I tested the same plot with a background image in Mercator with same results
and I also tested with Mercator covering almost the entire world with the
same results. Only a little portion of the background image shows as
background although the polygon looks OK in all cases (with maps drawn and
with either background image).
Unfortunately, I must use the provided background images for my project.  
I may need to look for some other tool to accomplish drawing curves on a
provided background image instead of relying on matplotlib.  
I did not understand the need for me to write my own transformation
functions. I only used lat/lon->x/y for the points in the curve and the
polygon shows up OK. What should I write my own transformations for?
THANKS

izzybitsie wrote:
> 
> 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.
>>>
>>>
>>>
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>> 
>> 
>> 
>> -- 
>> 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
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>> 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-tp29679002p29679934.html
Sent from the matplotlib - users mailing list archive at Nabble.com.


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