Hi everyone,
I am trying to create some brand new types of plots for a unique data set
that I have. My question basically boils down to getting some advice on
what is the proper way to set up a function that will act like one of the
matplotlib pyplot functions (e.g., have all the same behavior regarding
interactive stuff, resizing, etc.).
I have been looking through some of the code for the major functions like
plot, but have been having trouble parsing it. I think that some of this is
obfuscated in the complexity of the functions.
At some level, I would also like to be able to draw on the canvas in a very
explicit way, like in Processing (http://processing.org/); what is the best
way to approach this?
Another thing that could be really nice is to have some boilerplate
framework that someone could start with to quickly write functions that
integrate well into the rest of matplotlib.
(And sorry if I am sounding critical of the package. I actually love it,
and have been quite the MPL evangelist in my little section of Boston.)
Any suggestions are welcome.
Uri
--
Uri Laserson
PhD Candidate, Biomedical Engineering
Harvard Medical School (Genetics)
Massachusetts Institute of Technology (Mathematics)
phone +1 917 742 8019
laser...@mit.edu
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