Flexible method for isobaric slice plotting

[robinbaeyens]

I made the first plotting method, i.e. isobaric slice plotting.
I hope it is flexible enough to build other -- more specific -- plotting methods on it. Let me know what you think @AaronDavidSchneider

ps: first pull request in my life, yay!

[AaronDavidSchneider]

I really like the plotting routines. They give an easy to use first quick and dirty plotting feeling!

I think that (apart from the comments) they are not even very restrictive.

One fundamental design choice for the plotting routines would be the question of weither we want the gcmt object to become a member of the Plotting class. A benefit of that could be that you could just select a tag to plot.

What do you think?

[robinbaeyens]

One fundamental design choice for the plotting routines would be the question of weither we want the gcmt object to become a member of the Plotting class. A benefit of that could be that you could just select a tag to plot.

Do you mean whether to do something like gcmt.get_models('HD20').isobaric_slice(...) or like isobaric_slice('HD20', ...), or both, or neither? :)
In any case, the current approach is for me the most intuitive, but I'm open to have it in a different way as well.

[AaronDavidSchneider]

Do you mean whether to do something like gcmt.get_models('HD20').isobaric_slice(...) or like isobaric_slice('HD20', ...), or both, or neither? :) In any case, the current approach is for me the most intuitive, but I'm open to have it in a different way as well.

How about having both? E.g.
gcmt.isobaric_slice(tag='HD2') and
isobaric_slice(ds)

and then drop the Plotting class completely (no common methods, variables needed) and instead just have the plotting functions that can also be wrapped in gcmt?

[AaronDavidSchneider]

I like it! I have two very small comments

[AaronDavidSchneider]

Thanks @robinbaeyens!