matlab - How to make 3D plots in Python? -

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this matlab version of 3d plotting code: edit: current code:

        plt.figure(2)         fig_b = axes3d(fig2)         xx2 = np.arange(0, l+h_grid*l, h_grid*l)         yy2 = np.arange(-b, b+h_grid*b, h_grid*b)         x, y = np.meshgrid(xx2, yy2)         w = np.zeros((41,21), float)         mx = len(xx2)*len(yy2)         x = np.reshape(x, (1, mx))         y = np.reshape(y, (1, mx))         w = np.reshape(w, (1, mx))         j in range(0, mx):             w[0][j] = np.sin(np.pi*x[0][j]/l)         surf = fig_b.plot_surface(x, y, w, rstride=1, cstride=1, cmap=cm.jet, linewidth=0, antialiased=false) # line number 168         plt.xlabel('x')         plt.ylabel('y')

this error message get:

traceback (most recent call last):   file "nonhomog.py", line 247, in <module>     main()   file "nonhomog.py", line 245, in main     nonhomog(nu)   file "nonhomog.py", line 168, in nonhomog     surf = fig_b.plot_surface(x, y, w, rstride=1, cstride=1, cmap=cm.jet, linewidth=0, antialiased=false)   file "/usr/lib/pymodules/python2.6/mpl_toolkits/mplot3d/axes3d.py", line 618, in plot_surface     polyc = art3d.poly3dcollection(polys, *args, **kwargs)   file "/usr/lib/pymodules/python2.6/mpl_toolkits/mplot3d/art3d.py", line 290, in __init__     polycollection.__init__(self, verts, *args, **kwargs)   file "/usr/lib/pymodules/python2.6/matplotlib/collections.py", line 668, in __init__     self.set_verts(verts, closed)   file "/usr/lib/pymodules/python2.6/mpl_toolkits/mplot3d/art3d.py", line 312, in set_verts     self.get_vector(verts)   file "/usr/lib/pymodules/python2.6/mpl_toolkits/mplot3d/art3d.py", line 305, in get_vector     xs, ys, zs = zip(*points) valueerror: need more 0 values unpack

after setting mesh grid x , y, need come grid z values.

the way in code is:

# [ (x1, y1, z1), (x2, y2, z2), ... (xn, yn, zn) ] all_vals = ... # (x1, x2, ... xn) , (y1, y2, ... yn) , (z1, z2, ... zn) all_xvals, all_yvals, all_zvals = zip(*all_vals) fig = plt.figure() ax = axes3d(fig) x, y = np.meshgrid(xvals, yvals) # part want: z1 = np.zeros(x.shape, float) (x, y, z) in all_vals:     x = find_in_sorted_list(x, xvals)     y = find_in_sorted_list(y, yvals)     z1[y,x] = z     surf = ax.plot_surface(x, y, z1, rstride=1, cstride=1, cmap=cm.jet,         linewidth=0, antialiased=false) plt.xlabel('blur standard deviation')   plt.ylabel('jpeg quality') ax.w_zaxis.set_major_locator(linearlocator(10)) ax.w_zaxis.set_major_formatter(formatstrformatter('%.03f'))     fig.colorbar(surf, shrink=0.5, aspect=5)     plt.show()

this gives me plot looks this:

surf

i've saved file, when call plt.show(), interactive window can change viewpoint want.


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