Distance Printer, calculate the inter atomic distances. Part of xPDFsuite
Project description
Distance Printer, calculate the inter atomic distances. Part of xPDFsuite
Citation
If you use diffpy.distanceprinter in a scientific publication, we would like you to cite this package as
Xiaohao Yang, Pavol Juhas, Christopher L. Farrow and Simon J. L. Billinge, xPDFsuite: an end-to-end software solution for high throughput pair distribution function transformation, visualization and analysis, arXiv 1402.3163 (2025)
Installation
The preferred method is to use Miniconda Python and install from the “conda-forge” channel of Conda packages.
To add “conda-forge” to the conda channels, run the following in a terminal.
conda config --add channels conda-forge
We want to install our packages in a suitable conda environment. The following creates and activates a new environment named diffpy.distanceprinter_env
conda create -n diffpy.distanceprinter_env diffpy.distanceprinter conda activate diffpy.distanceprinter_env
The output should print the latest version displayed on the badges above.
If the above does not work, you can use pip to download and install the latest release from Python Package Index. To install using pip into your diffpy.distanceprinter_env environment, type
pip install diffpy.distanceprinter
If you prefer to install from sources, after installing the dependencies, obtain the source archive from GitHub. Once installed, cd into your diffpy.distanceprinter directory and run the following
pip install .
This package also provides command-line utilities. To check the software has been installed correctly, type
diffpy.distanceprinter --version
You can also type the following command to verify the installation.
python -c "import diffpy.distanceprinter; print(diffpy.distanceprinter.__version__)"
To view the basic usage and available commands, type
diffpy.distanceprinter -h
Support and Contribute
If you see a bug or want to request a feature, please report it as an issue and/or submit a fix as a PR.
Feel free to fork the project and contribute. To install diffpy.distanceprinter in a development mode, with its sources being directly used by Python rather than copied to a package directory, use the following in the root directory
pip install -e .
To ensure code quality and to prevent accidental commits into the default branch, please set up the use of our pre-commit hooks.
Install pre-commit in your working environment by running conda install pre-commit.
Initialize pre-commit (one time only) pre-commit install.
Thereafter your code will be linted by black and isort and checked against flake8 before you can commit. If it fails by black or isort, just rerun and it should pass (black and isort will modify the files so should pass after they are modified). If the flake8 test fails please see the error messages and fix them manually before trying to commit again.
Improvements and fixes are always appreciated.
Before contributing, please read our Code of Conduct.
Getting Started
You may consult our online documentation for tutorials and API references.
Contact
For more information on diffpy.distanceprinter please visit the project web-page or email Simon J.L. Billinge Group at sb2896@columbia.edu.
Acknowledgements
diffpy.distanceprinter is built and maintained with scikit-package.
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