def point_cloud(df, columns=[0, 1, 2]):
    """3-D Point cloud for plotting things like mesh models of horses ;)"""
    df = df if isinstance(df, pd.DataFrame) else pd.DataFrame(df)
    if not all(c in df.columns for c in columns):
        columns = list(df.columns)[:3]

    fig = plt.figure()
    ax = fig.add_subplot(111, projection='3d')  # noqa
    Axes3D.scatter(*[df[columns[i]] for i in range(3)], zdir='z', s=20, c=None, depthshade=True)
    return ax
def point_cloud ( df , columns = [ 0 , 1 , 2 ] ) : df = df if isinstance ( df , pd . DataFrame ) else pd . DataFrame ( df ) if not all ( c in df . columns for c in columns ) : columns = list ( df . columns ) [ : 3 ] fig = plt . figure ( ) ax = fig . add_subplot ( 111 , projection = '3d' ) Axes3D . scatter ( * [ df [ columns [ i ] ] for i in range ( 3 ) ] , zdir = 'z' , s = 20 , c = None , depthshade = True ) return ax
3-D Point cloud for plotting things like mesh models of horses ;)