A python library for correlating EBSD and HRDIC data.
Project description
A python library for correlating EBSD and HRDIC data.
How to install • How To Use • Documentation • Credits • Contributing • License
How to install
-
DefDAP can be installed from PyPI using the command
pip install defdap
-
If you use conda as your package manager (https://www.anaconda.com/), the prerequisite packages that are available from anaconda can be installed using the command
conda install scipy numpy matplotlib scikit-image scikit-learn pandas networkx jupyter ipython
(Anaconda3-2020.02 has been tested) -
For more information, see the documentation
How to use
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To start the example notebook, use the command
jupyter lab
and click the notebook (.ipynb file) -
Try out the example notebook using the binder link above (Note: change the matplotlib plotting mode to inline, some of the interactive features will not work)
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Here is a video demonstrating the basic functionality of the package: DefDAP demo
Documentation
- For more help, see the online documentation or browse in the /docs directory.
Contributing
- For information about contributing see the guidelines
- Any new functions or changes to arguments should be documented. Details on how to regenerate html documentation is given here.
Credits
The software uses the following open source packages:
- scipy
- numpy
- matplotlib
- scikit-image
- scikit-learn
- networkx
- pandas
- peakutils
- matplotlib_scalebar
- IPython
- jupyter
License
Project details
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