World_Weather_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ce03cbe4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the dependencies.\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "# Import the requests library.\n",
    "import requests\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "69071096",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<zip at 0x2bc41c28f48>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a set of random latitude and longitude 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",
    "lat_lngs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7970c81a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add the latitudes and longitudes to a list.\n",
    "coordinates = list(lat_lngs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fbde3009",
   "metadata": {},
   "outputs": [],
   "source": [
    "from citipy import citipy\n",
    "from config import weather_api_key"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e4f12d0f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "http://api.openweathermap.org/data/2.5/weather?units=Imperial&APPID=5a18d4be393c468ae3c8bf43e9b87aef\n"
     ]
    }
   ],
   "source": [
    "# Starting URL for Weather Map API Call.\n",
    "url = \"http://api.openweathermap.org/data/2.5/weather?units=Imperial&APPID=\" + weather_api_key\n",
    "print(url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7f77588b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the datetime module from the datetime library.\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1c2b536a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "621"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a list for holding the cities.\n",
    "cities = []\n",
    "# Identify the nearest city for each latitude and longitude combination.\n",
    "for coordinate in coordinates:\n",
    "    city = citipy.nearest_city(coordinate[0], coordinate[1]).city_name\n",
    "\n",
    "    # If the city is unique, then we will add it to the cities list.\n",
    "    if city not in cities:\n",
    "        cities.append(city)\n",
    "# Print the city count to confirm sufficient count.\n",
    "len(cities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d3e01f5b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hami cn\n",
      "waitati nz\n",
      "ushuaia ar\n",
      "komsomolskiy ru\n",
      "georgetown sh\n",
      "qaanaaq gl\n",
      "mataura pf\n",
      "rikitea pf\n",
      "fukue jp\n",
      "hithadhoo mv\n",
      "port alfred za\n",
      "lagoa pt\n",
      "ushuaia ar\n",
      "jamestown sh\n",
      "albany au\n",
      "ayan ru\n",
      "mar del plata ar\n",
      "arman ru\n",
      "nikolskoye ru\n",
      "ushuaia ar\n",
      "barentsburg sj\n",
      "katsuura jp\n",
      "nome us\n",
      "chandbali in\n",
      "lewiston us\n",
      "berlevag no\n",
      "dikson ru\n",
      "lebu cl\n",
      "norwich gb\n",
      "mataura pf\n",
      "tabou ci\n",
      "monroe us\n",
      "mooresville us\n",
      "jamestown sh\n",
      "makakilo city us\n",
      "alzamay ru\n",
      "port alfred za\n",
      "sande no\n",
      "palabuhanratu id\n",
      "chuy uy\n",
      "vila velha br\n",
      "victoria sc\n",
      "monrovia lr\n",
      "kaitangata nz\n",
      "necochea ar\n",
      "tanout ne\n",
      "butaritari ki\n",
      "anar darreh af\n",
      "avarua ck\n",
      "taolanaro mg\n",
      "rikitea pf\n",
      "saint george bm\n",
      "illoqqortoormiut gl\n",
      "ushuaia ar\n",
      "rawson ar\n",
      "port blair in\n",
      "yellowknife ca\n",
      "luganville vu\n",
      "upernavik gl\n",
      "santa marta co\n",
      "fairbanks us\n",
      "bilibino ru\n",
      "yerbogachen ru\n",
      "atuona pf\n",
      "farafangana mg\n",
      "barrow us\n",
      "cabo san lucas mx\n",
      "hermanus za\n",
      "marcona pe\n",
      "eureka us\n",
      "busselton au\n",
      "ilulissat gl\n",
      "la romana do\n",
      "roma au\n",
      "avarua ck\n",
      "hobart au\n",
      "kapaa us\n",
      "jamestown sh\n",
      "bluff nz\n",
      "khanpur pk\n",
      "tsihombe mg\n",
      "punta arenas cl\n",
      "auki sb\n",
      "meadow lake ca\n",
      "quatre cocos mu\n",
      "vaini to\n",
      "lazaro cardenas mx\n",
      "barinas ve\n",
      "cape town za\n",
      "severo-kurilsk ru\n",
      "zhangjiakou cn\n",
      "cape town za\n",
      "taolanaro mg\n",
      "kapaa us\n",
      "kahului us\n",
      "bethel us\n",
      "rikitea pf\n",
      "khurja in\n",
      "tautira pf\n",
      "torres br\n",
      "sinnamary gf\n",
      "port alfred za\n",
      "tahoua ne\n",
      "boyuibe bo\n",
      "bambanglipuro id\n",
      "punta arenas cl\n",
      "cape town za\n",
      "tonantins br\n",
      "jamestown sh\n",
      "tuatapere nz\n",
      "kloulklubed pw\n",
      "kapaa us\n",
      "ushuaia ar\n",
      "krasnoselkup ru\n",
      "cairns au\n",
      "yellowknife ca\n",
      "tabiauea ki\n",
      "maceio br\n",
      "barentsburg sj\n",
      "taolanaro mg\n",
      "amga ru\n",
      "rio grande br\n",
      "rikitea pf\n",
      "cape town za\n",
      "kodiak us\n",
      "alofi nu\n",
      "barrow us\n",
      "port alfred za\n",
      "bredasdorp za\n",
      "sayan pe\n",
      "praia da vitoria pt\n",
      "norman wells ca\n",
      "jamestown sh\n",
      "mayor pablo lagerenza py\n",
      "hamilton bm\n",
      "butaritari ki\n",
      "kongolo cd\n",
      "mataura pf\n",
      "faya td\n",
      "klaeng th\n",
      "mar del plata ar\n",
      "buala sb\n",
      "hilo us\n",
      "nador ma\n",
      "mataura pf\n",
      "hilo us\n",
      "jamestown sh\n",
      "albany au\n",
      "mamallapuram in\n",
      "sayyan ye\n",
      "qaanaaq gl\n",
      "dikson ru\n",
      "dunedin nz\n",
      "mataura pf\n",
      "mataura pf\n",
      "damietta eg\n",
      "shelburne ca\n",
      "nguiu au\n",
      "airai pw\n",
      "punta arenas cl\n",
      "kabalo cd\n",
      "jamestown sh\n",
      "souillac mu\n",
      "san pedro de cajas pe\n",
      "taolanaro mg\n",
      "samalaeulu ws\n",
      "cockburn town tc\n",
      "poum nc\n",
      "klaksvik fo\n",
      "albany au\n",
      "ushuaia ar\n",
      "gemena cd\n",
      "mandalgovi mn\n",
      "geraldton au\n",
      "krasnyy yar ru\n",
      "thaba-tseka ls\n",
      "zhangjiakou cn\n",
      "faanui pf\n",
      "coquimbo cl\n",
      "pangnirtung ca\n",
      "makaleng bw\n",
      "ushuaia ar\n",
      "kamenskoye ru\n",
      "harlingen nl\n",
      "sentyabrskiy ru\n",
      "talnakh ru\n",
      "attawapiskat ca\n",
      "tevriz ru\n",
      "mataura pf\n",
      "bambous virieux mu\n",
      "kruisfontein za\n",
      "busselton au\n",
      "vaini to\n",
      "tiksi ru\n",
      "kloulklubed pw\n",
      "hithadhoo mv\n",
      "vestbygda no\n",
      "ribeira grande pt\n",
      "samusu ws\n",
      "novopetrovskoye ru\n",
      "honiara sb\n",
      "port blair in\n",
      "kapaa us\n",
      "albany au\n",
      "ushuaia ar\n",
      "victoria sc\n",
      "cape town za\n",
      "hovd mn\n",
      "norman wells ca\n",
      "butaritari ki\n",
      "rocha uy\n",
      "ushuaia ar\n",
      "bluff nz\n",
      "ushuaia ar\n",
      "padang id\n",
      "kenai us\n",
      "rikitea pf\n",
      "pokhara np\n",
      "yellowknife ca\n",
      "ossora ru\n",
      "illoqqortoormiut gl\n",
      "arraial do cabo br\n",
      "pangody ru\n",
      "castro cl\n",
      "mataura pf\n",
      "puerto ayora ec\n",
      "kapaa us\n",
      "cabot us\n",
      "bluff nz\n",
      "saint-philippe re\n",
      "nantucket us\n",
      "butaritari ki\n",
      "katherine au\n",
      "noyabrsk ru\n",
      "portland au\n",
      "tecoanapa mx\n",
      "albany au\n",
      "vaini to\n",
      "ciudad bolivar ve\n",
      "vaini to\n",
      "rikitea pf\n",
      "ancud cl\n",
      "fortuna us\n",
      "barrow us\n",
      "mar del plata ar\n",
      "san juan del sur ni\n",
      "ushuaia ar\n",
      "subaan ph\n",
      "kodiak us\n",
      "belushya guba ru\n",
      "jamestown sh\n",
      "port elizabeth za\n",
      "honningsvag no\n",
      "ambilobe mg\n",
      "castro cl\n",
      "fort nelson ca\n",
      "necochea ar\n",
      "amboasary mg\n",
      "cherskiy ru\n",
      "victoria sc\n",
      "hobart au\n",
      "adrar dz\n",
      "bethel us\n",
      "mount isa au\n",
      "cody us\n",
      "rikitea pf\n",
      "chokurdakh ru\n",
      "belushya guba ru\n",
      "saint-francois gp\n",
      "rafai cf\n",
      "quatre cocos mu\n",
      "rikitea pf\n",
      "mataura pf\n",
      "sinnamary gf\n",
      "bakel sn\n",
      "hasaki jp\n",
      "manta ec\n",
      "atuona pf\n",
      "qaanaaq gl\n",
      "sao jose da coroa grande br\n",
      "saskylakh ru\n",
      "busselton au\n",
      "madimba tz\n",
      "barentsburg sj\n",
      "biak id\n",
      "tumannyy ru\n",
      "ushuaia ar\n",
      "rikitea pf\n",
      "betioky mg\n",
      "negara id\n",
      "mataura pf\n",
      "busselton au\n",
      "trairi br\n",
      "castro cl\n",
      "klaksvik fo\n",
      "rikitea pf\n",
      "saskylakh ru\n",
      "kayattar in\n",
      "kodiak us\n",
      "mar del plata ar\n",
      "sentyabrskiy ru\n",
      "georgetown sh\n",
      "ben tre vn\n",
      "rikitea pf\n",
      "pacific grove us\n",
      "hobart au\n",
      "jamestown sh\n",
      "seoul kr\n",
      "kapaa us\n",
      "chokurdakh ru\n",
      "mataura pf\n",
      "attawapiskat ca\n",
      "nizhneyansk ru\n",
      "mehamn no\n",
      "ponta do sol cv\n",
      "tanout ne\n",
      "rikitea pf\n",
      "kapaa us\n",
      "liverpool ca\n",
      "ahipara nz\n",
      "emerald au\n",
      "saint-philippe re\n",
      "castro cl\n",
      "rikitea pf\n",
      "todos santos mx\n",
      "rikitea pf\n",
      "rikitea pf\n",
      "arraial do cabo br\n",
      "saint george bm\n",
      "kapaa us\n",
      "rikitea pf\n",
      "lumsden ca\n",
      "cape town za\n",
      "busselton au\n",
      "college us\n",
      "krasnoselkup ru\n",
      "port lincoln au\n",
      "esperance au\n",
      "cherskiy ru\n",
      "vaini to\n",
      "jamestown sh\n",
      "marienburg sr\n",
      "fortuna us\n",
      "burgeo ca\n",
      "marshall us\n",
      "am timan td\n",
      "victoria sc\n",
      "acajutla sv\n",
      "bredasdorp za\n",
      "punta arenas cl\n",
      "eastbourne gb\n",
      "ushuaia ar\n",
      "east london za\n",
      "thompson ca\n",
      "cidreira br\n",
      "talnakh ru\n",
      "hobart au\n",
      "chagda ru\n",
      "sharkan ru\n",
      "fortuna us\n",
      "verkhoyansk ru\n",
      "albany au\n",
      "punta arenas cl\n",
      "seidu sl\n",
      "igrim ru\n",
      "puerto ayora ec\n",
      "salinopolis br\n",
      "iqaluit ca\n",
      "east london za\n",
      "mackenzie ca\n",
      "nador ma\n",
      "ponta delgada pt\n",
      "hilo us\n",
      "chokurdakh ru\n",
      "mandalgovi mn\n",
      "hilo us\n",
      "hemsedal no\n",
      "rikitea pf\n",
      "dakar sn\n",
      "east london za\n",
      "kapaa us\n",
      "tasiilaq gl\n",
      "karaton kz\n",
      "lompoc us\n",
      "ustyuzhna ru\n",
      "souillac mu\n",
      "punta arenas cl\n",
      "new norfolk au\n",
      "verkhoturye ru\n",
      "caorle it\n",
      "esperance au\n",
      "ajdabiya ly\n",
      "carnarvon au\n",
      "illoqqortoormiut gl\n",
      "evans us\n",
      "tuktoyaktuk ca\n",
      "daxian cn\n",
      "perth ca\n",
      "marzuq ly\n",
      "bredasdorp za\n",
      "albany au\n",
      "bambous virieux mu\n",
      "rikitea pf\n",
      "mataura pf\n",
      "ucluelet ca\n",
      "ushuaia ar\n",
      "cape town za\n",
      "busselton au\n",
      "leningradskiy ru\n",
      "tabiauea ki\n",
      "dikson ru\n",
      "hermanus za\n",
      "grand river south east mu\n",
      "tasbuget kz\n",
      "zlobin by\n",
      "ust-kamchatsk ru\n",
      "helong cn\n",
      "mataura pf\n",
      "san joaquin bo\n",
      "ushuaia ar\n",
      "aanekoski fi\n",
      "lakatoro vu\n",
      "rikitea pf\n",
      "peruibe br\n",
      "hobart au\n",
      "liberty us\n",
      "roseburg us\n",
      "mar del plata ar\n",
      "busselton au\n",
      "arraial do cabo br\n",
      "tucumcari us\n",
      "atuona pf\n",
      "kapaa us\n",
      "morros br\n",
      "valparaiso cl\n",
      "khatanga ru\n",
      "asyut eg\n",
      "tocopilla cl\n",
      "busselton au\n",
      "brisbane au\n",
      "rikitea pf\n",
      "margate za\n",
      "barrow us\n",
      "cidreira br\n",
      "bluff nz\n",
      "tuktoyaktuk ca\n",
      "rikitea pf\n",
      "cape town za\n",
      "ushuaia ar\n",
      "diego de almagro cl\n",
      "hay river ca\n",
      "jamestown sh\n",
      "mataura pf\n",
      "waipawa nz\n",
      "rikitea pf\n",
      "arraial do cabo br\n",
      "qaanaaq gl\n",
      "yambio sd\n",
      "albany au\n",
      "butaritari ki\n",
      "ushuaia ar\n",
      "rikitea pf\n",
      "lebu cl\n",
      "farrukhnagar in\n",
      "coahuayana mx\n",
      "castro cl\n",
      "ancud cl\n",
      "albany au\n",
      "faanui pf\n",
      "hambantota lk\n",
      "cape town za\n",
      "bima id\n",
      "butaritari ki\n",
      "phan thiet vn\n",
      "sarankhola bd\n",
      "upernavik gl\n",
      "pringsewu id\n",
      "ushuaia ar\n",
      "ozgon kg\n",
      "bengkulu id\n",
      "tiksi ru\n",
      "rikitea pf\n",
      "muravlenko ru\n",
      "yar-sale ru\n",
      "amudat ug\n",
      "kavieng pg\n",
      "kapaa us\n",
      "pangnirtung ca\n",
      "thaba-tseka ls\n",
      "ushuaia ar\n",
      "ushuaia ar\n",
      "bosaso so\n",
      "saleaula ws\n",
      "ushuaia ar\n",
      "mizdah ly\n",
      "rocha uy\n",
      "ribeira grande pt\n",
      "verkhnyaya inta ru\n",
      "hobart au\n",
      "cape town za\n",
      "vila velha br\n",
      "akyab mm\n",
      "punta arenas cl\n",
      "cape town za\n",
      "fortuna us\n",
      "berlevag no\n",
      "hewitt us\n",
      "tezu in\n",
      "batemans bay au\n",
      "biu ng\n",
      "shimoda jp\n",
      "jamestown sh\n",
      "ostersund se\n",
      "jamestown sh\n",
      "dikson ru\n",
      "lolua tv\n",
      "talara pe\n",
      "linxia cn\n",
      "puerto ayora ec\n",
      "tiksi ru\n",
      "sao filipe cv\n",
      "kruisfontein za\n",
      "bredasdorp za\n",
      "kassala sd\n",
      "atuona pf\n",
      "bluff nz\n",
      "bluff nz\n",
      "kahului us\n",
      "atuona pf\n",
      "rikitea pf\n",
      "kamenskoye ru\n",
      "taolanaro mg\n",
      "tasiilaq gl\n",
      "maldonado uy\n",
      "saldanha za\n",
      "east london za\n",
      "novoagansk ru\n",
      "klaksvik fo\n",
      "vostok ru\n",
      "albany au\n",
      "amderma ru\n",
      "dingle ie\n",
      "tahara jp\n",
      "bluff nz\n",
      "ushuaia ar\n",
      "mataura pf\n",
      "big spring us\n",
      "busselton au\n",
      "orotukan ru\n",
      "tiarei pf\n",
      "tumannyy ru\n",
      "rikitea pf\n",
      "new norfolk au\n",
      "hithadhoo mv\n",
      "ushuaia ar\n",
      "busselton au\n",
      "karaul ru\n",
      "lavrentiya ru\n",
      "aripuana br\n",
      "tabou ci\n",
      "goderich sl\n",
      "luorong cn\n",
      "chokurdakh ru\n",
      "codrington ag\n",
      "mahebourg mu\n",
      "half moon bay us\n",
      "tuktoyaktuk ca\n",
      "butaritari ki\n",
      "nikolskoye ru\n",
      "caluquembe ao\n",
      "amderma ru\n",
      "punta arenas cl\n",
      "hermanus za\n",
      "port alfred za\n",
      "upernavik gl\n",
      "nikolskoye ru\n",
      "qaanaaq gl\n",
      "arraial do cabo br\n",
      "bambanglipuro id\n",
      "karratha au\n",
      "taolanaro mg\n",
      "atuona pf\n",
      "illoqqortoormiut gl\n",
      "kui buri th\n",
      "ponta do sol cv\n",
      "puerto ayora ec\n",
      "longyearbyen sj\n",
      "trairi br\n",
      "punta arenas cl\n",
      "ushuaia ar\n",
      "kapaa us\n",
      "belushya guba ru\n",
      "hovd mn\n",
      "marienburg sr\n",
      "illoqqortoormiut gl\n",
      "tuktoyaktuk ca\n",
      "beian cn\n",
      "nisia floresta br\n",
      "saint-joseph re\n",
      "lorengau pg\n",
      "makakilo city us\n",
      "sao filipe cv\n",
      "bosaso so\n",
      "ketchikan us\n",
      "yellowknife ca\n",
      "foligno it\n",
      "ngukurr au\n",
      "hilo us\n",
      "albany au\n",
      "lavrentiya ru\n",
      "pevek ru\n",
      "atuona pf\n",
      "kaitangata nz\n",
      "castro cl\n",
      "punta arenas cl\n",
      "ribeira grande pt\n",
      "belaya gora ru\n",
      "busselton au\n",
      "punta arenas cl\n",
      "punta arenas cl\n",
      "port hardy ca\n",
      "kodiak us\n",
      "tumannyy ru\n",
      "jamestown sh\n",
      "busselton au\n",
      "victoria sc\n",
      "komsomolskiy ru\n",
      "vaitape pf\n",
      "rikitea pf\n",
      "mataura pf\n",
      "izmir tr\n",
      "potgietersrus za\n",
      "mount isa au\n",
      "tsihombe mg\n",
      "new norfolk au\n",
      "sioux lookout ca\n",
      "lorengau pg\n",
      "isangel vu\n",
      "rikitea pf\n",
      "hobart au\n",
      "rikitea pf\n",
      "busselton au\n",
      "yellowknife ca\n",
      "nerchinskiy zavod ru\n",
      "eltham nz\n",
      "ejura gh\n",
      "baruun-urt mn\n",
      "chuy uy\n",
      "butaritari ki\n",
      "saint anthony ca\n",
      "souillac mu\n",
      "fairbanks us\n",
      "taolanaro mg\n",
      "lebu cl\n",
      "busselton au\n",
      "gat ly\n",
      "salalah om\n",
      "ushuaia ar\n",
      "saleaula ws\n",
      "esperance au\n",
      "attawapiskat ca\n",
      "claveria ph\n",
      "tuktoyaktuk ca\n",
      "fortuna us\n",
      "thompson ca\n",
      "nikolskoye ru\n",
      "samusu ws\n",
      "general roca ar\n",
      "hithadhoo mv\n",
      "newton us\n",
      "wahpeton us\n",
      "narsaq gl\n",
      "punta arenas cl\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "atuona pf\n",
      "mataura pf\n",
      "torbay ca\n",
      "beboto td\n",
      "port elizabeth za\n",
      "koutsouras gr\n",
      "victoria sc\n",
      "punta arenas cl\n",
      "sivaki ru\n",
      "georgetown sh\n",
      "taolanaro mg\n",
      "butaritari ki\n",
      "lamu ke\n",
      "batemans bay au\n",
      "clyde river ca\n",
      "grand river south east mu\n",
      "punta arenas cl\n",
      "pevek ru\n",
      "mataura pf\n",
      "madang pg\n",
      "punta arenas cl\n",
      "rikitea pf\n",
      "rikitea pf\n",
      "avon park us\n",
      "mys shmidta ru\n",
      "bluff nz\n",
      "aykhal ru\n",
      "bengkulu id\n",
      "port alfred za\n",
      "hobart au\n",
      "new norfolk au\n",
      "dikson ru\n",
      "kapaa us\n",
      "nizhniy baskunchak ru\n",
      "taolanaro mg\n",
      "siniscola it\n",
      "chuy uy\n",
      "pangnirtung ca\n",
      "atuona pf\n",
      "cape town za\n",
      "punta arenas cl\n",
      "new norfolk au\n",
      "ushuaia ar\n",
      "rikitea pf\n",
      "esperance au\n",
      "rikitea pf\n",
      "fortuna us\n",
      "hithadhoo mv\n",
      "san patricio mx\n",
      "port elizabeth za\n",
      "kachikau bw\n",
      "brazzaville cg\n",
      "punta arenas cl\n",
      "bluff nz\n",
      "thompson ca\n",
      "dzhebariki-khaya ru\n",
      "alta floresta br\n",
      "rikitea pf\n",
      "dikson ru\n",
      "provideniya ru\n",
      "mataura pf\n",
      "louisbourg ca\n",
      "mogadishu so\n",
      "albany au\n",
      "mataura pf\n",
      "kyra ru\n",
      "bongandanga cd\n",
      "narsaq gl\n",
      "karratha au\n",
      "wasilla us\n",
      "cape town za\n",
      "georgetown sh\n",
      "yellowknife ca\n",
      "berlevag no\n",
      "nabire id\n",
      "amot no\n",
      "atuona pf\n",
      "punta arenas cl\n",
      "cabimas ve\n",
      "punta arenas cl\n",
      "dikson ru\n",
      "dikson ru\n",
      "victoria sc\n",
      "ushuaia ar\n",
      "viedma ar\n",
      "karratha au\n",
      "aquiraz br\n",
      "chuy uy\n",
      "ushuaia ar\n",
      "busselton au\n",
      "luderitz na\n",
      "le pradet fr\n",
      "tuktoyaktuk ca\n",
      "bredasdorp za\n",
      "marolambo mg\n",
      "illoqqortoormiut gl\n",
      "barranca pe\n",
      "bethel us\n",
      "qaanaaq gl\n",
      "thompson ca\n",
      "kruisfontein za\n",
      "vaitupu wf\n",
      "butaritari ki\n",
      "roma au\n",
      "katsuura jp\n",
      "rikitea pf\n",
      "lorengau pg\n",
      "east london za\n",
      "provideniya ru\n",
      "meadow lake ca\n",
      "dikson ru\n",
      "agadez ne\n",
      "butaritari ki\n",
      "mys shmidta ru\n",
      "dikson ru\n",
      "upernavik gl\n",
      "babanusah sd\n",
      "shingu jp\n",
      "banjar id\n",
      "saldanha za\n",
      "bandarbeyla so\n",
      "chengannur in\n",
      "bluff nz\n",
      "san cristobal ec\n",
      "lukovetskiy ru\n",
      "cape town za\n",
      "avarua ck\n",
      "saint-georges gf\n",
      "belushya guba ru\n",
      "geraldton au\n",
      "airai pw\n",
      "vuktyl ru\n",
      "perigueux fr\n",
      "nikolskoye ru\n",
      "hilo us\n",
      "khatanga ru\n",
      "gat ly\n",
      "erdaojiang cn\n",
      "karratha au\n",
      "port said eg\n",
      "port alfred za\n",
      "kapaa us\n",
      "ponta do sol cv\n",
      "khatanga ru\n",
      "cape town za\n",
      "illoqqortoormiut gl\n",
      "luderitz na\n",
      "saint george bm\n",
      "guiglo ci\n",
      "taolanaro mg\n",
      "avarua ck\n",
      "luderitz na\n",
      "tsihombe mg\n",
      "illoqqortoormiut gl\n",
      "fortuna us\n",
      "matveyev kurgan ru\n",
      "madimba tz\n",
      "wamba cd\n",
      "new norfolk au\n",
      "albany au\n",
      "havre-saint-pierre ca\n",
      "longyearbyen sj\n",
      "saleaula ws\n",
      "vaini to\n",
      "deputatskiy ru\n",
      "illoqqortoormiut gl\n",
      "port elizabeth za\n",
      "rajbiraj np\n",
      "ushuaia ar\n",
      "bluff nz\n",
      "mataura pf\n",
      "ushuaia ar\n",
      "bluff nz\n",
      "taolanaro mg\n",
      "barentsburg sj\n",
      "scottsbluff us\n",
      "hermanus za\n",
      "hilo us\n",
      "esperance au\n",
      "marcona pe\n",
      "tabas ir\n",
      "kruisfontein za\n",
      "buon me thuot vn\n",
      "nara ml\n",
      "cockburn town tc\n",
      "kautokeino no\n",
      "bluff nz\n",
      "cape town za\n",
      "saint george bm\n",
      "umm durman sd\n",
      "vaini to\n",
      "bluff nz\n",
      "asau tv\n",
      "kunya ru\n",
      "sarkand kz\n",
      "port alfred za\n",
      "grand gaube mu\n",
      "souillac mu\n",
      "thabazimbi za\n",
      "yellowknife ca\n",
      "invermere ca\n",
      "esperance au\n",
      "castro cl\n",
      "dharchula in\n",
      "saint george bm\n",
      "hilo us\n",
      "puerto ayacucho ve\n",
      "lompoc us\n",
      "kapaa us\n",
      "damghan ir\n",
      "bluff nz\n",
      "mys shmidta ru\n",
      "tasiilaq gl\n",
      "coihaique cl\n",
      "labuhan id\n",
      "sain alto mx\n",
      "ippy cf\n",
      "ahome mx\n",
      "punta arenas cl\n",
      "tuktoyaktuk ca\n",
      "moose factory ca\n",
      "vaitupu wf\n",
      "kangundo ke\n",
      "vaitupu wf\n",
      "columbia us\n",
      "souillac mu\n",
      "rocha uy\n",
      "kang bw\n",
      "rikitea pf\n",
      "mongo td\n",
      "zhuhai cn\n",
      "nanortalik gl\n",
      "taolanaro mg\n",
      "atuona pf\n",
      "khatanga ru\n",
      "touros br\n",
      "nikolskoye ru\n",
      "port macquarie au\n",
      "charters towers au\n",
      "bavly ru\n",
      "rawson ar\n",
      "ishigaki jp\n",
      "mataura pf\n",
      "hermanus za\n",
      "meulaboh id\n",
      "gravdal no\n",
      "punta arenas cl\n",
      "ampanihy mg\n",
      "iqaluit ca\n",
      "barentsburg sj\n",
      "thompson ca\n",
      "ucluelet ca\n",
      "port elizabeth za\n",
      "sibolga id\n",
      "hermanus za\n",
      "nizhneyansk ru\n",
      "longyearbyen sj\n",
      "luderitz na\n",
      "saint-pierre pm\n",
      "vestmanna fo\n",
      "grand gaube mu\n",
      "yellowknife ca\n",
      "castro cl\n",
      "new norfolk au\n",
      "guerrero negro mx\n",
      "punta arenas cl\n",
      "nikolskoye ru\n",
      "torbay ca\n",
      "belushya guba ru\n",
      "todos santos mx\n",
      "avarua ck\n",
      "upernavik gl\n",
      "hermanus za\n",
      "vaini to\n",
      "baykit ru\n",
      "avera pf\n",
      "sabang id\n",
      "corinto ni\n",
      "salalah om\n",
      "tianpeng cn\n",
      "teya ru\n",
      "colac au\n",
      "general roca ar\n",
      "kavieng pg\n",
      "pangnirtung ca\n",
      "leshan cn\n",
      "dubenskiy ru\n",
      "atuona pf\n",
      "mitchell us\n",
      "koundara gn\n",
      "bluff nz\n",
      "lebu cl\n",
      "kachiry kz\n",
      "mataura pf\n",
      "pisco pe\n",
      "arraial do cabo br\n",
      "vologda ru\n",
      "sao jose de ribamar br\n",
      "punta arenas cl\n",
      "tsihombe mg\n",
      "ushuaia ar\n",
      "kalmunai lk\n",
      "barentsburg sj\n",
      "jamestown sh\n",
      "jamestown sh\n",
      "oltu tr\n",
      "rikitea pf\n",
      "dikson ru\n",
      "palmer us\n",
      "taolanaro mg\n",
      "berekum gh\n",
      "mareeba au\n",
      "norman wells ca\n",
      "mys shmidta ru\n",
      "vila vu\n",
      "victoria sc\n",
      "mecca sa\n",
      "hilo us\n",
      "bredasdorp za\n",
      "hilo us\n",
      "emerald au\n",
      "port alfred za\n",
      "haines junction ca\n",
      "yellowknife ca\n",
      "baripada in\n",
      "oni ge\n",
      "cape town za\n",
      "rikitea pf\n",
      "ushuaia ar\n",
      "barentsburg sj\n",
      "vaini to\n",
      "balboa co\n",
      "maldonado uy\n",
      "jiwani pk\n",
      "mandan us\n",
      "port-gentil ga\n",
      "oistins bb\n",
      "attawapiskat ca\n",
      "marzuq ly\n",
      "rikitea pf\n",
      "warqla dz\n",
      "kilimatinde tz\n",
      "katsuura jp\n",
      "castro cl\n",
      "chokurdakh ru\n",
      "yellowknife ca\n",
      "staryy nadym ru\n",
      "dolores ar\n",
      "candelaria es\n",
      "illoqqortoormiut gl\n",
      "bathsheba bb\n",
      "mataura pf\n",
      "mar del plata ar\n",
      "esperance au\n",
      "harboore dk\n",
      "zalukokoazhe ru\n",
      "parintins br\n",
      "taolanaro mg\n",
      "bluff nz\n",
      "bluff nz\n",
      "hobart au\n",
      "albany au\n",
      "butaritari ki\n",
      "macapa br\n",
      "tuktoyaktuk ca\n",
      "ushuaia ar\n",
      "baykit ru\n",
      "ushuaia ar\n",
      "sovetskaya ru\n",
      "atuona pf\n",
      "punta arenas cl\n",
      "bethel us\n",
      "cherskiy ru\n",
      "victoria sc\n",
      "rikitea pf\n",
      "hirara jp\n",
      "albany au\n",
      "ouango cf\n",
      "busselton au\n",
      "punta arenas cl\n",
      "barreiros br\n",
      "urumqi cn\n",
      "puerto ayora ec\n",
      "beringovskiy ru\n",
      "port alfred za\n",
      "saint george bm\n",
      "ushuaia ar\n",
      "goderich sl\n",
      "college us\n",
      "albany au\n",
      "dekar bw\n",
      "arraial do cabo br\n",
      "muros es\n",
      "busselton au\n",
      "castro cl\n",
      "trelew ar\n",
      "pirovskoye ru\n",
      "hobart au\n",
      "jamestown sh\n",
      "rikitea pf\n",
      "mar del plata ar\n",
      "barrow us\n",
      "gimli ca\n",
      "bambous virieux mu\n",
      "kaitangata nz\n",
      "castro cl\n",
      "iqaluit ca\n",
      "ancud cl\n",
      "castro cl\n",
      "hilo us\n",
      "provideniya ru\n",
      "kavieng pg\n",
      "cherskiy ru\n",
      "gore et\n",
      "melilla es\n",
      "codrington ag\n",
      "bengkulu id\n",
      "rabo de peixe pt\n",
      "fuerte ph\n",
      "chuy uy\n",
      "piacabucu br\n",
      "punta arenas cl\n",
      "punta arenas cl\n",
      "ribeira grande pt\n",
      "hermanus za\n",
      "hobart au\n",
      "jamestown sh\n",
      "avrille fr\n",
      "rungata ki\n",
      "saint-denis re\n",
      "kundiawa pg\n",
      "cabo san lucas mx\n",
      "saleaula ws\n",
      "dudinka ru\n",
      "castro cl\n",
      "kabinda cd\n",
      "buala sb\n",
      "bluff nz\n",
      "amapa br\n",
      "beruwala lk\n",
      "albany au\n",
      "constitucion mx\n",
      "bethel us\n",
      "paamiut gl\n",
      "kavaratti in\n",
      "belushya guba ru\n",
      "hermanus za\n",
      "amderma ru\n",
      "ushuaia ar\n",
      "mount isa au\n",
      "iqaluit ca\n",
      "tiksi ru\n",
      "east london za\n",
      "touros br\n",
      "iqaluit ca\n",
      "cabo san lucas mx\n",
      "ushuaia ar\n",
      "saint-philippe re\n",
      "gamba ga\n",
      "biak id\n",
      "coaraci br\n",
      "karpogory ru\n",
      "ushuaia ar\n",
      "coahuayana mx\n",
      "amuntai id\n",
      "rikitea pf\n",
      "portland au\n",
      "saint-philippe re\n",
      "barentsburg sj\n",
      "severo-kurilsk ru\n",
      "san quintin mx\n",
      "new norfolk au\n",
      "hermanus za\n",
      "rikitea pf\n",
      "longyearbyen sj\n",
      "marcona pe\n",
      "clyde river ca\n",
      "taolanaro mg\n",
      "acapulco mx\n",
      "ushuaia ar\n",
      "buin pg\n",
      "atuona pf\n",
      "illoqqortoormiut gl\n",
      "punta arenas cl\n",
      "leningradskiy ru\n",
      "saint-philippe re\n",
      "ystad se\n",
      "rikitea pf\n",
      "klaksvik fo\n",
      "norman wells ca\n",
      "kapaa us\n",
      "zhigansk ru\n",
      "cape town za\n",
      "nova prata br\n",
      "avera pf\n",
      "jamestown sh\n",
      "amderma ru\n",
      "bonavista ca\n",
      "dali cn\n",
      "vaini to\n",
      "esmeraldas ec\n",
      "port alfred za\n",
      "rikitea pf\n",
      "shakhtinsk kz\n",
      "chanute us\n",
      "tuatapere nz\n",
      "batesville us\n",
      "srednekolymsk ru\n",
      "waihi beach nz\n",
      "san marco in lamis it\n",
      "tiksi ru\n",
      "rungata ki\n",
      "itaituba br\n",
      "coquimbo cl\n",
      "hithadhoo mv\n",
      "codrington ag\n",
      "pousat kh\n",
      "jamestown sh\n",
      "new norfolk au\n",
      "bluff nz\n",
      "busselton au\n",
      "cape town za\n",
      "belushya guba ru\n",
      "port alfred za\n",
      "purranque cl\n",
      "weligama lk\n",
      "college us\n",
      "vaitupu wf\n",
      "odweyne so\n",
      "ushuaia ar\n",
      "tuktoyaktuk ca\n",
      "cayenne gf\n",
      "saskylakh ru\n",
      "tasiilaq gl\n",
      "boden se\n",
      "shaping cn\n",
      "saldanha za\n",
      "dikson ru\n",
      "bredasdorp za\n",
      "karpogory ru\n",
      "punta arenas cl\n",
      "taolanaro mg\n",
      "port alfred za\n",
      "bargal so\n",
      "puerto ayora ec\n",
      "gazanjyk tm\n",
      "jerantut my\n",
      "bolungarvik is\n",
      "karratha au\n",
      "jamestown sh\n",
      "avarua ck\n",
      "saskylakh ru\n",
      "makaha us\n",
      "khatra in\n",
      "bredasdorp za\n",
      "jalu ly\n",
      "felipe carrillo puerto mx\n",
      "sechura pe\n",
      "sorong id\n",
      "vaitupu wf\n",
      "hobart au\n",
      "fairbanks us\n",
      "cabo san lucas mx\n",
      "punta arenas cl\n",
      "yulara au\n",
      "chokurdakh ru\n",
      "nikolskoye ru\n",
      "bethel us\n",
      "ushuaia ar\n",
      "haines junction ca\n",
      "eureka us\n",
      "yellowknife ca\n",
      "port elizabeth za\n",
      "narsaq gl\n",
      "san cristobal ec\n",
      "tessalit ml\n",
      "hermanus za\n",
      "butaritari ki\n",
      "camana pe\n",
      "lorengau pg\n",
      "hermanus za\n",
      "tiksi ru\n",
      "palabuhanratu id\n",
      "acarau br\n",
      "kapaa us\n",
      "busselton au\n",
      "mar del plata ar\n",
      "new norfolk au\n",
      "mataura pf\n",
      "tupik ru\n",
      "wanning cn\n",
      "mahebourg mu\n",
      "hambantota lk\n",
      "ushuaia ar\n",
      "ushuaia ar\n",
      "artyk ru\n",
      "nizhneyansk ru\n",
      "ushuaia ar\n",
      "yumen cn\n",
      "mataura pf\n",
      "salalah om\n",
      "bredasdorp za\n",
      "castro cl\n",
      "wufeng cn\n",
      "khandyga ru\n",
      "barentsburg sj\n",
      "atuona pf\n",
      "qeshm ir\n",
      "zhanakorgan kz\n",
      "albany au\n",
      "loandjili cg\n",
      "vaitupu wf\n",
      "punta arenas cl\n",
      "cherskiy ru\n",
      "ushuaia ar\n",
      "chokurdakh ru\n",
      "hermanus za\n",
      "ushuaia ar\n",
      "dengzhou cn\n",
      "portland au\n",
      "saskylakh ru\n",
      "haines junction ca\n",
      "talnakh ru\n",
      "amuntai id\n",
      "rondonopolis br\n",
      "bentiu sd\n",
      "yumen cn\n",
      "lumberton us\n",
      "bethel us\n",
      "qaanaaq gl\n",
      "ayan ru\n",
      "mon in\n",
      "chulman ru\n",
      "chinique gt\n",
      "ushuaia ar\n",
      "petropavlovsk-kamchatskiy ru\n",
      "pringsewu id\n",
      "norman wells ca\n",
      "iqaluit ca\n",
      "kapaa us\n",
      "atuona pf\n",
      "rikitea pf\n",
      "port elizabeth za\n",
      "rikitea pf\n",
      "goderich sl\n",
      "port elizabeth za\n",
      "vestmannaeyjar is\n",
      "georgetown sh\n",
      "dikson ru\n",
      "charlestown kn\n",
      "ostrovnoy ru\n",
      "albany au\n",
      "ganzhou cn\n",
      "kapaa us\n",
      "illoqqortoormiut gl\n",
      "zhangjiakou cn\n",
      "castro cl\n",
      "albany au\n",
      "torbay ca\n",
      "odweyne so\n",
      "longyearbyen sj\n",
      "avarua ck\n",
      "vaini to\n",
      "illoqqortoormiut gl\n",
      "atuona pf\n",
      "east london za\n",
      "kodiak us\n",
      "mims us\n",
      "atuona pf\n",
      "huescar es\n",
      "santiago ph\n",
      "port alfred za\n",
      "khatanga ru\n",
      "savannah bight hn\n",
      "keflavik is\n",
      "carnarvon au\n",
      "port macquarie au\n",
      "ahipara nz\n",
      "kapaa us\n",
      "salalah om\n",
      "grand river south east mu\n",
      "lebu cl\n",
      "klaksvik fo\n",
      "vaini to\n",
      "nhulunbuy au\n",
      "cap malheureux mu\n",
      "jardim br\n",
      "praia da vitoria pt\n",
      "bredasdorp za\n",
      "burica pa\n",
      "yekaterinovka ru\n",
      "carnarvon au\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bathsheba bb\n",
      "nouadhibou mr\n",
      "champerico gt\n",
      "mogadishu so\n",
      "chapais ca\n",
      "awjilah ly\n",
      "east london za\n",
      "mataura pf\n",
      "rikitea pf\n",
      "bowen au\n",
      "praxedis guerrero mx\n",
      "afyonkarahisar tr\n",
      "qaanaaq gl\n",
      "punta arenas cl\n",
      "kaitangata nz\n",
      "puerto ayora ec\n",
      "marsa matruh eg\n",
      "alta floresta br\n",
      "avarua ck\n",
      "avarua ck\n",
      "castro cl\n",
      "barrow us\n",
      "taolanaro mg\n",
      "boueni yt\n",
      "kintampo gh\n",
      "port moresby pg\n",
      "tabiauea ki\n",
      "dicabisagan ph\n",
      "belushya guba ru\n",
      "sorong id\n",
      "ushuaia ar\n",
      "tasiilaq gl\n",
      "talara pe\n",
      "nelson bay au\n",
      "taolanaro mg\n",
      "romny ru\n",
      "karangampel id\n",
      "champerico gt\n",
      "aflu dz\n",
      "taolanaro mg\n",
      "bluff nz\n",
      "gat ly\n",
      "rikitea pf\n",
      "virbalis lt\n",
      "potsdam us\n",
      "guiratinga br\n",
      "lebu cl\n",
      "atuona pf\n",
      "busselton au\n",
      "lavrentiya ru\n",
      "mar del plata ar\n",
      "mercedes ar\n",
      "srednekolymsk ru\n",
      "albany au\n",
      "jamestown sh\n",
      "albany au\n",
      "bima id\n",
      "chifeng cn\n",
      "ponta do sol pt\n",
      "truro ca\n",
      "dali cn\n",
      "ostrovnoy ru\n",
      "castro cl\n",
      "yellowknife ca\n",
      "qaanaaq gl\n",
      "puerto ayora ec\n",
      "hithadhoo mv\n",
      "mataura pf\n",
      "barentsburg sj\n",
      "ribeira grande pt\n",
      "samusu ws\n",
      "fare pf\n",
      "nieuw amsterdam sr\n",
      "punta arenas cl\n",
      "carnarvon au\n",
      "busselton au\n",
      "benguela ao\n",
      "kobayashi jp\n",
      "padang id\n",
      "airai pw\n",
      "chuy uy\n",
      "neiafu to\n",
      "crib point au\n",
      "barrow us\n",
      "punta arenas cl\n",
      "toropets ru\n",
      "katobu id\n",
      "busselton au\n",
      "hasaki jp\n",
      "ribeira grande pt\n",
      "bredasdorp za\n",
      "qaanaaq gl\n",
      "vaini to\n",
      "lavrentiya ru\n",
      "bredasdorp za\n",
      "nanortalik gl\n",
      "half moon bay us\n",
      "hermanus za\n",
      "plettenberg bay za\n",
      "avarua ck\n",
      "ushuaia ar\n",
      "shuiji cn\n",
      "norman wells ca\n",
      "sao jose da coroa grande br\n",
      "kodiak us\n",
      "nikolskoye ru\n",
      "souillac mu\n",
      "coahuayana mx\n",
      "lotung tw\n",
      "lebu cl\n",
      "port alfred za\n",
      "dunaszentgyorgy hu\n",
      "grand river south east mu\n",
      "puerto ayora ec\n",
      "hobart au\n",
      "anloga gh\n",
      "haywards heath gb\n",
      "kyzyl-suu kg\n",
      "qaanaaq gl\n",
      "salalah om\n",
      "chagda ru\n",
      "aflu dz\n",
      "invermere ca\n",
      "janakkala fi\n",
      "berlevag no\n",
      "calabozo ve\n",
      "rikitea pf\n",
      "mantua cu\n",
      "kalmunai lk\n",
      "puerto ayora ec\n",
      "yellowknife ca\n",
      "bluff nz\n",
      "sauda no\n",
      "neuquen ar\n",
      "cape town za\n"
     ]
    }
   ],
   "source": [
    "for coordinate in coordinates:\n",
    "    print(citipy.nearest_city(coordinate[0], coordinate[1]).city_name,\n",
    "          citipy.nearest_city(coordinate[0], coordinate[1]).country_code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2351140c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Beginning Data Retrieval     \n",
      "-----------------------------\n"
     ]
    }
   ],
   "source": [
    "# Create an empty list to hold the weather data.\n",
    "city_data = []\n",
    "# Print the beginning of the logging.\n",
    "print(\"Beginning Data Retrieval     \")\n",
    "print(\"-----------------------------\")\n",
    "\n",
    "# Create counters.\n",
    "record_count = 1\n",
    "set_count = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c2b19c16",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing Record 1 of Set 13 | hami\n",
      "Processing Record 2 of Set 13 | waitati\n",
      "Processing Record 3 of Set 13 | ushuaia\n",
      "Processing Record 4 of Set 13 | komsomolskiy\n",
      "Processing Record 5 of Set 13 | georgetown\n",
      "Processing Record 6 of Set 13 | qaanaaq\n",
      "Processing Record 7 of Set 13 | mataura\n",
      "Processing Record 8 of Set 13 | rikitea\n",
      "Processing Record 9 of Set 13 | fukue\n",
      "Processing Record 10 of Set 13 | hithadhoo\n",
      "Processing Record 11 of Set 13 | port alfred\n",
      "Processing Record 12 of Set 13 | lagoa\n",
      "Processing Record 13 of Set 13 | jamestown\n",
      "Processing Record 14 of Set 13 | albany\n",
      "Processing Record 15 of Set 13 | ayan\n",
      "Processing Record 16 of Set 13 | mar del plata\n",
      "Processing Record 17 of Set 13 | arman\n",
      "Processing Record 18 of Set 13 | nikolskoye\n",
      "Processing Record 19 of Set 13 | barentsburg\n",
      "City not found. Skipping...\n",
      "Processing Record 20 of Set 13 | katsuura\n",
      "Processing Record 21 of Set 13 | nome\n",
      "Processing Record 22 of Set 13 | chandbali\n",
      "Processing Record 23 of Set 13 | lewiston\n",
      "Processing Record 24 of Set 13 | berlevag\n",
      "Processing Record 25 of Set 13 | dikson\n",
      "Processing Record 26 of Set 13 | lebu\n",
      "City not found. Skipping...\n",
      "Processing Record 27 of Set 13 | norwich\n",
      "Processing Record 28 of Set 13 | tabou\n",
      "Processing Record 29 of Set 13 | monroe\n",
      "Processing Record 30 of Set 13 | mooresville\n",
      "Processing Record 31 of Set 13 | makakilo city\n",
      "Processing Record 32 of Set 13 | alzamay\n",
      "Processing Record 33 of Set 13 | sande\n",
      "Processing Record 34 of Set 13 | palabuhanratu\n",
      "City not found. Skipping...\n",
      "Processing Record 35 of Set 13 | chuy\n",
      "Processing Record 36 of Set 13 | vila velha\n",
      "Processing Record 37 of Set 13 | victoria\n",
      "Processing Record 38 of Set 13 | monrovia\n",
      "Processing Record 39 of Set 13 | kaitangata\n",
      "Processing Record 40 of Set 13 | necochea\n",
      "Processing Record 41 of Set 13 | tanout\n",
      "Processing Record 42 of Set 13 | butaritari\n",
      "Processing Record 43 of Set 13 | anar darreh\n",
      "City not found. Skipping...\n",
      "Processing Record 44 of Set 13 | avarua\n",
      "Processing Record 45 of Set 13 | taolanaro\n",
      "City not found. Skipping...\n",
      "Processing Record 46 of Set 13 | saint george\n",
      "Processing Record 47 of Set 13 | illoqqortoormiut\n",
      "City not found. Skipping...\n",
      "Processing Record 48 of Set 13 | rawson\n",
      "Processing Record 49 of Set 13 | port blair\n",
      "Processing Record 50 of Set 13 | yellowknife\n",
      "Processing Record 1 of Set 14 | luganville\n",
      "Processing Record 2 of Set 14 | upernavik\n",
      "Processing Record 3 of Set 14 | santa marta\n",
      "Processing Record 4 of Set 14 | fairbanks\n",
      "Processing Record 5 of Set 14 | bilibino\n",
      "Processing Record 6 of Set 14 | yerbogachen\n",
      "Processing Record 7 of Set 14 | atuona\n",
      "Processing Record 8 of Set 14 | farafangana\n",
      "Processing Record 9 of Set 14 | barrow\n",
      "Processing Record 10 of Set 14 | cabo san lucas\n",
      "Processing Record 11 of Set 14 | hermanus\n",
      "Processing Record 12 of Set 14 | marcona\n",
      "City not found. Skipping...\n",
      "Processing Record 13 of Set 14 | eureka\n",
      "Processing Record 14 of Set 14 | busselton\n",
      "Processing Record 15 of Set 14 | ilulissat\n",
      "Processing Record 16 of Set 14 | la romana\n",
      "Processing Record 17 of Set 14 | roma\n",
      "Processing Record 18 of Set 14 | hobart\n",
      "Processing Record 19 of Set 14 | kapaa\n",
      "Processing Record 20 of Set 14 | bluff\n",
      "Processing Record 21 of Set 14 | khanpur\n",
      "Processing Record 22 of Set 14 | tsihombe\n",
      "City not found. Skipping...\n",
      "Processing Record 23 of Set 14 | punta arenas\n",
      "Processing Record 24 of Set 14 | auki\n",
      "Processing Record 25 of Set 14 | meadow lake\n",
      "Processing Record 26 of Set 14 | quatre cocos\n",
      "Processing Record 27 of Set 14 | vaini\n",
      "Processing Record 28 of Set 14 | lazaro cardenas\n",
      "Processing Record 29 of Set 14 | barinas\n",
      "Processing Record 30 of Set 14 | cape town\n",
      "Processing Record 31 of Set 14 | severo-kurilsk\n",
      "Processing Record 32 of Set 14 | zhangjiakou\n",
      "Processing Record 33 of Set 14 | kahului\n",
      "Processing Record 34 of Set 14 | bethel\n",
      "Processing Record 35 of Set 14 | khurja\n",
      "Processing Record 36 of Set 14 | tautira\n",
      "Processing Record 37 of Set 14 | torres\n",
      "Processing Record 38 of Set 14 | sinnamary\n",
      "Processing Record 39 of Set 14 | tahoua\n",
      "Processing Record 40 of Set 14 | boyuibe\n",
      "City not found. Skipping...\n",
      "Processing Record 41 of Set 14 | bambanglipuro\n",
      "Processing Record 42 of Set 14 | tonantins\n",
      "Processing Record 43 of Set 14 | tuatapere\n",
      "Processing Record 44 of Set 14 | kloulklubed\n",
      "Processing Record 45 of Set 14 | krasnoselkup\n",
      "Processing Record 46 of Set 14 | cairns\n",
      "Processing Record 47 of Set 14 | tabiauea\n",
      "City not found. Skipping...\n",
      "Processing Record 48 of Set 14 | maceio\n",
      "Processing Record 49 of Set 14 | amga\n",
      "Processing Record 50 of Set 14 | rio grande\n",
      "Processing Record 1 of Set 15 | kodiak\n",
      "Processing Record 2 of Set 15 | alofi\n",
      "Processing Record 3 of Set 15 | bredasdorp\n",
      "Processing Record 4 of Set 15 | sayan\n",
      "Processing Record 5 of Set 15 | praia da vitoria\n",
      "Processing Record 6 of Set 15 | norman wells\n",
      "Processing Record 7 of Set 15 | mayor pablo lagerenza\n",
      "Processing Record 8 of Set 15 | hamilton\n",
      "Processing Record 9 of Set 15 | kongolo\n",
      "Processing Record 10 of Set 15 | faya\n",
      "Processing Record 11 of Set 15 | klaeng\n",
      "Processing Record 12 of Set 15 | buala\n",
      "Processing Record 13 of Set 15 | hilo\n",
      "Processing Record 14 of Set 15 | nador\n",
      "Processing Record 15 of Set 15 | mamallapuram\n",
      "Processing Record 16 of Set 15 | sayyan\n",
      "Processing Record 17 of Set 15 | dunedin\n",
      "Processing Record 18 of Set 15 | damietta\n",
      "Processing Record 19 of Set 15 | shelburne\n",
      "Processing Record 20 of Set 15 | nguiu\n",
      "City not found. Skipping...\n",
      "Processing Record 21 of Set 15 | airai\n",
      "Processing Record 22 of Set 15 | kabalo\n",
      "Processing Record 23 of Set 15 | souillac\n",
      "Processing Record 24 of Set 15 | san pedro de cajas\n",
      "Processing Record 25 of Set 15 | samalaeulu\n",
      "City not found. Skipping...\n",
      "Processing Record 26 of Set 15 | cockburn town\n",
      "Processing Record 27 of Set 15 | poum\n",
      "Processing Record 28 of Set 15 | klaksvik\n",
      "Processing Record 29 of Set 15 | gemena\n",
      "Processing Record 30 of Set 15 | mandalgovi\n",
      "Processing Record 31 of Set 15 | geraldton\n",
      "Processing Record 32 of Set 15 | krasnyy yar\n",
      "Processing Record 33 of Set 15 | thaba-tseka\n",
      "Processing Record 34 of Set 15 | faanui\n",
      "Processing Record 35 of Set 15 | coquimbo\n",
      "Processing Record 36 of Set 15 | pangnirtung\n",
      "Processing Record 37 of Set 15 | makaleng\n",
      "Processing Record 38 of Set 15 | kamenskoye\n",
      "City not found. Skipping...\n",
      "Processing Record 39 of Set 15 | harlingen\n",
      "Processing Record 40 of Set 15 | sentyabrskiy\n",
      "City not found. Skipping...\n",
      "Processing Record 41 of Set 15 | talnakh\n",
      "Processing Record 42 of Set 15 | attawapiskat\n",
      "City not found. Skipping...\n",
      "Processing Record 43 of Set 15 | tevriz\n",
      "Processing Record 44 of Set 15 | bambous virieux\n",
      "Processing Record 45 of Set 15 | kruisfontein\n",
      "Processing Record 46 of Set 15 | tiksi\n",
      "Processing Record 47 of Set 15 | vestbygda\n",
      "City not found. Skipping...\n",
      "Processing Record 48 of Set 15 | ribeira grande\n",
      "Processing Record 49 of Set 15 | samusu\n",
      "City not found. Skipping...\n",
      "Processing Record 50 of Set 15 | novopetrovskoye\n",
      "Processing Record 1 of Set 16 | honiara\n",
      "Processing Record 2 of Set 16 | hovd\n",
      "Processing Record 3 of Set 16 | rocha\n",
      "Processing Record 4 of Set 16 | padang\n",
      "Processing Record 5 of Set 16 | kenai\n",
      "Processing Record 6 of Set 16 | pokhara\n",
      "Processing Record 7 of Set 16 | ossora\n",
      "Processing Record 8 of Set 16 | arraial do cabo\n",
      "Processing Record 9 of Set 16 | pangody\n",
      "Processing Record 10 of Set 16 | castro\n",
      "Processing Record 11 of Set 16 | puerto ayora\n",
      "Processing Record 12 of Set 16 | cabot\n",
      "Processing Record 13 of Set 16 | saint-philippe\n",
      "Processing Record 14 of Set 16 | nantucket\n",
      "Processing Record 15 of Set 16 | katherine\n",
      "Processing Record 16 of Set 16 | noyabrsk\n",
      "Processing Record 17 of Set 16 | portland\n",
      "Processing Record 18 of Set 16 | tecoanapa\n",
      "Processing Record 19 of Set 16 | ciudad bolivar\n",
      "Processing Record 20 of Set 16 | ancud\n",
      "Processing Record 21 of Set 16 | fortuna\n",
      "Processing Record 22 of Set 16 | san juan del sur\n",
      "Processing Record 23 of Set 16 | subaan\n",
      "Processing Record 24 of Set 16 | belushya guba\n",
      "City not found. Skipping...\n",
      "Processing Record 25 of Set 16 | port elizabeth\n",
      "Processing Record 26 of Set 16 | honningsvag\n",
      "Processing Record 27 of Set 16 | ambilobe\n",
      "Processing Record 28 of Set 16 | fort nelson\n",
      "Processing Record 29 of Set 16 | amboasary\n",
      "Processing Record 30 of Set 16 | cherskiy\n",
      "Processing Record 31 of Set 16 | adrar\n",
      "Processing Record 32 of Set 16 | mount isa\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing Record 33 of Set 16 | cody\n",
      "Processing Record 34 of Set 16 | chokurdakh\n",
      "Processing Record 35 of Set 16 | saint-francois\n",
      "Processing Record 36 of Set 16 | rafai\n",
      "Processing Record 37 of Set 16 | bakel\n",
      "Processing Record 38 of Set 16 | hasaki\n",
      "Processing Record 39 of Set 16 | manta\n",
      "Processing Record 40 of Set 16 | sao jose da coroa grande\n",
      "Processing Record 41 of Set 16 | saskylakh\n",
      "Processing Record 42 of Set 16 | madimba\n",
      "Processing Record 43 of Set 16 | biak\n",
      "Processing Record 44 of Set 16 | tumannyy\n",
      "City not found. Skipping...\n",
      "Processing Record 45 of Set 16 | betioky\n",
      "Processing Record 46 of Set 16 | negara\n",
      "Processing Record 47 of Set 16 | trairi\n",
      "Processing Record 48 of Set 16 | kayattar\n",
      "Processing Record 49 of Set 16 | ben tre\n",
      "Processing Record 50 of Set 16 | pacific grove\n",
      "Processing Record 1 of Set 17 | seoul\n",
      "Processing Record 2 of Set 17 | nizhneyansk\n",
      "City not found. Skipping...\n",
      "Processing Record 3 of Set 17 | mehamn\n",
      "Processing Record 4 of Set 17 | ponta do sol\n",
      "Processing Record 5 of Set 17 | liverpool\n",
      "Processing Record 6 of Set 17 | ahipara\n",
      "Processing Record 7 of Set 17 | emerald\n",
      "Processing Record 8 of Set 17 | todos santos\n",
      "Processing Record 9 of Set 17 | lumsden\n",
      "Processing Record 10 of Set 17 | college\n",
      "Processing Record 11 of Set 17 | port lincoln\n",
      "Processing Record 12 of Set 17 | esperance\n",
      "Processing Record 13 of Set 17 | marienburg\n",
      "Processing Record 14 of Set 17 | burgeo\n",
      "Processing Record 15 of Set 17 | marshall\n",
      "Processing Record 16 of Set 17 | am timan\n",
      "Processing Record 17 of Set 17 | acajutla\n",
      "Processing Record 18 of Set 17 | eastbourne\n",
      "Processing Record 19 of Set 17 | east london\n",
      "Processing Record 20 of Set 17 | thompson\n",
      "Processing Record 21 of Set 17 | cidreira\n",
      "Processing Record 22 of Set 17 | chagda\n",
      "City not found. Skipping...\n",
      "Processing Record 23 of Set 17 | sharkan\n",
      "Processing Record 24 of Set 17 | verkhoyansk\n",
      "Processing Record 25 of Set 17 | seidu\n",
      "Processing Record 26 of Set 17 | igrim\n",
      "Processing Record 27 of Set 17 | salinopolis\n",
      "Processing Record 28 of Set 17 | iqaluit\n",
      "Processing Record 29 of Set 17 | mackenzie\n",
      "Processing Record 30 of Set 17 | ponta delgada\n",
      "Processing Record 31 of Set 17 | hemsedal\n",
      "Processing Record 32 of Set 17 | dakar\n",
      "Processing Record 33 of Set 17 | tasiilaq\n",
      "Processing Record 34 of Set 17 | karaton\n",
      "Processing Record 35 of Set 17 | lompoc\n",
      "Processing Record 36 of Set 17 | ustyuzhna\n",
      "Processing Record 37 of Set 17 | new norfolk\n",
      "Processing Record 38 of Set 17 | verkhoturye\n",
      "Processing Record 39 of Set 17 | caorle\n",
      "Processing Record 40 of Set 17 | ajdabiya\n",
      "Processing Record 41 of Set 17 | carnarvon\n",
      "Processing Record 42 of Set 17 | evans\n",
      "Processing Record 43 of Set 17 | tuktoyaktuk\n",
      "Processing Record 44 of Set 17 | daxian\n",
      "City not found. Skipping...\n",
      "Processing Record 45 of Set 17 | perth\n",
      "Processing Record 46 of Set 17 | marzuq\n",
      "Processing Record 47 of Set 17 | ucluelet\n",
      "Processing Record 48 of Set 17 | leningradskiy\n",
      "Processing Record 49 of Set 17 | grand river south east\n",
      "City not found. Skipping...\n",
      "Processing Record 50 of Set 17 | tasbuget\n",
      "City not found. Skipping...\n",
      "Processing Record 1 of Set 18 | zlobin\n",
      "Processing Record 2 of Set 18 | ust-kamchatsk\n",
      "City not found. Skipping...\n",
      "Processing Record 3 of Set 18 | helong\n",
      "Processing Record 4 of Set 18 | san joaquin\n",
      "Processing Record 5 of Set 18 | aanekoski\n",
      "Processing Record 6 of Set 18 | lakatoro\n",
      "Processing Record 7 of Set 18 | peruibe\n",
      "Processing Record 8 of Set 18 | liberty\n",
      "Processing Record 9 of Set 18 | roseburg\n",
      "Processing Record 10 of Set 18 | tucumcari\n",
      "Processing Record 11 of Set 18 | morros\n",
      "Processing Record 12 of Set 18 | valparaiso\n",
      "Processing Record 13 of Set 18 | khatanga\n",
      "Processing Record 14 of Set 18 | asyut\n",
      "Processing Record 15 of Set 18 | tocopilla\n",
      "Processing Record 16 of Set 18 | brisbane\n",
      "Processing Record 17 of Set 18 | margate\n",
      "Processing Record 18 of Set 18 | diego de almagro\n",
      "Processing Record 19 of Set 18 | hay river\n",
      "Processing Record 20 of Set 18 | waipawa\n",
      "Processing Record 21 of Set 18 | yambio\n",
      "Processing Record 22 of Set 18 | farrukhnagar\n",
      "Processing Record 23 of Set 18 | coahuayana\n",
      "Processing Record 24 of Set 18 | hambantota\n",
      "Processing Record 25 of Set 18 | bima\n",
      "Processing Record 26 of Set 18 | phan thiet\n",
      "Processing Record 27 of Set 18 | sarankhola\n",
      "Processing Record 28 of Set 18 | pringsewu\n",
      "Processing Record 29 of Set 18 | ozgon\n",
      "City not found. Skipping...\n",
      "Processing Record 30 of Set 18 | bengkulu\n",
      "Processing Record 31 of Set 18 | muravlenko\n",
      "Processing Record 32 of Set 18 | yar-sale\n",
      "Processing Record 33 of Set 18 | amudat\n",
      "Processing Record 34 of Set 18 | kavieng\n",
      "Processing Record 35 of Set 18 | bosaso\n",
      "Processing Record 36 of Set 18 | saleaula\n",
      "City not found. Skipping...\n",
      "Processing Record 37 of Set 18 | mizdah\n",
      "Processing Record 38 of Set 18 | verkhnyaya inta\n",
      "Processing Record 39 of Set 18 | akyab\n",
      "Processing Record 40 of Set 18 | hewitt\n",
      "Processing Record 41 of Set 18 | tezu\n",
      "Processing Record 42 of Set 18 | batemans bay\n",
      "Processing Record 43 of Set 18 | biu\n",
      "Processing Record 44 of Set 18 | shimoda\n",
      "Processing Record 45 of Set 18 | ostersund\n",
      "Processing Record 46 of Set 18 | lolua\n",
      "City not found. Skipping...\n",
      "Processing Record 47 of Set 18 | talara\n",
      "Processing Record 48 of Set 18 | linxia\n",
      "Processing Record 49 of Set 18 | sao filipe\n",
      "Processing Record 50 of Set 18 | kassala\n",
      "Processing Record 1 of Set 19 | maldonado\n",
      "Processing Record 2 of Set 19 | saldanha\n",
      "Processing Record 3 of Set 19 | novoagansk\n",
      "Processing Record 4 of Set 19 | vostok\n",
      "Processing Record 5 of Set 19 | amderma\n",
      "City not found. Skipping...\n",
      "Processing Record 6 of Set 19 | dingle\n",
      "Processing Record 7 of Set 19 | tahara\n",
      "Processing Record 8 of Set 19 | big spring\n",
      "Processing Record 9 of Set 19 | orotukan\n",
      "Processing Record 10 of Set 19 | tiarei\n",
      "Processing Record 11 of Set 19 | karaul\n",
      "City not found. Skipping...\n",
      "Processing Record 12 of Set 19 | lavrentiya\n",
      "Processing Record 13 of Set 19 | aripuana\n",
      "Processing Record 14 of Set 19 | goderich\n",
      "Processing Record 15 of Set 19 | luorong\n",
      "Processing Record 16 of Set 19 | codrington\n",
      "Processing Record 17 of Set 19 | mahebourg\n",
      "Processing Record 18 of Set 19 | half moon bay\n",
      "Processing Record 19 of Set 19 | caluquembe\n",
      "Processing Record 20 of Set 19 | karratha\n",
      "Processing Record 21 of Set 19 | kui buri\n",
      "Processing Record 22 of Set 19 | longyearbyen\n",
      "Processing Record 23 of Set 19 | beian\n",
      "Processing Record 24 of Set 19 | nisia floresta\n",
      "Processing Record 25 of Set 19 | saint-joseph\n",
      "Processing Record 26 of Set 19 | lorengau\n",
      "Processing Record 27 of Set 19 | ketchikan\n",
      "Processing Record 28 of Set 19 | foligno\n",
      "Processing Record 29 of Set 19 | ngukurr\n",
      "City not found. Skipping...\n",
      "Processing Record 30 of Set 19 | pevek\n",
      "Processing Record 31 of Set 19 | belaya gora\n",
      "Processing Record 32 of Set 19 | port hardy\n",
      "Processing Record 33 of Set 19 | vaitape\n",
      "Processing Record 34 of Set 19 | izmir\n",
      "Processing Record 35 of Set 19 | potgietersrus\n",
      "City not found. Skipping...\n",
      "Processing Record 36 of Set 19 | sioux lookout\n",
      "Processing Record 37 of Set 19 | isangel\n",
      "Processing Record 38 of Set 19 | nerchinskiy zavod\n",
      "Processing Record 39 of Set 19 | eltham\n",
      "Processing Record 40 of Set 19 | ejura\n",
      "Processing Record 41 of Set 19 | baruun-urt\n",
      "Processing Record 42 of Set 19 | saint anthony\n",
      "Processing Record 43 of Set 19 | gat\n",
      "Processing Record 44 of Set 19 | salalah\n",
      "Processing Record 45 of Set 19 | claveria\n",
      "Processing Record 46 of Set 19 | general roca\n",
      "Processing Record 47 of Set 19 | newton\n",
      "Processing Record 48 of Set 19 | wahpeton\n",
      "Processing Record 49 of Set 19 | narsaq\n",
      "Processing Record 50 of Set 19 | torbay\n",
      "Processing Record 1 of Set 20 | beboto\n",
      "Processing Record 2 of Set 20 | koutsouras\n",
      "Processing Record 3 of Set 20 | sivaki\n",
      "Processing Record 4 of Set 20 | lamu\n",
      "Processing Record 5 of Set 20 | clyde river\n",
      "Processing Record 6 of Set 20 | madang\n",
      "Processing Record 7 of Set 20 | avon park\n",
      "Processing Record 8 of Set 20 | mys shmidta\n",
      "City not found. Skipping...\n",
      "Processing Record 9 of Set 20 | aykhal\n",
      "Processing Record 10 of Set 20 | nizhniy baskunchak\n",
      "Processing Record 11 of Set 20 | siniscola\n",
      "Processing Record 12 of Set 20 | san patricio\n",
      "Processing Record 13 of Set 20 | kachikau\n",
      "City not found. Skipping...\n",
      "Processing Record 14 of Set 20 | brazzaville\n",
      "Processing Record 15 of Set 20 | dzhebariki-khaya\n",
      "Processing Record 16 of Set 20 | alta floresta\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing Record 17 of Set 20 | provideniya\n",
      "Processing Record 18 of Set 20 | louisbourg\n",
      "City not found. Skipping...\n",
      "Processing Record 19 of Set 20 | mogadishu\n",
      "Processing Record 20 of Set 20 | kyra\n",
      "Processing Record 21 of Set 20 | bongandanga\n",
      "Processing Record 22 of Set 20 | wasilla\n",
      "Processing Record 23 of Set 20 | nabire\n",
      "Processing Record 24 of Set 20 | amot\n",
      "Processing Record 25 of Set 20 | cabimas\n",
      "Processing Record 26 of Set 20 | viedma\n",
      "Processing Record 27 of Set 20 | aquiraz\n",
      "Processing Record 28 of Set 20 | luderitz\n",
      "Processing Record 29 of Set 20 | le pradet\n",
      "Processing Record 30 of Set 20 | marolambo\n",
      "Processing Record 31 of Set 20 | barranca\n",
      "Processing Record 32 of Set 20 | vaitupu\n",
      "City not found. Skipping...\n",
      "Processing Record 33 of Set 20 | agadez\n",
      "Processing Record 34 of Set 20 | babanusah\n",
      "City not found. Skipping...\n",
      "Processing Record 35 of Set 20 | shingu\n",
      "Processing Record 36 of Set 20 | banjar\n",
      "Processing Record 37 of Set 20 | bandarbeyla\n",
      "Processing Record 38 of Set 20 | chengannur\n",
      "Processing Record 39 of Set 20 | san cristobal\n",
      "Processing Record 40 of Set 20 | lukovetskiy\n",
      "Processing Record 41 of Set 20 | saint-georges\n",
      "Processing Record 42 of Set 20 | vuktyl\n",
      "Processing Record 43 of Set 20 | perigueux\n",
      "Processing Record 44 of Set 20 | erdaojiang\n",
      "Processing Record 45 of Set 20 | port said\n",
      "Processing Record 46 of Set 20 | guiglo\n",
      "Processing Record 47 of Set 20 | matveyev kurgan\n",
      "Processing Record 48 of Set 20 | wamba\n",
      "Processing Record 49 of Set 20 | havre-saint-pierre\n",
      "Processing Record 50 of Set 20 | deputatskiy\n",
      "Processing Record 1 of Set 21 | rajbiraj\n",
      "Processing Record 2 of Set 21 | scottsbluff\n",
      "Processing Record 3 of Set 21 | tabas\n",
      "Processing Record 4 of Set 21 | buon me thuot\n",
      "City not found. Skipping...\n",
      "Processing Record 5 of Set 21 | nara\n",
      "Processing Record 6 of Set 21 | kautokeino\n",
      "Processing Record 7 of Set 21 | umm durman\n",
      "City not found. Skipping...\n",
      "Processing Record 8 of Set 21 | asau\n",
      "Processing Record 9 of Set 21 | kunya\n",
      "Processing Record 10 of Set 21 | sarkand\n",
      "Processing Record 11 of Set 21 | grand gaube\n",
      "Processing Record 12 of Set 21 | thabazimbi\n",
      "Processing Record 13 of Set 21 | invermere\n",
      "Processing Record 14 of Set 21 | dharchula\n",
      "Processing Record 15 of Set 21 | puerto ayacucho\n",
      "Processing Record 16 of Set 21 | damghan\n",
      "Processing Record 17 of Set 21 | coihaique\n",
      "Processing Record 18 of Set 21 | labuhan\n",
      "Processing Record 19 of Set 21 | sain alto\n",
      "Processing Record 20 of Set 21 | ippy\n",
      "Processing Record 21 of Set 21 | ahome\n",
      "Processing Record 22 of Set 21 | moose factory\n",
      "Processing Record 23 of Set 21 | kangundo\n",
      "Processing Record 24 of Set 21 | columbia\n",
      "Processing Record 25 of Set 21 | kang\n",
      "Processing Record 26 of Set 21 | mongo\n",
      "Processing Record 27 of Set 21 | zhuhai\n",
      "Processing Record 28 of Set 21 | nanortalik\n",
      "Processing Record 29 of Set 21 | touros\n",
      "Processing Record 30 of Set 21 | port macquarie\n",
      "Processing Record 31 of Set 21 | charters towers\n",
      "Processing Record 32 of Set 21 | bavly\n",
      "Processing Record 33 of Set 21 | ishigaki\n",
      "Processing Record 34 of Set 21 | meulaboh\n",
      "Processing Record 35 of Set 21 | gravdal\n",
      "Processing Record 36 of Set 21 | ampanihy\n",
      "Processing Record 37 of Set 21 | sibolga\n",
      "Processing Record 38 of Set 21 | saint-pierre\n",
      "Processing Record 39 of Set 21 | vestmanna\n",
      "Processing Record 40 of Set 21 | guerrero negro\n",
      "Processing Record 41 of Set 21 | baykit\n",
      "Processing Record 42 of Set 21 | avera\n",
      "Processing Record 43 of Set 21 | sabang\n",
      "Processing Record 44 of Set 21 | corinto\n",
      "Processing Record 45 of Set 21 | tianpeng\n",
      "Processing Record 46 of Set 21 | teya\n",
      "Processing Record 47 of Set 21 | colac\n",
      "Processing Record 48 of Set 21 | leshan\n",
      "Processing Record 49 of Set 21 | dubenskiy\n",
      "City not found. Skipping...\n",
      "Processing Record 50 of Set 21 | mitchell\n",
      "Processing Record 1 of Set 22 | koundara\n",
      "Processing Record 2 of Set 22 | kachiry\n",
      "Processing Record 3 of Set 22 | pisco\n",
      "Processing Record 4 of Set 22 | vologda\n",
      "Processing Record 5 of Set 22 | sao jose de ribamar\n",
      "Processing Record 6 of Set 22 | kalmunai\n",
      "Processing Record 7 of Set 22 | oltu\n",
      "Processing Record 8 of Set 22 | palmer\n",
      "Processing Record 9 of Set 22 | berekum\n",
      "Processing Record 10 of Set 22 | mareeba\n",
      "Processing Record 11 of Set 22 | vila\n",
      "Processing Record 12 of Set 22 | mecca\n",
      "Processing Record 13 of Set 22 | haines junction\n",
      "Processing Record 14 of Set 22 | baripada\n",
      "Processing Record 15 of Set 22 | oni\n",
      "Processing Record 16 of Set 22 | balboa\n",
      "Processing Record 17 of Set 22 | jiwani\n",
      "Processing Record 18 of Set 22 | mandan\n",
      "Processing Record 19 of Set 22 | port-gentil\n",
      "Processing Record 20 of Set 22 | oistins\n",
      "Processing Record 21 of Set 22 | warqla\n",
      "City not found. Skipping...\n",
      "Processing Record 22 of Set 22 | kilimatinde\n",
      "Processing Record 23 of Set 22 | staryy nadym\n",
      "Processing Record 24 of Set 22 | dolores\n",
      "Processing Record 25 of Set 22 | candelaria\n",
      "Processing Record 26 of Set 22 | bathsheba\n",
      "Processing Record 27 of Set 22 | harboore\n",
      "Processing Record 28 of Set 22 | zalukokoazhe\n",
      "Processing Record 29 of Set 22 | parintins\n",
      "Processing Record 30 of Set 22 | macapa\n",
      "Processing Record 31 of Set 22 | sovetskaya\n",
      "Processing Record 32 of Set 22 | hirara\n",
      "Processing Record 33 of Set 22 | ouango\n",
      "Processing Record 34 of Set 22 | barreiros\n",
      "Processing Record 35 of Set 22 | urumqi\n",
      "Processing Record 36 of Set 22 | beringovskiy\n",
      "Processing Record 37 of Set 22 | dekar\n",
      "Processing Record 38 of Set 22 | muros\n",
      "Processing Record 39 of Set 22 | trelew\n",
      "Processing Record 40 of Set 22 | pirovskoye\n",
      "Processing Record 41 of Set 22 | gimli\n",
      "Processing Record 42 of Set 22 | gore\n",
      "Processing Record 43 of Set 22 | melilla\n",
      "Processing Record 44 of Set 22 | rabo de peixe\n",
      "Processing Record 45 of Set 22 | fuerte\n",
      "Processing Record 46 of Set 22 | piacabucu\n",
      "Processing Record 47 of Set 22 | avrille\n",
      "Processing Record 48 of Set 22 | rungata\n",
      "City not found. Skipping...\n",
      "Processing Record 49 of Set 22 | saint-denis\n",
      "Processing Record 50 of Set 22 | kundiawa\n",
      "Processing Record 1 of Set 23 | dudinka\n",
      "Processing Record 2 of Set 23 | kabinda\n",
      "Processing Record 3 of Set 23 | amapa\n",
      "Processing Record 4 of Set 23 | beruwala\n",
      "Processing Record 5 of Set 23 | constitucion\n",
      "Processing Record 6 of Set 23 | paamiut\n",
      "Processing Record 7 of Set 23 | kavaratti\n",
      "Processing Record 8 of Set 23 | gamba\n",
      "Processing Record 9 of Set 23 | coaraci\n",
      "Processing Record 10 of Set 23 | karpogory\n",
      "Processing Record 11 of Set 23 | amuntai\n",
      "Processing Record 12 of Set 23 | san quintin\n",
      "Processing Record 13 of Set 23 | acapulco\n",
      "Processing Record 14 of Set 23 | buin\n",
      "Processing Record 15 of Set 23 | ystad\n",
      "Processing Record 16 of Set 23 | zhigansk\n",
      "Processing Record 17 of Set 23 | nova prata\n",
      "Processing Record 18 of Set 23 | bonavista\n",
      "Processing Record 19 of Set 23 | dali\n",
      "Processing Record 20 of Set 23 | esmeraldas\n",
      "Processing Record 21 of Set 23 | shakhtinsk\n",
      "Processing Record 22 of Set 23 | chanute\n",
      "Processing Record 23 of Set 23 | batesville\n",
      "Processing Record 24 of Set 23 | srednekolymsk\n",
      "Processing Record 25 of Set 23 | waihi beach\n",
      "Processing Record 26 of Set 23 | san marco in lamis\n",
      "Processing Record 27 of Set 23 | itaituba\n",
      "Processing Record 28 of Set 23 | pousat\n",
      "City not found. Skipping...\n",
      "Processing Record 29 of Set 23 | purranque\n",
      "Processing Record 30 of Set 23 | weligama\n",
      "Processing Record 31 of Set 23 | odweyne\n",
      "Processing Record 32 of Set 23 | cayenne\n",
      "Processing Record 33 of Set 23 | boden\n",
      "Processing Record 34 of Set 23 | shaping\n",
      "Processing Record 35 of Set 23 | bargal\n",
      "City not found. Skipping...\n",
      "Processing Record 36 of Set 23 | gazanjyk\n",
      "Processing Record 37 of Set 23 | jerantut\n",
      "Processing Record 38 of Set 23 | bolungarvik\n",
      "City not found. Skipping...\n",
      "Processing Record 39 of Set 23 | makaha\n",
      "Processing Record 40 of Set 23 | khatra\n",
      "Processing Record 41 of Set 23 | jalu\n",
      "Processing Record 42 of Set 23 | felipe carrillo puerto\n",
      "Processing Record 43 of Set 23 | sechura\n",
      "Processing Record 44 of Set 23 | sorong\n",
      "Processing Record 45 of Set 23 | yulara\n",
      "Processing Record 46 of Set 23 | tessalit\n",
      "Processing Record 47 of Set 23 | camana\n",
      "Processing Record 48 of Set 23 | acarau\n",
      "Processing Record 49 of Set 23 | tupik\n",
      "Processing Record 50 of Set 23 | wanning\n",
      "Processing Record 1 of Set 24 | artyk\n",
      "City not found. Skipping...\n",
      "Processing Record 2 of Set 24 | yumen\n",
      "Processing Record 3 of Set 24 | wufeng\n",
      "Processing Record 4 of Set 24 | khandyga\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing Record 5 of Set 24 | qeshm\n",
      "Processing Record 6 of Set 24 | zhanakorgan\n",
      "Processing Record 7 of Set 24 | loandjili\n",
      "Processing Record 8 of Set 24 | dengzhou\n",
      "Processing Record 9 of Set 24 | rondonopolis\n",
      "Processing Record 10 of Set 24 | bentiu\n",
      "Processing Record 11 of Set 24 | lumberton\n",
      "Processing Record 12 of Set 24 | mon\n",
      "Processing Record 13 of Set 24 | chulman\n",
      "Processing Record 14 of Set 24 | chinique\n",
      "Processing Record 15 of Set 24 | petropavlovsk-kamchatskiy\n",
      "Processing Record 16 of Set 24 | vestmannaeyjar\n",
      "Processing Record 17 of Set 24 | charlestown\n",
      "Processing Record 18 of Set 24 | ostrovnoy\n",
      "Processing Record 19 of Set 24 | ganzhou\n",
      "Processing Record 20 of Set 24 | mims\n",
      "Processing Record 21 of Set 24 | huescar\n",
      "Processing Record 22 of Set 24 | santiago\n",
      "Processing Record 23 of Set 24 | savannah bight\n",
      "Processing Record 24 of Set 24 | keflavik\n",
      "Processing Record 25 of Set 24 | nhulunbuy\n",
      "Processing Record 26 of Set 24 | cap malheureux\n",
      "Processing Record 27 of Set 24 | jardim\n",
      "Processing Record 28 of Set 24 | burica\n",
      "City not found. Skipping...\n",
      "Processing Record 29 of Set 24 | yekaterinovka\n",
      "Processing Record 30 of Set 24 | nouadhibou\n",
      "Processing Record 31 of Set 24 | champerico\n",
      "Processing Record 32 of Set 24 | chapais\n",
      "Processing Record 33 of Set 24 | awjilah\n",
      "Processing Record 34 of Set 24 | bowen\n",
      "Processing Record 35 of Set 24 | praxedis guerrero\n",
      "Processing Record 36 of Set 24 | afyonkarahisar\n",
      "Processing Record 37 of Set 24 | marsa matruh\n",
      "Processing Record 38 of Set 24 | boueni\n",
      "Processing Record 39 of Set 24 | kintampo\n",
      "Processing Record 40 of Set 24 | port moresby\n",
      "Processing Record 41 of Set 24 | dicabisagan\n",
      "Processing Record 42 of Set 24 | nelson bay\n",
      "Processing Record 43 of Set 24 | romny\n",
      "Processing Record 44 of Set 24 | karangampel\n",
      "Processing Record 45 of Set 24 | aflu\n",
      "City not found. Skipping...\n",
      "Processing Record 46 of Set 24 | virbalis\n",
      "Processing Record 47 of Set 24 | potsdam\n",
      "Processing Record 48 of Set 24 | guiratinga\n",
      "Processing Record 49 of Set 24 | mercedes\n",
      "Processing Record 50 of Set 24 | chifeng\n",
      "Processing Record 1 of Set 25 | truro\n",
      "Processing Record 2 of Set 25 | fare\n",
      "Processing Record 3 of Set 25 | nieuw amsterdam\n",
      "Processing Record 4 of Set 25 | benguela\n",
      "Processing Record 5 of Set 25 | kobayashi\n",
      "Processing Record 6 of Set 25 | neiafu\n",
      "Processing Record 7 of Set 25 | crib point\n",
      "Processing Record 8 of Set 25 | toropets\n",
      "Processing Record 9 of Set 25 | katobu\n",
      "Processing Record 10 of Set 25 | plettenberg bay\n",
      "Processing Record 11 of Set 25 | shuiji\n",
      "Processing Record 12 of Set 25 | lotung\n",
      "City not found. Skipping...\n",
      "Processing Record 13 of Set 25 | dunaszentgyorgy\n",
      "Processing Record 14 of Set 25 | anloga\n",
      "Processing Record 15 of Set 25 | haywards heath\n",
      "Processing Record 16 of Set 25 | kyzyl-suu\n",
      "Processing Record 17 of Set 25 | janakkala\n",
      "Processing Record 18 of Set 25 | calabozo\n",
      "Processing Record 19 of Set 25 | mantua\n",
      "Processing Record 20 of Set 25 | sauda\n",
      "Processing Record 21 of Set 25 | neuquen\n",
      "-----------------------------\n",
      "Data Retrieval Complete      \n",
      "-----------------------------\n"
     ]
    }
   ],
   "source": [
    "# Loop through all the cities in our list.\n",
    "for i in range(len(cities)):\n",
    "\n",
    "    # Group cities in sets of 50 for logging purposes.\n",
    "    if (i % 50 == 0 and i >= 50):\n",
    "        set_count += 1\n",
    "        record_count = 1\n",
    "    # Create endpoint URL with each city.\n",
    "    city_url = url + \"&q=\" + cities[i]\n",
    "    \n",
    "    # Loop through all the cities in the list.\n",
    "for i, city in enumerate(cities):\n",
    "\n",
    "    # Group cities in sets of 50 for logging purposes.\n",
    "    if (i % 50 == 0 and i >= 50):\n",
    "        set_count += 1\n",
    "        record_count = 1\n",
    "    # Create endpoint URL with each city.\n",
    "    city_url = url + \"&q=\" + city.replace(\" \",\"+\")\n",
    "    \n",
    "     # Log the URL, record, and set numbers and the city.\n",
    "    print(f\"Processing Record {record_count} of Set {set_count} | {city}\")\n",
    "    # Add 1 to the record count.\n",
    "    record_count += 1\n",
    "    \n",
    "     # Run an API request for each of the cities.\n",
    "    try:\n",
    "        # Parse the JSON and retrieve data.\n",
    "        city_weather = requests.get(city_url).json()\n",
    "        # Parse out the needed data.\n",
    "        city_lat = city_weather[\"coord\"][\"lat\"]\n",
    "        city_lng = city_weather[\"coord\"][\"lon\"]\n",
    "        city_max_temp = city_weather[\"main\"][\"temp_max\"]\n",
    "        city_humidity = city_weather[\"main\"][\"humidity\"]\n",
    "        city_clouds = city_weather[\"clouds\"][\"all\"]\n",
    "        city_wind = city_weather[\"wind\"][\"speed\"]\n",
    "        city_country = city_weather[\"sys\"][\"country\"]\n",
    "        # Convert the date to ISO standard.\n",
    "        city_date = datetime.utcfromtimestamp(city_weather[\"dt\"]).strftime('%Y-%m-%d %H:%M:%S')\n",
    "        # Append the city information into city_data list.\n",
    "        city_data.append({\"City\": city.title(),\n",
    "                          \"Lat\": city_lat,\n",
    "                          \"Lng\": city_lng,\n",
    "                          \"Max Temp\": city_max_temp,\n",
    "                          \"Humidity\": city_humidity,\n",
    "                          \"Cloudiness\": city_clouds,\n",
    "                          \"Wind Speed\": city_wind,\n",
    "                          \"Country\": city_country,\n",
    "                          \"Date\": city_date})\n",
    "\n",
    "# If an error is experienced, skip the city.\n",
    "    except:\n",
    "        print(\"City not found. Skipping...\")\n",
    "        pass\n",
    "\n",
    "# Indicate that Data Loading is complete.\n",
    "print(\"-----------------------------\")\n",
    "print(\"Data Retrieval Complete      \")\n",
    "print(\"-----------------------------\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "afa725e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'http://api.openweathermap.org/data/2.5/weather?units=Imperial&APPID=5a18d4be393c468ae3c8bf43e9b87aef&q=neuquen'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "city_url"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7dde6033",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'coord': {'lon': -68.0591, 'lat': -38.9516},\n",
       " 'weather': [{'id': 800,\n",
       "   'main': 'Clear',\n",
       "   'description': 'clear sky',\n",
       "   'icon': '01d'}],\n",
       " 'base': 'stations',\n",
       " 'main': {'temp': 55.29,\n",
       "  'feels_like': 52.88,\n",
       "  'temp_min': 55.29,\n",
       "  'temp_max': 55.29,\n",
       "  'pressure': 1027,\n",
       "  'humidity': 50},\n",
       " 'visibility': 10000,\n",
       " 'wind': {'speed': 3.44, 'deg': 20},\n",
       " 'clouds': {'all': 0},\n",
       " 'dt': 1627838920,\n",
       " 'sys': {'type': 1,\n",
       "  'id': 8310,\n",
       "  'country': 'AR',\n",
       "  'sunrise': 1627817667,\n",
       "  'sunset': 1627854151},\n",
       " 'timezone': -10800,\n",
       " 'id': 3843123,\n",
       " 'name': 'Neuquén',\n",
       " 'cod': 200}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "city_weather = requests.get(city_url).json()\n",
    "city_weather"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5f81d4a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'coord': {'lon': -68.0591, 'lat': -38.9516},\n",
       " 'weather': [{'id': 800,\n",
       "   'main': 'Clear',\n",
       "   'description': 'clear sky',\n",
       "   'icon': '01d'}],\n",
       " 'base': 'stations',\n",
       " 'main': {'temp': 55.29,\n",
       "  'feels_like': 52.88,\n",
       "  'temp_min': 55.29,\n",
       "  'temp_max': 55.29,\n",
       "  'pressure': 1027,\n",
       "  'humidity': 50},\n",
       " 'visibility': 10000,\n",
       " 'wind': {'speed': 3.44, 'deg': 20},\n",
       " 'clouds': {'all': 0},\n",
       " 'dt': 1627838920,\n",
       " 'sys': {'type': 1,\n",
       "  'id': 8310,\n",
       "  'country': 'AR',\n",
       "  'sunrise': 1627817667,\n",
       "  'sunset': 1627854151},\n",
       " 'timezone': -10800,\n",
       " 'id': 3843123,\n",
       " 'name': 'Neuquén',\n",
       " 'cod': 200}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "city_weather"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e6e3b8d0",
   "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>Lat</th>\n",
       "      <th>Lng</th>\n",
       "      <th>Max Temp</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Cloudiness</th>\n",
       "      <th>Wind Speed</th>\n",
       "      <th>Country</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Coquimbo</td>\n",
       "      <td>-29.9533</td>\n",
       "      <td>-71.3436</td>\n",
       "      <td>56.93</td>\n",
       "      <td>76</td>\n",
       "      <td>0</td>\n",
       "      <td>11.50</td>\n",
       "      <td>CL</td>\n",
       "      <td>2021-08-01 16:11:36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Geraldton</td>\n",
       "      <td>-28.7667</td>\n",
       "      <td>114.6000</td>\n",
       "      <td>48.61</td>\n",
       "      <td>93</td>\n",
       "      <td>75</td>\n",
       "      <td>8.05</td>\n",
       "      <td>AU</td>\n",
       "      <td>2021-08-01 16:11:36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mar Del Plata</td>\n",
       "      <td>-38.0023</td>\n",
       "      <td>-57.5575</td>\n",
       "      <td>55.09</td>\n",
       "      <td>29</td>\n",
       "      <td>20</td>\n",
       "      <td>3.00</td>\n",
       "      <td>AR</td>\n",
       "      <td>2021-08-01 16:08:44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Matara</td>\n",
       "      <td>5.9485</td>\n",
       "      <td>80.5353</td>\n",
       "      <td>80.02</td>\n",
       "      <td>82</td>\n",
       "      <td>100</td>\n",
       "      <td>10.96</td>\n",
       "      <td>LK</td>\n",
       "      <td>2021-08-01 16:11:37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Hofn</td>\n",
       "      <td>64.2539</td>\n",
       "      <td>-15.2082</td>\n",
       "      <td>53.62</td>\n",
       "      <td>87</td>\n",
       "      <td>75</td>\n",
       "      <td>6.91</td>\n",
       "      <td>IS</td>\n",
       "      <td>2021-08-01 16:11:37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Busselton</td>\n",
       "      <td>-33.6500</td>\n",
       "      <td>115.3333</td>\n",
       "      <td>44.10</td>\n",
       "      <td>72</td>\n",
       "      <td>66</td>\n",
       "      <td>6.78</td>\n",
       "      <td>AU</td>\n",
       "      <td>2021-08-01 16:11:37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Vaini</td>\n",
       "      <td>-21.2000</td>\n",
       "      <td>-175.2000</td>\n",
       "      <td>69.96</td>\n",
       "      <td>88</td>\n",
       "      <td>40</td>\n",
       "      <td>20.71</td>\n",
       "      <td>TO</td>\n",
       "      <td>2021-08-01 16:11:37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Okhotsk</td>\n",
       "      <td>59.3833</td>\n",
       "      <td>143.3000</td>\n",
       "      <td>63.75</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>25.08</td>\n",
       "      <td>RU</td>\n",
       "      <td>2021-08-01 16:11:38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Mataura</td>\n",
       "      <td>-46.1927</td>\n",
       "      <td>168.8643</td>\n",
       "      <td>37.47</td>\n",
       "      <td>99</td>\n",
       "      <td>26</td>\n",
       "      <td>3.44</td>\n",
       "      <td>NZ</td>\n",
       "      <td>2021-08-01 16:11:38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Bethel</td>\n",
       "      <td>41.3712</td>\n",
       "      <td>-73.4140</td>\n",
       "      <td>78.08</td>\n",
       "      <td>68</td>\n",
       "      <td>1</td>\n",
       "      <td>10.36</td>\n",
       "      <td>US</td>\n",
       "      <td>2021-08-01 16:11:38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            City      Lat       Lng  Max Temp  Humidity  Cloudiness  \\\n",
       "0       Coquimbo -29.9533  -71.3436     56.93        76           0   \n",
       "1      Geraldton -28.7667  114.6000     48.61        93          75   \n",
       "2  Mar Del Plata -38.0023  -57.5575     55.09        29          20   \n",
       "3         Matara   5.9485   80.5353     80.02        82         100   \n",
       "4           Hofn  64.2539  -15.2082     53.62        87          75   \n",
       "5      Busselton -33.6500  115.3333     44.10        72          66   \n",
       "6          Vaini -21.2000 -175.2000     69.96        88          40   \n",
       "7        Okhotsk  59.3833  143.3000     63.75        47           0   \n",
       "8        Mataura -46.1927  168.8643     37.47        99          26   \n",
       "9         Bethel  41.3712  -73.4140     78.08        68           1   \n",
       "\n",
       "   Wind Speed Country                 Date  \n",
       "0       11.50      CL  2021-08-01 16:11:36  \n",
       "1        8.05      AU  2021-08-01 16:11:36  \n",
       "2        3.00      AR  2021-08-01 16:08:44  \n",
       "3       10.96      LK  2021-08-01 16:11:37  \n",
       "4        6.91      IS  2021-08-01 16:11:37  \n",
       "5        6.78      AU  2021-08-01 16:11:37  \n",
       "6       20.71      TO  2021-08-01 16:11:37  \n",
       "7       25.08      RU  2021-08-01 16:11:38  \n",
       "8        3.44      NZ  2021-08-01 16:11:38  \n",
       "9       10.36      US  2021-08-01 16:11:38  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert the array of dictionaries to a Pandas DataFrame.\n",
    "city_data_df = pd.DataFrame(city_data)\n",
    "city_data_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "bb8cc1ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extract relevant fields from the DataFrame for plotting.\n",
    "lats = city_data_df[\"Lat\"]\n",
    "max_temps = city_data_df[\"Max Temp\"]\n",
    "humidity = city_data_df[\"Humidity\"]\n",
    "cloudiness = city_data_df[\"Cloudiness\"]\n",
    "wind_speed = city_data_df[\"Wind Speed\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d5ce68c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Import time module\n",
    "import time\n",
    "\n",
    "# Build the scatter plot for latitude vs. max temperature.\n",
    "plt.scatter(lats,\n",
    "            max_temps,\n",
    "            edgecolor=\"black\", linewidths=1, marker=\"o\",\n",
    "            alpha=0.8, label=\"Cities\")\n",
    "\n",
    "# Incorporate the other graph properties.\n",
    "plt.title(f\"City Latitude vs. Max Temperature \"+ time.strftime(\"%x\"))\n",
    "plt.ylabel(\"Max Temperature (F)\")\n",
    "plt.xlabel(\"Latitude\")\n",
    "plt.grid(True)\n",
    "\n",
    "# Save the figure.\n",
    "plt.savefig(\"weather_data/Fig1.png\")\n",
    "\n",
    "# Show plot.\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b732d6f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Build the scatter plots for latitude vs. humidity.\n",
    "plt.scatter(lats,\n",
    "            humidity,\n",
    "            edgecolor=\"black\", linewidths=1, marker=\"o\",\n",
    "            alpha=0.8, label=\"Cities\")\n",
    "\n",
    "# Incorporate the other graph properties.\n",
    "plt.title(f\"City Latitude vs. Humidity \"+ time.strftime(\"%x\"))\n",
    "plt.ylabel(\"Humidity (%)\")\n",
    "plt.xlabel(\"Latitude\")\n",
    "plt.grid(True)\n",
    "# Save the figure.\n",
    "plt.savefig(\"weather_data/Fig2.png\")\n",
    "# Show plot.\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "e636680e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Build the scatter plots for latitude vs. cloudiness.\n",
    "plt.scatter(lats,\n",
    "            cloudiness,\n",
    "            edgecolor=\"black\", linewidths=1, marker=\"o\",\n",
    "            alpha=0.8, label=\"Cities\")\n",
    "\n",
    "# Incorporate the other graph properties.\n",
    "plt.title(f\"City Latitude vs. Cloudiness (%) \"+ time.strftime(\"%x\"))\n",
    "plt.ylabel(\"Cloudiness (%)\")\n",
    "plt.xlabel(\"Latitude\")\n",
    "plt.grid(True)\n",
    "# Save the figure.\n",
    "plt.savefig(\"weather_data/Fig3.png\")\n",
    "# Show plot.\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "7cbef10b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Build the scatter plots for latitude vs. wind speed.\n",
    "plt.scatter(lats,\n",
    "            wind_speed,\n",
    "            edgecolor=\"black\", linewidths=1, marker=\"o\",\n",
    "            alpha=0.8, label=\"Cities\")\n",
    "\n",
    "# Incorporate the other graph properties.\n",
    "plt.title(f\"City Latitude vs. Wind Speed \"+ time.strftime(\"%x\"))\n",
    "plt.ylabel(\"Wind Speed (mph)\")\n",
    "plt.xlabel(\"Latitude\")\n",
    "plt.grid(True)\n",
    "# Save the figure.\n",
    "plt.savefig(\"weather_data/Fig4.png\")\n",
    "# Show plot.\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3a12c99c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "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": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}