Spyder在Win 7上運行的Anaconda（py 2.7）中變得無響應64位

Question

我對python非常陌生，並且正在使用它來分析仿真數據。我在Anaconda（python 2.7）中編寫的代碼工作了幾次，現在似乎變得無法響應。

我試過重新啓動控制檯，甚至是卸載並重新安裝。但它不起作用。 有人可以指出問題嗎？

Answer 1

import os 
import numpy as np 
import matplotlib.pyplot as plt 
import matplotlib.backends.backend_pdf as bpdf 
import pandas as pd 
pdf = bpdf.PdfPages("Dictra_graphs.pdf") 
% matplotlib inline 
os.getcwd() 
path= 'C:\\Users\\prajo25.AD\\Desktop\\D7X sim' 
os.chdir(path) 
a=os.listdir(os.curdir) 
it=7 #number of iterations completed 
Time=[1, 5, 10, 30, 50, 80, 100, 150, 300, 500, 800, 1000] 

newlist_wp=[] 
newlist_bph=[] 
file_Al=[] 
file_bph=[] 
i=0 

while i<5: 
    newpath=path+'\\'+a[i] 
    os.chdir(newpath) 
    for filename in os.listdir(os.curdir): 
     base_file, ext = os.path.splitext(filename) 
     if ext == '.exp': 
      os.rename(filename, base_file + '.txt') 
    List_wt=['wt1.txt','wt2.txt','wt3.txt','wt4.txt','wt5.txt','wt6.txt','wt7.txt'] 
    List_bph=['npm1.txt','npm2.txt','npm3.txt','npm4.txt','npm5.txt','npm6.txt','npm7.txt'] 
    I=range(it+1) 
    length=len(I)-1 
    j=0 
    while j < length: 
     file_Al.append(np.array(pd.read_table(List_wt[j],sep='\s',names=["Distance in microns","NAN","wt-% Al"], index_col=False, skiprows=17, skip_footer = 671,engine='python'))*1000000) 
     file_bph.append(np.array(pd.read_table(List_bph[j],sep='\s',names=["Distance in microns","NAN","wt-% Al"], index_col=False, skiprows=152, skip_footer = 68,engine='python'))*1000000) 
     j=j+1 
    newlist_wp.append(file_Al) 
    newlist_bph.append(file_bph) 
    file_Al=[] 
    file_bph=[] 
    i=i+1 

i=0 
k=0 
r=7 
while i<7: 
    list_f=[newlist_wp[0][i], newlist_wp[1][i],newlist_wp[2][i],newlist_wp[3][i],newlist_wp[4][i]] 
    list_bph=[newlist_bph[0][i], newlist_bph[1][i], newlist_bph[2][i], newlist_bph[3][i], newlist_bph[4][i]] 
    a0=np.array(list_f[0]) 
    a1=np.array(list_f[1]) 
    a2=np.array(list_f[2]) 
    a3=np.array(list_f[3]) 
    a4=np.array(list_f[4]) 
    b0=np.array(list_bph[0]) 
    b1=np.array(list_bph[1]) 
    b2=np.array(list_bph[2]) 
    b3=np.array(list_bph[3]) 
    b4=np.array(list_bph[4]) 


    plt.figure(k+1) 
    plt.grid() 
    plt.plot(a0[:,0],a0[:,2]/1000000,'r--', label='D71') 
    plt.title(str(Time[i])+'hours') 
    plt.plot(a1[:,0],a1[:,2]/1000000,'b--', label='D72') 
    plt.title(str(Time[i])+'hours') 
    plt.plot(a2[:,0],a2[:,2]/1000000,'m--', label = 'D73') 
    plt.title(str(Time[i])+'hours') 
    plt.plot(a3[:,0],a3[:,2]/1000000,'g--', label = 'D74') 
    plt.title(str(Time[i])+'hours') 
    plt.plot(a4[:,0],a4[:,2]/1000000,'k--', label = 'D75') 
    plt.title(str(Time[i])+'hours') 
    plt.legend(loc=2, ncol=1) 

    plt.ylabel('Wt.% of Al') 
    plt.xlabel('Distance in microns') 

    plt.figure(r+1) 
    plt.plot(b0[:,0],b0[:,2]/1000000,'r--',label='D71') 
    plt.title(str(Time[i])+'hours') 
    plt.plot(b1[:,0],b1[:,2]/1000000,'b--', label='D72') 
    plt.title(str(Time[i])+'hours') 
    plt.plot(b2[:,0],b2[:,2]/1000000,'m--', label='D73') 
    plt.title(str(Time[i])+'hours') 
    plt.plot(b3[:,0],b3[:,2]/1000000,'g--',label='D74') 
    plt.title(str(Time[i])+'hours') 
    plt.plot(b4[:,0],b4[:,2]/1000000,'k--', label='D75') 
    plt.title(str(Time[i])+'hours') 

    plt.legend(loc=2, ncol=1) 
    plt.ylim(ymax=1.2, ymin=0) 
    plt.ylabel('Amount of gamma phase') 
    plt.xlabel('Distance in microns') 


    k=k+1 
    r=r+1 
    plt.show() 

    i=i+1 

q=0 
for q in range(1,k+r-6): ## will open an empty extra figure :(
    pdf.savefig(plt.figure(int(q))) 

pdf.close()