Skip to main content

Snap points to a line string keeping a given order intact

Project description

PySnapping

Snap points to a line string keeping a given order or spacing intact.

The PySnapping python library helps to solve the problem of snapping an ordered sequence of points to a line string, respecting the given input order.

The motivation for this library is to solve the problem of snapping stops onto vehicle trajectories in the GTFS format with inaccurate or missing kilometrage.

In order to be able to work with metric parameters and to treat data with large extent located anywhere on the world, we use the EPSG:4978 Cartesian 3D geocentric coordinate system for the internal representation.

The library aims to automatically classify kilometrage information as trusted or untrusted and fills missing data and corrects bogus data by interpolation/extrapolation if possible. Trusted points are always snapped as given by the kilometrage. In between trusted points, an approximate iterative scheme is used to snap all untrusted points such that the order or minimum spacing conditions are not violated.

Installation

Install the latest stable release from PyPI with pip:

pip install pysnapping

Modules

Linear Referencing

The pysnapping.linear_referencing module contains low-level classes and functions for referencing points along linear features in N-dimensions built on top of numpy. This contains interpolation/extrapolation along a line string and data structures optimized for projecting points to substrings of a line string.

Ordering

The pysnapping.ordering module contains functions to check and fix the order of a sequence of floats, respecting certain boundary conditions and spacings using the method of quadratic programming with the cvxpy library.

Utils

The pysnapping.util module contains common helper functions used in other parts of the library.

Snapping

The pysanpping.snap module is the main entry point for users of the pysnapping library and provides the classes needed to use the library.

Usage

The typical usage pattern is to create a pysnapping.snap.DubiousTrajectory instance which represents a vehicle trajectory with dubious kilometrage and a pysnapping.snap.DubiousTrajectoryTrip dtrip which represents a trip along such a trajectory with dubious kilometrage for the stops and dubious timing information. Then dtrip.to_trajectory_trip can be used to get a pysnapping.snap.TrajectorTrip trip with well defined metric kilometrage. trip.trajectory then refers to a pysnapping.snap.Trajectory instance with well defined metric kilometrage. The conversion can be controlled with parameters given by a pysnapping.snap.SnappingParams instance.

The trip.snap_trip_points method can be used to snap the trip points onto the trajectory, resulting in a pysnapping.snap.SnappedTripPoints instance snapped. Then you can e.g. split the trajectory at the stops using the snapped.get_inter_point_ls_coords_in_travel_direction method.

A more detailed usage example (e.g. how to process GTFS input) is planned but not available yet. Until then, please also check the docstrings and source code for additional usage hints/possibilities.

Issue Tracker

Please use the GitHub issue tracker to report bugs/issues.

Development

Contributing

If you want to contribute to the pysnapping library, you can make a pull request at GitHub. Before working on major features/changes, please consider contacting us about your plans. See our GitHub page for contact details.

Editable Installation

Clone this repo and enter the corresponding directory. Create a virtual environment, then install frozen requirements, dev-requirements and this library in editable mode:

python3.7 -m venv env
. env/bin/activate
pip install -U pip
pip install -r requirements.txt -r dev-requirements.txt -e .

Keep env activated for all following instructions.

Pre-Commit Hooks

Enable pre-commit hooks:

pre-commit install

From time to time (not automated yet) run

pre-commit autoupdate

to update frozen revs.

Run tests

Run tests and analyze code coverage:

pytest --cov=pysnapping --cov-report term --cov-fail-under=85 pysnapping

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

pysnapping-0.1.0.tar.gz (44.4 kB view hashes)

Uploaded Source

Built Distribution

pysnapping-0.1.0-py3-none-any.whl (42.6 kB view hashes)

Uploaded Python 3

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