================= BicycleParameters

A Python program designed to generate, manipulate, and visualize the parameters of the Whipple-Carvallo bicycle model.

.. list-table::

• • Download from PyPi
    • |PyPi|
• • Download from Anaconda
    • |Anaconda|
• • Documentation
    • |RTD|
• • CI Status
    • |GHCI|
• • Render App
    • |Render|

.. |PyPi| image:: https://img.shields.io/pypi/v/BicycleParameters.svg :target: https://pypi.org/project/BicycleParameters/

.. |Anaconda| image:: https://anaconda.org/conda-forge/bicycleparameters/badges/version.svg :target: https://anaconda.org/conda-forge/bicycleparameters

.. |GHCI| image:: https://github.com/moorepants/BicycleParameters/actions/workflows/test.yml/badge.svg

.. |RTD| image:: https://readthedocs.org/projects/bicycleparameters/badge/?version=latest :target: https://bicycleparameters.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status

.. |Render| image:: https://img.shields.io/badge/Bicycle_Dynamics_App-Render.io-blue :target: https://bicycle-dynamics.onrender.com

Dependencies

Required

• DynamicistToolKit >= 0.5.3 <http://pypi.python.org/pypi/DynamicistToolKit>_
• Matplotlib >= 3.5.1 <https://matplotlib.org/>_
• NumPy >= 1.21.5 <https://numpy.org/>_
• Python >= 3.8 <http://www.python.org/>_
• SciPy >= 1.8.0 <https://scipy.org/>_
• Uncertainties >= 3.1.5 <https://pythonhosted.org/uncertainties/>_
• yeadon >= 1.3.0 <http://pypi.python.org/pypi/yeadon/>_

Optional

These are required to run the Dash web application:

• Dash >= 2.0 <https://plotly.com/dash/>_
• dash-bootstrap-components <https://github.com/facultyai/dash-bootstrap-components>_
• Pandas >= 1.3.5 <https://pandas.pydata.org/>_

These are required to build the documentation:

• Sphinx >= 4.3.2 <http://sphinx.pocoo.org/>_
• Numpydoc >= 1.2 <http://pypi.python.org/pypi/numpydoc>_

Installation

We recommend installing BicycleParameters with conda or pip.

.. _conda: https://docs.conda.io .. _pip: https://pip.pypa.io

For conda::

$ conda install -c conda-forge bicycleparameters

For pip::

$ pip install BicycleParameters

The package can also be installed from the source code. The options for getting the source code are:

1. Clone the source code with Git: git clone git://github.com/moorepants/BicycleParameters.git
2. Download the source from Github__.
3. Download the source from pypi__.

.. : https://github.com/moorepants/BicycleParameters .. : http://pypi.python.org/pypi/BicycleParameters

Once you have the source code navigate to the directory and run::

python setup.py install

This will install the software into your system. You can check if it installs with::

$ python -c "import bicycleparameters"

Example Code

.. code-block:: python

>>> import bicycleparameters as bp
>>> import numpy as np
>>> rigid = bp.Bicycle('Rigid')
>>> par = rigid.parameters['Benchmark']
>>> rigid.plot_bicycle_geometry()
>>> speeds = np.linspace(0., 10., num=100)
>>> rigid.plot_eigenvalues_vs_speed(speeds)

Sample Data

Some sample data is included in the repository but a full source with all the raw data files can be downloaded from here:

http://dx.doi.org/10.6084/m9.figshare.1198429

Documentation

Please refer to the online documentation <https://bicycleparameters.readthedocs.io/>_ for more information.

Grant Information

This material is partially based upon work supported by the National Science Foundation under Grant No. 0928339_. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

.. _Grant No. 0928339: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0928339

This material is partially based upon work supported by the TKI CLICKNL grant "Fiets van de Toekomst"(Grant No. TKI1706).