Whoops, make that:
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import matplotlib.lines as lines
import numpy as np
m = Basemap(llcrnrlon=-11.5,llcrnrlat=51.0,urcrnrlon=-4.5,urcrnrlat=56.0,
resolution='i',projection='cass',lon_0=-4.36,lat_0=54.7)
lats = [53.5519317,53.8758499, 54.2894659, 55.2333142,
54.9846137,54.7064869, 51.5296651, 51.5536226, 51.7653115, 52.1625237,
52.5809163, 52.9393892]
lons = [-9.9413447, -9.9621948, -8.9583439, -7.6770179, -8.3771698,
-8.7406732, -8.9529546, -9.7907148, -10.1531573, -10.4099873,
-9.8456417, -9.4344939]
x, y = m(lons, lats) # forgot this line
m.plot(x, y, 'D-', markersize=10, linewidth=2, color='k', markerfacecolor='b')
m.drawcoastlines()
plt.show()
On Thu, Mar 1, 2012 at 6:43 PM, Paul Hobson <pmhob...@gmail.com> wrote:
> David,
>
> The loop is you have is unnecessary. You can plot the markers and the
> lines at the same time like so:
> from mpl_toolkits.basemap import Basemap
> import matplotlib.pyplot as plt
> import matplotlib.lines as lines
> import numpy as np
>
> m = Basemap(llcrnrlon=-11.5,llcrnrlat=51.0,urcrnrlon=-4.5,urcrnrlat=56.0,
> resolution='i',projection='cass',lon_0=-4.36,lat_0=54.7)
>
> lats = [53.5519317,53.8758499, 54.2894659, 55.2333142,
> 54.9846137,54.7064869, 51.5296651, 51.5536226, 51.7653115, 52.1625237,
> 52.5809163, 52.9393892]
>
> lons = [-9.9413447, -9.9621948, -8.9583439, -7.6770179, -8.3771698,
> -8.7406732, -8.9529546, -9.7907148, -10.1531573, -10.4099873,
> -9.8456417, -9.4344939]
>
> m.plot(x, y, 'D-', markersize=10, linewidth=2, color='k', markerfacecolor='b')
> m.drawcoastlines()
> plt.show()
>
> Hope that helps,
> -paul
>
> On Wed, Feb 29, 2012 at 4:27 AM, David Craig <dcdavem...@gmail.com> wrote:
>> Hi,
>> I'm trying to produce a map with 12 locations marked on it and straight
>> lines plotted between each point and all other points on the map. I have
>> the map with the locations ok but am having trouble getting the lines.
>> My code is below anyone know how to do this??
>> Thanks
>> D
>>
>> from mpl_toolkits.basemap import Basemap
>> import matplotlib.pyplot as plt
>> import matplotlib.lines as lines
>> import numpy as np
>>
>> m = Basemap(llcrnrlon=-11.5,llcrnrlat=51.0,urcrnrlon=-4.5,urcrnrlat=56.0,
>> resolution='i',projection='cass',lon_0=-4.36,lat_0=54.7)
>>
>> lats = [53.5519317,53.8758499, 54.2894659, 55.2333142,
>> 54.9846137,54.7064869, 51.5296651, 51.5536226, 51.7653115, 52.1625237,
>> 52.5809163, 52.9393892]
>>
>> lons = [-9.9413447, -9.9621948, -8.9583439, -7.6770179, -8.3771698,
>> -8.7406732, -8.9529546, -9.7907148, -10.1531573, -10.4099873,
>> -9.8456417, -9.4344939]
>>
>> x, y = m(lons, lats)
>> for i in range(len(lons)):
>> for j in range(len(lons)):
>> if i == j: continue
>> m.plot([x[i],y[i]],[x[j],y[j]],'k')
>>
>> m.plot(x, y, 'bD', markersize=10)
>> m.drawcoastlines()
>> #m.drawmapboundary()
>> #plt.savefig('/media/A677-86E0/dot_size'+str(i)+'.png')
>> plt.show()
>>
>>
>> ------------------------------------------------------------------------------
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>> Cloud computing makes use of virtualization - but cloud computing
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>> http://www.accelacomm.com/jaw/sfnl/114/51521223/
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------------------------------------------------------------------------------
Virtualization & Cloud Management Using Capacity Planning
Cloud computing makes use of virtualization - but cloud computing
also focuses on allowing computing to be delivered as a service.
http://www.accelacomm.com/jaw/sfnl/114/51521223/
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