- '''
- write automeasure text file
- '''
- print 'Saving automatic measurement...'
- f=open(pclust_filename,'a+')
-
- f.write(item.path+'\n')
- for i in range(len(c_lengths)):
- f.write(' ; '+str(c_lengths[i])+' ; '+str(p_lengths[i])+' ; '+str(forces[i])+' ; '+str(slopes[i])+' ; '+str(sigma_c_lengths[i])+' ; '+str(sigma_p_lengths[i])+'\n')
- f.close()
-
- '''
- calculate clustering coordinates
- '''
- peak_number=len(c_lengths)
-
- if peak_number > 1:
-
- deltas=[]
- for i in range(len(c_lengths)-1):
- deltas.append(c_lengths[i+1]-c_lengths[i])
-
- delta_mean=np.mean(deltas)
- delta_median=np.median(deltas)
-
- force_mean=np.mean(forces)
- force_median=np.median(forces)
-
- first_peak_cl=c_lengths[0]
- last_peak_cl=c_lengths[-1]
-
- max_force=max(forces[:-1])
- min_force=min(forces)
-
- max_delta=max(deltas)
- min_delta=min(deltas)
-
- print 'Coordinates'
- print 'Peaks',peak_number
- print 'Mean delta',delta_mean
- print 'Median delta',delta_median
- print 'Mean force',force_mean
- print 'Median force',force_median
- print 'First peak',first_peak_cl
- print 'Last peak',last_peak_cl
- print 'Max force',max_force
- print 'Min force',min_force
- print 'Max delta',max_delta
- print 'Min delta',min_delta
-
- '''
- write clustering coordinates
- '''
-
- f=open(realclust_filename,'a+')
- f.write(item.path+'\n')
- f.write(' ; '+str(peak_number)+' ; '+str(delta_mean)+' ; '+str(delta_median)+' ; '+str(force_mean)+' ; '+str(force_median)+' ; '+str(first_peak_cl)+' ; '+str(last_peak_cl)+ ' ; '+str(max_force)+' ; '
- +str(min_force)+' ; '+str(max_delta)+' ; '+str(min_delta)+ '\n')
- f.close()
- else:
- pass
-
-
+ '''
+ write automeasure text file
+ '''
+ print 'Saving automatic measurement...'
+ f=open(pclust_filename,'a+')
+
+ f.write(item.path+'\n')
+ for i in range(len(c_lengths)):
+ f.write(' ; '+str(c_lengths[i])+' ; '+str(p_lengths[i])+' ; '+str(forces[i])+' ; '+str(slopes[i])+' ; '+str(sigma_c_lengths[i])+' ; '+str(sigma_p_lengths[i])+'\n')
+ f.close()
+
+ '''
+ calculate clustering coordinates
+ '''
+ peak_number=len(c_lengths)
+
+ if peak_number > 1:
+
+ deltas=[]
+ for i in range(len(c_lengths)-1):
+ deltas.append(c_lengths[i+1]-c_lengths[i])
+
+ delta_mean=np.mean(deltas)
+ delta_median=np.median(deltas)
+
+ force_mean=np.mean(forces)
+ force_median=np.median(forces)
+
+ first_peak_cl=c_lengths[0]
+ last_peak_cl=c_lengths[-1]
+
+ max_force=max(forces[:-1])
+ min_force=min(forces)
+
+ max_delta=max(deltas)
+ min_delta=min(deltas)
+
+ print 'Coordinates'
+ print 'Peaks',peak_number
+ print 'Mean delta',delta_mean
+ print 'Median delta',delta_median
+ print 'Mean force',force_mean
+ print 'Median force',force_median
+ print 'First peak',first_peak_cl
+ print 'Last peak',last_peak_cl
+ print 'Max force',max_force
+ print 'Min force',min_force
+ print 'Max delta',max_delta
+ print 'Min delta',min_delta
+
+ '''
+ write clustering coordinates
+ '''
+
+ f=open(realclust_filename,'a+')
+ f.write(item.path+'\n')
+ f.write(' ; '+str(peak_number)+' ; '+str(delta_mean)+' ; '+str(delta_median)+' ; '+str(force_mean)+' ; '+str(force_median)+' ; '+str(first_peak_cl)+' ; '+str(last_peak_cl)+ ' ; '+str(max_force)+' ; '
+ +str(min_force)+' ; '+str(max_delta)+' ; '+str(min_delta)+ '\n')
+ f.close()
+ else:
+ pass
+
+