wwo-hist 0.0.7

This package is used to retrieve and transform historical weather data from www.worldweatheronline.com into pandas dataframe and csv.

WorldWeatherOnline historical weather data API wrapper

This package is used to retrieve and transform historical weather data from www.worldweatheronline.com into pandas dataframe and csv.

You can get API key for free (free trial 500 requests/key/day for 60 days, as of 30-May-2019).

example API explorer: https://www.worldweatheronline.com/developer/premium-api-explorer.aspx

Input: api_key, location_list, start_date, end_date, frequency

Output: location_name.csv

Output column names: date_time, maxtempC, mintempC, totalSnow_cm, sunHour, uvIndex, uvIndex, moon_illumination, moonrise, moonset, sunrise, sunset, DewPointC, FeelsLikeC, HeatIndexC, WindChillC, WindGustKmph, cloudcover, humidity, precipMM, pressure, tempC, visibility, winddirDegree, windspeedKmph

Install the package:

pip install wwo-hist

Import package

from wwo_hist import retrieve_hist_data

Set working directory to store output csv file(s)

import os
os.chdir(".\YOUR_PATH")

Example code

frequency=3
start_date = '11-DEC-2018'
end_date = '11-MAR-2019'
api_key = 'YOUR_API_KEY'
location_list = ['singapore','california']

hist_weather_data = retrieve_hist_data(api_key,
                                location_list,
                                start_date,
                                end_date,
                                frequency,
                                location_label = False,
                                export_csv = True,
                                store_df = True)

Parameters:

api_key: string

(Premium/ free trial) API key from https://www.worldweatheronline.com/developer/api/

location_list: list of string

US Zipcode, UK Postcode, Canada Postalcode, IP address, Latitude/Longitude (decimal degree) or city name

start_date: string

Preferred date format: 'dd-mmm-yyyy'

end_date: string

Preferred date format: 'dd-mmm-yyyy'

frequency: integer

1, 3, 6, 12, 24

1 hourly, 3 hourly, 6 hourly, 12 hourly (day/night) or 24 hourly (day average)

location_label: bool, default = False

If True, all column names will have city name as prefix.

export_csv: bool, default = True

If False, no csv file will be exported to current directory.

store_df: bool, default = False

If True, retrieved dataframe(s) will be stored as list in the work space.

Console view

Output file