This is the MIT version of the PyMca XRF Toolkit. Please read the
LICENSE <./LICENSE>
_ file for details.
Ready-to-use packages are available for the most common platforms.
PyMca frozen binaries for MacOS and Windows can be obtained from
Sourceforge <https://sourceforge.net/projects/pymca/files/pymca>
_
Official packages are available for common Linux distributions.
Please continue reading if you want to use PyMca with your existing Python installation.
The simplest solution is to use pip
:
.. code:: bash
pip install PyMca5
You can add the usual --user
qualifier to install only for your
local user rather than system-wide:
.. code:: bash
pip install PyMca5 --user
If you want to build from the source distribution or from a git repository checkout, you may want to have Cython installed on your system.
Examples of source installation
1. In your default system-wide python installation, run one or the other
of the two (not both) commands below (may require root/administrator
access):
.. code:: bash
# Run one of the following (not both); pip is preferred
python setup.py install # use python setuptools
pip install . # use the pip package manager
2. Or, to install just in your local user account:
.. code:: bash
# Run one of the following (not both); pip is preferred
python setup.py install --user # use python setuptool
pip install . --user # use the pip package manager
You will need the following dependencies installed:
- `python <https://www.python.org/>`_ (3.8 or higher
recommended)
- `numpy <https://www.numpy.org/>`_
- `fisx <https://github.com/vasole/fisx>`_
- `h5py <https://github.com/h5py/h5py>`_
If you want to use the graphical interface provided, you will need a
running python installation with one of the following combinations:
- ``PyQt5`` + ``matplotlib`` (PyMca license will be
`GPL <https://www.gnu.org/licenses/gpl-3.0.en.html>`_ unless you
have a commercial PyQt5 license)
- ``PyQt6`` + ``matplotlib`` (PyMca license will be
`GPL <https://www.gnu.org/licenses/gpl-3.0.en.html>`_ unless you
have a commercial PyQt6 license)
- ``PySide6`` + ``matplotlib`` (PyMca license will be
`MIT <https://tldrlegal.com/license/mit-license>`_ because PySide6 is
`LGPL <https://www.gnu.org/licenses/lgpl-3.0.en.html>`_)
If you want to embed ``PyMca`` in your own graphical applications, I
recommend you to use the
`McaAdvancedFit.py <PyMca5/PyMcaGui/physics/xrf/McaAdvancedFit.py>`_
module. It is very easy to embed.
Testing
-------
To run the tests **after installation** run::
python -m PyMca5.tests.TestAll
Development Plans
-----------------
- Use the ``fisx`` library for all Physics calculations and not just
for corrections.
- Compound fitting.
If you have any questions or comments (or contributions!), please feel
free to contact me or submit a pull request.
Enjoy,
\V. Armando Sole