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Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
autocorrelationautogradautomatic-differentiationcondensed-mattercorrelationdata-analysiserror-propagationlattice-field-theorylattice-qcdmarkov-chainmonte-carloparticle-physicsphysicspythonqcdstatistical-analysisstatistical-mechanics
* corret type clause * add tests, changes in create_json_string * create json-string now gives back None * revert changes * fix panda sql export * add SQL test * fixed None type export for csv and sql.gz * move None parsing to json io * alter regex * revert changes * only replace None with empty str when necessary * fixed deserialze_df for python 3.7 * add more tesets * fix case where gz was ignored * hand voer gz explicitly * replace nan by None in non-Obs columns * moved warning to csv export, mroe tests * only values able to be nan are put in np.isnan() * added python float for warning |
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examples | ||
pyerrors | ||
tests | ||
.gitignore | ||
CHANGELOG.md | ||
CITATION.cff | ||
conftest.py | ||
CONTRIBUTING.md | ||
LICENSE | ||
pyproject.toml | ||
README.md | ||
setup.py |
pyerrors
pyerrors
is a python framework for error computation and propagation of Markov chain Monte Carlo data from lattice field theory and statistical mechanics simulations.
- Documentation: https://fjosw.github.io/pyerrors/pyerrors.html
- Examples: https://github.com/fjosw/pyerrors/tree/develop/examples
- Bug reports: https://github.com/fjosw/pyerrors/issues
Installation
Install the most recent release using pip and pypi:
pip install pyerrors # Fresh install
pip install -U pyerrors # Update
Install the most recent release using conda and conda-forge:
conda install -c conda-forge pyerrors # Fresh install
conda update -c conda-forge pyerrors # Update
Contributing
We appreciate all contributions to the code, the documentation and the examples. If you want to get involved please have a look at our contribution guideline.