我正在做一些多处理，并且我想了解为什么有时以下代码段（但从来没有在循环的第一次迭代中）生成 以下错误：
Exception ignored in: <bound method Image.__del__ of <tkinter.PhotoImage object at 0x7f6c40d25ba8>>
Traceback (most recent call last):
File "/usr/lib/python3.5/tkinter/__init__.py", line 3359, in __del__
self.tk.call('image', 'delete', self.name)
RuntimeError: main thread is not in main loop
Tcl_AsyncDelete: async handler deleted by the wrong thread
Traceback (most recent call last):
File "Analize0.py", line 94, in <module>
Lambda = np.array(Rescal.multiprocess_loop_grouped(grouped_spatial_lambda, range(Nalti), Group_size, N_thread, *args))
File "/home/gadal/PythonLib_perso/Rescal/Lib_Rescal.py", line 135, in multiprocess_loop_grouped
return [dic[i] for i in sorted(dic.keys())]
File "/home/gadal/PythonLib_perso/Rescal/Lib_Rescal.py", line 135, in <listcomp>
return [dic[i] for i in sorted(dic.keys())]
File "<string>", line 2, in __getitem__
File "/usr/lib/python3.5/multiprocessing/managers.py", line 717, in _callmethod
kind, result = conn.recv()
File "/usr/lib/python3.5/multiprocessing/connection.py", line 250, in recv
buf = self._recv_bytes()
File "/usr/lib/python3.5/multiprocessing/connection.py", line 407, in _recv_bytes
buf = self._recv(4)
File "/usr/lib/python3.5/multiprocessing/connection.py", line 383, in _recv
raise EOFError
EOFError
这是代码：
list_per = sorted(glob.glob('Plage*'))
Nper = len(list_per)
for simul_per in list_per :
print(simul_per)
path_small = os.getcwd()
os.chdir(simul_per)
list_alti = sorted(glob.glob('ALTI00*'))
Nalti = len(list_alti)
Group_size = Nalti // N_thread
print('Reading files ...')
Map = np.array(Rescal.multiprocess_loop_grouped(Rescal.read_file, list_alti, Group_size, N_thread))
print('Processing data ...')
##################################################################################### Data analysis
Y_simul = (100, 500)
Deviation = np.empty((Nalti,Y_simul[1] - Y_simul[0], Map.shape[-1]))
for i in range(Nalti): ############### removing average beach topography
Deviation[i,:,:] = Map[i,Y_simul[0]:Y_simul[1],:] - np.mean(Map[i,Y_simul[0]:Y_simul[1],:], axis = 0, keepdims = True)
############ Beach wavelength
print(' Beach wavelength ...')
X_beach = (300,650)
args = [X_beach, Deviation]
Temp = Rescal.multiprocess_loop_grouped(find_lambda_plage, range(Nalti), Group_size, N_thread, *args)
Lambda_plage = np.array([i[0] for i in Temp])
Orientation = np.array([i[1] for i in Temp])
############ Wavelength as a function of space
print(' Wavelength as a function of space ...')
args = [Deviation]
Lambda = np.array(Rescal.multiprocess_loop_grouped(grouped_spatial_lambda, range(Nalti), Group_size, N_thread, *args))
print('Saving data ...')
Data = {}
Data['Lambda_finger'] = Lambda_finger
Data['Lambda_plage'] = Lambda_plage
Data['Orientation'] = Orientation
Data['Map'] = Map
Data['Lambda'] = Lambda
np.save('Data', Data)
print('Saving figures ...')
plt.figure()
plt.plot(Lambda_finger)
plt.ylim([0, 300])
plt.savefig('Lambda_finger.pdf')
plt.clf()
plt.plot(Lambda_plage)
plt.plot(Lambda_finger[:,10])
plt.ylim([0, 300])
plt.legend(('Lambda plage', 'Lambda finger'))
plt.savefig('Lambda.pdf')
plt.clf()
plt.imshow(Lambda)
cbar = plt.colorbar()
plt.xlabel('x')
plt.ylabel('Time')
cbar.set_label('Lambda')
plt.clim([0, 80])
plt.savefig('Spatial_time_lambda.pdf')
plt.close('all')
os.chdir(path_small)
我正在使用我编写的函数对我拥有的文件执行一些独立的任务，该函数在此处进行介绍：Function that multiprocesses another function。
但是，由多进程调用的函数永远不会调用matplotlib，在最后一次多进程调用完成后，主线程会调用matplotlib。
例如，上一个错误grouped_spatial_lambda中的函数由以下组成：
def spatial_evolution_lambda(Map):
Lambda = []
for x in range(Map.shape[1]):
Lambda.append(Anls.find_first_max(autocorr(Map[:,x])))
return Lambda
def grouped_spatial_lambda(indexes,dic,Deviation):
for i in indexes:
dic[i] = spatial_evolution_lambda(Deviation[i,:,:])
def find_first_max(a, valmax = False):
inds = find_peaks(a)[0]
if len(inds) > 0:
l = inds[inds > 5]
if len(l) > 0:
testerr = 0
a_norm = a/np.max(a)
x_fit = np.array([i for i in range(int(l[0]/2), int(3*l[0]/2))])
x_fit = x_fit[x_fit < len(a)]
y_fit = a_norm[x_fit]
x_fit = x_fit[y_fit > 0]
y_fit = a_norm[x_fit]
if x_fit.size == 0 or len(x_fit) < 3 :
lamb = np.nan
amp = np.nan
else:
try:
# popt, pcov = curve_fit(gaus,x_fit.ravel(),y_fit.ravel(), p0=[np.max(y_fit),np.mean(x_fit),np.mean(x_fit)])
popt, pcov = curve_fit(gaus,x_fit,y_fit, p0=[np.max(y_fit),np.mean(x_fit),np.mean(x_fit)])
except RuntimeError:
lamb = np.nan
amp = np.nan
testerr = 1
if testerr == 0:
lamb = popt[1]
amp = popt[0]
else:
lamb = np.nan
amp = np.nan
else:
lamb = np.nan
amp = np.nan
if valmax == False:
return lamb
else:
return lamb, amp, 1.96/np.sqrt(a.size)
根据我从发布的错误中了解到的信息，tkinter会生成导致EOF错误的异常？在对其他函数进行多重处理之后，对matplotlib的调用又如何呢？它与循环有关吗？ （先前调用matplotlib ..？） 如何强制matplotlib在主线程中运行？