Tools for manipulating and comparing PDF profiles
diffpy.morph
is a Python software package designed to increase the insight
researchers can obtain from measured atomic pair distribution functions
(PDFs) in a model-independent way. The program was designed to help a
researcher answer the question: "Has my material undergone a phase
transition between these two measurements?"
One approach is to compare the two PDFs in a plot and view the difference
curve underneath. However, significant signal can be seen in the
difference curve from benign effects such as thermal expansion (peak
shifts) and increased thermal motion (peak broadening) or a change in
scale due to differences in incident flux, for example. diffpy.morph
will
do its best to correct for these benign effects before computing and
plotting the difference curve. One measured PDF (typically that collected
at higher temperature) is identified as the target PDF and the second
PDF is then morphed by "stretching" (changing the r-axis to simulate a
uniform lattice expansion), "smearing" (broadening peaks through a
uniform convolution to simulate increased thermal motion), and "scaling"
(self-explanatory). diffpy.morph
will vary the amplitude of the morphing
transformations to obtain the best fit between the morphed and the target
PDFs, then plot them on top of each other with the difference plotted
below.
There are also a few other morphing transformations in the program.
Finally, we note that diffpy.morph
should work on other spectra that are not
PDFs, though it has not been extensively tested beyond the PDF.
For more information about the diffpy.morph library, please consult our online documentation.
If you use diffpy.morph in a scientific publication, we would like you to cite this package as
diffpy.morph Package, https://github.com/diffpy/diffpy.morph
diffpy.morph
is currently run from the command line, which requires opening
and typing into a terminal window or Windows command prompt. It is
recommended that you consult online resources and become somewhat
familiar before using diffpy.morph
.
diffpy.morph
can be run with Python 3.10 or higher. It makes use of several third party
libraries that you'll need to run the app and its components.
- NumPy - library for scientific computing with Python
- matplotlib - Python 2D plotting library
- SciPy - library for highly technical Python computing
- diffpy.utils - shared helper utilities for wx GUI
These dependencies will be installed automatically if you use the conda installation procedure described below.
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.morph_env
conda create -n diffpy.morph_env diffpy.morph conda activate diffpy.morph_env
To confirm that the installation was successful, type:
python -c "import diffpy.morph; print(diffpy.morph.__version__)" 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.morph_env
environment, we will also have to install dependencies
pip install -r https://raw.githubusercontent.com/diffpy/diffpy.morph/main/requirements/pip.txt
and then install the package
pip install diffpy.morph
If you prefer to install from sources, after installing the dependencies, obtain the source archive from
GitHub. Once installed, cd
into your diffpy.morph
directory
and run the following
pip install .
You may consult our online documentation for tutorials and API references.
For detailed instructions and full tutorial, consult the user manual on our website <www.diffpy.org/diffpy.morph/>.
Once the required software, including diffpy.morph
is all installed, open
up a terminal and check installation has worked properly by running
source activate diffpy.morph_env #if the environment isn't already active diffpy.morph -h #get some helpful information diffpy.morph --version
If installed correctly, this last command should return the version
of diffpy.morph
that you have installed on your system. To begin using
diffpy.morph
, run a command like
diffpy.morph <target PDF file> <morphed PDF file>
where both PDFs file are text files which contain PDF data, such as .gr
or .cgr
files that are produced by PDFgetX2
, PDFgetX3
,
or PDFgui
. Though some file extensions other than .gr
or .cgr
,
but with the same content structure, have been shown to work with
diffpy.morph
, it is recommended to stick with .gr
files.
Enjoy!
Diffpy user group is the discussion forum for general questions and discussions about the use of diffpy.morph. Please join the diffpy.morph users community by joining the Google group. The diffpy.morph project welcomes your expertise and enthusiasm!
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. You can also post it to the Diffpy user group.
Feel free to fork the project and contribute. To install diffpy.morph 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.
For more information on diffpy.morph please visit the project web-page or email Prof. Simon Billinge at [email protected].