1 | # -*- coding: utf-8 -*- |
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2 | ########### SVN repository information ################### |
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3 | # $Date: 2014-04-25 17:47:06 +0000 (Fri, 25 Apr 2014) $ |
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4 | # $Author: vondreele $ |
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5 | # $Revision: 1300 $ |
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6 | # $URL: trunk/imports/G2sad_xye.py $ |
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7 | # $Id: G2sad_xye.py 1300 2014-04-25 17:47:06Z vondreele $ |
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8 | ########### SVN repository information ################### |
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9 | ''' |
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10 | *Module G2sad_xye: read small angle data* |
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11 | ------------------------------------------------ |
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12 | |
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13 | Routines to read in small angle data from an .xye type file, with |
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14 | two-theta or Q steps. |
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15 | |
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16 | ''' |
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17 | |
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18 | import sys |
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19 | import os.path as ospath |
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20 | import numpy as np |
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21 | import GSASIIIO as G2IO |
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22 | import GSASIIpath |
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23 | GSASIIpath.SetVersionNumber("$Revision: 1300 $") |
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24 | npasind = lambda x: 180.*np.arcsin(x)/np.pi |
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25 | |
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26 | class txt_XRayReaderClass(G2IO.ImportSmallAngleData): |
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27 | 'Routines to import X-ray q SAXD data from a .xsad or .xdat file' |
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28 | def __init__(self): |
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29 | super(self.__class__,self).__init__( # fancy way to self-reference |
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30 | extensionlist=('.xsad','.xdat'), |
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31 | strictExtension=False, |
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32 | formatName = 'q (A-1) step X-ray QIE data', |
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33 | longFormatName = 'q (A-1) stepped X-ray text data file in Q,I,E order; E optional' |
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34 | ) |
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35 | |
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36 | # Validate the contents -- make sure we only have valid lines |
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37 | def ContentsValidator(self, filepointer): |
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38 | 'Look through the file for expected types of lines in a valid q-step file' |
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39 | Ndata = 0 |
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40 | for i,S in enumerate(filepointer): |
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41 | vals = S.split() |
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42 | if len(vals) >= 2: |
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43 | try: |
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44 | data = [float(val) for val in vals] |
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45 | Ndata += 1 |
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46 | except ValueError: |
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47 | pass |
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48 | if not Ndata: |
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49 | self.errors = 'No 2 or more column numeric data found' |
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50 | return False |
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51 | return True # no errors encountered |
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52 | |
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53 | def Reader(self,filename,filepointer, ParentFrame=None, **unused): |
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54 | print 'Read a q-step text file' |
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55 | x = [] |
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56 | y = [] |
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57 | w = [] |
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58 | try: |
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59 | wave = 1.5428 #Cuka default |
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60 | Temperature = 300 |
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61 | Ndata = 0 |
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62 | for i,S in enumerate(filepointer): |
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63 | if len(S) == 1: #skip blank line |
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64 | continue |
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65 | if '=' in S: |
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66 | self.comments.append(S[:-1]) |
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67 | if 'wave' in S.split('=')[0].lower(): |
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68 | try: |
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69 | wave = float(S.split('=')[1]) |
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70 | except: |
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71 | pass |
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72 | continue |
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73 | vals = S.split() |
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74 | if len(vals) >= 2: |
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75 | try: |
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76 | data = [float(val) for val in vals] |
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77 | x.append(float(data[0])) |
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78 | f = float(data[1]) |
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79 | if f <= 0.0: |
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80 | del x[-1] |
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81 | continue |
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82 | elif len(vals) > 2: |
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83 | y.append(float(data[1])) |
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84 | w.append(1.0/float(data[2])**2) |
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85 | else: |
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86 | y.append(float(data[1])) |
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87 | w.append(1.0/float(data[1])) |
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88 | except ValueError: |
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89 | msg = 'Error in line '+str(i+1) |
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90 | print msg |
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91 | continue |
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92 | N = len(x) |
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93 | for S in self.comments: |
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94 | if 'Temp' in S.split('=')[0]: |
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95 | try: |
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96 | Temperature = float(S.split('=')[1]) |
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97 | except: |
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98 | pass |
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99 | self.instdict['wave'] = wave |
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100 | self.instdict['type'] = 'LXC' |
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101 | x = np.array(x) |
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102 | self.smallangledata = [ |
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103 | x, # x-axis values q |
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104 | np.array(y), # small angle pattern intensities |
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105 | np.array(w), # 1/sig(intensity)^2 values (weights) |
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106 | np.zeros(N), # calc. intensities (zero) |
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107 | np.zeros(N), # obs-calc profiles |
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108 | np.zeros(N), # fix bkg |
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109 | ] |
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110 | self.smallangleentry[0] = filename |
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111 | self.smallangleentry[2] = 1 # xye file only has one bank |
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112 | self.idstring = ospath.basename(filename) |
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113 | # scan comments for temperature |
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114 | self.Sample['Temperature'] = Temperature |
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115 | |
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116 | return True |
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117 | except Exception as detail: |
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118 | self.errors += '\n '+str(detail) |
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119 | print self.formatName+' read error:'+str(detail) # for testing |
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120 | import traceback |
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121 | traceback.print_exc(file=sys.stdout) |
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122 | return False |
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123 | |
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124 | class txt_nmXRayReaderClass(G2IO.ImportSmallAngleData): |
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125 | 'Routines to import X-ray q SAXD data from a .xsad or .xdat file, q in nm-1' |
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126 | def __init__(self): |
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127 | super(self.__class__,self).__init__( # fancy way to self-reference |
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128 | extensionlist=('.xsad','.xdat'), |
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129 | strictExtension=False, |
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130 | formatName = 'q (nm-1) step X-ray QIE data', |
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131 | longFormatName = 'q (nm-1) stepped X-ray text data file in Q,I,E order; E optional' |
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132 | ) |
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133 | |
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134 | # Validate the contents -- make sure we only have valid lines |
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135 | def ContentsValidator(self, filepointer): |
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136 | 'Look through the file for expected types of lines in a valid q-step file' |
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137 | Ndata = 0 |
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138 | for i,S in enumerate(filepointer): |
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139 | vals = S.split() |
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140 | if len(vals) >= 2: |
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141 | try: |
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142 | data = [float(val) for val in vals] |
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143 | Ndata += 1 |
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144 | except ValueError: |
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145 | pass |
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146 | if not Ndata: |
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147 | self.errors = 'No 2 or more column numeric data found' |
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148 | return False |
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149 | return True # no errors encountered |
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150 | |
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151 | def Reader(self,filename,filepointer, ParentFrame=None, **unused): |
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152 | print 'Read a q-step text file' |
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153 | x = [] |
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154 | y = [] |
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155 | w = [] |
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156 | try: |
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157 | wave = 1.5428 #Cuka default |
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158 | Temperature = 300 |
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159 | Ndata = 0 |
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160 | for i,S in enumerate(filepointer): |
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161 | if len(S) == 1: #skip blank line |
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162 | continue |
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163 | if '=' in S: |
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164 | self.comments.append(S[:-1]) |
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165 | if 'wave' in S.split('=')[0].lower(): |
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166 | try: |
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167 | wave = float(S.split('=')[1]) |
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168 | except: |
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169 | pass |
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170 | continue |
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171 | vals = S.split() |
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172 | if len(vals) >= 2: |
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173 | try: |
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174 | data = [float(val) for val in vals] |
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175 | x.append(float(data[0])/10.) #convert nm-1 to A-1 |
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176 | f = float(data[1]) |
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177 | if f <= 0.0: |
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178 | x.pop() |
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179 | continue |
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180 | elif len(vals) > 2: |
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181 | y.append(float(data[1])) |
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182 | w.append(1.0/float(data[2])**2) |
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183 | else: |
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184 | y.append(float(data[1])) |
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185 | w.append(1.0/float(data[1])) |
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186 | except ValueError: |
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187 | msg = 'Error in line '+str(i+1) |
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188 | print msg |
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189 | continue |
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190 | N = len(x) |
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191 | for S in self.comments: |
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192 | if 'Temp' in S.split('=')[0]: |
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193 | try: |
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194 | Temperature = float(S.split('=')[1]) |
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195 | except: |
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196 | pass |
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197 | self.instdict['wave'] = wave |
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198 | self.instdict['type'] = 'LXC' |
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199 | x = np.array(x) |
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200 | self.smallangledata = [ |
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201 | x, # x-axis values q |
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202 | np.array(y), # small angle pattern intensities |
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203 | np.array(w), # 1/sig(intensity)^2 values (weights) |
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204 | np.zeros(N), # calc. intensities (zero) |
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205 | np.zeros(N), # obs-calc profiles |
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206 | np.zeros(N), # fix bkg |
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207 | ] |
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208 | self.smallangleentry[0] = filename |
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209 | self.smallangleentry[2] = 1 # xye file only has one bank |
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210 | self.idstring = ospath.basename(filename) |
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211 | # scan comments for temperature |
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212 | self.Sample['Temperature'] = Temperature |
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213 | |
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214 | return True |
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215 | except Exception as detail: |
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216 | self.errors += '\n '+str(detail) |
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217 | print self.formatName+' read error:'+str(detail) # for testing |
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218 | import traceback |
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219 | traceback.print_exc(file=sys.stdout) |
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220 | return False |
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221 | |
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222 | class txt_CWNeutronReaderClass(G2IO.ImportSmallAngleData): |
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223 | 'Routines to import neutron CW q SAXD data from a .nsad or .ndat file' |
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224 | def __init__(self): |
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225 | super(self.__class__,self).__init__( # fancy way to self-reference |
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226 | extensionlist=('.nsad','.ndat'), |
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227 | strictExtension=False, |
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228 | formatName = 'q (A-1) step neutron CW QIE data', |
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229 | longFormatName = 'q (A-1) stepped neutron CW text data file in Q,I,E order; E optional' |
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230 | ) |
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231 | |
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232 | # Validate the contents -- make sure we only have valid lines |
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233 | def ContentsValidator(self, filepointer): |
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234 | 'Look through the file for expected types of lines in a valid q-step file' |
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235 | Ndata = 0 |
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236 | for i,S in enumerate(filepointer): |
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237 | vals = S.split() |
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238 | if len(vals) >= 2: |
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239 | try: |
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240 | data = [float(val) for val in vals] |
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241 | Ndata += 1 |
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242 | except ValueError: |
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243 | pass |
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244 | if not Ndata: |
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245 | self.errors = 'No 2 or more column numeric data found' |
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246 | return False |
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247 | return True # no errors encountered |
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248 | |
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249 | def Reader(self,filename,filepointer, ParentFrame=None, **unused): |
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250 | print 'Read a q-step text file' |
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251 | x = [] |
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252 | y = [] |
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253 | w = [] |
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254 | try: |
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255 | wave = 1.5428 #Cuka default |
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256 | Temperature = 300 |
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257 | Ndata = 0 |
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258 | for i,S in enumerate(filepointer): |
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259 | if len(S) == 1: #skip blank line |
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260 | continue |
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261 | if '=' in S: |
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262 | self.comments.append(S[:-1]) |
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263 | if 'wave' in S.split('=')[0].lower(): |
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264 | try: |
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265 | wave = float(S.split('=')[1]) |
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266 | except: |
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267 | pass |
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268 | continue |
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269 | vals = S.split() |
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270 | if len(vals) >= 2: |
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271 | try: |
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272 | data = [float(val) for val in vals] |
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273 | x.append(float(data[0])) |
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274 | f = float(data[1]) |
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275 | if f <= 0.0: |
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276 | y.append(0.0) |
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277 | w.append(1.0) |
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278 | elif len(vals) > 2: |
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279 | y.append(float(data[1])) |
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280 | w.append(1.0/float(data[2])**2) |
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281 | else: |
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282 | y.append(float(data[1])) |
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283 | w.append(1.0/float(data[1])) |
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284 | except ValueError: |
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285 | msg = 'Error in line '+str(i+1) |
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286 | print msg |
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287 | continue |
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288 | N = len(x) |
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289 | for S in self.comments: |
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290 | if 'Temp' in S.split('=')[0]: |
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291 | try: |
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292 | Temperature = float(S.split('=')[1]) |
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293 | except: |
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294 | pass |
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295 | self.instdict['wave'] = wave |
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296 | self.instdict['type'] = 'LNC' |
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297 | x = np.array(x) |
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298 | if np.any(x > 2.): #q must be nm-1 |
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299 | x /= 10. |
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300 | self.smallangledata = [ |
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301 | x, # x-axis values q |
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302 | np.array(y), # small angle pattern intensities |
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303 | np.array(w), # 1/sig(intensity)^2 values (weights) |
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304 | np.zeros(N), # calc. intensities (zero) |
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305 | np.zeros(N), # obs-calc profiles |
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306 | np.zeros(N), # fix bkg |
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307 | ] |
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308 | self.smallangleentry[0] = filename |
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309 | self.smallangleentry[2] = 1 # xye file only has one bank |
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310 | self.idstring = ospath.basename(filename) |
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311 | # scan comments for temperature |
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312 | self.Sample['Temperature'] = Temperature |
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313 | |
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314 | return True |
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315 | except Exception as detail: |
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316 | self.errors += '\n '+str(detail) |
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317 | print self.formatName+' read error:'+str(detail) # for testing |
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318 | import traceback |
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319 | traceback.print_exc(file=sys.stdout) |
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320 | return False |
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321 | |
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322 | class txt_nmCWNeutronReaderClass(G2IO.ImportSmallAngleData): |
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323 | 'Routines to import neutron CW q in nm-1 SAXD data from a .nsad or .ndat file' |
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324 | def __init__(self): |
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325 | super(self.__class__,self).__init__( # fancy way to self-reference |
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326 | extensionlist=('.nsad','.ndat'), |
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327 | strictExtension=False, |
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328 | formatName = 'q (nm-1) step neutron CW QIE data', |
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329 | longFormatName = 'q (nm-1) stepped neutron CW text data file in Q,I,E order; E optional' |
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330 | ) |
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331 | |
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332 | # Validate the contents -- make sure we only have valid lines |
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333 | def ContentsValidator(self, filepointer): |
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334 | 'Look through the file for expected types of lines in a valid q-step file' |
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335 | Ndata = 0 |
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336 | for i,S in enumerate(filepointer): |
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337 | vals = S.split() |
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338 | if len(vals) >= 2: |
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339 | try: |
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340 | data = [float(val) for val in vals] |
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341 | Ndata += 1 |
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342 | except ValueError: |
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343 | pass |
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344 | if not Ndata: |
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345 | self.errors = 'No 2 or more column numeric data found' |
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346 | return False |
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347 | return True # no errors encountered |
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348 | |
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349 | def Reader(self,filename,filepointer, ParentFrame=None, **unused): |
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350 | print 'Read a q-step text file' |
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351 | x = [] |
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352 | y = [] |
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353 | w = [] |
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354 | try: |
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355 | wave = 1.5428 #Cuka default |
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356 | Temperature = 300 |
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357 | Ndata = 0 |
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358 | for i,S in enumerate(filepointer): |
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359 | if len(S) == 1: #skip blank line |
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360 | continue |
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361 | if '=' in S: |
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362 | self.comments.append(S[:-1]) |
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363 | if 'wave' in S.split('=')[0].lower(): |
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364 | try: |
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365 | wave = float(S.split('=')[1]) |
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366 | except: |
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367 | pass |
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368 | continue |
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369 | vals = S.split() |
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370 | if len(vals) >= 2: |
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371 | try: |
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372 | data = [float(val) for val in vals] |
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373 | x.append(float(data[0])/10.) #convert to A-1 |
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374 | f = float(data[1]) |
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375 | if f <= 0.0: |
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376 | y.append(0.0) |
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377 | w.append(1.0) |
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378 | elif len(vals) > 2: |
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379 | y.append(float(data[1])) |
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380 | w.append(1.0/float(data[2])**2) |
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381 | else: |
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382 | y.append(float(data[1])) |
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383 | w.append(1.0/float(data[1])) |
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384 | except ValueError: |
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385 | msg = 'Error in line '+str(i+1) |
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386 | print msg |
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387 | continue |
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388 | N = len(x) |
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389 | for S in self.comments: |
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390 | if 'Temp' in S.split('=')[0]: |
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391 | try: |
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392 | Temperature = float(S.split('=')[1]) |
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393 | except: |
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394 | pass |
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395 | self.instdict['wave'] = wave |
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396 | self.instdict['type'] = 'LNC' |
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397 | x = np.array(x) |
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398 | self.smallangledata = [ |
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399 | x, # x-axis values q |
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400 | np.array(y), # small angle pattern intensities |
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401 | np.array(w), # 1/sig(intensity)^2 values (weights) |
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402 | np.zeros(N), # calc. intensities (zero) |
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403 | np.zeros(N), # obs-calc profiles |
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404 | np.zeros(N), # fix bkg |
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405 | ] |
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406 | self.smallangleentry[0] = filename |
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407 | self.smallangleentry[2] = 1 # xye file only has one bank |
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408 | self.idstring = ospath.basename(filename) |
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409 | # scan comments for temperature |
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410 | self.Sample['Temperature'] = Temperature |
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411 | |
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412 | return True |
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413 | except Exception as detail: |
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414 | self.errors += '\n '+str(detail) |
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415 | print self.formatName+' read error:'+str(detail) # for testing |
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416 | import traceback |
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417 | traceback.print_exc(file=sys.stdout) |
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418 | return False |
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