Hari, You can give a number to figure(), as in figure(1), and it will reuse figure 1. Also, you can close figure 1 with pyplot.close(1).
-Sterling On Oct 16, 2012, at 8:25AM, hari jayaram wrote: > Hi > I am a relative newbie to matplotlib. > > I have a python script that handles a dataset that comprises 384 sets of data. > > At the present moment , I read in a set of data - process it - and the create > a figure using code shown below. > I am using windows with the default backend ( I think I set it to wx). > > When I run the program, figure after figure shows up..the program continues > from well to well plotting the figure. I can close the figure window using > the X on the right -hand side..while the program chugs along. > > Is there a way to just recycle the figure object , so that the plot shows up > for a brief second and refreshes when the next calculation is complete. Each > process_data function , takes a few minutes. > > Alternatively I just want to close the figure object I show after a brief > lag. I am OK if that happens instantaneously..but I dont know how to achieve > this. > Do I have to use the matplotlib.Figure object to achieve this functionality > > Thanks > Hari > > > > > > from matplotlib.pyplot import figure > > def do_my_plot(well_id): > processed_data_object = processed_dict[well_id] > fig = figure(figsize=(7,7) > ax = fig.add_subplot(1,1,1) > par1 =ax.twinx() > par2 = ax.twinx() > # Plot all the data > par1.plot(processed_data_object.raw_x,processed_data_object.raw_y). > par2.plot(.... > # finally > fig.show() > # I tried fig.clf() > > > def plot_and_process_data(): > for well_id in list_of_384_well_ids: > process_data(well_id) > do_my_plot(well_id) > > > > > > > > > > > > ------------------------------------------------------------------------------ > Don't let slow site performance ruin your business. Deploy New Relic APM > Deploy New Relic app performance management and know exactly > what is happening inside your Ruby, Python, PHP, Java, and .NET app > Try New Relic at no cost today and get our sweet Data Nerd shirt too! > http://p.sf.net/sfu/newrelic-dev2dev_______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ Don't let slow site performance ruin your business. Deploy New Relic APM Deploy New Relic app performance management and know exactly what is happening inside your Ruby, Python, PHP, Java, and .NET app Try New Relic at no cost today and get our sweet Data Nerd shirt too! http://p.sf.net/sfu/newrelic-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
