pygtfs | A python library for GTFS | Web Services library
kandi X-RAY | pygtfs Summary
kandi X-RAY | pygtfs Summary
A python (2/3) library for GTFS
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pygtfs Key Features
pygtfs Examples and Code Snippets
sched = pygtfs.Schedule(":memory:") # create a schedule object (a sqlite database)
pygtfs.append_feed(sched, "sample-gtfs-feed.zip") # add the GTFS feed to the database
Community Discussions
Trending Discussions on pygtfs
QUESTION
I aim to "translate" GTFS files (non realtime) into directed graphs. Is there any API / tool that can do that easily ? I would like to create a graph per route in my GTFS, and then store it into a file.
So far I made a few tests using Python and pygtfs, or R and gtfsr, but none seems to be able to make that conversion.
...ANSWER
Answered 2019-Oct-24 at 08:23You can try peartree. Their websites says: "peartree is a library for converting GTFS feed schedules into a representative directed network graph."
QUESTION
I am trying to create a Alexa skill that tells me when the next train time is at my train station. I want to use a package called pygtfs which is a library that models information stored in Google's General Transit Feed Specification (GTFS) format. I have the files that process the json object sent from alexa and they work fine. I am having trouble making a zip deployment package to upload to aws lambda. I have a python script that creates a deployment package but I am getting an error. The error does not add the correct files to the deployment package.
...ANSWER
Answered 2017-Sep-20 at 11:32NVM i figured it out. The code I copied was using cp as the copy command for the subprocess. I looked up the command for my OS (windows 10) and it was COPY not cp. here is the new call to subprocess cmd = "COPY {0} {1}".format(deployment_file, os.path.abspath(deployment_dir)).split()
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Vulnerabilities
No vulnerabilities reported
Install pygtfs
You can use pygtfs 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.
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