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.
Documentation
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.
