Thanks for your answer. I'm actually looking to plot filled curves whose points are lat/lon points on top of a given background map. The problem experienced is misrepresentation of background map when I insert it using warpimage(), the only function to do this I found so far.
Aman Thakral wrote: > > If you're just looking for points, you can use ax.scatter(). It will plot > the points. Also, make sure you set the zorder keyword argument in the > scatter. > > Example: > x=range(10) > y=range(10) > z=range(10,20) > ax.scatter(x,y,c=z,zorder=10) > > Hope this helps, > Aman > > On Fri, Sep 10, 2010 at 1:06 PM, izzybitsie <isid...@juno.com> wrote: > >> >> Hi, >> I'm new to matplotlib and I'm looking for an easy way to plot >> geographical >> data on a background map: bkgmap.png >> http://old.nabble.com/file/p29679002/bkgmap.png >> So far I only found out about warpimage() to do this but only part of >> bkgmap.png comes up in the output image. I think this is because this >> image >> has no pixels covering all the world. >> http://old.nabble.com/file/p29679002/partialbkg_polygon.png >> >> Any idea on how to insert this image as background? >> THANKS >> >> Code: the polygon displays in right position even though background >> doesn't >> show OK (tested with map,lat/lon lines drawn too) >> >> import sys >> import Image, ImageDraw # PIL >> from matplotlib.patches import Polygon >> from mpl_toolkits.basemap import Basemap >> import matplotlib.image as mpimg >> import matplotlib.pyplot as plt >> import numpy as np >> >> lat0=48 >> lon0=13 >> lllon=-15 >> lllat=20 >> urlon=73 >> urlat=57 >> map = >> >> Basemap(projection='stere',lat_0=lat0,lon_0=lon0,llcrnrlon=lllon,llcrnrlat=lllat,urcrnrlon=urlon,urcrnrlat=urlat, >> resolution='c',area_thresh=1000.) >> map.warpimage(image='bkgmap.png',scale=None,ax=plt.gca()) >> # points >> lat = [50.,55.,45.,40.,50.] >> lon = [-20.,-10.,10.,-10.,-20.] >> x0,y0 = map(lon[0],lat[0]) >> x1,y1 = map(lon[1],lat[1]) >> x2,y2 = map(lon[2],lat[2]) >> x3,y3 = map(lon[3],lat[3]) >> x4,y4 = map(lon[4],lat[4]) >> >> plt.gca().add_patch(Polygon([(x0,y0),(x1,y1),(x2,y2),(x3,y3),(x4,y4)],fill=1,facecolor='red',edgecolor='black')) >> plt.show() >> -- >> View this message in context: >> http://old.nabble.com/matplotlib-basemap-plot-geo-data-on-background-map-tp29679002p29679002.html >> Sent from the matplotlib - users mailing list archive at Nabble.com. >> >> >> >> ------------------------------------------------------------------------------ >> Start uncovering the many advantages of virtual appliances >> and start using them to simplify application deployment and >> accelerate your shift to cloud computing >> http://p.sf.net/sfu/novell-sfdev2dev >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> > > > > -- > Aman Thakral > B.Eng & Biosci, M.Eng Design > > ------------------------------------------------------------------------------ > Start uncovering the many advantages of virtual appliances > and start using them to simplify application deployment and > accelerate your shift to cloud computing > http://p.sf.net/sfu/novell-sfdev2dev > > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- View this message in context: http://old.nabble.com/matplotlib-basemap-plot-geo-data-on-background-map-tp29679002p29679748.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ Start uncovering the many advantages of virtual appliances and start using them to simplify application deployment and accelerate your shift to cloud computing http://p.sf.net/sfu/novell-sfdev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
