gtfs_data_pipeline | downloading GTFS data and creating city

by CxAalto Python Version: data_paper_v1.2 License: MIT

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kandi X-RAY | gtfs_data_pipeline Summary

gtfs_data_pipeline is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. gtfs_data_pipeline has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However gtfs_data_pipeline build file is not available. You can download it from GitHub.

This repository contains code for automated downloading and storage of GTFS data, and the subsequent processing of the GTFS data into public transport network extracts covering individual cities. This pipeline was used to reproduce data depositoted in Zenodo (and described in paper The two main steps of this process are.

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gtfs_data_pipeline has a low active ecosystem.

It has 10 star(s) with 4 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

gtfs_data_pipeline has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gtfs_data_pipeline is data_paper_v1.2

Quality

gtfs_data_pipeline has no bugs reported.

Security

gtfs_data_pipeline has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

gtfs_data_pipeline is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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gtfs_data_pipeline releases are available to install and integrate.

gtfs_data_pipeline has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed gtfs_data_pipeline and discovered the below as its top functions. This is intended to give you an instant insight into gtfs_data_pipeline implemented functionality, and help decide if they suit your requirements.

Runs the full database without deployment
Import old feeds into raw db
Creates the data extraction tables
Write the city notes
Creates a filter extract
Plot static networks
Returns a pandas csv file
Get the list of feeds from to_publish_tuple
Reads the nodes in the pipeline
Write complete feed status
Return a generator that yields all sub - feeds to publish
Get all required subfeeds
Get a dictionary of subfeeds from a yaml file
Create the extraction files
Calculate the statistics for all trips
Download files from gtFS
Return a list of datetime objects
Print the dates for a city
Import old feeds into raw db
Returns a list of datetime objects
Get the base log file
Generates a generator of to_to_pubs
Plots the routes for the given city
Plot event distributions
Plot the map on the map
Create license files
Deploy feednetworks to a local transport network
Calculate statistics for all trips
Assert that all files exist in the output directory
Create a filter from the main DB
Writes the city notes file
Plots the start and download dates per day

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gtfs_data_pipeline Key Features

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gtfs_data_pipeline Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install gtfs_data_pipeline

You can download it from GitHub.
You can use gtfs_data_pipeline like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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