README

Author: dkogan

README.org

@@ -409,17 +409,25 @@ arrays.
 Also, note that while the DEFAULT tuplesize depends on whether we're making a 3D
 plot, once a tuplesize is given, the logic doesn't care if a 3D plot is being
 made. It can make sense to have a 2D implicit domain when making 2D plots. For
-example, one can be plotting a color map:
+example, one can be plotting a color map from an array of shape (H,W):
 
 #+BEGIN_SRC python
 x,y = np.ogrid[-10:11,-10:11]
 gp.plot( x**2 + y**2,
          title     = 'Heat map',
-         set       = 'view map',
          _with     = 'image',
          tuplesize = 3)
 #+END_SRC
 
+Or a full-color image from an array of shape (H,W,3)
+
+#+BEGIN_SRC python
+gp.plot( *nps.mv(image, -1,0),
+         title     = 'Full-color image',
+         _with     = 'rgbimage',
+         tuplesize = 5)
+#+END_SRC
+
 Also note that the 'tuplesize' curve option is independent of implicit domains.
 This option specifies not how many data arrays we have, but how many values
 represent each data point. For example, if we want a 2D line plot with varying
@@ -1137,7 +1145,6 @@ Image arrays plots can be plotted as a heat map:
 x,y = np.ogrid[-10:11,-10:11]
 gp.plot( x**2 + y**2,
          title     = 'Heat map',
-         set       = 'view map',
          _with     = 'image',
          tuplesize = 3)
 #+END_SRC