elastica-pipelines 0.2.0

Elastica Pipelines

Elastica Pipelines

Features

IO

• Lazy loading of simulation time-series data generated by Elastica++ applications
• Track a single, or a subset, or whole group of rods, over time using familiar slicing API

Installation

You can install Elastica Pipelines via pip from PyPI:

$ pip install elastica-pipelines

Usage

Please see the Command-line Reference for details.

IO

from elastica_pipelines import io

# ...

# Read only access to data written by Elastica++
series = io.series(metadata="elastica_metadata.h5")

# use series like a python Mapping
for t, snapshot in series.iterations():
    print("Iteration: {0} at time {1}".format(t.iterate, t.time))

    # Snapshot is a mapping contain system types such as CosseratRods & Spheres
    # Here we access only cosserat rods
    for rod_id, rod in snapshot.cosserat_rods().items(): # snapshot['CosseratRod'] also works!
        if rod_id == 0:
            print("  Rod '{0}' attributes:".format(rod_id))
            # even rod is a Mapping, get its keys
            print("  {0}".format(list(rod.keys())))
        print("  Rod '{0}' position:".format(rod_id), rod['Position'])

Contributing

Contributions are very welcome. To learn more, see the Contributor Guide.

License

Distributed under the terms of the MIT license, Elastica Pipelines is free and open source software.

Issues

If you encounter any problems, please file an issue along with a detailed description.

Credits

This project was generated from @cjolowicz's Hypermodern Python Cookiecutter template.