Emacs：杀死运行的python脚本 [英] Emacs: Kill running python script
问题描述
我不知道这是否是matplotlib / python的错误，但从emacs运行以下命令可以消除我通过点击图形窗口中的[x]来杀死matplotlib进程的功能，它没有任何效果。有没有命令（我googled，没有运气）终止emacs已经启动的具体过程？我可以通过查找缓冲区并执行 Cx k 来杀死进程，但这有点麻烦，任何方法可以杀死所有运行的python进程？
I don't know if this is a bug with matplotlib/python but running the following from emacs removes my ability to kill the matplotlib process by clicking [x] on the figure window, it has no effect. Is there a command (I googled, no luck) for terminating a specific process that emacs has launched? I can kill the process by finding the buffer and doing C-x k but that is a bit of a hassle, any way to kill ALL running python processes?
#Simple circular box simulator, part of part_sim
#Restructure to import into gravity() or coloumb () or wind() or pressure()
#Or to use all forces: sim_full()
#Note: Implement crashing as backbone to all forces
import numpy as np
import matplotlib.pyplot as plt
from scipy.spatial.distance import pdist, squareform
N = 100 #Number of particles
R = 10000 #Box width
pR= 5 #Particle radius
r = np.random.randint(0, R, (N,2)) #Position vector
v = np.random.randint(-R/100,R/100,(N,2)) #velocity vector
a = np.array([0,-10]) #Forces
v_limit = R/2 #Speedlimit
plt.ion()
line, = plt.plot([],'o')
line2, = plt.plot([],'o') #Track a particle
plt.axis([0,R+pR,0,R+pR]
while True:
v=v+a #Advance
r=r+v
#Collision tests
r_hit_x0 = np.where(r[:,0]<0) #Hit floor?
r_hit_x1 = np.where(r[:,0]>R) #Hit roof?
r_hit_LR = np.where(r[:,1]<0) #Left wall?
r_hit_RR = np.where(r[:,1]>R) #Right wall?
#Stop at walls
r[r_hit_x0,0] = 0
r[r_hit_x1,0] = R
r[r_hit_LR,1] = 0
r[r_hit_RR,1] = R
#Reverse velocities
v[r_hit_x0,0] = -0.9*v[r_hit_x0,0]
v[r_hit_x1,0] = -v[r_hit_x1,0]
v[r_hit_LR,1] = -0.95*v[r_hit_LR,1]
v[r_hit_RR,1] = -0.99*v[r_hit_RR,1]
#Collisions
D = squareform(pdist(r))
ind1, ind2 = np.where(D < pR)
unique = (ind1 < ind2)
ind1 = ind1[unique]
ind2 = ind2[unique]
for i1, i2 in zip(ind1, ind2):
eps = np.random.rand()
vtot= v[i1,:]+v[i2,:]
v[i1,:] = -(1-eps)*vtot
v[i2,:] = -eps*vtot
line.set_ydata(r[:,1])
line.set_xdata(r[:,0])
line2.set_ydata(r[:N/5,1])
line2.set_xdata(r[:N/5,0])
plt.draw()
推荐答案
Cc C-\ will kil l带有SIGQUIT的程序，但这不是一个优雅的方式
来结束程序。
C-c C-\ will kill the program with a SIGQUIT, but that is not a graceful way
to end the program.
或者，如果将后端更改为 TkAgg ， Cc 也将终止程序（再次不合格），但尝试关闭窗口仍然无法工作。
Cc
Alternatively, if you change the backend to TkAgg, C-c
C-c will also terminate the program (again ungracefully), but trying to close the window will still not work.
import numpy as np
import matplotlib as mpl
mpl.use('TkAgg') # do this before importing pyplot
import matplotlib.pyplot as plt
一个完整的，强大的解决方案需要删除 plt.ion（），使用像Tk，pygtk，wxpython或pyqt这样的GUI框架，并将GUI窗口嵌入到matplotlib图卡。
A full, robust solution requires removing plt.ion(), using a GUI framework like Tk, pygtk, wxpython or pyqt, and embedding the GUI window in a matplotlib FigureCanvas.
以下是使用Tk的示例：
Here is an example using Tk:
"""
http://stackoverflow.com/q/13660042/190597
Simple circular box simulator, part of part_sim
Restructure to import into gravity() or coloumb () or wind() or pressure()
Or to use all forces: sim_full()
Note: Implement crashing as backbone to all forces
"""
import Tkinter as tk
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.figure as mplfig
import scipy.spatial.distance as dist
import matplotlib.backends.backend_tkagg as tkagg
class App(object):
def __init__(self, master):
self.master = master
self.fig = mplfig.Figure(figsize = (5, 4), dpi = 100)
self.ax = self.fig.add_subplot(111)
self.canvas = canvas = tkagg.FigureCanvasTkAgg(self.fig, master)
canvas.get_tk_widget().pack(side = tk.TOP, fill = tk.BOTH, expand = 1)
self.toolbar = toolbar = tkagg.NavigationToolbar2TkAgg(canvas, master)
self.button = button = tk.Button(master, text = 'Quit', command = master.quit)
button.pack(side = tk.BOTTOM)
toolbar.update()
self.update = self.animate().next
master.after(10, self.update)
canvas.show()
def animate(self):
N = 100 #Number of particles
R = 10000 #Box width
pR= 5 #Particle radius
r = np.random.randint(0, R, (N,2)) #Position vector
v = np.random.randint(-R/100,R/100,(N,2)) #velocity vector
a = np.array([0,-10]) #Forces
v_limit = R/2 #Speedlimit
line, = self.ax.plot([],'o')
line2, = self.ax.plot([],'o') #Track a particle
self.ax.set_xlim(0, R+pR)
self.ax.set_ylim(0, R+pR)
while True:
v=v+a #Advance
r=r+v
#Collision tests
r_hit_x0 = np.where(r[:,0]<0) #Hit floor?
r_hit_x1 = np.where(r[:,0]>R) #Hit roof?
r_hit_LR = np.where(r[:,1]<0) #Left wall?
r_hit_RR = np.where(r[:,1]>R) #Right wall?
#Stop at walls
r[r_hit_x0,0] = 0
r[r_hit_x1,0] = R
r[r_hit_LR,1] = 0
r[r_hit_RR,1] = R
#Reverse velocities
v[r_hit_x0,0] = -0.9*v[r_hit_x0,0]
v[r_hit_x1,0] = -v[r_hit_x1,0]
v[r_hit_LR,1] = -0.95*v[r_hit_LR,1]
v[r_hit_RR,1] = -0.99*v[r_hit_RR,1]
#Collisions
D = dist.squareform(dist.pdist(r))
ind1, ind2 = np.where(D < pR)
unique = (ind1 < ind2)
ind1 = ind1[unique]
ind2 = ind2[unique]
for i1, i2 in zip(ind1, ind2):
eps = np.random.rand()
vtot= v[i1,:]+v[i2,:]
v[i1,:] = -(1-eps)*vtot
v[i2,:] = -eps*vtot
line.set_ydata(r[:,1])
line.set_xdata(r[:,0])
line2.set_ydata(r[:N/5,1])
line2.set_xdata(r[:N/5,0])
self.canvas.draw()
self.master.after(1, self.update)
yield
def main():
root = tk.Tk()
app = App(root)
tk.mainloop()
if __name__ == '__main__':
main()
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