Metadata-Version: 2.1
Name: pyEvalData
Version: 1.3.3
Summary: Python Modul to evaluate experimental data
Home-page: https://github.com/dschick/pyEvalData
Author: Daniel Schick
Author-email: schick.daniel@gmail.com
License: MIT
Keywords: data evaluation
Platform: UNKNOWN
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: lmfit
Requires-Dist: scipy
Requires-Dist: uncertainties
Requires-Dist: xrayutilities
Requires-Dist: h5py (>=3.0)
Requires-Dist: nexusformat
Provides-Extra: documentation
Requires-Dist: sphinx ; extra == 'documentation'
Requires-Dist: nbsphinx ; extra == 'documentation'
Requires-Dist: sphinxcontrib-napoleon ; extra == 'documentation'
Provides-Extra: testing
Requires-Dist: flake8 ; extra == 'testing'
Requires-Dist: pytest ; extra == 'testing'

# pyEvalData

This is a Python module to evaluate experimental data, e.g. from large-scale
facilities such as synchrotron or FELs.
It is initially meant for reading SPEC data files and providing fundamental
evaluation routines such as binning and uncertainty calculations, as well as
fitting.

Documentation can be found at https://pyevaldata.readthedocs.io

