Open ericasaw opened 1 year ago
My guess is this is a copy issue--- whether the .plot
operates on a copy or a view of the original. As a workaround, I recommend making an intermediate spectrum:
temp_spec = specs[0][order].normalize()
temp_spec.plot(ax = ax)
or maybe even:
temp_spec = specs[0][order]
temp_spec = temp_spec.normalize()
temp_spec.plot(ax = ax)
Merely a workaround until a scrupulous look at how/whether intermediate copies are made. The copying behavior is a legacy of how specutils stores SpectrumCollections
. Someday I'd like to get a specutils contributor to give a critical look at muler
-- they'd probably have some good guidance.
Hi @ericasaw is this plotting glitch still an issue? If so, can you provide a minimal reproducible example, and which version of muler
you are using?
Was working on plotting some IGRINS spectra order by order this morning and I found this weird glitch. When you execute a line like
specs[0][order].normalize().plot()
(where specs is a list of IGRINSSpectrumLists) the plotted spectrum for a particular order is nicely normalized, but if you initialize a matplotlib figure and subplot and instead executespecs[0][order].normalize().plot(ax = ax)
the plotted order is not normalized. If instead you set your new axis equal to the plot for the normalized order (ax = specs[0][order].normalize().plot()
) the order is normalized and you can change things about the plot like the title, range, etc. Thought it was kind of weird, is anyone else running into this?