API_Practice.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use the citipy module to determine city based on latitude and longitude.\n",
    "from citipy import citipy  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a practice set of random latitude and longitude combinations.\n",
    "x = [25.12903645, 25.92017388, 26.62509167, -59.98969384, 37.30571269]\n",
    "y = [-67.59741259, 11.09532135, 74.84233102, -76.89176677, -61.13376282]\n",
    "coordinates = zip(x, y) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use the tuple() function to display the latitude and longitude combinations.\n",
    "for coordinate in coordinates:\n",
    "    print(coordinate[0], coordinate[1]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cockburn town tc\n",
      "gat ly\n",
      "parvatsar in\n",
      "punta arenas cl\n",
      "saint george bm\n"
     ]
    }
   ],
   "source": [
    "# Use the tuple() function to display the latitude and longitude combinations.\n",
    "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": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import requests library\n",
    "import requests \n",
    "\n",
    "#Import API key\n",
    "from config import weather_api_key "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "http://api.openweathermap.org/data/2.5/weather?units=Imperial&APPID=5a4d71ed8bb1fea219234cb74bc09002\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": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "http://api.openweathermap.org/data/2.5/weather?units=Imperial&APPID=5a4d71ed8bb1fea219234cb74bc09002&q=Boston\n"
     ]
    }
   ],
   "source": [
    "# Create an endpoint URL for a city.\n",
    "city_url = url + \"&q=\" + \"Boston\"\n",
    "print(city_url) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Make a 'Get' request for the city weather.\n",
    "city_weather = requests.get(city_url)\n",
    "city_weather "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "200"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "city_weather.status_code "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [404]>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create an endpoint URL for a city. (Intentional misspelling)\n",
    "city_url = url + \"&q=\" + \"Bston\"\n",
    "city_weather = requests.get(city_url)\n",
    "city_weather "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create an endpoint URL for a city.\n",
    "city_url = url + \"&q=\" + \"Boston\"\n",
    "city_weather = requests.get(city_url)\n",
    "city_weather "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'{\"coord\":{\"lon\":-71.06,\"lat\":42.36},\"weather\":[{\"id\":804,\"main\":\"Clouds\",\"description\":\"overcast clouds\",\"icon\":\"04d\"}],\"base\":\"stations\",\"main\":{\"temp\":39.56,\"feels_like\":30.78,\"temp_min\":35.6,\"temp_max\":43,\"pressure\":1031,\"humidity\":64},\"visibility\":10000,\"wind\":{\"speed\":8.37,\"deg\":153},\"clouds\":{\"all\":90},\"dt\":1606316126,\"sys\":{\"type\":1,\"id\":3486,\"country\":\"US\",\"sunrise\":1606304872,\"sunset\":1606338919},\"timezone\":-18000,\"id\":4930956,\"name\":\"Boston\",\"cod\":200}'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the text of the 'Get' request.\n",
    "city_weather.text "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'coord': {'lon': -71.06, 'lat': 42.36},\n",
       " 'weather': [{'id': 804,\n",
       "   'main': 'Clouds',\n",
       "   'description': 'overcast clouds',\n",
       "   'icon': '04d'}],\n",
       " 'base': 'stations',\n",
       " 'main': {'temp': 39.56,\n",
       "  'feels_like': 30.78,\n",
       "  'temp_min': 35.6,\n",
       "  'temp_max': 43,\n",
       "  'pressure': 1031,\n",
       "  'humidity': 64},\n",
       " 'visibility': 10000,\n",
       " 'wind': {'speed': 8.37, 'deg': 153},\n",
       " 'clouds': {'all': 90},\n",
       " 'dt': 1606316126,\n",
       " 'sys': {'type': 1,\n",
       "  'id': 3486,\n",
       "  'country': 'US',\n",
       "  'sunrise': 1606304872,\n",
       "  'sunset': 1606338919},\n",
       " 'timezone': -18000,\n",
       " 'id': 4930956,\n",
       " 'name': 'Boston',\n",
       " 'cod': 200}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the JSON text of the 'Get' request.\n",
    "city_weather.json() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "City Weather found.\n"
     ]
    }
   ],
   "source": [
    "# Create an endpoint URL for a city.\n",
    "city_url = url + \"&q=\" + \"Boston\"\n",
    "city_weather = requests.get(city_url)\n",
    "if city_weather.status_code == 200:\n",
    "    print(f\"City Weather found.\")\n",
    "else:\n",
    "    print(f\"City weather not found.\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "City Weather found.\n"
     ]
    }
   ],
   "source": [
    "# Create an endpoint URL for a city.\n",
    "city_url = url + \"&q=\" + \"Bston\"\n",
    "city_weather = requests.get(city_url)\n",
    "if city_weather.json():\n",
    "    print(f\"City Weather found.\")\n",
    "else:\n",
    "    print(f\"City weather not found.\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "http://api.openweathermap.org/data/2.5/weather?units=Imperial&APPID=5a4d71ed8bb1fea219234cb74bc09002&q=Bston\n"
     ]
    }
   ],
   "source": [
    "#city not found \n",
    "print(city_url) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'coord': {'lon': -71.06, 'lat': 42.36},\n",
       " 'weather': [{'id': 804,\n",
       "   'main': 'Clouds',\n",
       "   'description': 'overcast clouds',\n",
       "   'icon': '04d'}],\n",
       " 'base': 'stations',\n",
       " 'main': {'temp': 39.74,\n",
       "  'feels_like': 30.97,\n",
       "  'temp_min': 35.6,\n",
       "  'temp_max': 44.01,\n",
       "  'pressure': 1031,\n",
       "  'humidity': 64},\n",
       " 'visibility': 10000,\n",
       " 'wind': {'speed': 8.37, 'deg': 153},\n",
       " 'clouds': {'all': 90},\n",
       " 'dt': 1606316375,\n",
       " 'sys': {'type': 1,\n",
       "  'id': 3486,\n",
       "  'country': 'US',\n",
       "  'sunrise': 1606304872,\n",
       "  'sunset': 1606338919},\n",
       " 'timezone': -18000,\n",
       " 'id': 4930956,\n",
       " 'name': 'Boston',\n",
       " 'cod': 200}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create an endpoint URL for a city.\n",
    "city_url = url + \"&q=\" + \"Boston\"\n",
    "city_weather = requests.get(city_url)\n",
    "city_weather.json() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'coord': {'lon': -71.06, 'lat': 42.36},\n",
       " 'weather': [{'id': 804,\n",
       "   'main': 'Clouds',\n",
       "   'description': 'overcast clouds',\n",
       "   'icon': '04d'}],\n",
       " 'base': 'stations',\n",
       " 'main': {'temp': 39.74,\n",
       "  'feels_like': 30.97,\n",
       "  'temp_min': 35.6,\n",
       "  'temp_max': 44.01,\n",
       "  'pressure': 1031,\n",
       "  'humidity': 64},\n",
       " 'visibility': 10000,\n",
       " 'wind': {'speed': 8.37, 'deg': 153},\n",
       " 'clouds': {'all': 90},\n",
       " 'dt': 1606316375,\n",
       " 'sys': {'type': 1,\n",
       "  'id': 3486,\n",
       "  'country': 'US',\n",
       "  'sunrise': 1606304872,\n",
       "  'sunset': 1606338919},\n",
       " 'timezone': -18000,\n",
       " 'id': 4930956,\n",
       " 'name': 'Boston',\n",
       " 'cod': 200}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the JSON data.\n",
    "boston_data = city_weather.json() \n",
    "boston_data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'type': 1,\n",
       " 'id': 3486,\n",
       " 'country': 'US',\n",
       " 'sunrise': 1606304872,\n",
       " 'sunset': 1606338919}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boston_data['sys'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'US'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boston_data['sys']['country'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1606316375"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boston_data['dt'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "42.36"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boston_data['coord']['lat'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "44.01"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boston_data['main']['temp_max'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "42.36 -71.06 44.01 64 90 8.37\n"
     ]
    }
   ],
   "source": [
    "lat = boston_data[\"coord\"][\"lat\"]\n",
    "lng = boston_data[\"coord\"][\"lon\"]\n",
    "max_temp = boston_data[\"main\"][\"temp_max\"]\n",
    "humidity = boston_data[\"main\"][\"humidity\"]\n",
    "clouds = boston_data[\"clouds\"][\"all\"]\n",
    "wind = boston_data[\"wind\"][\"speed\"]\n",
    "print(lat, lng, max_temp, humidity, clouds, wind) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2020, 11, 25, 14, 59, 35)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import the datetime module from the datetime library.\n",
    "from datetime import datetime\n",
    "# Get the date from the JSON file.\n",
    "date = boston_data[\"dt\"]\n",
    "# Convert the UTC date to a date format with year, month, day, hours, minutes, and seconds.\n",
    "datetime.utcfromtimestamp(date) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2020-11-25 14:59:35'"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datetime.utcfromtimestamp(date).strftime('%Y-%m-%d %H:%M:%S') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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