The following picture is an example of what incredible graphical charts can be created using Python with the Matplotlib module:

In the following code snippet, I have copied some code from the http://matplotlib.org/ website, which creates this incredible chart. I have also added some comments to the code. There are many examples available on this site, and I encourage you to try them out until you find the kind of charts you would like to create.

Here is the code to create the chart in less than 25 lines of Python code, including white spaces:

    from mpl_toolkits.mplot3d import Axes3D                                  
    from matplotlib import cm 
    from matplotlib.ticker import LinearLocator, FormatStrFormatter 
    import matplotlib.pyplot as plt 
    import numpy as np 

    fig = plt.figure()                        # create a figure
    ax = fig.gca(projection='3d')             # create a 3-dimensional axis
    X = np.arange(-5, 5, 0.25)                # horizontal range
    Y = np.arange(-5, 5, 0.25)                # vertical range
    X, Y = np.meshgrid(X, Y)                  # create a special grid
    R = np.sqrt(X**2 + Y**2)                  # calculate square root
    Z = np.sin(R)                             # calculate sinus

    ## use #@UndefinedVariable below to ignore the error for cm.coolwarm
    surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, 
                           cmap=cm.coolwarm, linewidth=0, 
                           antialiased=False)    
    ax.set_zlim(-1.01, 1.01)                  # z-axis is third dimension

    ax.zaxis.set_major_locator(LinearLocator(10)) 
    ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f')) 

    fig.colorbar(surf, shrink=0.5, aspect=5) 

    plt.show()                                # display the figure

Just ignore those errors if you are developing using Eclipse, as the code will run successfully.