• valavel

    Hi I am trying to learn Python and Pythonista trying to run this downloaded code, but I get a too many values error. Any help here or in understand 3D vector fields will be appreciated.
    BTW the link to this forum from the Pythonista console does not work.

    # The first step is to import the required packages. The aliases `plt` and 
    # `np` are coding conventions.
    # * `Axes3D` allows adding 3d objects to a 2d matplotlib plot.
    # * The `pyplot` submodule from the **matplotlib** library, a python 2D
    # plotting library which produces publication quality figures.  
    # * The `numpy` library for efficient numeric-array manipulation
    from mpl_toolkits.mplot3d import Axes3D
    import matplotlib.pyplot as plt
    import numpy as np
    
    # Now we set up the data to plot, the `x`, `y` and `z` arrays are the
    # coordinates for the start points of each arrow, whilst the `u`, `v` and 
    # `w` arrays are the coordinates of the endpoints.
    x, y, z = np.meshgrid(np.arange(-0.8, 1, 0.2),
                          np.arange(-0.8, 1, 0.2),
                          np.arange(-0.8, 1, 0.8))
    
    u = np.sin(np.pi * x) * np.cos(np.pi * y) * np.cos(np.pi * z)
    v = -np.cos(np.pi * x) * np.sin(np.pi * y) * np.cos(np.pi * z)
    w = (np.sqrt(2.0 / 3.0) * np.cos(np.pi * x) * np.cos(np.pi * y) *
         np.sin(np.pi * z))
    
    # Now we create the plot with `quiver()`. The 1.4.x version of newer of the
    # **matplotlib** library is required for this command to work. For the colour
    # of the arrows it is possible to use either html hexadecimal codes, html
    # colour names or a 3-tuple of rgb values.
    fig = plt.figure()
    ax = fig.gca(projection='3d')
    
    ax.quiver(x, y, z, u, v, w,                 # data
              length=0.15,                      # arrow length
              color='Tomato'                 # arrow colour
              )
    
    ax.set_title('3D Vector Field')             # title
    ax.view_init(elev=18, azim=30)              # camera elevation and angle
    ax.dist=8                                   # camera distance
    
    plt.show()
    

    posted in Pythonista read more

Internal error.

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