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

pytest License: MIT arXiv DOI

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.

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.