#!/usr/bin/env python from pylab import * origin = 'lower' #origin = 'upper' test_masking = False # There is a bug in filled contour masking. if test_masking: # Use a coarse grid so only a few masked points are needed. delta = 0.5 else: delta = 0.025 x = y = arange(-3.0, 3.01, delta) X, Y = meshgrid(x, y) Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0) Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1) Z = 10 * (Z1 - Z2) # interior badmask doesn't work yet for filled contours if test_masking: badmask = zeros(shape(Z)) badmask[5,5] = 1 badmask[5,6] = 1 Z[5,5] = 0 Z[5,6] = 0 badmask[0,0] = 1 Z[0,0] = 0 Z = ma.array(Z, mask=badmask) # We are using automatic selection of contour levels; # this is usually not such a good idea, because they don't # occur on nice boundaries, but we do it here for purposes # of illustration. CS = contourf(X, Y, Z, 10, # [-1, -0.1, 0, 0.1], #alpha=0.5, cmap=cm.bone, origin=origin) # Note that in the following, we explicitly pass in a subset of # the contour levels used for the filled contours. Alternatively, # We could pass in additional levels to provide extra resolution. CS2 = contour(X, Y, Z, CS.levels[::2], colors = 'r', origin=origin, hold='on') title('Nonsense') xlabel('word length anomaly') ylabel('sentence length anomaly') # Make a colorbar for the ContourSet returned by the contourf call. cbar = colorbar(CS) cbar.ax.set_ylabel('verbosity coefficient') # Add the contour line levels to the colorbar cbar.add_lines(CS2) figure() # Now make a contour plot with the levels specified, # and with the colormap generated automatically from a list # of colors. levels = [-2, -1.5, -1, -0.5, 0, 0.5, 1, 1.5] CS3 = contourf(X, Y, Z, levels, colors = ('r', 'g', 'b'), origin=origin) CS4 = contour(X, Y, Z, levels, colors = ('k',), linewidths = (3,), origin = origin) title('Listed colors') clabel(CS4, fmt = '%2.1f', colors = 'w', fontsize=14) colorbar(CS3) #savefig('contourf_demo') show()