dtscalibration 0.6.5

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

======== Overview

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

0.6.5 (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 tests to make more sense by checking the sum of the Stokes instead.
• Support for double ended Sensornet files + test
• 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.