Skip to main content

pydidas - the PYthon DIffraction Data Analysis Suite

Project description

pydidas

zenodo badge

pydidas (an acronym for the Python diffraction data analysis suite) is a toolkit for the analysis of X-ray diffraction datasets. It is designed to be accessible also for users with little experience in diffraction data analysis in order to broaden the user base of diffraction techniques and to make diffraction analysis more accessible for domain scientists.

Pydidas includes a graphical user interface and a command line interface to embed its functionality in other projects or scripts.

References

  • Please check the citation file CITATION.cff
  • Pydidas has also been issued with a global DOI for citations: 10.5281/zenodo.7568610
    zenodo badge

Installation

Pydidas should be installed in a clean environment to allow pydidas to fix the required dependency versions. This environment should be used exclusively for pydidas and no further packages should be installed.

Pydidas requires a Python version >= 3.11. Note that pydidas has not yet been tested extensively with Python 3.13.

Preparing the environment

Environments can be managed using any environment manager (e.g. venv, conda/mamba). Due to dependency management issues, pydidas does not support pre-configured conda/mamba environments anymore but relies exclusively on pip for the dependency management.

Pip will install all dependencies together with the pydidas package. There is no need to prepare the environment further.

Building and installing pydidas

You will require a pydidas wheel file to install it using pip. If you have not downloaded a build wheel file, you need to prepare one prior to installation.

Using pip

Pydidas is available on PyPI and can be installed simply with

python -m pip install pydidas

Using a python wheel

Wheels for pydidas are available on the pydidas releases webpage. To install a downloaded wheel, activate your chosen environment and use the following command:

python -m pip install <path_to_pydidas_wheel_file.whl>

Using the source code directly

Download the pydidas source code or clone the git repository and navigate to the folder with the project metadata files (like this README.md). Then, install the package and any missing dependencies:

python -m pip install .

Note that pip might need to build a wheel from pydidas first which will take some time. If you want to build the wheel manually, for example to keep it for later use, simply use the following commands (again, in the pydidas folder)::

python -m build

This will create a tarball and a wheel file in the dist subdirectory.

Note: You will need to install the build and setuptools packages manually in your chosen environment if you want to build pydidas from source.

Using pydidas

Entry points

If installed as wheel, pydidas offers the following entry points:

  • pydidas-gui to start the graphical user interface.
  • pydidas-documentation to open the pydidas documentation in the default system web browser. Note: The pydidas module must have been run at least once (either through opening the GUI or imported in a python shell) for the documentation to have been created.
  • pydidas-clear-settings Remove the stored registry keys for pydidas.
  • pydidas-updater Start a script which automatically updates pydidas to the latest version available on GitHub.
  • pydidas-remove-local-files This script removes all local log files and stored configuration files.
  • run-pydidas-workflow Script to run a defined workflow in the console. This script also requires configuration files for the scan and diffraction experiment. Please refer to the full documentation for more details.
  • remove-pydidas Remove all local config files and registry settings from the system. Please note that this script will not remove the python code itself, but only cleans up the system.

Scripts

Pydidas includes multiple scripts which are located in the src/pydidas_scripts folder. These can be called directly by python from the command line and they are:

  • pydidas_gui.py to start the GUI.
  • pydidas_documentation.py to open the html documentation in a browser.
  • run_pydidas_workflow.py to run a processing workflow on the command line.
  • pydidas_updater_script.py to update pydidas to the latest release published on GitHub.
  • clear_local_settings.py to remove all registry settings written by pydidas.

Command line

Much of pydidas' functionality is also available from the command line or notebooks. Pydidas can be imported and used as any other python module. Please refer to the documentaion for more details (see the section below on how to access the documentation).

Documentation

Local documentation

The documentation is included with the distribution, but only in form of the source to keep the distribution small. It will be compiled automatically the first time pydidas is imported in python. This will take some time (about 30 seconds, depending on the system) and a notification will be displayed.

The compiled documentation can be found in the lib/site-packages/pydidas/sphinx/html folder and the index.html file is the global start page.

A pydidas-documentation entrypoint is available to open the documentation in the system's default browser.

The graphical user interface also has a menu entry to open the help in a web browser. Pressing F1 in the graphical user interface will also open the help in the system's default webbrowser.

Online documentation

The pydidas documentation is also available online through github-pages: https://hereon-gems.github.io/pydidas/

Referencing pydidas

For the full citation information of pydidas, please see the CITATION.cff file.

Pydidas can also be cited by its global DOI on zenodo: 10.5281/zenodo.7568610
zenodo badge

License

The pydidas source code is released under the GNU General Public License Version 3. The documentation is licensed under the Creative Commons Attribution 4.0 International Public License (CC-BY-4.0). Images and logos are licensed under Creative Commons Attribution-NoDerivatives 4.0 International Public License (CC-BY-ND-4.0). Insignificant files (e.g. changelog) are released under the CC0 1.0 Universal Public Domain Dedication (CC0-1.0).

Acknolwedgements

pydidas is developed at Helmholtz-Zentrum Hereon and the development is supported by DAPHNE4NFDI.

The (azimuthal/radial) integration uses the pyFAI engine for fast azimuthal integration. Some widgets are extensions of silx widgets. Both pyFAI and silx are developed at the ESRF.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pydidas-25.4.8.tar.gz (8.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pydidas-25.4.8-py3-none-any.whl (8.7 MB view details)

Uploaded Python 3

File details

Details for the file pydidas-25.4.8.tar.gz.

File metadata

  • Download URL: pydidas-25.4.8.tar.gz
  • Upload date:
  • Size: 8.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for pydidas-25.4.8.tar.gz
Algorithm Hash digest
SHA256 92e2f3f9bab95a8d82d17799d9891a7fcccdeee9448e17a591081a8d7255e045
MD5 18a7bdc3c366b572d47c801778785a4c
BLAKE2b-256 8634a987ea0fe98903925f76814349243e97cb51f78c70ff5e04456668211b26

See more details on using hashes here.

Provenance

The following attestation bundles were made for pydidas-25.4.8.tar.gz:

Publisher: release_new_version.yml on hereon-GEMS/pydidas

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pydidas-25.4.8-py3-none-any.whl.

File metadata

  • Download URL: pydidas-25.4.8-py3-none-any.whl
  • Upload date:
  • Size: 8.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for pydidas-25.4.8-py3-none-any.whl
Algorithm Hash digest
SHA256 9eb1ba519c2366a07daa75284f0a0abd77f617fcd90c08c854e75105c1cd497c
MD5 c724eb886aae99ba26f435a77a351f34
BLAKE2b-256 45532b10fe2ebcd9a29d838a6ec28cb34c1789b1973cfccd555aa89d72e4a258

See more details on using hashes here.

Provenance

The following attestation bundles were made for pydidas-25.4.8-py3-none-any.whl:

Publisher: release_new_version.yml on hereon-GEMS/pydidas

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page