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https://github.com/glotzerlab/parsnip

Minimal library for parsing CIF files in Python.
https://github.com/glotzerlab/parsnip

Last synced: 5 months ago
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Minimal library for parsing CIF files in Python.

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README

          

.. _images:

.. image:: https://raw.githubusercontent.com/glotzerlab/parsnip/refs/heads/main/doc/source/_static/parsnip_header_dark.svg
:width: 600

.. _header:

|ReadTheDocs|
|PyPI|
|conda-forge|

.. |ReadTheDocs| image:: https://readthedocs.org/projects/parsnip-cif/badge/?version=latest
:target: http://parsnip-cif.readthedocs.io/en/latest/?badge=latest
.. |PyPI| image:: https://img.shields.io/pypi/v/parsnip-cif.svg
:target: https://pypi.org/project/parsnip-cif/
.. |conda-forge| image:: https://img.shields.io/conda/vn/conda-forge/parsnip-cif.svg
:target: https://anaconda.org/conda-forge/parsnip-cif

.. _introduction:

**parsnip** is a minimal Python library for parsing `CIF `_ files. While its primary focus is on simplicity and portability, performance-oriented design choices are made where possible.

.. _parse:

Importing ``parsnip`` allows users to read `CIF 1.1 `_ files, as well as many features from the `CIF 2.0 `_ and `mmCIF `_ formats.
Creating a `CifFile`_ object provides easy access to name-value `pairs`_, as well
as `loop\_`-delimited `loops`_. Data entries can be extracted as python primitives or
numpy arrays for further use.

.. _CifFile: https://parsnip-cif.readthedocs.io/en/latest/package-parse.html#parsnip.parsnip.CifFile
.. _pairs: https://parsnip-cif.readthedocs.io/en/latest/package-parse.html#parsnip.parsnip.CifFile.pairs
.. _loops: https://parsnip-cif.readthedocs.io/en/latest/package-parse.html#parsnip.parsnip.CifFile.loops

.. _installing:

Setup
-----

**parsnip** may be installed with **pip** or from **conda-forge**.

Installation via pip
^^^^^^^^^^^^^^^^^^^^

.. code:: bash

python -m pip install parsnip-cif

Installation via conda-forge
^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code:: bash

conda install -c conda-forge parsnip-cif

Installation from source
^^^^^^^^^^^^^^^^^^^^^^^^

First, clone the repository:

.. code:: bash

git clone https://github.com/glotzerlab/parsnip.git
cd parsnip

Then, choose one of the following. While **parsnip** is only dependent on Numpy,
additional dependencies are required to run the tests and build the docs.

.. code:: bash

pip install . # Install with no additional dependencies
pip install .[sympy] # Install with sympy for symbolic unit cell math
pip install .[tests] # Install with dependencies required to run tests (including sympy)
pip install .[tests,doc] # Install with dependencies required to run tests and make docs

Dependencies
^^^^^^^^^^^^

.. code:: text

numpy>=1.19
more-itertools

.. _contributing: