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    <p>Because you don't seem to need any axes you can also use a normal projection, remove the axes and draw a circle. I had some fun and added some bonus ears, a nose and a color bar. I annotated the code, I hope it is clear.</p> <p><img src="https://i.stack.imgur.com/YhhQs.png" alt="EEG"></p> <pre><code>from __future__ import print_function from __future__ import division from __future__ import absolute_import import scipy.interpolate import numpy import matplotlib import matplotlib.pyplot as plt # close old plots plt.close("all") # some parameters N = 300 # number of points for interpolation xy_center = [2,2] # center of the plot radius = 2 # radius # mostly original code meanR = [9.95184937, 9.87947708, 9.87628496, 9.78414422, 9.79365258, 9.96168969, 9.87537519, 9.74536093, 10.16686878, 10.04425475, 10.10444126, 10.2917172 , 10.16745917, 10.0235203 , 9.89914 , 10.11263505, 9.99756449, 10.17861254, 10.04704248] koord = [[1,4],[3,4],[1,3],[3,3],[2,3],[1,2],[3,2],[2,2],[1,1],[3,1],[2,1],[1,0],[3,0],[0,3],[4,3],[0,2],[4,2],[0,1],[4,1]] x,y = [],[] for i in koord: x.append(i[0]) y.append(i[1]) z = meanR xi = numpy.linspace(-2, 6, N) yi = numpy.linspace(-2, 6, N) zi = scipy.interpolate.griddata((x, y), z, (xi[None,:], yi[:,None]), method='cubic') # set points &gt; radius to not-a-number. They will not be plotted. # the dr/2 makes the edges a bit smoother dr = xi[1] - xi[0] for i in range(N): for j in range(N): r = numpy.sqrt((xi[i] - xy_center[0])**2 + (yi[j] - xy_center[1])**2) if (r - dr/2) &gt; radius: zi[j,i] = "nan" # make figure fig = plt.figure() # set aspect = 1 to make it a circle ax = fig.add_subplot(111, aspect = 1) # use different number of levels for the fill and the lines CS = ax.contourf(xi, yi, zi, 60, cmap = plt.cm.jet, zorder = 1) ax.contour(xi, yi, zi, 15, colors = "grey", zorder = 2) # make a color bar cbar = fig.colorbar(CS, ax=ax) # add the data points # I guess there are no data points outside the head... ax.scatter(x, y, marker = 'o', c = 'b', s = 15, zorder = 3) # draw a circle # change the linewidth to hide the circle = matplotlib.patches.Circle(xy = xy_center, radius = radius, edgecolor = "k", facecolor = "none") ax.add_patch(circle) # make the axis invisible for loc, spine in ax.spines.iteritems(): # use ax.spines.items() in Python 3 spine.set_linewidth(0) # remove the ticks ax.set_xticks([]) ax.set_yticks([]) # Add some body parts. Hide unwanted parts by setting the zorder low # add two ears circle = matplotlib.patches.Ellipse(xy = [0,2], width = 0.5, height = 1.0, angle = 0, edgecolor = "k", facecolor = "w", zorder = 0) ax.add_patch(circle) circle = matplotlib.patches.Ellipse(xy = [4,2], width = 0.5, height = 1.0, angle = 0, edgecolor = "k", facecolor = "w", zorder = 0) ax.add_patch(circle) # add a nose xy = [[1.5,3], [2,4.5],[2.5,3]] polygon = matplotlib.patches.Polygon(xy = xy, facecolor = "w", zorder = 0) ax.add_patch(polygon) # set axes limits ax.set_xlim(-0.5, 4.5) ax.set_ylim(-0.5, 4.5) plt.show() </code></pre>
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    1. POHow to fit result of matplotlib.pyplot.contourf into circle?
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    1. USRobbert
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    1. COvery nice @Robbert. Why don't you use a simple [`Circle`](http://matplotlib.org/api/artist_api.html#matplotlib.patches.Circle) instead of the `Wedge`?
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      1. USFrancesco Montesano
    2. COBecause I overlooked it. I edited the code, it now uses a `Circle`.
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      1. USRobbert
    3. CO+1 for the bonus ears and nose.
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      1. USCody Piersall
 

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