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 ------------------------------------------------------------------------------ Better than sec? Nothing is better than sec when it comes to monitoring Big Data applications. Try Boundary one-second resolution app monitoring today. Free. http://p.sf.net/sfu/Boundary-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
