Wrapper around PyMca for parsing spec files. Further convenience tools are available for binning RIXS spectra.
This is dependent on the PyMca package https://github.com/vasole/pymca
See the notebooks in the examples folder for how this works.
pip install PyMca5
git clone https://github.com/mpmdean/pymcaspec.git
cd pymcaspec
python setup.py install
conda install jupyterlab
and install https://github.com/matplotlib/jupyter-matplotlib following the instructions to have interactive plots.
You can try out the repo here
create specfile object
from pymcaspec import specfile
F = specfile('<name of file>')
To show the relevent details of the file call
print(F)
The specfile instance can be indexed to create scan objects. Either from a single scan index
S = F['5.1']
or from a series of scans
S = F[['5.1', '7.1', '8.1']]
Calling
S = F[3:6]
Assumes that you want the first '.1' scan and returns keys '3.1', '4.1', '5.1'
The code assumes that these keys include the same set of scanned motors. Otherwise it will fail. If the combination fails it likely means that it does not make sense to combine the keys.
call
print(S)
to show a summary of the scanned and baseline motors.
The motors can be accessed by indexing their names as
H = S['H']
I = S['APD']
or using the column number starting from zero.
H = S[0]
I = S[-1]
Non-scanned (baseline) motors are accessed as
S.get_baseline('chi')
S.plot()
will plot the data.
Examples are shown in more detail in the ipython notebooks.