HyperSpy v1.4

This is a minor release. Follow the following links for details on all the bugs fixed, enhancements and new features. NEW Support for three new file formats: Reading FEI’s Velox EMD file format based on the HDF5 open standard. See EMD (FEI). Reding Burcker’s SPX format. See SPX format. Reading and writing the mrcz open format. See MRCZ. New artificial_data module which contains functions for generating artificial data, for use in things like docstrings or for people to test HyperSpy functionalities. See Loading example data and data from online databases. New fft() and ifft() signal methods. See FFT and iFFT. New statistics() method to compute useful hologram parameters. See Getting hologram statistics. Automatic axes units conversion and better units handling using pint. See Using quantity and converting units. New Line2DROI angle() method. See Region Of Interest (ROI) for details. Enhancements plot_images() improvements (see Plotting several images for details): The cmap option of plot_images() supports iterable types, allowing the user to specify different colormaps for the different images that are plotted by providing a list or other generator. Clicking on an individual image updates it. New customizable keyboard shortcuts to navigate multi-dimensional datasets. See Data visualization. The remove_background() method now operates much faster in multi-dimensional datasets and adds the options to interatively plot the remainder of the operation and to set the removed background to zero. See Background removal for details. The plot() method now takes a norm keyword that can be “linear”, “log”, “auto” or a matplotlib norm. See Customising image plot for details. Moreover, there are three new extra keyword arguments, fft_shift and power_spectrum, that are useful when plotting fourier transforms. See FFT and iFFT. The align2D() and estimate_shift2D() can operate with sub-pixel accuracy using skimage’s upsampled matrix-multiplication DFT. See Two dimensional signal registration (alignment)