WeatherPy.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# WeatherPy\n",
    "----\n",
    "\n",
    "#### Note\n",
    "* Instructions have been included for each segment. You do not have to follow them exactly, but they are included to help you think through the steps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Dependencies and Setup\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import requests\n",
    "import time\n",
    "\n",
    "# Import API key\n",
    "from api_keys 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": [
       "616"
      ]
     },
     "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": "markdown",
   "metadata": {},
   "source": [
    "### Perform API Calls\n",
    "* Perform a weather check on each city using a series of successive API calls.\n",
    "* Include a print log of each city as it'sbeing processed (with the city number and city name).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Beginning Data Retrieval     \n",
      "-----------------------------\n",
      "Processing Record 1 of Set 1 | lompoc\n",
      "Processing Record 2 of Set 1 | klaksvik\n",
      "Processing Record 3 of Set 1 | bisignano\n",
      "Processing Record 4 of Set 1 | bengkulu\n",
      "City not found. Skipping...\n",
      "Processing Record 5 of Set 1 | hilo\n",
      "Processing Record 6 of Set 1 | rikitea\n",
      "Processing Record 7 of Set 1 | ahipara\n",
      "Processing Record 8 of Set 1 | lebu\n",
      "Processing Record 9 of Set 1 | hamilton\n",
      "Processing Record 10 of Set 1 | castro\n",
      "Processing Record 11 of Set 1 | ashland\n",
      "Processing Record 12 of Set 1 | ushuaia\n",
      "Processing Record 13 of Set 1 | haines junction\n",
      "Processing Record 14 of Set 1 | punta arenas\n",
      "Processing Record 15 of Set 1 | salalah\n",
      "Processing Record 16 of Set 1 | port macquarie\n",
      "Processing Record 17 of Set 1 | mataura\n",
      "Processing Record 18 of Set 1 | saint-philippe\n",
      "Processing Record 19 of Set 1 | kaitangata\n",
      "Processing Record 20 of Set 1 | souillac\n",
      "Processing Record 21 of Set 1 | srednekolymsk\n",
      "Processing Record 22 of Set 1 | busselton\n",
      "Processing Record 23 of Set 1 | severo-kurilsk\n",
      "Processing Record 24 of Set 1 | belushya guba\n",
      "City not found. Skipping...\n",
      "Processing Record 25 of Set 1 | ivaipora\n",
      "City not found. Skipping...\n",
      "Processing Record 26 of Set 1 | cape town\n",
      "Processing Record 27 of Set 1 | ambilobe\n",
      "Processing Record 28 of Set 1 | yellowknife\n",
      "Processing Record 29 of Set 1 | talnakh\n",
      "Processing Record 30 of Set 1 | namatanai\n",
      "Processing Record 31 of Set 1 | scottsburgh\n",
      "City not found. Skipping...\n",
      "Processing Record 32 of Set 1 | leningradskiy\n",
      "Processing Record 33 of Set 1 | khormuj\n",
      "City not found. Skipping...\n",
      "Processing Record 34 of Set 1 | kodiak\n",
      "Processing Record 35 of Set 1 | muros\n",
      "Processing Record 36 of Set 1 | tamandare\n",
      "Processing Record 37 of Set 1 | taolanaro\n",
      "City not found. Skipping...\n",
      "Processing Record 38 of Set 1 | albany\n",
      "Processing Record 39 of Set 1 | lumut\n",
      "Processing Record 40 of Set 1 | sukumo\n",
      "Processing Record 41 of Set 1 | chapais\n",
      "Processing Record 42 of Set 1 | khatanga\n",
      "Processing Record 43 of Set 1 | ordzhonikidze\n",
      "Processing Record 44 of Set 1 | jiangyou\n",
      "Processing Record 45 of Set 1 | ancud\n",
      "Processing Record 46 of Set 1 | vila franca do campo\n",
      "Processing Record 47 of Set 1 | shchelkun\n",
      "Processing Record 48 of Set 1 | vanimo\n",
      "Processing Record 49 of Set 1 | kalmanhaza\n",
      "Processing Record 50 of Set 1 | butaritari\n",
      "Processing Record 0 of Set 2 | codrington\n",
      "Processing Record 1 of Set 2 | ayolas\n",
      "Processing Record 2 of Set 2 | kapaa\n",
      "Processing Record 3 of Set 2 | east london\n",
      "Processing Record 4 of Set 2 | vaini\n",
      "Processing Record 5 of Set 2 | tessalit\n",
      "Processing Record 6 of Set 2 | panguna\n",
      "Processing Record 7 of Set 2 | cockburn town\n",
      "Processing Record 8 of Set 2 | valerianovsk\n",
      "Processing Record 9 of Set 2 | tingrela\n",
      "City not found. Skipping...\n",
      "Processing Record 10 of Set 2 | novobirilyussy\n",
      "Processing Record 11 of Set 2 | krasnoborsk\n",
      "Processing Record 12 of Set 2 | mar del plata\n",
      "Processing Record 13 of Set 2 | new norfolk\n",
      "Processing Record 14 of Set 2 | khonuu\n",
      "City not found. Skipping...\n",
      "Processing Record 15 of Set 2 | vila do maio\n",
      "Processing Record 16 of Set 2 | dikson\n",
      "Processing Record 17 of Set 2 | tsihombe\n",
      "City not found. Skipping...\n",
      "Processing Record 18 of Set 2 | toliary\n",
      "City not found. Skipping...\n",
      "Processing Record 19 of Set 2 | kazalinsk\n",
      "City not found. Skipping...\n",
      "Processing Record 20 of Set 2 | livani\n",
      "Processing Record 21 of Set 2 | urucui\n",
      "Processing Record 22 of Set 2 | ribeira grande\n",
      "Processing Record 23 of Set 2 | qaanaaq\n",
      "Processing Record 24 of Set 2 | sentyabrskiy\n",
      "City not found. Skipping...\n",
      "Processing Record 25 of Set 2 | tuatapere\n",
      "Processing Record 26 of Set 2 | bocaiuva\n",
      "Processing Record 27 of Set 2 | jiexiu\n",
      "Processing Record 28 of Set 2 | quelimane\n",
      "Processing Record 29 of Set 2 | rujewa\n",
      "Processing Record 30 of Set 2 | cherskiy\n",
      "Processing Record 31 of Set 2 | port elizabeth\n",
      "Processing Record 32 of Set 2 | yanchukan\n",
      "City not found. Skipping...\n",
      "Processing Record 33 of Set 2 | fortuna\n",
      "Processing Record 34 of Set 2 | belyy yar\n",
      "Processing Record 35 of Set 2 | venezuela\n",
      "Processing Record 36 of Set 2 | bambous virieux\n",
      "Processing Record 37 of Set 2 | illoqqortoormiut\n",
      "City not found. Skipping...\n",
      "Processing Record 38 of Set 2 | barrow\n",
      "Processing Record 39 of Set 2 | mitsamiouli\n",
      "Processing Record 40 of Set 2 | hunza\n",
      "City not found. Skipping...\n",
      "Processing Record 41 of Set 2 | bunia\n",
      "Processing Record 42 of Set 2 | boa vista\n",
      "Processing Record 43 of Set 2 | kudahuvadhoo\n",
      "Processing Record 44 of Set 2 | mys shmidta\n",
      "City not found. Skipping...\n",
      "Processing Record 45 of Set 2 | bluff\n",
      "Processing Record 46 of Set 2 | okhotsk\n",
      "Processing Record 47 of Set 2 | muzaffarabad\n",
      "Processing Record 48 of Set 2 | avarua\n",
      "Processing Record 49 of Set 2 | esperance\n",
      "Processing Record 0 of Set 3 | arenapolis\n",
      "Processing Record 1 of Set 3 | tuktoyaktuk\n",
      "Processing Record 2 of Set 3 | nemuro\n",
      "Processing Record 3 of Set 3 | attawapiskat\n",
      "City not found. Skipping...\n",
      "Processing Record 4 of Set 3 | rio gallegos\n",
      "Processing Record 5 of Set 3 | svetlaya\n",
      "Processing Record 6 of Set 3 | nome\n",
      "Processing Record 7 of Set 3 | caravelas\n",
      "Processing Record 8 of Set 3 | karamea\n",
      "City not found. Skipping...\n",
      "Processing Record 9 of Set 3 | mandalgovi\n",
      "Processing Record 10 of Set 3 | carnarvon\n",
      "Processing Record 11 of Set 3 | atuona\n",
      "Processing Record 12 of Set 3 | pemangkat\n",
      "City not found. Skipping...\n",
      "Processing Record 13 of Set 3 | karaul\n",
      "City not found. Skipping...\n",
      "Processing Record 14 of Set 3 | qiqihar\n",
      "Processing Record 15 of Set 3 | cabo san lucas\n",
      "Processing Record 16 of Set 3 | jamestown\n",
      "Processing Record 17 of Set 3 | komsomolskiy\n",
      "Processing Record 18 of Set 3 | arraial do cabo\n",
      "Processing Record 19 of Set 3 | tiksi\n",
      "Processing Record 20 of Set 3 | amnat charoen\n",
      "Processing Record 21 of Set 3 | provideniya\n",
      "Processing Record 22 of Set 3 | luang prabang\n",
      "Processing Record 23 of Set 3 | hami\n",
      "Processing Record 24 of Set 3 | saskylakh\n",
      "Processing Record 25 of Set 3 | kyren\n",
      "Processing Record 26 of Set 3 | yuanping\n",
      "Processing Record 27 of Set 3 | dukat\n",
      "Processing Record 28 of Set 3 | barentsburg\n",
      "City not found. Skipping...\n",
      "Processing Record 29 of Set 3 | chuy\n",
      "Processing Record 30 of Set 3 | dorfen\n",
      "Processing Record 31 of Set 3 | ayan\n",
      "Processing Record 32 of Set 3 | port alfred\n",
      "Processing Record 33 of Set 3 | nanortalik\n",
      "Processing Record 34 of Set 3 | nizhneyansk\n",
      "City not found. Skipping...\n",
      "Processing Record 35 of Set 3 | vertientes\n",
      "Processing Record 36 of Set 3 | charters towers\n",
      "Processing Record 37 of Set 3 | nenjiang\n",
      "Processing Record 38 of Set 3 | hermanus\n",
      "Processing Record 39 of Set 3 | saleaula\n",
      "City not found. Skipping...\n",
      "Processing Record 40 of Set 3 | puerto del rosario\n",
      "Processing Record 41 of Set 3 | husavik\n",
      "Processing Record 42 of Set 3 | maldonado\n",
      "Processing Record 43 of Set 3 | bintulu\n",
      "Processing Record 44 of Set 3 | warqla\n",
      "City not found. Skipping...\n",
      "Processing Record 45 of Set 3 | luderitz\n",
      "Processing Record 46 of Set 3 | vardo\n",
      "Processing Record 47 of Set 3 | faanui\n",
      "Processing Record 48 of Set 3 | muzhi\n",
      "Processing Record 49 of Set 3 | zhangye\n",
      "Processing Record 0 of Set 4 | nouadhibou\n",
      "Processing Record 1 of Set 4 | oussouye\n",
      "Processing Record 2 of Set 4 | agaro\n",
      "Processing Record 3 of Set 4 | samusu\n",
      "City not found. Skipping...\n",
      "Processing Record 4 of Set 4 | tasiilaq\n",
      "Processing Record 5 of Set 4 | amderma\n",
      "City not found. Skipping...\n",
      "Processing Record 6 of Set 4 | bathsheba\n",
      "Processing Record 7 of Set 4 | pacific grove\n",
      "Processing Record 8 of Set 4 | half moon bay\n",
      "Processing Record 9 of Set 4 | goderich\n",
      "Processing Record 10 of Set 4 | severnyy\n",
      "City not found. Skipping...\n",
      "Processing Record 11 of Set 4 | erenhot\n",
      "Processing Record 12 of Set 4 | hasaki\n",
      "Processing Record 13 of Set 4 | agadez\n",
      "Processing Record 14 of Set 4 | hobart\n",
      "Processing Record 15 of Set 4 | drummondville\n",
      "Processing Record 16 of Set 4 | selfoss\n",
      "Processing Record 17 of Set 4 | carman\n",
      "Processing Record 18 of Set 4 | kurumkan\n",
      "Processing Record 19 of Set 4 | rawson\n",
      "Processing Record 20 of Set 4 | osakarovka\n",
      "Processing Record 21 of Set 4 | sitka\n",
      "Processing Record 22 of Set 4 | pec\n",
      "Processing Record 23 of Set 4 | nacala\n",
      "Processing Record 24 of Set 4 | vaitupu\n",
      "City not found. Skipping...\n",
      "Processing Record 25 of Set 4 | ewo\n",
      "Processing Record 26 of Set 4 | alihe\n",
      "Processing Record 27 of Set 4 | felipe carrillo puerto\n",
      "Processing Record 28 of Set 4 | sept-iles\n",
      "Processing Record 29 of Set 4 | anzio\n",
      "Processing Record 30 of Set 4 | abeche\n",
      "Processing Record 31 of Set 4 | chokurdakh\n",
      "Processing Record 32 of Set 4 | sao filipe\n",
      "Processing Record 33 of Set 4 | yatou\n",
      "Processing Record 34 of Set 4 | pangkalanbuun\n",
      "Processing Record 35 of Set 4 | namibe\n",
      "Processing Record 36 of Set 4 | caltagirone\n",
      "Processing Record 37 of Set 4 | araguacu\n",
      "City not found. Skipping...\n",
      "Processing Record 38 of Set 4 | atuntaqui\n",
      "Processing Record 39 of Set 4 | marshfield\n",
      "Processing Record 40 of Set 4 | saint-joseph\n",
      "Processing Record 41 of Set 4 | chambas\n",
      "Processing Record 42 of Set 4 | mahebourg\n",
      "Processing Record 43 of Set 4 | abadan\n",
      "Processing Record 44 of Set 4 | lagoa\n",
      "Processing Record 45 of Set 4 | axim\n",
      "Processing Record 46 of Set 4 | sioux lookout\n",
      "Processing Record 47 of Set 4 | voh\n",
      "Processing Record 48 of Set 4 | puerto ayora\n",
      "Processing Record 49 of Set 4 | sinnamary\n",
      "Processing Record 0 of Set 5 | duz\n",
      "City not found. Skipping...\n",
      "Processing Record 1 of Set 5 | upernavik\n",
      "Processing Record 2 of Set 5 | port hardy\n",
      "Processing Record 3 of Set 5 | vieste\n",
      "Processing Record 4 of Set 5 | dalvik\n",
      "Processing Record 5 of Set 5 | tual\n",
      "Processing Record 6 of Set 5 | novopokrovka\n",
      "Processing Record 7 of Set 5 | soyo\n",
      "Processing Record 8 of Set 5 | broken hill\n",
      "Processing Record 9 of Set 5 | columbia\n",
      "Processing Record 10 of Set 5 | sao joao da barra\n",
      "Processing Record 11 of Set 5 | lumphat\n",
      "Processing Record 12 of Set 5 | ciudad bolivar\n",
      "Processing Record 13 of Set 5 | san quintin\n",
      "Processing Record 14 of Set 5 | bredasdorp\n",
      "Processing Record 15 of Set 5 | torbay\n",
      "Processing Record 16 of Set 5 | hithadhoo\n",
      "Processing Record 17 of Set 5 | tabarqah\n",
      "City not found. Skipping...\n",
      "Processing Record 18 of Set 5 | vila velha\n",
      "Processing Record 19 of Set 5 | samaniego\n",
      "Processing Record 20 of Set 5 | kruisfontein\n",
      "Processing Record 21 of Set 5 | tumannyy\n",
      "City not found. Skipping...\n",
      "Processing Record 22 of Set 5 | dunedin\n",
      "Processing Record 23 of Set 5 | nikolskoye\n",
      "Processing Record 24 of Set 5 | geraldton\n",
      "Processing Record 25 of Set 5 | sarangani\n",
      "Processing Record 26 of Set 5 | bontang\n",
      "Processing Record 27 of Set 5 | jacareacanga\n",
      "Processing Record 28 of Set 5 | palabuhanratu\n",
      "City not found. Skipping...\n",
      "Processing Record 29 of Set 5 | raudeberg\n",
      "Processing Record 30 of Set 5 | terrenate\n",
      "Processing Record 31 of Set 5 | vao\n",
      "Processing Record 32 of Set 5 | asau\n",
      "City not found. Skipping...\n",
      "Processing Record 33 of Set 5 | hovd\n",
      "Processing Record 34 of Set 5 | bure\n",
      "Processing Record 35 of Set 5 | ranot\n",
      "Processing Record 36 of Set 5 | barawe\n",
      "City not found. Skipping...\n",
      "Processing Record 37 of Set 5 | merauke\n",
      "Processing Record 38 of Set 5 | prichard\n",
      "Processing Record 39 of Set 5 | gravelbourg\n",
      "Processing Record 40 of Set 5 | searcy\n",
      "Processing Record 41 of Set 5 | chagda\n",
      "City not found. Skipping...\n",
      "Processing Record 42 of Set 5 | victoria\n",
      "Processing Record 43 of Set 5 | sisimiut\n",
      "Processing Record 44 of Set 5 | trelew\n",
      "Processing Record 45 of Set 5 | aban\n",
      "City not found. Skipping...\n",
      "Processing Record 46 of Set 5 | vakhrushev\n",
      "Processing Record 47 of Set 5 | pierre\n",
      "Processing Record 48 of Set 5 | ilulissat\n",
      "Processing Record 49 of Set 5 | lorengau\n",
      "Processing Record 0 of Set 6 | mokrousovo\n",
      "Processing Record 1 of Set 6 | baltay\n",
      "Processing Record 2 of Set 6 | kainantu\n",
      "Processing Record 3 of Set 6 | goulburn\n",
      "Processing Record 4 of Set 6 | lincoln\n",
      "Processing Record 5 of Set 6 | harnosand\n",
      "Processing Record 6 of Set 6 | camana\n",
      "City not found. Skipping...\n",
      "Processing Record 7 of Set 6 | pleshanovo\n",
      "Processing Record 8 of Set 6 | ostrovnoy\n",
      "Processing Record 9 of Set 6 | porto novo\n",
      "Processing Record 10 of Set 6 | kawana waters\n",
      "City not found. Skipping...\n",
      "Processing Record 11 of Set 6 | quatre cocos\n",
      "Processing Record 12 of Set 6 | marzuq\n",
      "Processing Record 13 of Set 6 | prince george\n",
      "Processing Record 14 of Set 6 | grand river south east\n",
      "City not found. Skipping...\n",
      "Processing Record 15 of Set 6 | sorsk\n",
      "Processing Record 16 of Set 6 | port blair\n",
      "Processing Record 17 of Set 6 | shihezi\n",
      "Processing Record 18 of Set 6 | coffs harbour\n",
      "Processing Record 19 of Set 6 | rasova\n",
      "Processing Record 20 of Set 6 | dingle\n",
      "Processing Record 21 of Set 6 | la primavera\n",
      "Processing Record 22 of Set 6 | tezu\n",
      "Processing Record 23 of Set 6 | qasigiannguit\n",
      "Processing Record 24 of Set 6 | westport\n",
      "Processing Record 25 of Set 6 | peleduy\n",
      "Processing Record 26 of Set 6 | yei\n",
      "City not found. Skipping...\n",
      "Processing Record 27 of Set 6 | dakar\n",
      "Processing Record 28 of Set 6 | temaraia\n",
      "City not found. Skipping...\n",
      "Processing Record 29 of Set 6 | pisco\n",
      "Processing Record 30 of Set 6 | buzuluk\n",
      "Processing Record 31 of Set 6 | jahrom\n",
      "City not found. Skipping...\n",
      "Processing Record 32 of Set 6 | ponferrada\n",
      "Processing Record 33 of Set 6 | kaeo\n",
      "Processing Record 34 of Set 6 | chimbote\n",
      "Processing Record 35 of Set 6 | rocha\n",
      "Processing Record 36 of Set 6 | kurkino\n",
      "Processing Record 37 of Set 6 | kavaratti\n",
      "Processing Record 38 of Set 6 | puri\n",
      "Processing Record 39 of Set 6 | maues\n",
      "Processing Record 40 of Set 6 | kapit\n",
      "Processing Record 41 of Set 6 | sinegorye\n",
      "Processing Record 42 of Set 6 | thompson\n",
      "Processing Record 43 of Set 6 | kadykchan\n",
      "City not found. Skipping...\n",
      "Processing Record 44 of Set 6 | itaueira\n",
      "Processing Record 45 of Set 6 | georgetown\n",
      "Processing Record 46 of Set 6 | parana\n",
      "Processing Record 47 of Set 6 | govindgarh\n",
      "Processing Record 48 of Set 6 | laguna\n",
      "Processing Record 49 of Set 6 | tura\n",
      "Processing Record 0 of Set 7 | nhulunbuy\n",
      "Processing Record 1 of Set 7 | buala\n",
      "Processing Record 2 of Set 7 | ngunguru\n",
      "Processing Record 3 of Set 7 | abu zabad\n",
      "Processing Record 4 of Set 7 | katete\n",
      "Processing Record 5 of Set 7 | flin flon\n",
      "Processing Record 6 of Set 7 | fayaoue\n",
      "Processing Record 7 of Set 7 | umzimvubu\n",
      "City not found. Skipping...\n",
      "Processing Record 8 of Set 7 | port hedland\n",
      "Processing Record 9 of Set 7 | omsukchan\n",
      "Processing Record 10 of Set 7 | la asuncion\n",
      "Processing Record 11 of Set 7 | hambantota\n",
      "Processing Record 12 of Set 7 | matagami\n",
      "Processing Record 13 of Set 7 | palmer\n",
      "Processing Record 14 of Set 7 | dzhebariki-khaya\n",
      "Processing Record 15 of Set 7 | shitanjing\n",
      "Processing Record 16 of Set 7 | ixtapa\n",
      "Processing Record 17 of Set 7 | bethel\n",
      "Processing Record 18 of Set 7 | khani\n",
      "Processing Record 19 of Set 7 | saint george\n",
      "Processing Record 20 of Set 7 | whitehorse\n",
      "Processing Record 21 of Set 7 | isiolo\n",
      "Processing Record 22 of Set 7 | sao paulo de olivenca\n",
      "Processing Record 23 of Set 7 | buckeye\n",
      "Processing Record 24 of Set 7 | wewak\n",
      "Processing Record 25 of Set 7 | huarmey\n",
      "Processing Record 26 of Set 7 | satitoa\n",
      "City not found. Skipping...\n",
      "Processing Record 27 of Set 7 | la libertad\n",
      "Processing Record 28 of Set 7 | norman wells\n",
      "Processing Record 29 of Set 7 | dicabisagan\n",
      "Processing Record 30 of Set 7 | kavieng\n",
      "Processing Record 31 of Set 7 | wladyslawowo\n",
      "Processing Record 32 of Set 7 | kemin\n",
      "Processing Record 33 of Set 7 | coolum beach\n",
      "Processing Record 34 of Set 7 | rosetta\n",
      "Processing Record 35 of Set 7 | bermeo\n",
      "Processing Record 36 of Set 7 | turtas\n",
      "Processing Record 37 of Set 7 | mount gambier\n",
      "Processing Record 38 of Set 7 | key west\n",
      "Processing Record 39 of Set 7 | aklavik\n",
      "Processing Record 40 of Set 7 | tikapur\n",
      "Processing Record 41 of Set 7 | oranjestad\n",
      "Processing Record 42 of Set 7 | calvinia\n",
      "Processing Record 43 of Set 7 | kahului\n",
      "Processing Record 44 of Set 7 | gaziantep\n",
      "Processing Record 45 of Set 7 | port augusta\n",
      "Processing Record 46 of Set 7 | turukhansk\n",
      "Processing Record 47 of Set 7 | roma\n",
      "Processing Record 48 of Set 7 | buraydah\n",
      "Processing Record 49 of Set 7 | andenes\n",
      "City not found. Skipping...\n",
      "Processing Record 0 of Set 8 | coihaique\n",
      "Processing Record 1 of Set 8 | surt\n",
      "Processing Record 2 of Set 8 | rawannawi\n",
      "City not found. Skipping...\n",
      "Processing Record 3 of Set 8 | nanjangud\n",
      "Processing Record 4 of Set 8 | saravan\n",
      "Processing Record 5 of Set 8 | penzance\n",
      "Processing Record 6 of Set 8 | mehamn\n",
      "Processing Record 7 of Set 8 | baherden\n",
      "Processing Record 8 of Set 8 | minbu\n",
      "Processing Record 9 of Set 8 | hamina\n",
      "Processing Record 10 of Set 8 | mackay\n",
      "Processing Record 11 of Set 8 | omaruru\n",
      "Processing Record 12 of Set 8 | roald\n",
      "Processing Record 13 of Set 8 | tashtyp\n",
      "Processing Record 14 of Set 8 | kyra\n",
      "City not found. Skipping...\n",
      "Processing Record 15 of Set 8 | walvis bay\n",
      "Processing Record 16 of Set 8 | kloulklubed\n",
      "Processing Record 17 of Set 8 | le port\n",
      "Processing Record 18 of Set 8 | hokitika\n",
      "Processing Record 19 of Set 8 | guapi\n",
      "Processing Record 20 of Set 8 | manyana\n",
      "Processing Record 21 of Set 8 | airai\n",
      "Processing Record 22 of Set 8 | wajid\n",
      "Processing Record 23 of Set 8 | mumford\n",
      "Processing Record 24 of Set 8 | labuhan\n",
      "Processing Record 25 of Set 8 | sabang\n",
      "Processing Record 26 of Set 8 | batagay-alyta\n",
      "Processing Record 27 of Set 8 | ambodifototra\n",
      "City not found. Skipping...\n",
      "Processing Record 28 of Set 8 | gouyave\n",
      "Processing Record 29 of Set 8 | avera\n",
      "Processing Record 30 of Set 8 | zonguldak\n",
      "Processing Record 31 of Set 8 | tokur\n",
      "Processing Record 32 of Set 8 | pyay\n",
      "Processing Record 33 of Set 8 | ulladulla\n",
      "Processing Record 34 of Set 8 | grand-santi\n",
      "Processing Record 35 of Set 8 | urusha\n",
      "Processing Record 36 of Set 8 | lata\n",
      "Processing Record 37 of Set 8 | anar darreh\n",
      "City not found. Skipping...\n",
      "Processing Record 38 of Set 8 | tazovskiy\n",
      "Processing Record 39 of Set 8 | kefamenanu\n",
      "Processing Record 40 of Set 8 | agva\n",
      "City not found. Skipping...\n",
      "Processing Record 41 of Set 8 | kysyl-syr\n",
      "Processing Record 42 of Set 8 | wajima\n",
      "Processing Record 43 of Set 8 | kargopol\n",
      "Processing Record 44 of Set 8 | tubruq\n",
      "City not found. Skipping...\n",
      "Processing Record 45 of Set 8 | ovalle\n",
      "Processing Record 46 of Set 8 | wadi musa\n",
      "Processing Record 47 of Set 8 | iguape\n",
      "Processing Record 48 of Set 8 | san juan\n",
      "Processing Record 49 of Set 8 | vinh\n",
      "Processing Record 0 of Set 9 | kuminskiy\n",
      "Processing Record 1 of Set 9 | samalaeulu\n",
      "City not found. Skipping...\n",
      "Processing Record 2 of Set 9 | honningsvag\n",
      "Processing Record 3 of Set 9 | harper\n",
      "Processing Record 4 of Set 9 | batasan\n",
      "Processing Record 5 of Set 9 | yumen\n",
      "Processing Record 6 of Set 9 | tutoia\n",
      "Processing Record 7 of Set 9 | tazmalt\n",
      "Processing Record 8 of Set 9 | lavrentiya\n",
      "Processing Record 9 of Set 9 | sarmanovo\n",
      "Processing Record 10 of Set 9 | edgewater\n",
      "Processing Record 11 of Set 9 | gushikawa\n",
      "Processing Record 12 of Set 9 | kalmunai\n",
      "Processing Record 13 of Set 9 | houma\n",
      "Processing Record 14 of Set 9 | vila\n",
      "Processing Record 15 of Set 9 | umba\n",
      "Processing Record 16 of Set 9 | pevek\n",
      "Processing Record 17 of Set 9 | adrar\n",
      "Processing Record 18 of Set 9 | termiz\n",
      "Processing Record 19 of Set 9 | luanda\n",
      "Processing Record 20 of Set 9 | maniitsoq\n",
      "Processing Record 21 of Set 9 | yuncheng\n",
      "Processing Record 22 of Set 9 | port shepstone\n",
      "Processing Record 23 of Set 9 | truth or consequences\n",
      "Processing Record 24 of Set 9 | acapulco\n",
      "Processing Record 25 of Set 9 | necochea\n",
      "Processing Record 26 of Set 9 | broome\n",
      "Processing Record 27 of Set 9 | laredo\n",
      "Processing Record 28 of Set 9 | paradwip\n",
      "City not found. Skipping...\n",
      "Processing Record 29 of Set 9 | fort smith\n",
      "Processing Record 30 of Set 9 | comodoro rivadavia\n",
      "Processing Record 31 of Set 9 | ferme-neuve\n",
      "Processing Record 32 of Set 9 | dengzhou\n",
      "Processing Record 33 of Set 9 | kamennogorsk\n",
      "Processing Record 34 of Set 9 | padang\n",
      "Processing Record 35 of Set 9 | sorvag\n",
      "City not found. Skipping...\n",
      "Processing Record 36 of Set 9 | sorland\n",
      "Processing Record 37 of Set 9 | huangchuan\n",
      "Processing Record 38 of Set 9 | alofi\n",
      "Processing Record 39 of Set 9 | sur\n",
      "Processing Record 40 of Set 9 | tocopilla\n",
      "Processing Record 41 of Set 9 | rudbar\n",
      "City not found. Skipping...\n",
      "Processing Record 42 of Set 9 | galesong\n",
      "Processing Record 43 of Set 9 | paamiut\n",
      "Processing Record 44 of Set 9 | narsaq\n",
      "Processing Record 45 of Set 9 | sungaipenuh\n",
      "Processing Record 46 of Set 9 | papara\n",
      "Processing Record 47 of Set 9 | kuche\n",
      "City not found. Skipping...\n",
      "Processing Record 48 of Set 9 | isangel\n",
      "Processing Record 49 of Set 9 | kamyshlov\n",
      "Processing Record 0 of Set 10 | ponta do sol\n",
      "Processing Record 1 of Set 10 | lengshuitan\n",
      "Processing Record 2 of Set 10 | thinadhoo\n",
      "Processing Record 3 of Set 10 | saint anthony\n",
      "Processing Record 4 of Set 10 | yulara\n",
      "Processing Record 5 of Set 10 | kokopo\n",
      "Processing Record 6 of Set 10 | iqaluit\n",
      "Processing Record 7 of Set 10 | longyearbyen\n",
      "Processing Record 8 of Set 10 | los llanos de aridane\n",
      "Processing Record 9 of Set 10 | hayden\n",
      "Processing Record 10 of Set 10 | erzurum\n",
      "Processing Record 11 of Set 10 | bonthe\n",
      "Processing Record 12 of Set 10 | ketchikan\n",
      "Processing Record 13 of Set 10 | barkhan\n",
      "Processing Record 14 of Set 10 | euclides da cunha\n",
      "Processing Record 15 of Set 10 | sanghar\n",
      "Processing Record 16 of Set 10 | te anau\n",
      "Processing Record 17 of Set 10 | valleyview\n",
      "Processing Record 18 of Set 10 | cidreira\n",
      "Processing Record 19 of Set 10 | banda aceh\n",
      "Processing Record 20 of Set 10 | tagusao\n",
      "Processing Record 21 of Set 10 | terrace\n",
      "Processing Record 22 of Set 10 | el chichicaste\n",
      "Processing Record 23 of Set 10 | gberia fotombu\n",
      "Processing Record 24 of Set 10 | ranir bazar\n",
      "Processing Record 25 of Set 10 | grindsted\n",
      "Processing Record 26 of Set 10 | katsuura\n",
      "Processing Record 27 of Set 10 | qaqortoq\n",
      "Processing Record 28 of Set 10 | pontes e lacerda\n",
      "Processing Record 29 of Set 10 | bata\n",
      "Processing Record 30 of Set 10 | kingston\n",
      "Processing Record 31 of Set 10 | aleksandrovka\n",
      "Processing Record 32 of Set 10 | vostok\n",
      "Processing Record 33 of Set 10 | puerto madryn\n",
      "Processing Record 34 of Set 10 | yuzhnyy\n",
      "Processing Record 35 of Set 10 | bulungu\n",
      "Processing Record 36 of Set 10 | kollam\n",
      "Processing Record 37 of Set 10 | progreso\n",
      "Processing Record 38 of Set 10 | visby\n",
      "Processing Record 39 of Set 10 | ilebo\n",
      "Processing Record 40 of Set 10 | ajdabiya\n",
      "Processing Record 41 of Set 10 | maine-soroa\n",
      "Processing Record 42 of Set 10 | sayreville\n",
      "Processing Record 43 of Set 10 | palana\n",
      "Processing Record 44 of Set 10 | acajutiba\n",
      "Processing Record 45 of Set 10 | lakatoro\n",
      "Processing Record 46 of Set 10 | solsvik\n",
      "City not found. Skipping...\n",
      "Processing Record 47 of Set 10 | lakes entrance\n",
      "Processing Record 48 of Set 10 | ludza\n",
      "Processing Record 49 of Set 10 | zvishavane\n",
      "Processing Record 0 of Set 11 | mao\n",
      "Processing Record 1 of Set 11 | seaham\n",
      "Processing Record 2 of Set 11 | kaa-khem\n",
      "Processing Record 3 of Set 11 | grindavik\n",
      "Processing Record 4 of Set 11 | pangody\n",
      "Processing Record 5 of Set 11 | zhuzhou\n",
      "Processing Record 6 of Set 11 | clyde river\n",
      "Processing Record 7 of Set 11 | estelle\n",
      "Processing Record 8 of Set 11 | ulaanbaatar\n",
      "Processing Record 9 of Set 11 | victoria point\n",
      "Processing Record 10 of Set 11 | flores\n",
      "Processing Record 11 of Set 11 | cairns\n",
      "Processing Record 12 of Set 11 | beyneu\n",
      "Processing Record 13 of Set 11 | hoquiam\n",
      "Processing Record 14 of Set 11 | kurilsk\n",
      "Processing Record 15 of Set 11 | albuquerque\n",
      "Processing Record 16 of Set 11 | tomatlan\n",
      "Processing Record 17 of Set 11 | blackfoot\n",
      "Processing Record 18 of Set 11 | anito\n",
      "Processing Record 19 of Set 11 | meybod\n",
      "Processing Record 20 of Set 11 | muscat\n",
      "Processing Record 21 of Set 11 | san patricio\n",
      "Processing Record 22 of Set 11 | pali\n",
      "Processing Record 23 of Set 11 | atambua\n",
      "Processing Record 24 of Set 11 | mocambique\n",
      "City not found. Skipping...\n",
      "Processing Record 25 of Set 11 | kuytun\n",
      "Processing Record 26 of Set 11 | lamu\n",
      "Processing Record 27 of Set 11 | bandarbeyla\n",
      "Processing Record 28 of Set 11 | eenhana\n",
      "Processing Record 29 of Set 11 | newburn\n",
      "Processing Record 30 of Set 11 | changli\n",
      "Processing Record 31 of Set 11 | toowoomba\n",
      "Processing Record 32 of Set 11 | banjar\n",
      "Processing Record 33 of Set 11 | hohhot\n",
      "Processing Record 34 of Set 11 | debre birhan\n",
      "Processing Record 35 of Set 11 | nelson bay\n",
      "Processing Record 36 of Set 11 | sibu\n",
      "Processing Record 37 of Set 11 | black river\n",
      "City not found. Skipping...\n",
      "Processing Record 38 of Set 11 | thaba-tseka\n",
      "Processing Record 39 of Set 11 | hobyo\n",
      "Processing Record 40 of Set 11 | bela vista de goias\n",
      "Processing Record 41 of Set 11 | ugoofaaru\n",
      "Processing Record 42 of Set 11 | dali\n",
      "Processing Record 43 of Set 11 | kadaya\n",
      "Processing Record 44 of Set 11 | kensington\n",
      "Processing Record 45 of Set 11 | zhigansk\n",
      "Processing Record 46 of Set 11 | merritt island\n",
      "Processing Record 47 of Set 11 | yamada\n",
      "Processing Record 48 of Set 11 | kamenskoye\n",
      "City not found. Skipping...\n",
      "Processing Record 49 of Set 11 | baghdad\n",
      "Processing Record 0 of Set 12 | havre-saint-pierre\n",
      "Processing Record 1 of Set 12 | alta floresta\n",
      "Processing Record 2 of Set 12 | rio grande\n",
      "Processing Record 3 of Set 12 | wuwei\n",
      "Processing Record 4 of Set 12 | arman\n",
      "Processing Record 5 of Set 12 | salamiyah\n",
      "Processing Record 6 of Set 12 | vestmannaeyjar\n",
      "Processing Record 7 of Set 12 | dondo\n",
      "Processing Record 8 of Set 12 | gallup\n",
      "Processing Record 9 of Set 12 | micheweni\n",
      "Processing Record 10 of Set 12 | yanam\n",
      "Processing Record 11 of Set 12 | nipawin\n",
      "Processing Record 12 of Set 12 | jalu\n",
      "Processing Record 13 of Set 12 | brae\n",
      "Processing Record 14 of Set 12 | alappuzha\n",
      "City not found. Skipping...\n",
      "Processing Record 15 of Set 12 | leonidovo\n",
      "Processing Record 16 of Set 12 | krasnyy yar\n",
      "Processing Record 17 of Set 12 | nyimba\n",
      "Processing Record 18 of Set 12 | simao\n",
      "Processing Record 19 of Set 12 | kharsia\n",
      "Processing Record 20 of Set 12 | asekeyevo\n",
      "Processing Record 21 of Set 12 | haibowan\n",
      "City not found. Skipping...\n",
      "Processing Record 22 of Set 12 | les herbiers\n",
      "Processing Record 23 of Set 12 | bonavista\n",
      "Processing Record 24 of Set 12 | belaya gora\n",
      "Processing Record 25 of Set 12 | gao\n",
      "Processing Record 26 of Set 12 | yerbogachen\n",
      "Processing Record 27 of Set 12 | porechye-rybnoye\n",
      "Processing Record 28 of Set 12 | san andres\n",
      "Processing Record 29 of Set 12 | fairbanks\n",
      "Processing Record 30 of Set 12 | george\n",
      "Processing Record 31 of Set 12 | bradford\n",
      "Processing Record 32 of Set 12 | lago da pedra\n",
      "City not found. Skipping...\n",
      "Processing Record 33 of Set 12 | jomalig\n",
      "City not found. Skipping...\n",
      "Processing Record 34 of Set 12 | port lincoln\n",
      "Processing Record 35 of Set 12 | carutapera\n",
      "Processing Record 36 of Set 12 | awjilah\n",
      "Processing Record 37 of Set 12 | naryan-mar\n",
      "Processing Record 38 of Set 12 | la ronge\n",
      "Processing Record 39 of Set 12 | natal\n",
      "Processing Record 40 of Set 12 | nevsehir\n",
      "Processing Record 41 of Set 12 | turayf\n",
      "Processing Record 42 of Set 12 | temiscaming\n",
      "Processing Record 43 of Set 12 | gardan diwal\n",
      "City not found. Skipping...\n",
      "Processing Record 44 of Set 12 | kupang\n",
      "Processing Record 45 of Set 12 | port-cartier\n",
      "Processing Record 46 of Set 12 | storm lake\n",
      "Processing Record 47 of Set 12 | manokwari\n",
      "Processing Record 48 of Set 12 | julich\n",
      "Processing Record 49 of Set 12 | makung\n",
      "City not found. Skipping...\n",
      "Processing Record 0 of Set 13 | viedma\n",
      "Processing Record 1 of Set 13 | dolbeau\n",
      "City not found. Skipping...\n",
      "Processing Record 2 of Set 13 | sarkand\n",
      "Processing Record 3 of Set 13 | jhang\n",
      "Processing Record 4 of Set 13 | naze\n",
      "Processing Record 5 of Set 13 | zory\n",
      "Processing Record 6 of Set 13 | labuan\n",
      "Processing Record 7 of Set 13 | luwuk\n",
      "Processing Record 8 of Set 13 | sao felix do xingu\n",
      "Processing Record 9 of Set 13 | fonte boa\n",
      "Processing Record 10 of Set 13 | mahibadhoo\n",
      "Processing Record 11 of Set 13 | loukhi\n",
      "Processing Record 12 of Set 13 | mount isa\n",
      "Processing Record 13 of Set 13 | kargasok\n",
      "Processing Record 14 of Set 13 | mandera\n",
      "Processing Record 15 of Set 13 | praya\n",
      "-----------------------------\n",
      "Data Retrieval Complete      \n",
      "-----------------------------\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Convert Raw Data to DataFrame\n",
    "* Export the city data into a .csv.\n",
    "* Display the DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "City          547\n",
       "Cloudiness    547\n",
       "Country       547\n",
       "Date          547\n",
       "Humidity      547\n",
       "Lat           547\n",
       "Lng           547\n",
       "Max Temp      547\n",
       "Wind Speed    547\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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</th>\n",
       "      <th>Wind Speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>lompoc</td>\n",
       "      <td>1</td>\n",
       "      <td>US</td>\n",
       "      <td>1534984500</td>\n",
       "      <td>44</td>\n",
       "      <td>34.64</td>\n",
       "      <td>-120.46</td>\n",
       "      <td>77.00</td>\n",
       "      <td>11.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>klaksvik</td>\n",
       "      <td>92</td>\n",
       "      <td>FO</td>\n",
       "      <td>1534983600</td>\n",
       "      <td>100</td>\n",
       "      <td>62.23</td>\n",
       "      <td>-6.59</td>\n",
       "      <td>50.00</td>\n",
       "      <td>13.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>bisignano</td>\n",
       "      <td>0</td>\n",
       "      <td>IT</td>\n",
       "      <td>1534981800</td>\n",
       "      <td>88</td>\n",
       "      <td>39.50</td>\n",
       "      <td>16.27</td>\n",
       "      <td>66.20</td>\n",
       "      <td>5.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>hilo</td>\n",
       "      <td>90</td>\n",
       "      <td>US</td>\n",
       "      <td>1534984860</td>\n",
       "      <td>90</td>\n",
       "      <td>19.71</td>\n",
       "      <td>-155.08</td>\n",
       "      <td>77.00</td>\n",
       "      <td>8.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>rikitea</td>\n",
       "      <td>8</td>\n",
       "      <td>PF</td>\n",
       "      <td>1534986579</td>\n",
       "      <td>100</td>\n",
       "      <td>-23.12</td>\n",
       "      <td>-134.97</td>\n",
       "      <td>69.58</td>\n",
       "      <td>19.71</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        City  Cloudiness Country        Date  Humidity    Lat     Lng  \\\n",
       "0     lompoc           1      US  1534984500        44  34.64 -120.46   \n",
       "1   klaksvik          92      FO  1534983600       100  62.23   -6.59   \n",
       "2  bisignano           0      IT  1534981800        88  39.50   16.27   \n",
       "3       hilo          90      US  1534984860        90  19.71 -155.08   \n",
       "4    rikitea           8      PF  1534986579       100 -23.12 -134.97   \n",
       "\n",
       "   Max Temp  Wind Speed  \n",
       "0     77.00       11.41  \n",
       "1     50.00       13.87  \n",
       "2     66.20        5.82  \n",
       "3     77.00        8.05  \n",
       "4     69.58       19.71  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting the Data\n",
    "* Use proper labeling of the plots using plot titles (including date of analysis) and axes labels.\n",
    "* Save the plotted figures as .pngs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Latitude vs. Temperature Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Latitude vs. Humidity Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Latitude vs. Cloudiness Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Latitude vs. Wind Speed Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernel_info": {
   "name": "python3"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  },
  "nteract": {
   "version": "0.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}