set 9 | Tshane\n",
      "Processing Record 50 of Set 9 | Taksimo\n",
      "Processing Record 1 of Set 10 | Ballarat\n",
      "Processing Record 2 of Set 10 | Xiongzhou\n",
      "Processing Record 3 of Set 10 | Dutse\n",
      "Processing Record 4 of Set 10 | Nanhai\n",
      "Processing Record 5 of Set 10 | Buarcos\n",
      "Processing Record 6 of Set 10 | Aksarka\n",
      "Processing Record 7 of Set 10 | Nizhneyansk\n",
      "The requested city of: Nizhneyansk was not found. Skipping...\n",
      "Processing Record 8 of Set 10 | Goma\n",
      "Processing Record 9 of Set 10 | Clyde River\n",
      "Processing Record 10 of Set 10 | Salaga\n",
      "Processing Record 11 of Set 10 | Vestmanna\n",
      "Processing Record 12 of Set 10 | Saint George\n",
      "Processing Record 13 of Set 10 | Skalistyy\n",
      "The requested city of: Skalistyy was not found. Skipping...\n",
      "Processing Record 14 of Set 10 | Mastic Beach\n",
      "Processing Record 15 of Set 10 | Teguldet\n",
      "Processing Record 16 of Set 10 | Yaan\n",
      "Processing Record 17 of Set 10 | Kruisfontein\n",
      "Processing Record 18 of Set 10 | Barawe\n",
      "The requested city of: Barawe was not found. Skipping...\n",
      "Processing Record 19 of Set 10 | Kopyevo\n",
      "The requested city of: Kopyevo was not found. Skipping...\n",
      "Processing Record 20 of Set 10 | College\n",
      "Processing Record 21 of Set 10 | Santa Maria\n",
      "Processing Record 22 of Set 10 | Zmeinogorsk\n",
      "Processing Record 23 of Set 10 | Inhambane\n",
      "Processing Record 24 of Set 10 | Payo\n",
      "Processing Record 25 of Set 10 | Kazerun\n",
      "Processing Record 26 of Set 10 | Bournemouth\n",
      "Processing Record 27 of Set 10 | Batetskiy\n",
      "Processing Record 28 of Set 10 | Haines Junction\n",
      "Processing Record 29 of Set 10 | Kholodnyy\n",
      "Processing Record 30 of Set 10 | Manadhoo\n",
      "Processing Record 31 of Set 10 | Port Blair\n",
      "Processing Record 32 of Set 10 | Bulgan\n",
      "Processing Record 33 of Set 10 | Beian\n",
      "Processing Record 34 of Set 10 | Lesnoy\n",
      "Processing Record 35 of Set 10 | San Pedro\n",
      "Processing Record 36 of Set 10 | Sisimiut\n",
      "Processing Record 37 of Set 10 | Mayo\n",
      "Processing Record 38 of Set 10 | Xining\n",
      "Processing Record 39 of Set 10 | Lillooet\n",
      "Processing Record 40 of Set 10 | Sorvag\n",
      "The requested city of: Sorvag was not found. Skipping...\n",
      "Processing Record 41 of Set 10 | Dothan\n",
      "Processing Record 42 of Set 10 | Draguignan\n",
      "Processing Record 43 of Set 10 | Ha Giang\n",
      "Processing Record 44 of Set 10 | Jiayuguan\n",
      "Processing Record 45 of Set 10 | Kovdor\n",
      "Processing Record 46 of Set 10 | Skibbereen\n",
      "Processing Record 47 of Set 10 | Vieques\n",
      "Processing Record 48 of Set 10 | Beresti-Tazlau\n",
      "Processing Record 49 of Set 10 | Nara\n",
      "Processing Record 50 of Set 10 | Holland\n",
      "Processing Record 1 of Set 11 | Iroquois Falls\n",
      "Processing Record 2 of Set 11 | Bonfim\n",
      "Processing Record 3 of Set 11 | Bouna\n",
      "Processing Record 4 of Set 11 | Acapulco\n",
      "Processing Record 5 of Set 11 | Ojinaga\n",
      "Processing Record 6 of Set 11 | Turukhansk\n",
      "Processing Record 7 of Set 11 | Richard Toll\n",
      "The requested city of: Richard Toll was not found. Skipping...\n",
      "Processing Record 8 of Set 11 | Mbeya\n",
      "Processing Record 9 of Set 11 | Beringovskiy\n",
      "Processing Record 10 of Set 11 | Luanda\n",
      "Processing Record 11 of Set 11 | Ekibastuz\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing Record 12 of Set 11 | Serenje\n",
      "Processing Record 13 of Set 11 | Ruteng\n",
      "Processing Record 14 of Set 11 | Taoudenni\n",
      "Processing Record 15 of Set 11 | Sajalices\n",
      "Processing Record 16 of Set 11 | Loreto\n",
      "Processing Record 17 of Set 11 | Sundsvall\n",
      "Processing Record 18 of Set 11 | Mitu\n",
      "Processing Record 19 of Set 11 | Novosokolniki\n",
      "Processing Record 20 of Set 11 | Fort Dodge\n",
      "Processing Record 21 of Set 11 | Port-Gentil\n",
      "Processing Record 22 of Set 11 | Martil\n",
      "Processing Record 23 of Set 11 | Bokspits\n",
      "The requested city of: Bokspits was not found. Skipping...\n",
      "Processing Record 24 of Set 11 | Minot\n",
      "Processing Record 25 of Set 11 | San Fernando\n",
      "Processing Record 26 of Set 11 | Hami\n",
      "Processing Record 27 of Set 11 | Jozefow\n",
      "Processing Record 28 of Set 11 | Tautira\n",
      "Processing Record 29 of Set 11 | Kualakapuas\n",
      "Processing Record 30 of Set 11 | Half Moon Bay\n",
      "Processing Record 31 of Set 11 | Sulangan\n",
      "Processing Record 32 of Set 11 | We\n",
      "The requested city of: We was not found. Skipping...\n",
      "Processing Record 33 of Set 11 | Brae\n",
      "Processing Record 34 of Set 11 | Kamenka\n",
      "Processing Record 35 of Set 11 | Tsiroanomandidy\n",
      "Processing Record 36 of Set 11 | Lorengau\n",
      "Processing Record 37 of Set 11 | Husavik\n",
      "Processing Record 38 of Set 11 | Baharampur\n",
      "Processing Record 39 of Set 11 | Normal\n",
      "Processing Record 40 of Set 11 | Madang\n",
      "Processing Record 41 of Set 11 | Geraldton\n",
      "Processing Record 42 of Set 11 | Saint-Pierre\n",
      "Processing Record 43 of Set 11 | Codrington\n",
      "Processing Record 44 of Set 11 | Alpena\n",
      "Processing Record 45 of Set 11 | Atar\n",
      "Processing Record 46 of Set 11 | Reinosa\n",
      "Processing Record 47 of Set 11 | Bokoro\n",
      "The requested city of: Bokoro was not found. Skipping...\n",
      "Processing Record 48 of Set 11 | Ambilobe\n",
      "Processing Record 49 of Set 11 | Gladstone\n",
      "Processing Record 50 of Set 11 | Eureka\n",
      "Processing Record 1 of Set 12 | Niigata\n",
      "Processing Record 2 of Set 12 | Katangli\n",
      "Processing Record 3 of Set 12 | Heihe\n",
      "Processing Record 4 of Set 12 | Kishtwar\n",
      "Processing Record 5 of Set 12 | Nouadhibou\n",
      "Processing Record 6 of Set 12 | Ginda\n",
      "Processing Record 7 of Set 12 | Warqla\n",
      "The requested city of: Warqla was not found. Skipping...\n",
      "Processing Record 8 of Set 12 | Ayotzintepec\n",
      "Processing Record 9 of Set 12 | Mareeba\n",
      "Processing Record 10 of Set 12 | Brainerd\n",
      "Processing Record 11 of Set 12 | Hobyo\n",
      "Processing Record 12 of Set 12 | Dawlatabad\n",
      "Processing Record 13 of Set 12 | Balkanabat\n",
      "Processing Record 14 of Set 12 | Nurobod\n",
      "Processing Record 15 of Set 12 | Cassilandia\n",
      "Processing Record 16 of Set 12 | Bayir\n",
      "Processing Record 17 of Set 12 | Constitucion\n",
      "Processing Record 18 of Set 12 | Tashtagol\n",
      "Processing Record 19 of Set 12 | Inzhavino\n",
      "Processing Record 20 of Set 12 | Sabang\n",
      "Processing Record 21 of Set 12 | San Jose\n",
      "Processing Record 22 of Set 12 | Chagoda\n",
      "Processing Record 23 of Set 12 | Kuryk\n",
      "Processing Record 24 of Set 12 | Petrov Val\n",
      "Processing Record 25 of Set 12 | Formosa\n",
      "Processing Record 26 of Set 12 | Pietroasele\n",
      "Processing Record 27 of Set 12 | Ayagoz\n",
      "Processing Record 28 of Set 12 | Belyy Yar\n",
      "Processing Record 29 of Set 12 | Sterling\n",
      "Processing Record 30 of Set 12 | Agadez\n",
      "Processing Record 31 of Set 12 | The Valley\n",
      "Processing Record 32 of Set 12 | Golynki\n",
      "Processing Record 33 of Set 12 | Matara\n",
      "Processing Record 34 of Set 12 | San Ignacio\n",
      "Processing Record 35 of Set 12 | Palmer\n",
      "Processing Record 36 of Set 12 | Bryant\n",
      "Processing Record 37 of Set 12 | Taburi\n",
      "The requested city of: Taburi was not found. Skipping...\n",
      "Processing Record 38 of Set 12 | Solnechnyy\n",
      "Processing Record 39 of Set 12 | Bedesa\n",
      "Processing Record 40 of Set 12 | Republic\n",
      "Processing Record 41 of Set 12 | Akkermanovka\n",
      "The requested city of: Akkermanovka was not found. Skipping...\n",
      "Processing Record 42 of Set 12 | Senanga\n",
      "Processing Record 43 of Set 12 | Uglich\n",
      "Processing Record 44 of Set 12 | Kindu\n",
      "Processing Record 45 of Set 12 | Binga\n",
      "------------------------------\n",
      "Data Retrieval Complete\n",
      "------------------------------\n"
     ]
    }
   ],
   "source": [
    "# Setup URL and Query URL\n",
    "\n",
    "url = \"http://api.openweathermap.org/data/2.5/weather?\"\n",
    "\n",
    "query_url = url + \"appid=\" + api_key + \"&q=\"\n",
    "\n",
    "\n",
    "# Set up counters and lists\n",
    "# this step came later after I ran a few test responses to see the format of the data\n",
    "\n",
    "record_counter = 0\n",
    "set_counter = 1\n",
    "\n",
    "city_name = []\n",
    "cod = []\n",
    "cloudiness = []\n",
    "country = []\n",
    "date = []\n",
    "humidity = []\n",
    "lat = []\n",
    "lng = []\n",
    "max_temp = []\n",
    "wind_speed = []\n",
    "\n",
    "# Account for skips - added this towards the end\n",
    "skip_counter = 0\n",
    "skip_list = []\n",
    "\n",
    "print(query_url)\n",
    "\n",
    "print(\"Beginning Data Retrieval\")\n",
    "print('-'*30)\n",
    "\n",
    "# set up loop\n",
    "for city in cities:\n",
    "\n",
    "    response_data = requests.get(query_url + city).json()\n",
    "\n",
    "    try:\n",
    "        city_name.append(response_data['name'])\n",
    "        cod.append(response_data['cod'])\n",
    "        cloudiness.append(response_data['clouds']['all'])\n",
    "        country.append(response_data['sys']['country'])\n",
    "        date.append(response_data['dt'])\n",
    "        humidity.append(response_data['main']['humidity'])\n",
    "        lat.append(response_data['coord']['lat'])\n",
    "        lng.append(response_data['coord']['lon'])\n",
    "        max_temp.append(response_data['main']['temp_max'])\n",
    "        wind_speed.append(response_data['wind']['speed'])\n",
    "        print(\"Processing Record \" + str(record_counter) + \" of Set \" + str(set_counter) + \" | \" + str.title(city))\n",
    "\n",
    "    except (KeyError, NameError, TypeError, AttributeError):      \n",
    "        print(\"Processing Record \" + str(record_counter) + \" of Set \" + str(set_counter) + \" | \" + str.title(city))\n",
    "        print(f\"The requested city of: {str.title(city)} was not found. Skipping...\")\n",
    "        #cod.append(response.status_code) - will remove this because was causing issues.\n",
    "        skip_counter += 1\n",
    "        skip_list.append(city)\n",
    "            \n",
    "\n",
    "    record_counter += 1\n",
    "    if record_counter == 51:\n",
    "        set_counter += 1\n",
    "        record_counter = 1\n",
    "    \n",
    "print('-'*30)\n",
    "print('Data Retrieval Complete')\n",
    "print('-'*30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "63\n"
     ]
    }
   ],
   "source": [
    "# accounting for skips!\n",
    "\n",
    "print(skip_counter)\n",
    "# print(skip_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "533\n"
     ]
    }
   ],
   "source": [
    "#print(city_name)\n",
    "print()\n",
    "print(len(city_name))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "533\n"
     ]
    }
   ],
   "source": [
    "# Status code errors - this is to see which cities and their\n",
    "# respective status codes resulted in an error from the API call\n",
    "\n",
    "# print(cod)\n",
    "# print()\n",
    "print(len(cod))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#checks\n",
    "#print(cloudiness)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# checks\n",
    "#print(country)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#checks\n",
    "# print(date)\n",
    "# print(len(date))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# checks\n",
    "#print(humidity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# checks\n",
    "#print(lat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # checks\n",
    "# print(lng)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# checks\n",
    "#print(max_temp)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# checks\n",
    "#print(wind_speed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Zipped values into a Zipfile\n",
    "values_zip = zip(city_name, cloudiness, country, date, humidity, lat, lng, max_temp, wind_speed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# CONVERT TO CSV FILE\n",
    "\n",
    "with open('city_data_JG2.csv', 'w', newline='') as csv_file:\n",
    "    writer = csv.writer(csv_file)\n",
    "    writer.writerow(['City', 'Cloudiness', 'Country', 'Date', 'Humidity', 'Lat', 'Lng', 'Max Temp (Kelvin)', 'Wind Speed'])\n",
    "    writer.writerows(values_zip)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Converted Raw Data to DataFrame\n",
    "* Exported the city data into a .csv.\n",
    "* Displayed the DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             City  Cloudiness Country        Date  Humidity    Lat     Lng  \\\n",
      "0  Guerrero Negro          76      MX  1553729931        61  27.97 -114.04   \n",
      "1          Albany          20      US  1553729763        16  42.65  -73.75   \n",
      "2           Vaini           0      IN  1553729932        90  15.34   74.49   \n",
      "3       Kununurra           0      AU  1553727600        74 -15.77  128.74   \n",
      "4          Castro           0      CL  1553727600        76 -42.48  -73.76   \n",
      "\n",
      "   Max Temp (Kelvin)  Wind Speed  \n",
      "0            291.772        5.96  \n",
      "1            281.150        4.60  \n",
      "2            292.372        0.61  \n",
      "3            300.150        1.00  \n",
      "4            286.150        2.60  \n"
     ]
    }
   ],
   "source": [
    "citydata_csvto_pd = pd.read_csv('city_data_JG2.csv')\n",
    "print(citydata_csvto_pd.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "City                 533\n",
       "Cloudiness           533\n",
       "Country              532\n",
       "Date                 533\n",
       "Humidity             533\n",
       "Lat                  533\n",
       "Lng                  533\n",
       "Max Temp (Kelvin)    533\n",
       "Wind Speed           533\n",
       "dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_city_data = pd.DataFrame(citydata_csvto_pd)\n",
    "df_city_data.count()\n",
    "\n",
    "# This was short one country based on my search. This could be because of the city not\n",
    "# being a part of a recognized country (e.g. Burma). The plots below only asked for cities to be plotted.\n",
    "# So I went a head and plotted everything on the charts down below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>City</th>\n",
       "      <th>Cloudiness</th>\n",
       "      <th>Country</th>\n",
       "      <th>Date</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lng</th>\n",
       "      <th>Max Temp (Kelvin)</th>\n",
       "      <th>Wind Speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Guerrero Negro</td>\n",
       "      <td>76</td>\n",
       "      <td>MX</td>\n",
       "      <td>1553729931</td>\n",
       "      <td>61</td>\n",
       "      <td>27.97</td>\n",
       "      <td>-114.04</td>\n",
       "      <td>291.772</td>\n",
       "      <td>5.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albany</td>\n",
       "      <td>20</td>\n",
       "      <td>US</td>\n",
       "      <td>1553729763</td>\n",
       "      <td>16</td>\n",
       "      <td>42.65</td>\n",
       "      <td>-73.75</td>\n",
       "      <td>281.150</td>\n",
       "      <td>4.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Vaini</td>\n",
       "      <td>0</td>\n",
       "      <td>IN</td>\n",
       "      <td>1553729932</td>\n",
       "      <td>90</td>\n",
       "      <td>15.34</td>\n",
       "      <td>74.49</td>\n",
       "      <td>292.372</td>\n",
       "      <td>0.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Kununurra</td>\n",
       "      <td>0</td>\n",
       "      <td>AU</td>\n",
       "      <td>1553727600</td>\n",
       "      <td>74</td>\n",
       "      <td>-15.77</td>\n",
       "      <td>128.74</td>\n",
       "      <td>300.150</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Castro</td>\n",
       "      <td>0</td>\n",
       "      <td>CL</td>\n",
       "      <td>1553727600</td>\n",
       "      <td>76</td>\n",
       "      <td>-42.48</td>\n",
       "      <td>-73.76</td>\n",
       "      <td>286.150</td>\n",
       "      <td>2.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             City  Cloudiness Country        Date  Humidity    Lat     Lng  \\\n",
       "0  Guerrero Negro          76      MX  1553729931        61  27.97 -114.04   \n",
       "1          Albany          20      US  1553729763        16  42.65  -73.75   \n",
       "2           Vaini           0      IN  1553729932        90  15.34   74.49   \n",
       "3       Kununurra           0      AU  1553727600        74 -15.77  128.74   \n",
       "4          Castro           0      CL  1553727600        76 -42.48  -73.76   \n",
       "\n",
       "   Max Temp (Kelvin)  Wind Speed  \n",
       "0            291.772        5.96  \n",
       "1            281.150        4.60  \n",
       "2            292.372        0.61  \n",
       "3            300.150        1.00  \n",
       "4            286.150        2.60  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_city_data.head()\n",
    "\n",
    "# this was ran a few times. I added the Max Temp Column (Fahrenheit) in the next section"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting the Data\n",
    "* Useed proper labeling of the plots using plot titles (including date of analysis) and axes labels.\n",
    "* Saved the plotted figures as .pngs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Latitude vs. Temperature Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Convert Temperature from Kelvins to Fahrenheit and set it up as a variable\n",
    "max_temp_slice_F = (df_city_data.loc[:, ['Max Temp (Kelvin)']] - 273.15) * (9/5) + 32\n",
    "\n",
    "# Add new column into dataframe\n",
    "df_city_data['Max Temp (Fahrenheit)'] = max_temp_slice_F\n",
    "\n",
    "# set up the latitude variable\n",
    "lat = df_city_data.loc[:, ['Lat']]\n",
    "\n",
    "plt.figure(1)\n",
    "plt.scatter(lat, max_temp_slice_F, marker='o', edgecolor='black', facecolors='lightsteelblue')\n",
    "\n",
    "plt.title(\"City Latitude vs Max Temperature (08/22/2018)\")\n",
    "plt.xlabel(\"Latitude\")\n",
    "plt.ylabel(\"Max Temperature (F)\")\n",
    "plt.show()\n",
    "plt.savefig('./citylatitude_vs_maxtemp.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Latitude vs. Humidity Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "humidity_percent = df_city_data.loc[:, ['Humidity']]\n",
    "\n",
    "plt.figure(2)\n",
    "plt.scatter(lat, humidity_percent, marker='o', edgecolor='black', facecolors='lightsteelblue')\n",
    "\n",
    "plt.title(\"City Latitude vs Humidity (08/22/2018)\")\n",
    "plt.xlabel(\"Latitude\")\n",
    "plt.ylabel(\"Humidity (%)\")\n",
    "plt.show()\n",
    "\n",
    "plt.savefig('./citylatitude_vs_humidity.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Latitude vs. Cloudiness Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cloudiness_data = df_city_data.loc[:, ['Cloudiness']]\n",
    "\n",
    "plt.figure(3)\n",
    "plt.scatter(lat, cloudiness_data, marker='o', edgecolor='black', facecolors='lightsteelblue')\n",
    "\n",
    "plt.title(\"City Latitude vs Cloudiness (08/22/2018)\")\n",
    "plt.xlabel(\"Latitude\")\n",
    "plt.ylabel(\"Cloudiness (%)\")\n",
    "plt.show()\n",
    "\n",
    "plt.savefig('./citylatitude_vs_cloudiness.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Latitude vs. Wind Speed Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "windspeed_data = df_city_data.loc[:, ['Wind Speed']]\n",
    "\n",
    "plt.figure(4)\n",
    "plt.scatter(lat, windspeed_data, marker='o', edgecolor='black', facecolors='lightsteelblue')\n",
    "\n",
    "plt.title(\"City Latitude vs Wind Speed (08/22/2018)\")\n",
    "plt.xlabel(\"Latitude\")\n",
    "plt.ylabel(\"Wind Speed (mph)\")\n",
    "plt.show()\n",
    "\n",
    "plt.savefig('./citylatitude_vs_windspeed.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DATA ANALYSIS\n",
    "\n",
    "### Note: most of the random sample appears to have populated more cities with latitudes between the 0 to 80 than -60 to 0.\n",
    "\n",
    "####  The data suggests:\n",
    "\n",
    "*\tCity Latitudes vs Temperatures (F) Chart:  Cities with latitudes of negative sixty to twenty had the highest temperatures. This makes sense because a latitude of zero is near Africa, which is known to be very hot and near the equator. As the city latitudes moved away from zero, the city temperatures were found to be cooler.\n",
    "*\tCity Latitudes vs Humidity chart observations: overall humidity levels varied across city latitudes. Between latitudes of negative thirty five and approximately eight, there is a concentration of cities with one hundred percent humidity levels, particularly around zero degree. There’s a pocket between city latitudes eight to thirty five where there were no cities with one hundred percent humidity level.\n",
    "*\tAs for the City Latitude vs Cloudiness Chart: cloudiness varied across all city latitudes.\n",
    "*\tLastly, in the City Latitude vs Wind Speed Chart, the data suggests that city latitudes slightly impacted windspeed. There are a  higher concentration of cities with latitudes between zero to eight that experience high wind speeds, but this could also be due to the sample being compromised of more cities with zero to eighty degrees. The distribution of plots appear to be comparable on both positive and negative sides with the exception of a few outliers.\n",
    "\n"
   ]
  }
 ],
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