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

Project description

WorldWeatherOnline historical weather data API wrapper

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

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

example API explorer:

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

Input: api_key, location_list, start_date, end_date, frequency

Output: location_name.csv

Example code

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_label = False,
                                export_csv = True,
                                store_df = True)


api_key: string
(Premium/ free trial) API key from

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.

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