rosbags-dataframe 0.9.1

Python library to convert ros message streams to pandas dataframes.

Rosbags-dataframe

Rosbags-dataframe a python library to ease the create of pandas dataframes from rosbag messages. It is part of the larger Rosbags ecosystem.

Rosbags-dataframe does not have any dependencies on the ROS software stacks and can be used on its own or alongside ROS1 or ROS2.

Getting started

Rosbags-dataframe is published on PyPI and does not have any special dependencies. Simply install with pip:

pip install rosbags-dataframe

Get a dataframe from a rosbag:

from pathlib import Path

from rosbags.dataframe import get_dataframe
from rosbags.highlevel import AnyReader

with AnyReader([Path('test1.bag'), Path('test2.bag')]) as reader:
    dataframe = get_dataframe(reader, '/gps', ['latitude', 'longitude'])

Documentation

Read the documentation for further information.

Contributing

Thank you for considering to contribute to rosbags-dataframe.

To submit issues or create merge requests please follow the instructions provided in the contribution guide.

By contributing to rosbags-dataframe you accept and agree to the terms and conditions laid out in there.

Development

Clone the repository and setup your local checkout:

git clone https://gitlab.com/ternaris/rosbags-dataframe.git

cd rosbags-dataframe
python -m venv venv
. venv/bin/activate

pip install -r requirements-dev.txt
pip install -e .

This creates a new virtual environment with the necessary python dependencies and installs rosbags-dataframe in editable mode. The rosbags-dataframe code base uses pytest as its test runner, run the test suite by simply invoking:

pytest

To build the documentation from its source run sphinx-build:

sphinx-build -a docs public

The entry point to the local documentation build should be available under public/index.html.

Support

Professional support is available from Ternaris.