hyperspy: HyperSpy 1.0

HyperSpy is an open source Python library which provides tools to facilitate the interactive data analysis of multi-dimensional datasets that can be described as multi-dimensional arrays of a given signal (e.g. a 2D array of spectra a.k.a spectrum image). This is a major release. Here we only list the highlist. A detailed list of changes is available in github. NEW Region Of Interest (ROI). Robust PCA (RPCA) and online RPCA algorithms. Numpy ufuncs can now operate on HyperSpy’s signals. ComplexSignal and specialised subclasses to operate on complex data. Events logging. Query and fetch spectra from The EELS Database. Interactive operations. Events. Model Smart Adaptive Multi-dimensional Fitting (SAMFire). Store models in hdf5 files. Add fancy indexing to Model. Two-dimensional model fitting. EDS Z-factors quantification. Cross section quantification. EDS curve fitting. X-ray absorption coefficient database. IO Support for reading certain files without loading them to memory. Bruker’s composite file (bcf) reading support. Electron Microscopy Datasets (EMD) read and write support. SEMPER unf read and write support. DENS heat log read support. NanoMegas blockfile read and write support. Enhancements More useful AxesManager repr string with html repr for Jupyter Notebook. Better progress bar (tqdm). Add support for writing/reading scale and unit to tif files to be read with ImageJ or DigitalMicrograph. Documentation The following sections of the User Guide were revised and largely overwritten: Installing HyperSpy. Machine learning. Energy-Dispersive X-ray Spectrometry (EDS). New Developer Guide. API changes Split components into components1D and components2D. Remove record_by from metadata. Remove simulation classes. The Signal1D, Signal2D and BaseSignal classes deprecated the old Spectrum Image and Signal classes