Python package to quickly and easily get public transport access node data from the UK's NaPTAN API.
Get, view, and map NaPTAN data.
The package's functions return the data from the NaPTAN API as a pandas.DataFrame. This allows the data to be easily filtered, queried and manipulated. Once you have the data, you can export the data as a geoJSON, or view it via an interactive map.
"""
Example code to view all the NaPTAN stops within Leicester and
Leicestershire on a map in the browser.
"""
import naptan
# get data as a dataframe
# 260 is Leicestershire and 269 is Leicester
leics_stops = naptan.get_area_stops(['260', '269'])
# View the stops in the browser on an interactive map.
naptan.view_map(leics_stops)
The latest release can be installed with:
$ pip install naptan
All documentation, tutorials, API reference etc can be found at the package's site: https://mullinscr.github.io/naptan/
MIT. See LICENSE.txt.
National public transport access nodes (NaPTAN) is a national dataset of all public transport 'stops' in England, Scotland and Wales. Bus stops form the vast majority of the dataset; but there is data on tram, metro, tube, rail, ferry and air services too.
Included in the dataset, along with the unique identifiers, is common name, locality, stop type, bearing of onward travel, and status (active, inactive or pending).
More information can be found on the UK government's website:
FAQs
Python package to quickly and easily get public transport access node data from the UK's NaPTAN API.
We found that naptan demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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