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A Python package to load raw DTS files, perform a calibration, and plot the result

Project description

A Python package to load raw DTS files, perform a calibration, and plot the result

  • Free software: BSD 3-Clause License

Installation

pip install dtscalibration

Or the development version directly from GitHub

pip install https://github.com/dtscalibration/python-dts-calibration/zipball/master --upgrade

Learn by examples

Interactively run the example notebooks online by clicking the launch-binder button.

Changelog

0.7.0 (2019-11-07)

  • Ensure order of dimension upon initialization of DataStore. Resamplingwould lead to issues
  • Bug in section definition (reported by Robert Law)
  • Rewritten calibration solvers to align with article of this package
  • Removed old calibration solvers
  • New possibilities of saving and loading large DataStores saved to multiplenetCDF files

0.6.7 (2019-11-01)

  • Use twine to check if the compiled package meets all the requirements of Pypi

0.6.6 (2019-11-01)

  • Use twine to check if the compiled package meets all the requirements of Pypi

0.6.5 (2019-11-01)

  • Major bug fix version.
  • More flexibility in defining the time and space dimensions
  • Fixed unsave yaml loading
  • Added support for Silixa 7 files
  • Start using __slots__ as it is something new
  • xarray doesn’t have the attribute ._initialized anymore. Rewritten teststo make more sense by checking the sum of the Stokes instead.
  • Support for double ended Sensornet files and tests
  • Bug fixing

0.6.4 (2019-04-09)

  • More flexibility in defining the time dimension
  • Cleanup of some plotting functions

0.6.3 (2019-04-03)

  • Added reading support for zipped silixa files. Still rarely fails due to upstream bug.
  • pretty __repr__
  • Reworked double ended calibration procedure. Integrated differential attenuation outside of reference sections is now calculated seperately.
  • New approach for estimation of Stokes variance. Not restricted to a decaying exponential
  • Bug in averaging TMPF and TMPB to TMPW
  • Modified residuals plot, especially useful for long fibers (Great work Bart!)
  • Example notebooks updatred accordingly
  • Bug in to_netcdf when passing encodings
  • Better support for sections that are not related to a timeseries.

0.6.2 (2019-02-26)

  • 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
  • Other calibration routines cleaned up
  • Official support for Python 3.7
  • Coverage figures are now trustworthy
  • String representation improved
  • Include test for aligning double ended measurements
  • Example for aligning double ended measurements

0.6.1 (2019-01-04)

  • Many examples were shown in the documentation
  • Fixed verbose settings of solvers
  • Revised example notebooks
  • Moved to 80 characters per line (PEP)
  • More Python formatting using YAPF
  • Use example of plot_residuals_reference_sections function in Stokes variance example notebook
  • Support Python 3.7

0.6.0 (2018-12-08)

  • Reworked the double-ended calibration routine and the routine for confidence intervals. The integrated differential attenuation is not zero at x=0 anymore.
  • Verbose commands carpentry
  • Bug fixed that would make the read_silixa routine crash if there are copies of the same file in the same folder
  • Routine to read sensornet files. Only single-ended configurations supported for now. Anyone has double-ended measurements?
  • Lazy calculation of the confidence intervals
  • Bug solved. The x-coordinates where not calculated correctly. The bug only appeared for measurements along long cables.
  • Example notebook of importing a timeseries. For example, importing measurments from an external temperature sensor for calibration.
  • Updated documentation

0.5.3 (2018-10-26)

  • No changes

0.5.2 (2018-10-26)

  • New resample_datastore method (see basic usage notebook)
  • New notebook on basic usage of DataStore
  • Support for Silixa v4 (Windows xp based system) and Silixa v6 (Windows 7) measurement files
  • The representation string now includes the sections
  • Reorganized the IO related files
  • CI: Add appveyor to continuesly test on Windows platform
  • Auto load Silixa files to memory option, if size is small

0.5.1 (2018-10-19)

  • Rewritten the routine that reads Silixa measurement files
  • dts-calibration is now citable
  • Refractored the MC confidence interval routine
  • MC confidence interval routine speed up, with full dask support
  • Link to mybinder.org to try the example notebooks online
  • Added a few missing dependencies
  • 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.
  • Changed imports from dtscalibration to be relative

0.4.0 (2018-09-06)

  • Single ended calibration
  • Confidence intervals for single ended calibration
  • Example notebooks have figures embedded
  • Several bugs squashed
  • Reorganized DataStore functions

0.2.0 (2018-08-16)

  • Double ended calibration
  • Confidence intervals for double ended calibration

0.1.0 (2018-08-01)

  • First release on PyPI.

Project details


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