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Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd

autocorrelation autograd automatic-differentiation condensed-matter correlation data-analysis error-propagation lattice-field-theory lattice-qcd markov-chain monte-carlo particle-physics physics python qcd statistical-analysis statistical-mechanics

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Justus Kuhlmann a5b6f69160 Slightly better Typechecking when exporting to SQL (#174 ) * 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		2023-05-18 17:11:52 +01:00
.github	build: bug report default title changed again.	2023-03-11 21:38:29 +00:00
examples	docs: version guard added to combined fit example.	2023-03-09 13:38:51 +00:00
pyerrors	Slightly better Typechecking when exporting to SQL (#174 )	2023-05-18 17:11:52 +01:00
tests	Slightly better Typechecking when exporting to SQL (#174 )	2023-05-18 17:11:52 +01:00
.gitignore	build: .hypothesis added to gitignore.	2023-03-17 17:56:40 +00:00
CHANGELOG.md	docs: CHANGELOG updated.	2023-03-21 10:28:15 +01:00
CITATION.cff	docs: citation file corrected.	2023-04-29 10:59:45 +01:00
conftest.py	tests: conftest.py added	2022-01-20 13:56:56 +00:00
CONTRIBUTING.md	docs: CONTRIBUTING.md extended.	2023-03-10 14:37:50 +00:00
LICENSE	Initial public release	2020-10-13 16:53:00 +02:00
pyproject.toml	build: pyproject.toml added.	2022-08-01 16:43:19 +01:00
README.md	docs: DOI badge corrected.	2023-04-14 15:41:29 +01:00
setup.py	build: minimal numpy version bumped to 1.21 as 1.20 runs out of support	2023-01-23 16:23:09 +00:00

README.md

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.