dtscalibration 0.6.7

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

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.

Documentation

https://python-dts-calibration.readthedocs.io/

Changelog

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.