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Changelog
This page contains a summary of changes between the official ASpecD releases. Only the biggest changes are listed here. A complete and detailed log of all changes is available through the GitHub Repository Browser.
Version 0.3.1
Released 2021-09-21
The following bugs have been fixed:
Handling of lists as properties in recipes
Improved handling of axes labels with xkcd style
Offset in SinglePlotter2DStacked can be set to zero
Version 0.3.0
Released 2021-09-02
Note: This is the last ASpecD release with explicit support for Python 3.5.
New features
Processing steps
Adding (coloured) noise to datasets (
aspecd.processing.Noise
)Provide a new range of axis values for a dataset for correction (
aspecd.processing.ChangeAxesValues
)
Analysis steps
Power spectral density of 1D dataset (
aspecd.analysis.PowerDensitySpectrum
), e.g., for analysing noisePolynomial fit of 1D data (
aspecd.analysis.PolynomialFit
)Linear regression of 1D data without fitting the intercept (
aspecd.analysis.LinearRegressionWithFixedIntercept
)Additional methods in
aspecd.analysis.BlindSNREstimation
Class
aspecd.model.Model
New attribute
aspecd.model.Model.description
New non-public method
_sanitise_parameters
New models
aspecd.model.Polynomial
for evaluating polynomials (e.g., as obtained usingaspecd.analysis.PolynomialFit
)aspecd.model.CompositeModel
for models consisting of a (weighted) sum of individual modelsaspecd.model.FamilyOfCurves
for inspecting systematic variations of one parameter of a given model
Tasks
Comments can be added easily to processing and analysis steps using the top-level key
comment
of the respective task.
Utils
aspecd.utils.not_zero()
ensuring a float not to cause DivisionByZero errors
Changes
aspecd.processing.Differentiation
usesnumpy.gradient()
instead ofnumpy.diff()
aspecd.processing.BaselineCorrection
returns polynomial coefficients in unscaled data domain
Fixes
Axis labels without “/” if no unit is present
aspecd.metadata.Measurement
handles dates imported from YAML (implicitly converted into datetime.date object)
Version 0.2.2
Released 2021-06-19
The following bugs have been fixed:
Normalisation to minimum now divides by absolute value of minimum
Normalisation raises ValueError in case of unknown kind
Import with explicit importer when importer resides in (sub)package
Recipe history shortens dataset source if dataset_source_directory has trailing slash
Version 0.2.1
Released 2021-06-03
The following bugs have been fixed:
Report: template can have “..” in its path
aspecd.utils.copy_values_between_dicts()
cascades through source dictAdd missing template files for sphinx multiversion
Additionally, the following new helper functions appeared:
Version 0.2.0
Released 2021-05-19
New features
Singleplot and multiplot tasks automatically save results to generic file(s) when no filename is provided
Importer and importer parameters can be set in recipe
DatasetImporterFactory: importer can be set explicitly, parameters can be passed to importers
DatasetImporter with parameters property
Meaningful error messages for exceptions in ProcessingSteps, AnalysisSteps, Plotters
Method
create_dataset()
in AnalysisStepPeakFinding (for 1D data)
BlindSNREstimation (currently only with simplest method)
BasicStatistics (mean, median, std, var)
BasicCharacteristics (min, max, amplitude, area)
ProcessingStep provides non-public method
_set_defaults()
for setting default parameters before sanitising parameters.Filtering (with uniform, Gaussian, and Savitzky-Golay filter)
Interpolation (at least for 1D and 2D datasets)
Normalisation:
Act on parts of the data of a dataset
Handle noise for ND data with N>1
RangeExtraction: extract range of data from dataset (using slice notation)
MultiprocessingTask (and SingleprocessingTask aliasing ProcessingTask)
ScalarAxisAlgebra: perform scalar algebra on axis values
DatasetAlgebra: add and subtract data of second dataset to/from dataset
CommonRangeExtraction for 1D and 2D datasets
SinglePlotter2D:
Filled contour plot with additional contour lines that can be styled
Lines of contour plot can be styled
SliceExtraction now handles both, axis indices and axis values
Changes
Removed parameter
source
from method_get_importer
in DatasetImporterFactory, importer factories of derived packages now handle ASpecD-implemented importers by default.Dataset: method
aspecd.dataset.append_history_record()
made publicSystemInfo: Packages contain now full list of dependencies with version numbers of currently installed packages
SliceExtraction:
parameter “index” renamed to “position”
works for ND datasets with N>1
ProcessingStep split into SingleProcessingStep and MultiProcessingStep
All processing steps previously inheriting from aspecd.ProcessingStep need to inherit now from aspecd.SingleProcessingStep to continue working as expected.
Plots throw “NotApplicableToDataset” exceptions rather than “PlotNotApplicableToDataset”
Fixes
SingleanalysisTask assigns results of multiple (individual) datasets
Exceptions print messages
New dependencies
scipy (for interpolation in ExtractCommonRange and various analysis steps)
Version 0.1.1
Released 2021-05-03
The following bugs have been fixed:
MetadataMapper: Fix sequence of mapping operations performed
MetadataMapper: Mappings are automatically loaded from file if filename is given
CompositePlotter: Legends for subplots work
SliceExtraction: Remove correct axis from dataset
MultiPlotter1D*: Fix problem in conjunction with CompositePlotter and assigning drawings
SliceExtraction: fix problem extracting slice with index zero
CompositePlotter: more intuitive axes_positions
Fix bug with aspect ratio of 2D plots using imshow
Update intersphinx mapping for matplotlib
Version 0.1.0
Released 2021-04-24
First public release
List of generally applicable concrete processing steps
List of generally applicable concrete plotters
Recipe-driven data analysis fully working with history
Introduced ASpecD dataset format (ADF)
Version 0.1.0.dev280
Released 2019-06-14
First public pre-release on PyPI