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PeakPo with Jupyter
S.-H. Dan Shim edited this page Jun 19, 2022
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The setup below allows for the registration of the PeakPo environment in Jupyter as a kernel. You can read *.dpp
files directly from Jupyter and generate plots.
source activate myenv
python -m ipykernel install --user --name myenv --display-name "Python (myenv)"
jupyter kernelspec uninstall <unwanted-kernel-name>
jupyter kernelspec list
Data types and functions
Plot and sidebars
Toolbars
Base pattern
Waterfall patterns
Background subtraction
Setup
Control gray scale
Azimuthal integration
JCPDSs
JCPDS, control the view
Make a jcpds from cif
Workflow
Tweak
Save Tweak to JCPDS
Get Tweak result
Peak fitting
Unit-cell fitting
Session
Output files
Publication-ready Cake plot
Illustrator-ready PeakPo plot
Install in anaconda
Update
Run PeakPo in python
Update history
Issues and Suggestions
Environments | FBS setup | APS setups
PeakPo with Jupyter