在matplotlib中重绘图最终崩溃python.exe

Question

我对matplotlib非常陌生，所以请在我解释的时候耐心等待。

我正在使用matplotlib绘制其中有一些形状的2D图形。你可以看到下面的代码和输出图：

from random import randint 
import matplotlib.path as path 
import matplotlib.pyplot as plt 
import matplotlib.patches as patches 

from matplotlib.pyplot import plot, ion, show 
import numpy 


box_a_midd_x = 200 
box_a_midd_y = -300 
box_a_width = 100 
box_a_height = 400 
box_a_x = box_a_midd_x - box_a_width/2 
box_a_y = box_a_midd_y - box_a_height/2 
box_a = path.Path([(box_a_x, box_a_y), (box_a_x, box_a_y + box_a_height), (box_a_x + box_a_height, box_a_y + box_a_height), (box_a_x + box_a_height, box_a_y)]) 

box_b_midd_x = 700 
box_b_midd_y = 100 
box_b_width = 200 
box_b_height = 400 
box_b_x = box_b_midd_x - box_b_width/2 
box_b_y = box_b_midd_y - box_b_height/2 
box_b = path.Path([(box_b_x, box_b_y), (box_b_x, box_b_y + box_b_height), (box_b_x + box_b_height, box_b_y + box_b_height), (box_b_x + box_b_height, box_b_y)]) 

box_c_midd_x = 700 
box_c_midd_y = 700 
box_c_width = 200 
box_c_height = 400 
box_c_x = box_c_midd_x - box_c_width/2 
box_c_y = box_c_midd_y - box_c_height/2 
box_c = path.Path([(box_c_x, box_c_y), (box_c_x, box_c_y + box_c_height), (box_c_x + box_c_height, box_c_y + box_c_height), (box_c_x + box_c_height, box_c_y)])  

box_d_midd_x = 700 
box_d_midd_y = 1400 
box_d_width = 200 
box_d_height = 400 
box_d_x = box_d_midd_x - box_d_width/2 
box_d_y = box_d_midd_y - box_d_height/2 
box_d = path.Path([(box_d_x, box_d_y), (box_d_x, box_d_y + box_d_height), (box_d_x + box_d_height, box_d_y + box_d_height), (box_d_x + box_d_height, box_d_y)])  

monitor_box = path.Path([(35, 1677), (11, -213), (652, -220), (500, 1734)]) 

print "A: " + str(box_a) 
print "B: " + str(box_b) 
print "C: " + str(box_c) 
print "D: " + str(box_d) 

#plt.plot([], []) 
#ion() 
fig = plt.figure() 
ax = fig.add_subplot(111) 
patch = patches.PathPatch(monitor_box, facecolor='black', lw=1) 
patch_a = patches.PathPatch(box_a, facecolor='orange', lw=2) 
patch_b = patches.PathPatch(box_b, facecolor='orange', lw=2) 
patch_c = patches.PathPatch(box_c, facecolor='orange', lw=2) 
patch_d = patches.PathPatch(box_d, facecolor='orange', lw=2) 
ax.add_patch(patch) 
ax.add_patch(patch_a) 
ax.add_patch(patch_b) 
ax.add_patch(patch_c) 
ax.add_patch(patch_d) 
ax.set_xlim(-2000,2000) 
ax.set_ylim(-2000,2000) 
plt.gca().invert_yaxis() 
#plt.plot([1], [1], 'ro') 
#plt.draw() 
#plt.show(block=False) 
#plt.show() 
plt.ion() 
xs = [0] 
ys = [0] 
line, = plt.plot([xs[0], ys[0]], 'ro') 
line.set_data(xs, ys) 
plt.show() 
plt.draw() 
plt.pause(0.001) 


def update_line(hl, new_data): 
    hl.set_xdata(numpy.append(hl.get_xdata(), new_data)) 
    hl.set_ydata(numpy.append(hl.get_ydata(), new_data)) 
    plt.draw() 



while(True): 
    app_x = randint(0,2000) 
    app_y = randint(0,2000) 

    isInsideA = box_a.contains_points([(app_x,app_y)]) 
    isInsideB = box_b.contains_points([(app_x,app_y)]) 
    isInsideC = box_c.contains_points([(app_x,app_y)]) 
    isInsideD = box_d.contains_points([(app_x,app_y)]) 
    whichBox = "" 
    if isInsideA: 
     whichBox = "A" 
    elif isInsideB: 
     whichBox = "B" 
    elif isInsideC: 
     whichBox = "C" 
    elif isInsideD: 
     whichBox = "D" 
    else: 
     whichBox = "..." 

    print ("X: " + str(int(app_x)) + "\t Y: " + str(int(app_y)) + " \t" + str(whichBox)) 
    xs[0] = int(app_x) 
    ys[0] = int(app_y) 
    line.set_data(xs, ys) 
    plt.show() 
    plt.draw() 

输出图像看起来像这样（真的没什么奇怪的）。

的问题是，几秒钟后，图崩溃（Not responsing）（30-40秒，这似乎是随机的）。 当图形窗口挂起时，仍然可以看到python代码仍在运行，并且打印了新值，但图形中不再有任何反应。 我不知道在哪里可以继续。 请运行上面的完整小例子，并希望看到该问题。

我在Windows 7机器上运行Python 2.7.8。更具体地说，在Win32上的Python 2.7.8（默认，2014年6月30日，16：03：49）[MSC v.1500 32位（Intel）]。

Answer 1

高清MYFUNC（X）： 回报hasattr（X， 'SET_COLOR'）

for o in fig.findobj(myfunc): 
    o.set_color('blue') 

import matplotlib.text as text 

for o in fig.findobj(text.Text): 
    o.set_fontstyle('italic') 

Answer 2

您创建的每个迭代一个新的阴谋。 更好地利用set_data()并追加到列表x上的y坐标：

plt.ion() 
xs = [random.randint(-1000, 1000)] 
ys = [random.randint(-1000, 1000)] 
line, = plt.plot([xs[0], ys[0]], 'ro') 
for _ in range(1000): 
    xs.append(random.randint(-1000, 1000)) 
    ys.append(random.randint(-1000, 1000)) 
    line.set_data(xs, ys) 
    plt.show() 
    plt.draw() 
    plt.pause(0.001) 
plt.ioff() 
plt.show() 

这是两个将与每一个随机数：

xs = [random.randint(-1000, 1000)] 
ys = [random.randint(-1000, 1000)] 

现在，创建一个情节，使用这些列表：

line, = plt.plot([xs[0], ys[0]], 'ro') 

在循环中，模拟从LeapMotion设备获得的新x和y值并将它们附加到您的坐标：

xs.append(random.randint(-1000, 1000)) 
ys.append(random.randint(-1000, 1000)) 

更新您的剧情与新坐标：

line.set_data(xs, ys)