API_practice.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "25167597",
   "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)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b3a4c76e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25.12903645 -67.59741259\n",
      "25.92017388 11.09532135\n",
      "26.62509167 74.84233102\n",
      "-59.98969384 -76.89176677\n",
      "37.30571269 -61.13376282\n"
     ]
    }
   ],
   "source": [
    "# Use the tuple() function to display the latitude and longitude combinations.\n",
    "for coordinate in coordinates:\n",
    "    print(coordinate[0], coordinate[1])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0461f858",
   "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": 4,
   "id": "ef4ef840",
   "metadata": {},
   "outputs": [],
   "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": 6,
   "id": "b2132477",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the requests library.\n",
    "import requests\n",
    "\n",
    "# Import the API key.\n",
    "from config import weather_api_key"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e1b4b209",
   "metadata": {},
   "outputs": [],
   "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": 10,
   "id": "5488505f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create an endpoint URL for a city.\n",
    "# city_url = url + \"&q=\" + \"Boston\"\n",
    "# print(city_url)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a63fb6cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Make a 'Get' request for the city weather.\n",
    "city_weather = requests.get(city_url)\n",
    "city_weather\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "61f83a4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [404]>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create an endpoint URL for a city.\n",
    "city_url = url + \"&q=\" + \"Bston\"\n",
    "city_weather = requests.get(city_url)\n",
    "city_weather"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fee57147",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 13,
     "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\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1fc76762",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'{\"coord\":{\"lon\":-71.0598,\"lat\":42.3584},\"weather\":[{\"id\":804,\"main\":\"Clouds\",\"description\":\"overcast clouds\",\"icon\":\"04n\"}],\"base\":\"stations\",\"main\":{\"temp\":75.27,\"feels_like\":75.97,\"temp_min\":70.95,\"temp_max\":78.08,\"pressure\":1016,\"humidity\":74},\"visibility\":10000,\"wind\":{\"speed\":1.99,\"deg\":287,\"gust\":10},\"clouds\":{\"all\":100},\"dt\":1628391233,\"sys\":{\"type\":2,\"id\":2013408,\"country\":\"US\",\"sunrise\":1628329394,\"sunset\":1628380606},\"timezone\":-14400,\"id\":4930956,\"name\":\"Boston\",\"cod\":200}'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the text of the 'Get' request.\n",
    "city_weather.text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "29ec598a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'coord': {'lon': -71.0598, 'lat': 42.3584},\n",
       " 'weather': [{'id': 804,\n",
       "   'main': 'Clouds',\n",
       "   'description': 'overcast clouds',\n",
       "   'icon': '04n'}],\n",
       " 'base': 'stations',\n",
       " 'main': {'temp': 75.27,\n",
       "  'feels_like': 75.97,\n",
       "  'temp_min': 70.95,\n",
       "  'temp_max': 78.08,\n",
       "  'pressure': 1016,\n",
       "  'humidity': 74},\n",
       " 'visibility': 10000,\n",
       " 'wind': {'speed': 1.99, 'deg': 287, 'gust': 10},\n",
       " 'clouds': {'all': 100},\n",
       " 'dt': 1628391233,\n",
       " 'sys': {'type': 2,\n",
       "  'id': 2013408,\n",
       "  'country': 'US',\n",
       "  'sunrise': 1628329394,\n",
       "  'sunset': 1628380606},\n",
       " 'timezone': -14400,\n",
       " 'id': 4930956,\n",
       " 'name': 'Boston',\n",
       " 'cod': 200}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the JSON text of the 'Get' request.\n",
    "city_weather.json()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6254645b",
   "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.json():\n",
    "    print(f\"City Weather found.\")\n",
    "else:\n",
    "    print(f\"City weather not found.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "352f3643",
   "metadata": {},
   "outputs": [],
   "source": [
    "# print(city_url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4931e28f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'coord': {'lon': -71.0598, 'lat': 42.3584},\n",
       " 'weather': [{'id': 804,\n",
       "   'main': 'Clouds',\n",
       "   'description': 'overcast clouds',\n",
       "   'icon': '04n'}],\n",
       " 'base': 'stations',\n",
       " 'main': {'temp': 75.27,\n",
       "  'feels_like': 75.97,\n",
       "  'temp_min': 70.95,\n",
       "  'temp_max': 78.08,\n",
       "  'pressure': 1016,\n",
       "  'humidity': 74},\n",
       " 'visibility': 10000,\n",
       " 'wind': {'speed': 1.99, 'deg': 287, 'gust': 10},\n",
       " 'clouds': {'all': 100},\n",
       " 'dt': 1628391233,\n",
       " 'sys': {'type': 2,\n",
       "  'id': 2013408,\n",
       "  'country': 'US',\n",
       "  'sunrise': 1628329394,\n",
       "  'sunset': 1628380606},\n",
       " 'timezone': -14400,\n",
       " 'id': 4930956,\n",
       " 'name': 'Boston',\n",
       " 'cod': 200}"
      ]
     },
     "execution_count": 20,
     "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": 22,
   "id": "8f6344a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get the JSON data.\n",
    "boston_data = city_weather.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "e40a287d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'US'"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boston_data['sys']['country']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e57923e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1628391233"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " boston_data[\"dt\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8f342644",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "42.3584 -71.0598 78.08 74 100 1.99\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)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "cba0a575",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2021-08-08 02:53:53'"
      ]
     },
     "execution_count": 28,
     "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).strftime('%Y-%m-%d %H:%M:%S')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "6a58244c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'08/07/21'"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import the time module.\n",
    "import time\n",
    "# Get today's date in seconds.\n",
    "today = time.strftime(\"%x\")\n",
    "today\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "717be5e7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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