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Add labels for mixing ratio lines and adiabats on skewT #890

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ssalesky opened this issue Jul 13, 2018 · 6 comments
Open

Add labels for mixing ratio lines and adiabats on skewT #890

ssalesky opened this issue Jul 13, 2018 · 6 comments
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Area: Plots Pertains to producing plots Type: Enhancement Enhancement to existing functionality

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@ssalesky
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It would be helpful to have the ability to label mixing ratio lines and perhaps also dry and moist adiabats. Maybe I missed it in the documentation, but I haven't found an easy way to do this.

What I have in mind is similar to the examples below:
Stull, Practical Meteorology
http://bretwhissel.net/skewt/skewt-loc.pdf

@dopplershift
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Definitely a good idea. Would probably be readily do-able if/when we make these proper gridlines (or grline-like) as suggested in #112.

@dopplershift dopplershift added Type: Enhancement Enhancement to existing functionality Area: Plots Pertains to producing plots labels Jul 13, 2018
@dopplershift
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Also, did you see our user survey?

@markmuetz
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This would be good - the plots would be a lot more useful if all the lines were labelled.

@jrleeman
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Thanks for the vote @markmuetz - we'll try to get this bumped up the stack and get #112 closed out.

@brian-rose
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Hi metpy team, just dropping by here to give a +1 to this issue! Teaching thermodynamics right now, and I'm currently struggling with putting useful labels on mixing lines. Unlike the dry and moist adiabats, I can't easily infer mixing ratio values from the horizontal temperature axis.

@dopplershift
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Thanks @brian-rose ! Would love to have your feedback on the interface presented in #2488, which provides a declarative style plotting interface (inline with our existing "simplified" plotting interface) and features some support for labelling.

The challenge (that I may have to compromise on) is finding a way to do this that integrates within Matplotlib's gridline/ticking machinery rather than using some kind of judicious hackworkaround.

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Labels
Area: Plots Pertains to producing plots Type: Enhancement Enhancement to existing functionality
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5 participants