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imshow(A, interpolation='none', cmap=cmap, norm = mpl.colors.Normalize(vmin=-1.,vmax=1.)) else: plt.imshow(A, interpolation='none', cmap=cmap) plt.colorbar(format=ticker.FuncFormatter(fmt)) ax.spy(A, marker='.', markersize=0, precision=precision) ax.spines['right'].set_visible(...
"" # Number of interpolation points minus one n = 5 toll = 1.e-6 points = np.linspace(0, 1, (n+1) ) R = 1 P = 1 control_points_2d = np.asmatrix(np.zeros([n+1,2]))#[np.array([R*np.cos(5*i * np.pi / (n + 1)), R*np.sin(5*i * np.pi / (n + 1)),...