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From: Sterling S. <sm...@fu...> - 2012-10-16 16:10:19
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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 > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users |