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            "License :: OSI Approved :: BSD License",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
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            "Programming Language :: Python",
            "Programming Language :: Python :: 3.6",
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        "description": "========\nOverview\n========\n\n\n\nA Python package to load raw DTS files, perform a calibration, and plot the result\n\n* Free software: BSD 3-Clause License\n\nInstallation\n============\n\n::\n\n    pip install dtscalibration\n\nOr the development version directly from GitHub\n\n::\n\n    pip install https://github.com/dtscalibration/python-dts-calibration/zipball/master --upgrade\n\nLearn by examples\n=================\nInteractively run the example notebooks online by clicking the launch-binder button.\n\nDocumentation\n=============\n\nhttps://python-dts-calibration.readthedocs.io/\n\n\n\nChangelog\n=========\n0.6.3 (2019-04-03)\n------------------\n* Added reading support for zipped silixa files. Still rarely fails due to upstream bug.\n* pretty __repr__\n* Reworked double ended calibration procedure. Integrated differential attenuation outside of reference sections is now calculated seperately.\n* New approach for estimation of Stokes variance. Not restricted to a decaying exponential\n* Bug in averaging TMPF and TMPB to TMPW\n* Modified residuals plot, especially useful for long fibers (Great work Bart!)\n* Example notebooks updatred accordingly\n* Bug in `to_netcdf` when passing encodings\n* Better support for sections that are not related to a timeseries.\n\n0.6.2 (2019-02-26)\n------------------\n* Double-ended weighted calibration procedure is rewritten so that the integrated differential attenuation outside of the reference sections is calculated seperately. Better memory usage and faster\n* Other calibration routines cleaned up\n* Official support for Python 3.7\n* Coverage figures are now trustworthy\n* String representation improved\n* Include test for aligning double ended measurements\n* Example for aligning double ended measurements\n\n0.6.1 (2019-01-04)\n------------------\n* Many examples were shown in the documentation\n* Fixed verbose settings of solvers\n* Revised example notebooks\n* Moved to 80 characters per line (PEP)\n* More Python formatting using YAPF\n* Use example of `plot_residuals_reference_sections` function in Stokes variance example notebook\n* Support Python 3.7\n\n0.6.0 (2018-12-08)\n------------------\n* Reworked the double-ended calibration routine and the routine for confidence intervals. The integrated differential attenuation is not zero at x=0 anymore.\n* Verbose commands carpentry\n* Bug fixed that would make the read_silixa routine crash if there are copies of the same file in the same folder\n* Routine to read sensornet files. Only single-ended configurations supported for now. Anyone has double-ended measurements?\n* Lazy calculation of the confidence intervals\n* Bug solved. The x-coordinates where not calculated correctly. The bug only appeared for measurements along long cables.\n* Example notebook of importing a timeseries. For example, importing measurments from an external temperature sensor for calibration.\n* Updated documentation\n\n\n0.5.3 (2018-10-26)\n------------------\n* No changes\n\n0.5.2 (2018-10-26)\n------------------\n\n* New resample_datastore method (see basic usage notebook)\n* New notebook on basic usage of DataStore\n* Support for Silixa v4 (Windows xp based system) and Silixa v6 (Windows 7) measurement files\n* The representation string now includes the sections\n* Reorganized the IO related files\n* CI: Add appveyor to continuesly test on Windows platform\n* Auto load Silixa files to memory option, if size is small\n\n0.5.1 (2018-10-19)\n------------------\n\n* Rewritten the routine that reads Silixa measurement files\n* dts-calibration is now citable\n* Refractored the MC confidence interval routine\n* MC confidence interval routine speed up, with full dask support\n* Link to mybinder.org to try the example notebooks online\n* Added a few missing dependencies\n* The routine to read the Silixa files is completely refractored. Faster, smarter. Supports both the path to a directory and a list of file paths.\n* Changed imports from dtscalibration to be relative\n\n0.4.0 (2018-09-06)\n------------------\n\n* Single ended calibration\n* Confidence intervals for single ended calibration\n* Example notebooks have figures embedded\n* Several bugs squashed\n* Reorganized DataStore functions\n\n\n0.2.0 (2018-08-16)\n------------------\n\n* Double ended calibration\n* Confidence intervals for double ended calibration\n\n\n0.1.0 (2018-08-01)\n------------------\n\n* First release on PyPI.\n\n\n",
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