Python Matplotlib错误Line2d对象在tkinter回调中不可编辑错误未显示任何内容

代码如下所示。我正在尝试使用前面计算的向量设置动画，一个图形窗口被打开，所以我知道它走了这么远，向量被正确计算。但是matplotlib只输出图形窗口，我不知道为什么。请帮忙

#finally animateing
fig = plt.figure()
ax = plt.axes(xlim = (-1000,1000) ,ylim = (-1000,1000))#limits were arbitrary
#line = ax.plot([],[])
line, = ax.plot([], [], lw=2)

# initialization function: plot the background of each frame
def init():
    line.set_data([], [])
    return line,


def animate(i):
 x = time_vec[i]
 y = complex_vec[i]
 #y1 = real_vec[i] 
 #y2 = modulus_vec[i]
 line.set_data(x,y)
 #line.set_data(x,y1)
 #line.set_data(x,y2) 
 return line,

animation_object = animation.FuncAnimation(fig, animate, init_func= init, frames = num_files,interval = 30, blit = True)

#turnn this line on to save as mp4
#anim.save("give it a name.mp4", fps = 30, extra-args = ['vcodec', 'libx264'])
plt.show()

完整的错误消息如下所示

    Traceback (most recent call last):
  File "the_animation.py", line 71, in <module>
    plt.show()
  File "/usr/lib/pymodules/python2.7/matplotlib/pyplot.py", line 145,     in show
    _show(*args, **kw)
  File "/usr/lib/pymodules/python2.7/matplotlib/backend_bases.py",     line 117, in __call__
    self.mainloop()
  File     "/usr/lib/pymodules/python2.7/matplotlib/backends/backend_tkagg.py", line     69, in mainloop
    Tk.mainloop()
  File "/usr/lib/python2.7/lib-tk/Tkinter.py", line 366, in mainloop
    _default_root.tk.mainloop(n)
  File "/usr/lib/python2.7/lib-tk/Tkinter.py", line 1484, in __call__
    def __call__(self, *args):

---

这里的问题是在

动画

功能中，您多次使用

设置数据

，这与您认为的功能不同。当它是一个集合时，你就像一个附加一样使用它。参数应该是两个数组，分别包含该行的x和y值。这将为您的最小示例设置动画：

import numpy as np
from matplotlib import pyplot as plt
from matplotlib import animation

complex_vec = np.arange(5,6,.001)
real_vec = np.arange(7,8,.001)
time_vec = np.arange(0,1,.001)
num_files = np.size(time_vec)

#creating the modulus vector
modulus_vec = np.zeros(np.shape(complex_vec))
for k in range (0,complex_vec.size):
    a = complex_vec[k]
    b = real_vec[k]
    calc_modulus = np.sqrt(a**2 + b**2)
    modulus_vec[k] = calc_modulus

#finally animateing
fig = plt.figure()
ax = plt.axes(xlim = (-1,1) ,ylim = (-1,15))#limits were     arbitrary
#line = ax.plot([],[])
line, = ax.plot([], [], lw=2)

# initialization function: plot the background of each frame
def init():
    line.set_data([], [])
    return line,

def animate(i):
    x = time_vec[i]
    y = complex_vec[i]
    y1 = real_vec[i] 
    y2 = modulus_vec[i]
    # notice we are only calling set_data once, and bundling the y values into an array
    line.set_data(x,np.array([y, y1, y2]))
    return line,

animation_object = animation.FuncAnimation(fig, 
                                           animate, 
                                           init_func= init, 
                                           frames = num_files,
                                           interval = 30, 
                                           blit = True)

#turnn this line on to save as mp4
#anim.save("give it a name.mp4", fps = 30, extra-args = ['vcodec',     'libx264'])
plt.show()

---

您以前的尝试是设置x和y值，然后用新的x和y覆盖上一个值，然后再次执行此操作

你在哪一行收到你的标题上写的错误？这是更奇怪的部分，我将在短短几分钟内发布错误消息moment@Ioma你确定这就是全部错误？因为你的错误输出没有错误，你是对的，我支持，因为没有显示任何东西，我会得到一个错误，但这只是弹出的，所以我假设这是一个错误，但我猜不是，但是我现在真的很困惑，因为即使运行2小时，它仍然没有显示任何东西，只是图形窗口没有轴nothing@Ioma有吗如果是一个脚本，你可以发布或链接到这个文件，这算是一个最小的例子吗？如果没有可靠的错误输出或对文件的访问，则很难进行调试

import numpy as np
from matplotlib import pyplot as plt
from matplotlib import animation

complex_vec = np.arange(5,6,.001)
real_vec = np.arange(7,8,.001)
time_vec = np.arange(0,1,.001)
num_files = np.size(time_vec)

#creating the modulus vector
modulus_vec = np.zeros(np.shape(complex_vec))
for k in range (0,complex_vec.size):
    a = complex_vec[k]
    b = real_vec[k]
    calc_modulus = np.sqrt(a**2 + b**2)
    modulus_vec[k] = calc_modulus

#finally animateing
fig = plt.figure()
ax = plt.axes(xlim = (-1,1) ,ylim = (-1,15))#limits were     arbitrary
#line = ax.plot([],[])
line, = ax.plot([], [], lw=2)

# initialization function: plot the background of each frame
def init():
    line.set_data([], [])
    return line,

def animate(i):
    x = time_vec[i]
    y = complex_vec[i]
    y1 = real_vec[i] 
    y2 = modulus_vec[i]
    # notice we are only calling set_data once, and bundling the y values into an array
    line.set_data(x,np.array([y, y1, y2]))
    return line,

animation_object = animation.FuncAnimation(fig, 
                                           animate, 
                                           init_func= init, 
                                           frames = num_files,
                                           interval = 30, 
                                           blit = True)

#turnn this line on to save as mp4
#anim.save("give it a name.mp4", fps = 30, extra-args = ['vcodec',     'libx264'])
plt.show()