Skip to main content

A Python library which acts as a wrapper for the WorldWeatherOnline API.

Project description

WorldWeatherPy

A Python library for the retrieval of historical weather data.

This library scrapes WorldWeatherOnline.com to collect historical weather data, returning a Pandas DataFrame. The DetermineListOfAttributes class returns all weather attributes available for retrieval through the WorldWeatherOnline.com API, whilst the HistoricalLocationWeather class retrieves an array of typically required weather attributes. The RetrieveByAttribute class can be used to request specific weather attributes, or a list of specific weather attributes, as available through the DetermineListOfAttributes class.

Installation

From Python:

pip install WorldWeatherPy
from WorldWeatherPy import DetermineListOfAttributes
from WorldWeatherPy import HistoricalLocationWeather
from WorldWeatherPy import RetrieveByAttribute

Usage

If you are unsure of the available weather attributes:

pip install WorldWeatherPy
from WorldWeatherPy import DetermineListOfAttributes
attributes = DetermineListOfAttributes(api_key, True).retrieve_list_of_options()

Returns a list containing all available weather attributes. If 'verbose' is set to True, this will be printed within the function call.

If you would like to retrieve standard weather attributes:

pip install WorldWeatherPy
from WorldWeatherPy import HistoricalLocationWeather
dataset = HistoricalLocationWeather(api_key, city, start_date, end_date, frequency).retrieve_hist_data()

Returns a Pandas DataFrame 'dataset', which contains an array of weather attributes for the given city, between the start and end dates specified, with hourly frequency, indexed by date and time.

If you would like to retrieve specific weather attributes:

pip install WorldWeatherPy
from WorldWeatherPy import RetrieveByAttribute
dataset = RetrieveByAttribute(api_key, attribute_list, city, start_date, end_date, frequency).retrieve_hist_data()

Returns a Pandas DataFrame 'dataset', which contains a list of pre-specified weather attributes for the given city, between the start and end dates specified, with hourly frequency, indexed by date and time.

Input Arguments

Argument Description
api_key the API key obtained from https://www.worldweatheronline.com/developer/. (str)
attribute_list a list of weather attributes to collect. (list)
city a city for which to retrieve data. (str).
start_date a string in the format YYYY-MM-DD (str).
end_date a string in the format YYYY-MM-DD (str).
frequency the frequency of extracted data, measured in hours. (int)
verbose boolean determining printing during data extraction. (bool) [Default = True]
csv_directory an optional file directory to store the output. (os directory) [Default = None]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

WorldWeatherPy-0.0.2.tar.gz (6.2 kB view details)

Uploaded Source

Built Distribution

WorldWeatherPy-0.0.2-py3-none-any.whl (9.7 kB view details)

Uploaded Python 3

File details

Details for the file WorldWeatherPy-0.0.2.tar.gz.

File metadata

  • Download URL: WorldWeatherPy-0.0.2.tar.gz
  • Upload date:
  • Size: 6.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for WorldWeatherPy-0.0.2.tar.gz
Algorithm Hash digest
SHA256 2554c31e53de8c43a464985472d2e98aad9dfe0888b6133ee012f0515f7aa688
MD5 c5ba7b78b2dcba716b81e750bc7a98a2
BLAKE2b-256 ce5f4ccead1c8cea2adcabc49063e656eecaf23a85f7db299d8f796708861bb3

See more details on using hashes here.

File details

Details for the file WorldWeatherPy-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: WorldWeatherPy-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 9.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for WorldWeatherPy-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 1afd37e44b68b50053942f630fedb02dfb64e9c41f65b7ffc2c8d60d43138f80
MD5 47ea1985de42f26b4791308b3a93cd02
BLAKE2b-256 0e1f70a59b60a5d9cb3d60ed8e12dd899d4f285786d9ad60c218131768894a7c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page