import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import requests
from citipy import citipy
import random
api_key = '2765bd24bf383b91a6fd01c375a583db'#Generate City list
#Create random list of longitude and latitude
lat_random = []
long_random = []
for rand in range(499):
lat_random.append(round(random.uniform(-90.0, 91.0),2))
long_random.append(round(random.uniform(-180.0,181.0),2))#Convert the lat and long to city names and append to city_list
city_list = []
for row in range(499):
city = (citipy.nearest_city(lat_random[row],long_random[row]))
city_list.append(city.city_name)#Create a small listi to test
city_small_list = city_list[:5]
city_small_list['belushya guba', 'narsaq', 'sumbawa', 'longyearbyen', 'naze']
# Save config information
url = "http://api.openweathermap.org/data/2.5/weather?"
units = "imperial"
# Build query URL in for loops then output Temp, Humidity, Cloudiness, and Wind Speed
city_small_list_agg = []
for index, city in enumerate(city_small_list):
parameters = f"appid={api_key}&units={units}&q={city}"
response_json = requests.get(url, params=parameters).json()
city_small_list_agg.append(response_json)
print(city_small_list_agg)
#Find the index for temp
#city_small_list_agg[1]['main']['temp']
#Find the index for Humidity
#city_small_list_agg[1]['main']['humidity']
#Find the index for Cloudiness
#city_small_list_agg[1]['clouds']['all']
#Find the index for Wind Spped
#city_small_list_agg[1]['wind']['speed'][{'cod': '404', 'message': 'city not found'}, {'coord': {'lon': -46.05, 'lat': 60.91}, 'weather': [{'id': 801, 'main': 'Clouds', 'description': 'few clouds', 'icon': '02n'}], 'base': 'stations', 'main': {'temp': 46.4, 'pressure': 998, 'humidity': 36, 'temp_min': 46.4, 'temp_max': 46.4}, 'wind': {'speed': 21.92, 'deg': 60, 'gust': 17}, 'clouds': {'all': 20}, 'dt': 1521442200, 'sys': {'type': 1, 'id': 4791, 'message': 0.0038, 'country': 'GL', 'sunrise': 1521450471, 'sunset': 1521494233}, 'id': 3421719, 'name': 'Narsaq', 'cod': 200}, {'cod': '404', 'message': 'city not found'}, {'coord': {'lon': 15.63, 'lat': 78.22}, 'weather': [{'id': 801, 'main': 'Clouds', 'description': 'few clouds', 'icon': '02d'}], 'base': 'stations', 'main': {'temp': 3.2, 'pressure': 1020, 'humidity': 59, 'temp_min': 3.2, 'temp_max': 3.2}, 'visibility': 10000, 'wind': {'speed': 24.16, 'deg': 130}, 'clouds': {'all': 20}, 'dt': 1521442200, 'sys': {'type': 1, 'id': 5326, 'message': 0.0045, 'country': 'NO', 'sunrise': 1521435464, 'sunset': 1521479787}, 'id': 2729907, 'name': 'Longyearbyen', 'cod': 200}, {'coord': {'lon': 7.07, 'lat': 5.43}, 'weather': [{'id': 803, 'main': 'Clouds', 'description': 'broken clouds', 'icon': '04d'}], 'base': 'stations', 'main': {'temp': 78.8, 'pressure': 1010, 'humidity': 88, 'temp_min': 78.8, 'temp_max': 78.8}, 'visibility': 8000, 'wind': {'speed': 4.05, 'deg': 198.001}, 'clouds': {'all': 75}, 'dt': 1521442800, 'sys': {'type': 1, 'id': 6299, 'message': 0.004, 'country': 'NG', 'sunrise': 1521437777, 'sunset': 1521481353}, 'id': 2337542, 'name': 'Naze', 'cod': 200}]
# Build table for Temp, Humidity, Cloudiness, and Wind Speed
cities_test_df = pd.DataFrame()
cities_test_df ['lat'] = ''
cities_test_df ['long'] = ''
cities_test_df ['temp'] = ''
cities_test_df ['humidity'] = ''
cities_test_df ['cloudiness'] = ''
cities_test_df ['wind speed'] = ''
for index, row in enumerate(city_small_list_agg):
try:
cities_test_df .loc[index,'lat'] = city_small_list_agg[index]['coord']['lat']
cities_test_df .loc[index,'long'] = city_small_list_agg[index]['coord']['lon']
cities_test_df .loc[index,'temp'] = city_small_list_agg[index]['main']['temp']
cities_test_df .loc[index,'humidity'] = city_small_list_agg[index]['main']['humidity']
cities_test_df .loc[index,'cloudiness'] = city_small_list_agg[index]['clouds']['all']
cities_test_df .loc[index,'wind speed'] = city_small_list_agg[index]['wind']['speed']
except:
continue
cities_test_df
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| lat | long | temp | humidity | cloudiness | wind speed | |
|---|---|---|---|---|---|---|
| 1 | 60.91 | -46.05 | 46.4 | 36 | 20 | 21.92 |
| 3 | 78.22 | 15.63 | 3.2 | 59 | 20 | 24.16 |
| 4 | 5.43 | 7.07 | 78.8 | 88 | 75 | 4.05 |
#Full list
# Save config information
url = "http://api.openweathermap.org/data/2.5/weather?"
units = "imperial"
# Build query URL in for loops then output Temp, Humidity, Cloudiness, and Wind Speed
city_list_agg = []
for index, city in enumerate(city_list):
parameters = f"appid={api_key}&units={units}&q={city}"
response_json = requests.get(url, params=parameters).json()
city_list_agg.append(response_json)
print(city_list_agg)[{'cod': '404', 'message': 'city not found'}, {'coord': {'lon': -46.05, 'lat': 60.91}, 'weather': [{'id': 801, 'main': 'Clouds', 'description': 'few clouds', 'icon': '02n'}], 'base': 'stations', 'main': {'temp': 46.4, 'pressure': 998, 'humidity': 36, 'temp_min': 46.4, 'temp_max': 46.4}, 'wind': {'speed': 21.92, 'deg': 60, 'gust': 17}, 'clouds': {'all': 20}, 'dt': 1521442200, 'sys': {'type': 1, 'id': 4791, 'message': 0.0038, 'country': 'GL', 'sunrise': 1521450471, 'sunset': 1521494233}, 'id': 3421719, 'name': 'Narsaq', 'cod': 200}, {'cod': '404', 'message': 'city not found'}, {'coord': {'lon': 15.63, 'lat': 78.22}, 'weather': [{'id': 801, 'main': 'Clouds', 'description': 'few clouds', 'icon': '02d'}], 'base': 'stations', 'main': {'temp': 3.2, 'pressure': 1020, 'humidity': 59, 'temp_min': 3.2, 'temp_max': 3.2}, 'visibility': 10000, 'wind': {'speed': 24.16, 'deg': 130}, 'clouds': {'all': 20}, 'dt': 1521442200, 'sys': {'type': 1, 'id': 5326, 'message': 0.0045, 'country': 'NO', 'sunrise': 1521435464, 'sunset': 1521479787}, 'id': 2729907, 'name': 'Longyearbyen', 'cod': 200}, {'coord': {'lon': 7.07, 'lat': 5.43}, 'weather': [{'id': 803, 'main': 'Clouds', 'description': 'broken clouds', 'icon': '04d'}], 'base': 'stations', 'main': {'temp': 78.8, 'pressure': 1010, 'humidity': 88, 'temp_min': 78.8, 'temp_max': 78.8}, 'visibility': 8000, 'wind': {'speed': 4.05, 'deg': 198.001}, 'clouds': {'all': 75}, 'dt': 1521442800, 'sys': {'type': 1, 'id': 6299, 'message': 0.004, 'country': 'NG', 'sunrise': 1521437777, 'sunset': 1521481353}, 'id': 2337542, 'name': 'Naze', 'cod': 200}, {'coord': {'lon': -68.93, 'lat': -22.46}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01n'}], 'base': 'stations', 'main': {'temp': 48.2, 'pressure': 1024, 'humidity': 49, 'temp_min': 48.2, 'temp_max': 48.2}, 'visibility': 10000, 'wind': {'speed': 14.99, 'deg': 100}, 'clouds': {'all': 0}, 'dt': 1521442800, 'sys': {'type': 1, 'id': 4640, 'message': 0.0027, 'country': 'CL', 'sunrise': 1521455951, 'sunset': 1521499627}, 'id': 3897347, 'name': 'Calama', 'cod': 200}, {'coord': {'lon': 149.07, 'lat': -23.58}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01d'}], 'base': 'stations', 'main': {'temp': 91.42, 'pressure': 1002.13, 'humidity': 42, 'temp_min': 91.42, 'temp_max': 91.42, 'sea_level': 1024.54, 'grnd_level': 1002.13}, 'wind': {'speed': 9.08, 'deg': 107.001}, 'clouds': {'all': 0}, 'dt': 1521443994, 'sys': {'message': 0.0031, 'country': 'AU', 'sunrise': 1521403612, 'sunset': 1521447346}, 'id': 2175403, 'name': 'Bluff', 'cod': 200}, {'coord': {'lon': -22.43, 'lat': 63.84}, 'weather': [{'id': 803, 'main': 'Clouds', 'description': 'broken clouds', 'icon': '04n'}], 'base': 'stations', 'main': {'temp': 41, 'pressure': 1024, 'humidity': 86, 'temp_min': 41, 'temp_max': 41}, 'visibility': 10000, 'wind': {'speed': 11.41, 'deg': 160}, 'clouds': {'all': 75}, 'dt': 1521442800, 'sys': {'type': 1, 'id': 4832, 'message': 0.0034, 'country': 'IS', 'sunrise': 1521444796, 'sunset': 1521488584}, 'id': 3416888, 'name': 'Grindavik', 'cod': 200}, {'coord': {'lon': 93.92, 'lat': 52.15}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01d'}], 'base': 'stations', 'main': {'temp': 34.36, 'pressure': 887.43, 'humidity': 72, 'temp_min': 34.36, 'temp_max': 34.36, 'sea_level': 1035.85, 'grnd_level': 887.43}, 'wind': {'speed': 2.93, 'deg': 177.001}, 'clouds': {'all': 0}, 'dt': 1521443995, 'sys': {'message': 0.0031, 'country': 'RU', 'sunrise': 1521416970, 'sunset': 1521460538}, 'id': 1488950, 'name': 'Turan', 'cod': 200}, {'coord': {'lon': -70.91, 'lat': -53.16}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01n'}], 'base': 'stations', 'main': {'temp': 35.6, 'pressure': 1001, 'humidity': 74, 'temp_min': 35.6, 'temp_max': 35.6}, 'visibility': 10000, 'wind': {'speed': 14.99, 'deg': 240}, 'clouds': {'all': 0}, 'dt': 1521442800, 'sys': {'type': 1, 'id': 4642, 'message': 0.0037, 'country': 'CL', 'sunrise': 1521456228, 'sunset': 1521500255}, 'id': 3874787, 'name': 'Punta Arenas', 'cod': 200}, {'coord': {'lon': 115.51, 'lat': -2.54}, 'weather': [{'id': 802, 'main': 'Clouds', 'description': 'scattered clouds', 'icon': '03d'}], 'base': 'stations', 'main': {'temp': 87.01, 'pressure': 995.41, 'humidity': 69, 'temp_min': 87.01, 'temp_max': 87.01, 'sea_level': 1020.77, 'grnd_level': 995.41}, 'wind': {'speed': 2.37, 'deg': 191.001}, 'clouds': {'all': 44}, 'dt': 1521443996, 'sys': {'message': 0.0036, 'country': 'ID', 'sunrise': 1521411741, 'sunset': 1521455342}, 'id': 1641899, 'name': 'Labuhan', 'cod': 200}, {'coord': {'lon': 149.55, 'lat': -6.21}, 'weather': [{'id': 501, 'main': 'Rain', 'description': 'moderate rain', 'icon': '10d'}], 'base': 'stations', 'main': {'temp': 74.59, 'pressure': 1001.24, 'humidity': 100, 'temp_min': 74.59, 'temp_max': 74.59, 'sea_level': 1018.38, 'grnd_level': 1001.24}, 'wind': {'speed': 5.17, 'deg': 258.001}, 'rain': {'3h': 5.905}, 'clouds': {'all': 92}, 'dt': 1521443996, 'sys': {'message': 0.0038, 'country': 'PG', 'sunrise': 1521403562, 'sunset': 1521447182}, 'id': 2094746, 'name': 'Kandrian', 'cod': 200}, {'coord': {'lon': 74.49, 'lat': 15.34}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01d'}], 'base': 'stations', 'main': {'temp': 86.74, 'pressure': 961.28, 'humidity': 63, 'temp_min': 86.74, 'temp_max': 86.74, 'sea_level': 1025.79, 'grnd_level': 961.28}, 'wind': {'speed': 3.49, 'deg': 90.5005}, 'clouds': {'all': 0}, 'dt': 1521443997, 'sys': {'message': 0.0033, 'country': 'IN', 'sunrise': 1521421617, 'sunset': 1521465167}, 'id': 1273574, 'name': 'Vaini', 'cod': 200}, {'coord': {'lon': -119.27, 'lat': 50.27}, 'weather': [{'id': 804, 'main': 'Clouds', 'description': 'overcast clouds', 'icon': '04n'}], 'base': 'stations', 'main': {'temp': 41, 'pressure': 1019, 'humidity': 87, 'temp_min': 41, 'temp_max': 41}, 'visibility': 14484, 'wind': {'speed': 4.7}, 'clouds': {'all': 90}, 'dt': 1521439200, 'sys': {'type': 1, 'id': 3295, 'message': 0.004, 'country': 'CA', 'sunrise': 1521468060, 'sunset': 1521511754}, 'id': 6173864, 'name': 'Vernon', 'cod': 200}, {'coord': {'lon': -60.23, 'lat': -38.31}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01n'}], 'base': 'stations', 'main': {'temp': 50.11, 'pressure': 1010.48, 'humidity': 86, 'temp_min': 50.11, 'temp_max': 50.11, 'sea_level': 1022.55, 'grnd_level': 1010.48}, 'wind': {'speed': 10.31, 'deg': 271.001}, 'clouds': {'all': 0}, 'dt': 1521443998, 'sys': {'message': 0.0033, 'country': 'AR', 'sunrise': 1521453790, 'sunset': 1521497595}, 'id': 3833859, 'name': 'Barrow', 'cod': 200}, {'coord': {'lon': 22.23, 'lat': -10.7}, 'weather': [{'id': 500, 'main': 'Rain', 'description': 'light rain', 'icon': '10d'}], 'base': 'stations', 'main': {'temp': 64.96, 'pressure': 904.54, 'humidity': 99, 'temp_min': 64.96, 'temp_max': 64.96, 'sea_level': 1023.28, 'grnd_level': 904.54}, 'wind': {'speed': 2.93, 'deg': 272.501}, 'rain': {'3h': 1.515}, 'clouds': {'all': 92}, 'dt': 1521443998, 'sys': {'message': 0.0032, 'country': 'CD', 'sunrise': 1521434105, 'sunset': 1521477736}, 'id': 876177, 'name': 'Luau', 'cod': 200}, {'cod': '404', 'message': 'city not found'}, {'coord': {'lon': -45.24, 'lat': 60.14}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01n'}], 'base': 'stations', 'main': {'temp': 35.26, 'pressure': 991.84, 'humidity': 84, 'temp_min': 35.26, 'temp_max': 35.26, 'sea_level': 1004.52, 'grnd_level': 991.84}, 'wind': {'speed': 50.13, 'deg': 63.5005}, 'clouds': {'all': 0}, 'dt': 1521443999, 'sys': {'message': 0.0045, 'country': 'GL', 'sunrise': 1521450281, 'sunset': 1521494031}, 'id': 3421765, 'name': 'Nanortalik', 'cod': 200}, {'coord': {'lon': -56.15, 'lat': 72.79}, 'weather': [{'id': 802, 'main': 'Clouds', 'description': 'scattered clouds', 'icon': '03n'}], 'base': 'stations', 'main': {'temp': 1.87, 'pressure': 1025.16, 'humidity': 99, 'temp_min': 1.87, 'temp_max': 1.87, 'sea_level': 1028.59, 'grnd_level': 1025.16}, 'wind': {'speed': 17.69, 'deg': 349.001}, 'clouds': {'all': 48}, 'dt': 1521443999, 'sys': {'message': 0.0032, 'country': 'GL', 'sunrise': 1521452757, 'sunset': 1521496865}, 'id': 3418910, 'name': 'Upernavik', 'cod': 200}, {'cod': '404', 'message': 'city not found'}, {'coord': {'lon': 151.26, 'lat': -27.18}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01d'}], 'base': 'stations', 'main': {'temp': 86, 'pressure': 1015, 'humidity': 42, 'temp_min': 86, 'temp_max': 86}, 'visibility': 10000, 'wind': {'speed': 14.99, 'deg': 80}, 'clouds': {'all': 0}, 'dt': 1521439200, 'sys': {'type': 1, 'id': 8173, 'message': 0.0027, 'country': 'AU', 'sunrise': 1521403069, 'sunset': 1521446835}, 'id': 2169535, 'name': 'Dalby', 'cod': 200}, {'coord': {'lon': -134.97, 'lat': -23.12}, 'weather': [{'id': 803, 'main': 'Clouds', 'description': 'broken clouds', 'icon': '04n'}], 'base': 'stations', 'main': {'temp': 79.63, 'pressure': 1029.61, 'humidity': 100, 'temp_min': 79.63, 'temp_max': 79.63, 'sea_level': 1029.77, 'grnd_level': 1029.61}, 'wind': {'speed': 17.92, 'deg': 72.0005}, 'clouds': {'all': 56}, 'dt': 1521444001, 'sys': {'message': 0.0031, 'country': 'PF', 'sunrise': 1521471802, 'sunset': 1521515468}, 'id': 4030556, 'name': 'Rikitea', 'cod': 200}, {'coord': {'lon': 147.33, 'lat': -42.88}, 'weather': [{'id': 521, 'main': 'Rain', 'description': 'shower rain', 'icon': '09d'}], 'base': 'stations', 'main': {'temp': 60.8, 'pressure': 1003, 'humidity': 41, 'temp_min': 60.8, 'temp_max': 60.8}, 'visibility': 10000, 'wind': {'speed': 25.28, 'deg': 270, 'gust': 17.5}, 'clouds': {'all': 75}, 'dt': 1521441000, 'sys': {'type': 1, 'id': 8195, 'message': 0.0043, 'country': 'AU', 'sunrise': 1521403904, 'sunset': 1521447865}, 'id': 2163355, 'name': 'Hobart', 'cod': 200}, {'coord': {'lon': 35.76, 'lat': 13.52}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01d'}], 'base': 'stations', 'main': {'temp': 81.07, 'pressure': 956.01, 'humidity': 23, 'temp_min': 81.07, 'temp_max': 81.07, 'sea_level': 1021.34, 'grnd_level': 956.01}, 'wind': {'speed': 2.37, 'deg': 187.501}, 'clouds': {'all': 0}, 'dt': 1521444002, 'sys': {'message': 0.0034, 'country': 'SD', 'sunrise': 1521430905, 'sunset': 1521474463}, 'id': 376332, 'name': 'Doka', 'cod': 200}, {'coord': {'lon': -5, 'lat': 5.24}, 'weather': [{'id': 801, 'main': 'Clouds', 'description': 'few clouds', 'icon': '02d'}], 'base': 'stations', 'main': {'temp': 76.75, 'pressure': 1014.13, 'humidity': 90, 'temp_min': 76.75, 'temp_max': 76.75, 'sea_level': 1023.24, 'grnd_level': 1014.13}, 'wind': {'speed': 4.94, 'deg': 237.501}, 'clouds': {'all': 20}, 'dt': 1521444002, 'sys': {'message': 0.003, 'country': 'CI', 'sunrise': 1521440672, 'sunset': 1521484250}, 'id': 2288105, 'name': 'Grand-Lahou', 'cod': 200}, {'coord': {'lon': 18.42, 'lat': -33.93}, 'weather': [{'id': 801, 'main': 'Clouds', 'description': 'few clouds', 'icon': '02d'}], 'base': 'stations', 'main': {'temp': 68, 'pressure': 1014, 'humidity': 72, 'temp_min': 68, 'temp_max': 68}, 'visibility': 10000, 'wind': {'speed': 17.22, 'deg': 180}, 'clouds': {'all': 20}, 'dt': 1521442800, 'sys': {'type': 1, 'id': 6529, 'message': 0.004, 'country': 'ZA', 'sunrise': 1521434928, 'sunset': 1521478718}, 'id': 3369157, 'name': 'Cape Town', 'cod': 200}, {'coord': {'lon': -72.68, 'lat': 19.45}, 'weather': [{'id': 500, 'main': 'Rain', 'description': 'light rain', 'icon': '10n'}], 'base': 'stations', 'main': {'temp': 69.37, 'pressure': 997.03, 'humidity': 100, 'temp_min': 69.37, 'temp_max': 69.37, 'sea_level': 1025.43, 'grnd_level': 997.03}, 'wind': {'speed': 3.49, 'deg': 75.5005}, 'rain': {'3h': 0.13}, 'clouds': {'all': 20}, 'dt': 1521444003, 'sys': {'message': 0.0034, 'country': 'HT', 'sunrise': 1521456922, 'sunset': 1521500493}, 'id': 3724696, 'name': 'Gonaives', 'cod': 200}, {'coord': {'lon': 108.75, 'lat': 50.36}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01d'}], 'base': 'stations', 'main': {'temp': 43.09, 'pressure': 912.64, 'humidity': 54, 'temp_min': 43.09, 'temp_max': 43.09, 'sea_level': 1039.45, 'grnd_level': 912.64}, 'wind': {'speed': 3.04, 'deg': 125.001}, 'clouds': {'all': 0}, 'dt': 1521444003, 'sys': {'message': 0.0037, 'country': 'RU', 'sunrise': 1521413418, 'sunset': 1521456969}, 'id': 2012349, 'name': 'Krasnyy Chikoy', 'cod': 200}, {'coord': {'lon': 100.46, 'lat': 38.94}, 'weather': [{'id': 802, 'main': 'Clouds', 'description': 'scattered clouds', 'icon': '03d'}], 'base': 'stations', 'main': {'temp': 48.85, 'pressure': 828.99, 'humidity': 91, 'temp_min': 48.85, 'temp_max': 48.85, 'sea_level': 1026.48, 'grnd_level': 828.99}, 'wind': {'speed': 5.5, 'deg': 33.0005}, 'clouds': {'all': 44}, 'dt': 1521444004, 'sys': {'message': 0.0039, 'country': 'CN', 'sunrise': 1521415408, 'sunset': 1521458938}, 'id': 1785036, 'name': 'Zhangye', 'cod': 200}, {'coord': {'lon': 19.24, 'lat': -34.42}, 'weather': [{'id': 500, 'main': 'Rain', 'description': 'light rain', 'icon': '10d'}], 'base': 'stations', 'main': {'temp': 60.19, 'pressure': 988.44, 'humidity': 96, 'temp_min': 60.19, 'temp_max': 60.19, 'sea_level': 1027.9, 'grnd_level': 988.44}, 'wind': {'speed': 3.6, 'deg': 128.501}, 'rain': {'3h': 0.105}, 'clouds': {'all': 76}, 'dt': 1521444004, 'sys': {'message': 0.004, 'country': 'ZA', 'sunrise': 1521434728, 'sunset': 1521478524}, 'id': 3366880, 'name': 'Hermanus', 'cod': 200}, {'coord': {'lon': -71.79, 'lat': -17.17}, 'weather': [{'id': 803, 'main': 'Clouds', 'description': 'broken clouds', 'icon': '04n'}], 'base': 'stations', 'main': {'temp': 70.18, 'pressure': 1024.26, 'humidity': 100, 'temp_min': 70.18, 'temp_max': 70.18, 'sea_level': 1024.7, 'grnd_level': 1024.26}, 'wind': {'speed': 4.5, 'deg': 104.501}, 'clouds': {'all': 80}, 'dt': 1521444005, 'sys': {'message': 0.0037, 'country': 'PE', 'sunrise': 1521456654, 'sunset': 1521500302}, 'id': 3931255, 'name': 'Punta de Bombon', 'cod': 200}, {'coord': {'lon': 115.35, 'lat': -33.64}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01d'}], 'base': 'stations', 'main': {'temp': 76.57, 'pressure': 1033.75, 'humidity': 80, 'temp_min': 76.57, 'temp_max': 76.57, 'sea_level': 1034.83, 'grnd_level': 1033.75}, 'wind': {'speed': 6.62, 'deg': 135.001}, 'clouds': {'all': 0}, 'dt': 1521444005, 'sys': {'message': 0.003, 'country': 'AU', 'sunrise': 1521411654, 'sunset': 1521455475}, 'id': 2075265, 'name': 'Busselton', 'cod': 200}, {'coord': {'lon': 31.67, 'lat': -21.05}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01d'}], 'base': 'stations', 'main': {'temp': 72.07, 'pressure': 980.82, 'humidity': 79, 'temp_min': 72.07, 'temp_max': 72.07, 'sea_level': 1027.37, 'grnd_level': 980.82}, 'wind': {'speed': 4.38, 'deg': 252.001}, 'clouds': {'all': 0}, 'dt': 1521444006, 'sys': {'message': 0.003, 'country': 'ZW', 'sunrise': 1521431806, 'sunset': 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10000, 'wind': {'speed': 4.7, 'deg': 100}, 'clouds': {'all': 40}, 'dt': 1521442800, 'sys': {'type': 1, 'id': 8340, 'message': 0.0128, 'country': 'CK', 'sunrise': 1521477764, 'sunset': 1521521415}, 'id': 4035715, 'name': 'Avarua', 'cod': 200}, {'coord': {'lon': -28.7, 'lat': 38.52}, 'weather': [{'id': 300, 'main': 'Drizzle', 'description': 'light intensity drizzle', 'icon': '09n'}, {'id': 701, 'main': 'Mist', 'description': 'mist', 'icon': '50n'}], 'base': 'stations', 'main': {'temp': 62.6, 'pressure': 1021, 'humidity': 93, 'temp_min': 62.6, 'temp_max': 62.6}, 'visibility': 4000, 'wind': {'speed': 6.93, 'deg': 270}, 'clouds': {'all': 75}, 'dt': 1521442800, 'sys': {'type': 1, 'id': 5950, 'message': 0.0034, 'country': 'PT', 'sunrise': 1521446373, 'sunset': 1521489957}, 'id': 3372707, 'name': 'Ribeira Grande', 'cod': 200}, {'coord': {'lon': 138.6, 'lat': -33.21}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01d'}], 'base': 'stations', 'main': {'temp': 74.32, 'pressure': 974.01, 'humidity': 46, 'temp_min': 74.32, 'temp_max': 74.32, 'sea_level': 1032, 'grnd_level': 974.01}, 'wind': {'speed': 11.21, 'deg': 222.501}, 'clouds': {'all': 0}, 'dt': 1521444010, 'sys': {'message': 0.0043, 'country': 'AU', 'sunrise': 1521406074, 'sunset': 1521449898}, 'id': 2069194, 'name': 'Jamestown', 'cod': 200}, {'coord': {'lon': 67.8, 'lat': 66.56}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01d'}], 'base': 'stations', 'main': {'temp': -13.61, 'pressure': 1006.43, 'humidity': 41, 'temp_min': -13.61, 'temp_max': -13.61, 'sea_level': 1010.88, 'grnd_level': 1006.43}, 'wind': {'speed': 3.38, 'deg': 343.501}, 'clouds': {'all': 0}, 'dt': 1521444156, 'sys': {'message': 0.0031, 'country': 'RU', 'sunrise': 1521423178, 'sunset': 1521466914}, 'id': 1512019, 'name': 'Aksarka', 'cod': 200}, {'coord': {'lon': -133.03, 'lat': 69.44}, 'weather': [{'id': 803, 'main': 'Clouds', 'description': 'broken clouds', 'icon': '04n'}], 'base': 'stations', 'main': {'temp': -7.61, 'pressure': 1016, 'humidity': 84, 'temp_min': -7.61, 'temp_max': -7.61}, 'wind': {'speed': 10.29, 'deg': 100}, 'clouds': {'all': 56}, 'dt': 1521439200, 'sys': {'type': 1, 'id': 3958, 'message': 0.0039, 'country': 'CA', 'sunrise': 1521471205, 'sunset': 1521515284}, 'id': 6170031, 'name': 'Tuktoyaktuk', 'cod': 200}, {'coord': {'lon': 10.27, 'lat': 13.98}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01d'}], 'base': 'stations', 'main': {'temp': 63.16, 'pressure': 974.33, 'humidity': 27, 'temp_min': 63.16, 'temp_max': 63.16, 'sea_level': 1021.5, 'grnd_level': 974.33}, 'wind': {'speed': 5.95, 'deg': 80.5005}, 'clouds': {'all': 0}, 'dt': 1521444156, 'sys': {'message': 0.0027, 'country': 'NE', 'sunrise': 1521437020, 'sunset': 1521480581}, 'id': 2444219, 'name': 'Goure', 'cod': 200}, {'coord': {'lon': -0.54, 'lat': 53.23}, 'weather': [{'id': 803, 'main': 'Clouds', 'description': 'broken clouds', 'icon': '04d'}], 'base': 'stations', 'main': {'temp': 32.23, 'pressure': 1017, 'humidity': 68, 'temp_min': 30.2, 'temp_max': 33.8}, 'visibility': 10000, 'wind': {'speed': 18.34, 'deg': 60}, 'clouds': {'all': 75}, 'dt': 1521442200, 'sys': {'type': 1, 'id': 5182, 'message': 0.0054, 'country': 'GB', 'sunrise': 1521439601, 'sunset': 1521483241}, 'id': 2644487, 'name': 'Lincoln', 'cod': 200}, {'cod': '404', 'message': 'city not found'}, {'coord': {'lon': -86.9, 'lat': 40.04}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01n'}], 'base': 'stations', 'main': {'temp': 37.06, 'pressure': 1012, 'humidity': 80, 'temp_min': 33.8, 'temp_max': 39.2}, 'visibility': 16093, 'wind': {'speed': 3.36, 'deg': 110}, 'clouds': {'all': 1}, 'dt': 1521442500, 'sys': {'type': 1, 'id': 1040, 'message': 0.0086, 'country': 'US', 'sunrise': 1521460324, 'sunset': 1521503938}, 'id': 4919381, 'name': 'Crawfordsville', 'cod': 200}, {'coord': {'lon': 100.72, 'lat': 14.23}, 'weather': [{'id': 801, 'main': 'Clouds', 'description': 'few clouds', 'icon': '02d'}], 'base': 'stations', 'main': {'temp': 92.23, 'pressure': 1009, 'humidity': 59, 'temp_min': 91.4, 'temp_max': 93.2}, 'visibility': 10000, 'wind': {'speed': 10.29, 'deg': 200}, 'clouds': {'all': 20}, 'dt': 1521441000, 'sys': {'type': 1, 'id': 7917, 'message': 0.0039, 'country': 'TH', 'sunrise': 1521415323, 'sunset': 1521458872}, 'id': 1605118, 'name': 'Wang Noi', 'cod': 200}, {'coord': {'lon': 15.06, 'lat': -13.73}, 'weather': [{'id': 804, 'main': 'Clouds', 'description': 'overcast clouds', 'icon': '04d'}], 'base': 'stations', 'main': {'temp': 60.28, 'pressure': 852.5, 'humidity': 100, 'temp_min': 60.28, 'temp_max': 60.28, 'sea_level': 1022.96, 'grnd_level': 852.5}, 'wind': {'speed': 3.94, 'deg': 339.001}, 'clouds': {'all': 92}, 'dt': 1521444159, 'sys': {'message': 0.0073, 'country': 'AO', 'sunrise': 1521435817, 'sunset': 1521479462}, 'id': 3351380, 'name': 'Caconda', 'cod': 200}, {'coord': {'lon': 139.9, 'lat': 69.3}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01d'}], 'base': 'stations', 'main': {'temp': -12.71, 'pressure': 969.95, 'humidity': 76, 'temp_min': -12.71, 'temp_max': -12.71, 'sea_level': 1044.56, 'grnd_level': 969.95}, 'wind': {'speed': 3.83, 'deg': 149.001}, 'clouds': {'all': 0}, 'dt': 1521444159, 'sys': {'message': 0.0039, 'country': 'RU', 'sunrise': 1521405907, 'sunset': 1521449600}, 'id': 2028164, 'name': 'Deputatskiy', 'cod': 200}, {'coord': {'lon': 138.6, 'lat': -33.21}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01d'}], 'base': 'stations', 'main': {'temp': 74.32, 'pressure': 974.01, 'humidity': 46, 'temp_min': 74.32, 'temp_max': 74.32, 'sea_level': 1032, 'grnd_level': 974.01}, 'wind': {'speed': 11.21, 'deg': 222.501}, 'clouds': {'all': 0}, 'dt': 1521444010, 'sys': {'message': 0.0043, 'country': 'AU', 'sunrise': 1521406074, 'sunset': 1521449898}, 'id': 2069194, 'name': 'Jamestown', 'cod': 200}, {'coord': {'lon': 81.82, 'lat': 7.42}, 'weather': [{'id': 801, 'main': 'Clouds', 'description': 'few clouds', 'icon': '02d'}], 'base': 'stations', 'main': {'temp': 85.39, 'pressure': 1010.48, 'humidity': 79, 'temp_min': 85.39, 'temp_max': 85.39, 'sea_level': 1025.67, 'grnd_level': 1010.48}, 'wind': {'speed': 7.74, 'deg': 37.5005}, 'clouds': {'all': 20}, 'dt': 1521444160, 'sys': {'message': 0.0041, 'country': 'LK', 'sunrise': 1521419846, 'sunset': 1521463413}, 'id': 1242110, 'name': 'Kalmunai', 'cod': 200}, {'coord': {'lon': -24.5, 'lat': 14.9}, 'weather': [{'id': 800, 'main': 'Clear', 'description': 'clear sky', 'icon': '01n'}], 'base': 'stations', 'main': {'temp': 70.45, 'pressure': 1015.02, 'humidity': 94, 'temp_min': 70.45, 'temp_max': 70.45, 'sea_level': 1026.77, 'grnd_level': 1015.02}, 'wind': {'speed': 16.02, 'deg': 42.5005}, 'clouds': {'all': 0}, 'dt': 1521444160, 'sys': {'message': 0.0036, 'country': 'CV', 'sunrise': 1521445362, 'sunset': 1521488927}, 'id': 3374210, 'name': 'Sao Filipe', 'cod': 200}]
# Build table for Temp, Humidity, Cloudiness, and Wind Speed
cities_df = pd.DataFrame()
cities_df['lat'] = ''
cities_df['long'] = ''
cities_df['temp'] = ''
cities_df['humidity'] = ''
cities_df['cloudiness'] = ''
cities_df['wind speed'] = ''
for index, row in enumerate(city_list_agg):
try:
cities_df.loc[index,'lat'] = city_list_agg[index]['coord']['lat']
cities_df.loc[index,'long'] = city_list_agg[index]['coord']['lon']
cities_df.loc[index,'temp'] = city_list_agg[index]['main']['temp']
cities_df.loc[index,'humidity'] = city_list_agg[index]['main']['humidity']
cities_df.loc[index,'cloudiness'] = city_list_agg[index]['clouds']['all']
cities_df.loc[index,'wind speed'] = city_list_agg[index]['wind']['speed']
except:
continue
cities_df = cities_df.reset_index()
cities_df.head()
<style>
.dataframe thead tr:only-child th {
text-align: right;
}
</style>
.dataframe thead th {
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}
| index | lat | long | temp | humidity | cloudiness | wind speed | |
|---|---|---|---|---|---|---|---|
| 0 | 1 | 60.91 | -46.05 | 46.4 | 36 | 20 | 21.92 |
| 1 | 3 | 78.22 | 15.63 | 3.2 | 59 | 20 | 24.16 |
| 2 | 4 | 5.43 | 7.07 | 78.8 | 88 | 75 | 4.05 |
| 3 | 5 | -22.46 | -68.93 | 48.2 | 49 | 0 | 14.99 |
| 4 | 6 | -23.58 | 149.07 | 91.42 | 42 | 0 | 9.08 |
# * Temperature (F) vs. Latitude
plt.scatter(cities_df['lat'], cities_df['temp'], marker="o", facecolors="red", edgecolors="black", alpha=0.75)
plt.title("City Latitude vs Temperature (3/19/2018)")
plt.ylabel("Temperature (F)")
plt.xlabel("Latitude")
plt.show()
# * Humidity (%) vs. Latitude
plt.scatter(cities_df['lat'], cities_df['humidity'], marker="o", facecolors="red", edgecolors="black", alpha=0.75)
plt.title("City Latitude vs Humidity (3/19/2018)")
plt.ylabel("Humidity (%)")
plt.xlabel("Latitude")
plt.show()
# * Cloudiness (%) vs. Latitude
plt.scatter(cities_df['lat'], cities_df['cloudiness'], marker="o", facecolors="red", edgecolors="black", alpha=0.75)
plt.title("City Latitude vs Cloudiness (3/19/2018)")
plt.ylabel("Cloudiness (%)")
plt.xlabel("Latitude")
plt.show()
# * Wind Speed (mph) vs. Latitude
plt.scatter(cities_df['lat'], cities_df['wind speed'], marker="o", facecolors="red", edgecolors="black", alpha=0.75)
plt.title("City Latitude vs Wind Speed (3/19/2018)")
plt.ylabel("Wind Speed (mph)")
plt.xlabel("Latitude")
plt.show()
Insights:
- The warmer temperature, 80 degrees F and above clusters between -20 and 20 latitude which is near the equator
- Low humidity o funder 20% is mostly clustered around 20 latitude.
- Around this time of the year, mid-March, most cities are above 60% in humidty.
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