use new colorbar method.

Author: Jeff Whitaker

examples/plotmap.py

@@ -27,17 +27,13 @@
 topodat,x,y = m.transform_scalar(topoin,lons,lats,nx,ny,returnxy=True)
 # create the figure.
 fig=plt.figure(figsize=(8,8))
-# add an axes, leaving room for colorbar on the right.
-ax = fig.add_axes([0.1,0.1,0.7,0.7])
+# add an axes.
+ax = fig.add_axes([0.1,0.1,0.8,0.8])
 # associate this axes with the Basemap instance.
 m.ax = ax
 # plot image over map with imshow.
 im = m.imshow(topodat,plt.cm.jet)
-# setup colorbar axes instance.
-pos = ax.get_position()
-l, b, w, h = pos.bounds
-cax = plt.axes([l+w+0.075, b, 0.05, h])
-plt.colorbar(im,cax=cax) # draw colorbar
+cb = m.colorbar(im,location='right',pad='10%') # draw colorbar
 # plot blue dot on boulder, colorado and label it as such.
 xpt,ypt = m(-104.237,40.125) 
 m.plot([xpt],[ypt],'bo') 

examples/simpletest_oo.py

@@ -20,8 +20,8 @@
 fig = Figure()
 canvas = FigureCanvas(fig)
 
-# create axes instance, leaving room for colorbar at bottom.
-ax = fig.add_axes([0.125,0.175,0.75,0.75])
+# create axes instance
+ax = fig.add_axes([0.1,0.1,0.8,0.8])
 
 # create Basemap instance for Robinson projection.
 # set 'ax' keyword so pylab won't be imported.
@@ -40,11 +40,9 @@
 # add a title.
 ax.set_title('Robinson Projection')
 
-# add a colorbar.
-pos = ax.get_position()
-l, b, w, h = pos.bounds
-cax = fig.add_axes([l, b-0.1, w, 0.03],frameon=False) # setup colorbar axes
-fig.colorbar(cs, cax=cax, orientation='horizontal',ticks=cs.levels[::3])
+# add a colorbar (must specify mappable and fig keywords, of pyplot will be
+# invoked) .
+cb=m.colorbar(mappable=cs,location='right',size='5%',pad='2%',ticks=cs.levels[::3],fig=fig)
 
 # save image (width 800 pixels with dpi=100 and fig width 8 inches).
 canvas.print_figure('simpletest',dpi=100)