Changeset 2284
- Timestamp:
- May 20, 2016 12:37:52 PM (6 years ago)
- Location:
- trunk
- Files:
-
- 14 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/GSASIIctrls.py
r2272 r2284 3862 3862 'Stacking fault simulations for diamond'], 3863 3863 ['StackingFaults-II', 'StackingFaults-II', 'Stacking Faults II.htm', 3864 'Stacking fault simulations for kaolinite'], 3864 'Stacking fault simulations for Keokuk kaolinite'], 3865 ['StackingFaults-III', 'StackingFaults-III', 'Stacking Faults-III.htm', 3866 'Stacking fault simulations for Georgia kaolinite'], 3865 3867 3866 3868 ['CFXraySingleCrystal','CFXraySingleCrystal','CFSingleCrystal.htm', -
trunk/GSASIIimage.py
r2183 r2284 582 582 ellipse = GetEllipse(H[3],data) 583 583 data['ellipses'].append(copy.deepcopy(ellipse+('b',))) 584 print 'calibration time = ',time.time()-time0584 print 'calibration time = %.3f'%(time.time()-time0) 585 585 G2plt.PlotImage(G2frame,newImage=True) 586 586 return True … … 794 794 ellipse = GetEllipse(H[3],data) 795 795 data['ellipses'].append(copy.deepcopy(ellipse+('b',))) 796 print 'calibration time = ',time.time()-time0796 print 'calibration time = %.3f'%(time.time()-time0) 797 797 G2plt.PlotImage(G2frame,newImage=True) 798 798 return True -
trunk/GSASIIimgGUI.py
r2227 r2284 166 166 167 167 def OnCalibrate(event): 168 if not data.get('calibrant'):169 G2G.G2MessageBox(G2frame,'A calibrant must first be selected')170 168 G2frame.dataFrame.GetStatusBar().SetStatusText('Select > 4 points on 1st used ring; LB to pick, RB on point to delete else RB to finish') 171 169 G2frame.ifGetRing = True … … 825 823 pass 826 824 flatbkg.SetValue("%.0f"%(data['Flat Bkg'])) 827 G2frame.ImageZ += (oldFlat-data['Flat Bkg'])825 G2frame.ImageZ += int(oldFlat-data['Flat Bkg']) 828 826 ResetThresholds() 829 827 G2plt.PlotExposedImage(G2frame,event=event) … … 890 888 891 889 def OnNewCalibrant(event): 892 data['calibrant'] = calSel.GetValue() 893 data['calibskip'] = calFile.Calibrants[data['calibrant']][3] 894 limits = calFile.Calibrants[data['calibrant']][4] 895 data['calibdmin'],data['pixLimit'],data['cutoff'] = limits 896 pixLimit.SetValue(str(limits[1])) 897 cutOff.SetValue('%.1f'%(limits[2])) 898 calibSkip.SetValue(str(data['calibskip'])) 899 calibDmin.SetValue('%.1f'%(limits[0])) 890 data['calibrant'] = calSel.GetValue().strip() 891 if data['calibrant']: 892 G2frame.dataFrame.ImageEdit.Enable(id=G2gd.wxID_IMRECALIBRATE,enable=True) 893 G2frame.dataFrame.ImageEdit.Enable(id=G2gd.wxID_IMCALIBRATE,enable=True) 894 data['calibskip'] = calFile.Calibrants[data['calibrant']][3] 895 limits = calFile.Calibrants[data['calibrant']][4] 896 data['calibdmin'],data['pixLimit'],data['cutoff'] = limits 897 pixLimit.SetValue(str(limits[1])) 898 cutOff.SetValue('%.1f'%(limits[2])) 899 calibSkip.SetValue(str(data['calibskip'])) 900 calibDmin.SetValue('%.1f'%(limits[0])) 901 else: 902 G2frame.dataFrame.ImageEdit.Enable(id=G2gd.wxID_IMRECALIBRATE,enable=False) 903 G2frame.dataFrame.ImageEdit.Enable(id=G2gd.wxID_IMCALIBRATE,enable=False) 900 904 901 905 def OnCalibSkip(event): … … 1084 1088 if data.get('calibrant'): 1085 1089 G2frame.dataFrame.ImageEdit.Enable(id=G2gd.wxID_IMRECALIBRATE,enable=True) 1090 G2frame.dataFrame.ImageEdit.Enable(id=G2gd.wxID_IMCALIBRATE,enable=True) 1086 1091 else: 1087 1092 G2frame.dataFrame.ImageEdit.Enable(id=G2gd.wxID_IMRECALIBRATE,enable=False) 1093 G2frame.dataFrame.ImageEdit.Enable(id=G2gd.wxID_IMCALIBRATE,enable=False) 1088 1094 G2frame.dataFrame.Bind(wx.EVT_MENU, OnIntegrate, id=G2gd.wxID_IMINTEGRATE) 1089 1095 G2frame.dataFrame.Bind(wx.EVT_MENU, OnIntegrateAll, id=G2gd.wxID_INTEGRATEALL) -
trunk/GSASIIplot.py
r2278 r2284 3946 3946 xpos = event.xdata 3947 3947 ypos = event.ydata 3948 xpix = xpos*scalex3949 ypix = ypos*scaley3948 xpix = int(xpos*scalex) 3949 ypix = int(ypos*scaley) 3950 3950 Int = 0 3951 3951 if (0 <= xpix <= sizexy[0]) and (0 <= ypix <= sizexy[1]): -
trunk/imports/G2img_HDF5.py
r2133 r2284 65 65 if not self.buffer.get('init'): 66 66 self.buffer['init'] = True 67 self. visit(fp)68 self. Comments,self.Data,self.Npix,self.Image = self.readDataset(fp,imagenum)67 self.Comments = self.visit(fp) 68 self.Data,self.Npix,self.Image = self.readDataset(fp,imagenum) 69 69 if self.Npix == 0 or not self.Comments: 70 70 return False … … 86 86 ''' 87 87 datakeyword = 'data' 88 head = [] 88 89 def func(name, dset): 89 90 if not hasattr(dset,'shape'): return # not array, can't be image 90 91 if isinstance(dset, h5py.Dataset): 92 if len(dset.shape) < 2: 93 head.append('%s: %s'%(dset.name,str(dset[()][0]))) 91 94 if dset.name.endswith(datakeyword): 92 95 dims = dset.shape … … 99 102 self.buffer['imagemap'] = [] 100 103 fp.visititems(func) 104 return head 101 105 102 106 def readDataset(self,fp,imagenum=1): … … 109 113 else: 110 114 image = dset[0,num,...] 111 head = ['raw data']112 115 sizexy = list(image.shape) 113 Npix = sizexy[0]*sizexy[1] 114 data = {'pixelSize':[200,200],'wavelength':0.15,'distance':250.0, 115 'center':[204.8,204.8],'size':sizexy} 116 return head,data,Npix,image 116 Npix = sizexy[0]*sizexy[1] 117 data = {'pixelSize':[200.,200.],'wavelength':0.15,'distance':1000., 118 'center':[sizexy[0]*0.1,sizexy[1]*0.1],'size':sizexy} 119 for item in self.Comments: 120 name,val = item.split(':',1) 121 if 'wavelength' in name and 'spread' not in name: 122 try: 123 data['wavelength'] = float(val) 124 except ValueError: 125 pass 126 elif 'distance' in name: 127 data['distance'] = float(val) 128 elif 'x_pixel_size' in name: 129 data['pixelSize'][0] = float(val)*1000. 130 elif 'y_pixel_size' in name: 131 data['pixelSize'][1] = float(val)*1000. 132 elif 'beam_center_x' in name: 133 data['center'][0] = float(val) 134 elif 'beam_center_y' in name: 135 data['center'][1] = float(val) 136 return data,Npix,image.T
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