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https://github.com/adonmo/trajectory

A python library for lossy compression/serialization of trajectory data based on Google's Encoded Polyline Algorithm Format
https://github.com/adonmo/trajectory

compression geospatial gis mobility serialization spatiotemporal trajectory

Last synced: 2 months ago
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A python library for lossy compression/serialization of trajectory data based on Google's Encoded Polyline Algorithm Format

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trajectory
============

``trajectory`` is a library for lossy compression of trajectory data based on Google's Encoded Polyline Algorithm Format (http://goo.gl/PvXf8Y). It is heavily based on (in fact forked from) https://github.com/hicsail/polyline.

Installation
============

``trajectory`` can be installed using ``pip`` or ``easy_install``

.. code-block:: sh

$ pip install trajectory
or
$ easy_install trajectory

API Documentation
=================

Encoding
--------

To serialize a trajectory (set of (lat, lon, unix time in seconds) tuples)

.. code-block:: py

import trajectory
trajectory.encode([
(38.500, -120.200, 1582482601),
(40.700, -120.950, 1582482611),
(43.252, -126.453, 1582482627)
], 5)

This should return ``_p~iF~ps|U_ynpijgz~G_ulLnnqC_c`|@_mqNvxq`@__t`B``.

You can set the required precision with the optional ``precision`` parameter. The default value is 5.

Decoding
--------

To deserialize a trajectory (set of (lat, lon, unix time in seconds) tuples) represented by an encoded string

.. code-block:: py

import trajectory
trajectory.decode('_p~iF~ps|U_ynpijgz~G_ulLnnqC_c`|@_mqNvxq`@__t`B', 5)

This should return the following:

.. code-block:: py

[
(38.500, -120.200, 1582482601),
(40.700, -120.950, 1582482611),
(43.252, -126.453, 1582482627)
]

You can set the required precision with the optional ``precision`` parameter. The default value is 5.

Development
===========

Setup Dependencies
------------------

.. code-block:: sh

$ poetry install

Running Tests
-------------

.. code-block:: sh

$ poetry run pytest

Contributing
------------

Issues and pull requests are welcome.

* For proposing new features/improvements or reporting bugs, `create an issue `_.
* Check `open issues `_ for viewing existing ideas, verify if it is already proposed/being worked upon.
* When implementing new features make sure to add relavant tests and documentation before sending pull requests.