Hi matplotlib users, I have a small web application for calculating tsunami travel times (http://ocean.dmi.dk/apps/tsunami). The application uses matplotlib/basemap for producing contour maps of the tsunami travel times.
To speed up the response time of the application I made a version in which the calculations are performed for every second integer longitude and latitude for calculation windows of 60x60 degrees lon x lat, 90x90, 180x180 and global. This is a lot of plots for which I am making a new Basemap instances for each plot since: llcrnrlon llcrnrlat urcrnrlon urcrnrlat differs for each plot. The initialization of the Basemap instances are responsible for the vast majority of the CPU usage in the application. In converting the application to numpy (from numarray) I was wondering whether I could reduce the plotting time as well. Is it possible to reuse a Basemap instance somehow in my case or is that out of the question? Regards, Jesper ------------------------------------------------------------------------- This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
