Hi, Have you considered reading from a suitably low-resolution shapefile instead? I suppose overlays or colors change per generation but not the geographical area.
Cheers, Christian On Sat, Jan 24, 2015 at 4:11 PM, Sappy85 <robert.wittk...@gmx.de> wrote: > I would like to draw very, very simple maps of only europe in matplotlib / > basemap, which takes very much time (around 10 seconds!). This is just > unreal!? Setting of resolution is only "l" (low). > I need to plot hundreds of those maps every few hours. This would be > impossible!!? :( > > Here is the very simple code: > > import matplotlib > matplotlib.use('Agg') > import matplotlib.pyplot as plt > from mpl_toolkits.basemap import Basemap > > m = Basemap(projection='stere',lon_0=5,lat_0=90.0,rsphere=6371200.,\ > > llcrnrlon=-25.0,urcrnrlon=72.0,llcrnrlat=26.0,urcrnrlat=65.0,resolution='l') > > m.drawcoastlines(linewidth=0.2) > m.drawcountries(linewidth=0.2) > plt.savefig('/var/www/map.png') > > > Hope you can help! :( > > Regards > > > > > > -- > View this message in context: > http://matplotlib.1069221.n5.nabble.com/Plotting-maps-with-matplotlib-basemap-very-slow-tp44755.html > Sent from the matplotlib - users mailing list archive at Nabble.com. > > ------------------------------------------------------------------------------ > New Year. New Location. New Benefits. New Data Center in Ashburn, VA. > GigeNET is offering a free month of service with a new server in Ashburn. > Choose from 2 high performing configs, both with 100TB of bandwidth. > Higher redundancy.Lower latency.Increased capacity.Completely compliant. > http://p.sf.net/sfu/gigenet > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ New Year. New Location. New Benefits. New Data Center in Ashburn, VA. GigeNET is offering a free month of service with a new server in Ashburn. Choose from 2 high performing configs, both with 100TB of bandwidth. Higher redundancy.Lower latency.Increased capacity.Completely compliant. http://p.sf.net/sfu/gigenet _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users