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
--
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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 <rob...@gm...> 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.
>
> ------------------------------------------------------------------------------
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Hi, yes that helps a lot, reading in the boundaries from a shapefile. But does anybody know, how avoid the "double inner borders"? Coastlines seem to have a thinner border. Borders between two countries be drawn twice. <http://matplotlib.1069221.n5.nabble.com/file/n44757/map.png> Regards -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Plotting-maps-with-matplotlib-basemap-very-slow-tp44755p44757.html Sent from the matplotlib - users mailing list archive at Nabble.com.
10 seconds? That doesn't seem right. Are you running the process as an apache user or something without a home directory? I suspect that the font cache is not being created, and so it is having to build the font listing every time it starts up. Ben Root On Jan 24, 2015 1:02 PM, "Sappy85" <rob...@gm...> wrote: > Hi, yes that helps a lot, reading in the boundaries from a shapefile. > > But does anybody know, how avoid the "double inner borders"? Coastlines > seem > to have a thinner border. Borders between two countries be drawn twice. > > <http://matplotlib.1069221.n5.nabble.com/file/n44757/map.png> > > Regards > > > > -- > View this message in context: > http://matplotlib.1069221.n5.nabble.com/Plotting-maps-with-matplotlib-basemap-very-slow-tp44755p44757.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 > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
Hi Ben, i run the process as user "root" on a virtual linux server. Is this a problem? -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Plotting-maps-with-matplotlib-basemap-very-slow-tp44755p44759.html Sent from the matplotlib - users mailing list archive at Nabble.com.
On 2015年01月24日 6:11 AM, Sappy85 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')
>
You can save a lot of time by pickling the Basemap instance at this
point, saving it to a cache. Then the next time, just pickle.load it
from the cache.
Eric
> 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
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
Hi,
creating a pickle of the Basmap instance was the correct way. Now it works
great! Thank's all for that quick and helpful support!
Solution as follows:
m = Basemap (...)
pickle.dump(m,open('map.pickle','wb'),-1) # pickle it
for ... : # loop to generate x plots
pickle.load(open('map.pickle','rb')) # load here the above pickle
# do some other stuff
Regards
Sappy85
--
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