def draw_client_density():

    m = Basemap(llcrnrlon=-180.,llcrnrlat=-90,urcrnrlon=180.,urcrnrlat=90.,\
                resolution='c',projection='cyl')

    # plot them as filled circles on the map.
    # first, create a figure.
    dpi=100
    dimx=800/dpi
    dimy=400/dpi
    fig=figure(figsize=(dimx,dimy), dpi=dpi, frameon=False, facecolor='blue')
#    ax=fig.add_axes([0.1,0.1,0.7,0.7],axisbg='g')
    ax=fig.add_axes([0.0,0.0,1.0,1.0],axisbg='g')
    canvas = FigureCanvas(fig)
    results = lookup_client_locations()
    X,Y,Z = find_client_density(m,results)
#    s = random.sample(results, 40000)
#    for t in s:
#        lat=t[2]
#        lon=t[3]
#        # draw a red dot at the center.
#        xpt, ypt = m(lon, lat)
#        m.plot([xpt],[ypt],'ro', zorder=10)
    # draw coasts and fill continents.
    m.drawcoastlines(linewidth=0.5)
    m.drawcountries(linewidth=0.5)
    m.drawlsmask([100,100,100,0],[0,0,255,255])
#    m.fillcontinents(color='green')
    palette = cm.YlOrRd
    m.imshow(Z,palette,extent=(m.xmin,m.xmax,m.ymin,m.ymax),interpolation='gaussian',zorder=0)
#    l,b,w,h = ax.get_position()
#    cax = axes([l+w+0.075, b, 0.05, h])
#    colorbar(cax=cax) # draw colorbar

    canvas.print_figure(outdir+'/clientmap.png', dpi=100)
예제 #2
0
from matplotlib.toolkits.basemap import Basemap
from pylab import title, show, arange
# create Basemap instance for Orthographic (satellite view) projection.
lon_0 = float(raw_input('enter reference longitude (lon_0):'))
lat_0 = float(raw_input('enter reference latitude (lat_0):'))
m = Basemap(projection='ortho', lon_0=lon_0, lat_0=lat_0)
# plot land-sea mask.
rgba_land = (0, 255, 0, 255)  # land green.
rgba_ocean = (0, 0, 255, 255)  # ocean blue.
# lakes=True means plot inland lakes with ocean color.
m.drawlsmask(rgba_land, rgba_ocean, lakes=True)
# draw parallels and meridians.
m.drawparallels(arange(-90., 120., 30.))
m.drawmeridians(arange(0., 420., 60.))
m.drawmapboundary()
title('Orthographic Map Centered on Lon=%s, Lat=%s' % (lon_0, lat_0))
show()
예제 #3
0
from matplotlib.toolkits.basemap import Basemap
from pylab import title, show, arange
# create Basemap instance for Geostationary (satellite view) projection.
lon_0 = float(raw_input('enter reference longitude (lon_0):'))
h = float(raw_input('enter satellite height above equator in meters (satellite_height):'))
m = Basemap(projection='geos',lon_0=lon_0,satellite_height=h,rsphere=(6378137.00,6356752.3142),)
# plot land-sea mask.
rgba_land = (0,255,0,255) # land green.
rgba_ocean = (0,0,255,255) # ocean blue.
# lakes=True means plot inland lakes with ocean color.
m.drawlsmask(rgba_land, rgba_ocean, lakes=True)
# draw parallels and meridians.
m.drawparallels(arange(-90.,120.,30.))
m.drawmeridians(arange(0.,420.,60.))
m.drawmapboundary()
title('Geostationary Map Centered on Lon=%s, Satellite Height=%s' % (lon_0,h))
show()