Re: [Matplotlib-users] plot() in a loop vs multiple curves with a single plot()

[Jouni K. S. <jk...@ik...>]

A B <pyt...@gm...> writes:

> I have the following code and am wondering whether there is a more
> efficient way to plot multiple curves. Maybe somehow accumulating the
> data into a single variable, then calling plot once ... Thanks for any
> ideas.
>
> for ofile in files:
>     d = mlab.csv2rec(ofile, names = ['date','field'])
>     ax.plot(d['date'], d['field'])

You can give multiple x,y pairs to plot, so perhaps something like

data = [mlab.csv2rec(f, names=['date','field']) for f in files]
data = [[x['date'],x['field']] for x in data]
ax.plot(*np.concatenate(data))

would work. But I don't know if it's really any more efficient. For
large plots, you may want to take a look at collections:

http://matplotlib.sourceforge.net/api/collections_api.html#matplotlib.collections.LineCollection

-- 
Jouni K. Seppänen
http://www.iki.fi/jks