On Wed, Apr 18, 2012 at 12:40 PM, hari jayaram <hari...@gmail.com> wrote:
> Hi
> I am fairly new to matplotlib.
>
> I have 384 x,y plots that I want to arrange into a 24 by 16 array of
> subplots with each subplot being at-least 4 inches by 4 inches.
>
> I am creating the figure using a large size so that everything will fit
>
> fig = plt.figure(figsize=(96,64),dpi=72)
>
> I then have my for loop go through my data-structure and add the
> subplots to this figure. In addition , each subplot has four
> data-ranges plotted into it.
>
> ax = fig.add_subplot(24,16,index + 1)
> par1 = ax.twinx()
> par2 = ax.twinx()
> par3 = ax.twinx()
> par4 = ax.twinx()
> par1.plot(xs,ys,"o",xcalc,ycalc)
> par2.plot(xcalc,my_derivative,color="black")
> par4.plot(xcalc,my_unsmooth_derivative,color="cyan")
>
> In the present form I create a one pane window that shows all 384
> plots and then navigate between the plots using pan.
>
> My question is : Is there a more elegant way to do this? . Is there a
> way instead to create a small shrunken down figure and then zoom in
> one cell at a time?. The figure navigation controls only zoom with
> respect to an axes. Is there a way to zoom w.r.t the whole figure
> interactively.
>
>
> Thanks for your help
>
> Hari
>
>
mpl_toolkits.axes_grid1 can allow you to "share" all of the axes. All x
and y lims will be the same and any change to one will reflect everywhere
else. Does that help?
Ben Root
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