========= 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 0.2.2 ============= 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 * :func:`aspecd.utils.copy_values_between_dicts` cascades through source dict * Add missing template files for sphinx multiversion Additionally, the following new helper functions appeared: * :func:`aspecd.utils.remove_empty_values_from_dict` * :func:`aspecd.utils.convert_keys_to_variable_names` 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 AnalysisStep * PeakFinding (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 :meth:`aspecd.dataset.append_history_record` made public * SystemInfo: 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