Spectrum Image visualisation by dragging a slider through the signal

[Thomas Aarholt]

Hiya,

I would like to plot my low loss spectrum image (2 spatial dimensions), as an image where each pixel has an intensity dependant on the number of counts at at a certain energy coordinate or range of the signal at that pixel.

I've looked through the Hyperspy documentation, and been given a hint of a solution, given by this picture in this section of Data Visualization.

In short, I'd like to drag the red slider on the signal window on the left and watch the image on the right change accordingly.

Does anyone have any advice?

Best,

Tom

[Francisco de la Peña]

You can do that by changing the view of the data (more info here). The easiest way to do this is as follows:

    im = s.to_image()

    im.plot()

If it is just for visualisation purposes you could merge these two lines in one:

    s.to_image().plot()

Displaying the sum of the signal in a range selected interactively is not yet implemented, but it is planned for HyperSpy 0.9, see https://github.com/hyperspy/hyperspy/pull/425.

If you don't want to play with unreleased code, for the time being you could do it (much less conveniently) as follows:

    im.inav[10.:20.].plot()

Francisco

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