python 奇怪吸引子可视化

plt.close('all')

def lighter(clr, f=1/3):
    """
    An implementation of Mathematica's Lighter[] 
    function for RGB colors
    clr : 3-tuple or list, an RGB color
    f : float, the fraction by which to brighten
    """
    gaps = [f*(1 - val) for val in clr]
    new_clr = [val + gap for gap, val in zip(gaps, clr)]
    return new_clr

def plot3dproj(x, y, z, *args, color=(0,0,0), shadow_dist=1.0, color_proj=None, 
    elev_azim=(39,-47), show_labels=True, **kwargs):
    """
    Create a three dimensional plot, with projections onto the 2D coordinate
    planes
    
    Parameters
    ----------
    x, y, z : 1D arrays of coordinates to plot
    *args : arguments passed to the matplotlib plt.plot functions
    - color : length-3 tuple
        The RGB color (with each element in [0,1]) to use for the
        three dimensional line plot
    - color_proj : length-3 tuple
        The RGB color (with each element in [0,1]) to use for the
        two dimensional projection plots. Defaults to a lighter version of the 
        plotting color
    - shadow_dist : float
        The relative distance of axes to their shadow. If a single value, 
        then the same distance is used for all three axies. If a triple, then 
        different values are used for all axes
    - elev_azim : length-2 tuple
        The starting values of elevation and azimuth when viewing the figure
    - show_labels : bool
        Whether to show numerical labels on the axes
    """

    if not color_proj:
        color_proj = lighter(color, .6)


    if np.isscalar(shadow_dist) == 1:
        sdist_x = shadow_dist
        sdist_y = shadow_dist
        sdist_z = shadow_dist
    else:
        sdist_x, sdist_y, sdist_z = shadow_dist

    fig = plt.figure(figsize=(7,7))
    ax = fig.add_subplot(111, projection= '3d')
    
    ax.plot(x, z, *args, zdir='y', zs=sdist_y*np.max(y), color=color_proj, **kwargs)
    ax.plot(y, z, *args, zdir='x', zs=sdist_x*np.min(x), color=color_proj, **kwargs)
    ax.plot(x, y, *args, zdir='z', zs=sdist_z*np.min(z), color=color_proj, **kwargs)
    ax.plot(x, y, z, *args, color=color, **kwargs)

    ax.view_init(elev=elev_azim[0], azim=elev_azim[1])
    ax.set_aspect('auto', adjustable='box') 
    
    if not show_labels:
        ax.set_xticklabels([])                               
        ax.set_yticklabels([])                               
        ax.set_zticklabels([])

    return ax



x = np.loadtxt('dataset/trajectories.txt', delimiter=',')[:50000]
plt.figure()
plot3dproj(x[:,0], x[:,1], x[:,2], shadow_dist=2, elev_azim=(25,-37), linewidth=.15)
plt.show()

参考：https://github.com/jennieJiang/fnn