Re: [Matplotlib-users] Scaling axes not data?

[Boris B. <ba...@en...>]

Eric and John,

Thanks for the information. You are right that this probably would have been a 
premature optimisation, even if it weren't rendered useless by matplotlib 
using doubles internally (which I hadn't realised). The thought just occurred 
to me as I was writing the data-scaling part of my script.

The script is intended to be somewhat interactive. Initial tests suggest that 
plotting or updating several subplots from memory does take a quite 
noticeable time (e.g. 1.2 -- 1.5 seconds for 3 subplots of 10000 points) that 
will probably become annoying in routine use. As you indicated, basically all 
that time is spent within matplotlib. I'm just using standard default calls:

for i in subplot
    subplot	
    plot
    xlabel
    ylabel
    title

Each of these calls seems to take roughly the same time (60--100ms). If 
anybody has pointers on speeding things up significantly, I'm all ears. 
(Predefining data limits? Using lower-level commands? Use of a non-default 
backend?)

Boris