Installation

Stable release

To install Distributed Trajectories, run this command in your terminal:

$ pip install distributed_trajectories

This is the preferred method to install Distributed Trajectories, as it will always install the most recent stable release.

If you don’t have pip installed, this Python installation guide can guide you through the process.

From sources

The sources for Distributed Trajectories can be downloaded from the Github repo.

  1. clone the public repository:

    $ git clone git://github.com/raalesir/distributed_trajectories

  2. create a Python virtual environment

    $ cd distributed_trajectories/distributed_trajectories && python3 -m venv taxi

  3. activate the venv. Check which python to point to the current directory.

    $ source taxi/bin/activate

  4. install dependencies:

    $ pip3  install  -r requirements.txt

Project structure

Once cloned, the repo structure should look like:

❯ tree -L 2
.
├── AUTHORS.rst
├── CONTRIBUTING.rst
├── HISTORY.rst
├── LICENSE
├── MANIFEST.in
├── Makefile
├── README.rst
├── data                   //small sample of data, 10 random trajectories
│   └── data.tar.gz
├── distributed_trajectories        // main package
│   ├── OD.py
│   ├── TM.py
│   ├── __init__.py
│   ├── cli.py
│   ├── consts.py
│   ├── distributed_trajectories.py
│   └── udfs.py
├── docs                        // documentation  source
│   ├── Makefile
│   ├── authors.rst
│   ├── conf.py
│   ├── contributing.rst
│   ├── history.rst
│   ├── index.rst
│   ├── installation.rst
│   ├── make.bat
│   ├── modules.rst
│   ├── readme.rst
│   └── usage.rst
├── requirements.txt
├── requirements_dev.txt
├── setup.cfg
├── setup.py
├── tests                           // tests  to run
│   ├── __init__.py
│   └── test_udfs.py
└── tox.ini