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动画与轮廓matplotlib

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我试图在matplotlib 1.1.0中设置轮廓动画

基于：http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg17614.html，http://matplotlib.1069221.n5.nabble.com/Matplotlib-1-1-0-animation-vs-contour-plots-td18703.html和http://www.scipy.org/Cookbook/Matplotlib/Gridding_irregularly_spaced_data

from numpy import linspace,exp,vstack
from scipy.interpolate import griddata
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from numpy.random import uniform, seed

def main():
    seed(1234)
    x = uniform(-2,2,100)
    y = uniform(-2,2,100)
    data = vstack((x*exp(-x**2-y**2),0.5*x*exp(-x**2-y**2),0.2*x*exp(-x**2-y**2)))
    xi = linspace(min(x), max(x))
    yi = linspace(min(y), max(y))
    zi = []
    numframes = data.shape[0]
    for ii in range(numframes):
        zi.append(griddata((x, y), data[ii], (xi[None,:], yi[:,None]), method='cubic'))

    fig = plt.figure()
    im = plt.contour(xi, yi, zi[0], 15, linewidths=0.5, colors='k')
    ani = animation.FuncAnimation(fig, update_contour_plot, frames=xrange(numframes), fargs=(zi, im, fig, xi, yi), interval=100)
    plt.colorbar()
    plt.show()

def update_contour_plot(i, data, im, fig, xi, yi):
    for coll in im.collections:
        try:
            plt.gca().collections.remove(coll)
        except ValueError: #Everything is not removed for some reason!                                                                                      
            pass
    im = plt.contour(xi, yi, data[i], 15, linewidths=0.5, colors='k')
    plt.title(str(i))
    return im,

main()

1）这是最好的方法吗？另有提及 .

2）在最终输出中，前一帧的轮廓线仍然可见 . 我该如何删除它们？请参阅ValueError：

python numpy matplotlib

1 回答

  • 1

    你有一个范围问题，你在更新程序中创建的新 im 没有被传回，所以第二次通过循环你试图再次删除第一层线，它正确地抱怨它不能因为你已经删除了它们 .

    稍微调整你的代码：

    def main():
    seed(1234)
    x = uniform(-2,2,100)
    y = uniform(-2,2,100)
    data = vstack((x*exp(-x**2-y**2),0.5*x*exp(-x**2-y**2),0.2*x*exp(-x**2-y**2)))
    xi = linspace(min(x), max(x))
    yi = linspace(min(y), max(y))
    zi = []
    numframes = data.shape[0]
    for ii in range(numframes):
        zi.append(griddata((x, y), data[ii], (xi[None,:], yi[:,None]), method='cubic'))

    fig = plt.figure()
    im = plt.contour(xi, yi, zi[0], 15, linewidths=0.5, colors='k')
    ax = fig.gca()
    ani = animation.FuncAnimation(fig, update_contour_plot, frames=xrange(numframes), fargs=(zi, ax, fig, xi, yi), interval=100)
    plt.colorbar(im)
    plt.show()
    return ani


def update_contour_plot(i, data,  ax, fig, xi, yi):
    ax.cla()
    im = ax.contour(xi, yi, data[i], 15, linewidths=0.5, colors='k')
    plt.title(str(i))
    return im,

    另一种选择是使 im 成为某种可变的（如将其包装在字典中），以便您的更改将在帧与帧之间传播 .

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