Dear matplotlib developers, I prefer to use matplotlib in my scripts without its state-machine wrapper and it works mostly nicely. One thing which is missing currently is a standard way to display a bunch of figures using the default backend. What I have to do now is:
from matplotlib.pyplot import figure, show f = figure() ax = f.add_subplot(1, 1, 1) ax.plot(range(10)) f = figure() ax = f.add_subplot(1, 1, 1) ax.plot([x*x for x in range(10)]) show() What I don't like about this approach is that figure() not only creates a figure instance, but also a hidden reference to it somewhere in the state machine and show uses these hidden references. I find this inelegant. What about adding a function "show_figures" to matplotlib (not to matplotlib.pyplot but somewhere else) which would show all the figures in a sequence using the default backend? Then the following would be possible: f1 = Figure() ax = f1.add_subplot(1, 1, 1) ax.plot(range(10)) f2 = Figure() ax = f2.add_subplot(1, 1, 1) ax.plot([x*x for x in range(10)]) show_figures([f1, f2]) or even: show_figures([Figure().add_subplot(1,1,1).plot(range(10)), Figure().add_subplot(1,1,1).plot([x*x for x in range(10)])]) ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users