1 | import os, sys |
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2 | import pylab |
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3 | from copy import deepcopy |
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4 | import math |
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5 | class DataReader: |
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6 | """ Simple data reader for Igor data files """ |
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7 | |
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8 | def __init__(self, filename=None): |
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9 | """ Init |
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10 | @param filename: Name of Igor data file to read |
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11 | """ |
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12 | self.file = filename |
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13 | self.x = [] |
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14 | self.y = [] |
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15 | self.image = [] |
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16 | |
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17 | # Detector info |
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18 | self.wavelength = 0.0 |
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19 | self.distance = 0.0 |
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20 | self.center_x = 63.5 |
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21 | self.center_y = 63.5 |
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22 | |
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23 | def read(self,filename=None): |
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24 | """ Read file """ |
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25 | # Check if the file is there |
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26 | self.file=filename |
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27 | if not os.path.isfile(self.file): |
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28 | raise ValueError, \ |
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29 | "Specified file %s is not a regular file" % self.file |
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30 | |
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31 | # Read file |
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32 | f = open(self.file,'r') |
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33 | buf = f.read() |
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34 | |
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35 | # Get content |
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36 | dataStarted = False |
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37 | |
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38 | |
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39 | lines = buf.split('\n') |
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40 | itot = 0 |
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41 | self.x = [] |
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42 | self.y = [] |
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43 | self.image = [] |
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44 | |
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45 | ncounts = 0 |
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46 | |
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47 | #x = pylab.arange(0, 128, 1) |
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48 | #y = pylab.arange(0, 128, 1) |
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49 | x = pylab.arange(-.5, .5, 1.0/128) |
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50 | y = pylab.arange(-.5, .5, 1.0/128) |
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51 | X, Y = pylab.meshgrid(x, y) |
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52 | Z = deepcopy(X) |
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53 | |
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54 | xmin = None |
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55 | xmax = None |
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56 | ymin = None |
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57 | ymax = None |
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58 | |
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59 | i_x = 0 |
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60 | i_y = -1 |
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61 | |
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62 | isInfo = False |
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63 | isCenter = False |
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64 | for line in lines: |
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65 | |
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66 | # Find setup info line |
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67 | if isInfo: |
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68 | isInfo = False |
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69 | line_toks = line.split() |
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70 | # Wavelength in Angstrom |
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71 | try: |
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72 | wavelength = float(line_toks[1]) |
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73 | except: |
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74 | raise ValueError,"DataReader: can't read this file, missing wavelength" |
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75 | # Distance in meters |
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76 | try: |
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77 | distance = float(line_toks[3]) |
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78 | except: |
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79 | raise ValueError,"DataReader: can't read this file, missing distance" |
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80 | |
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81 | if line.count("LAMBDA")>0: |
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82 | isInfo = True |
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83 | |
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84 | # Find center info line |
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85 | if isCenter: |
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86 | isCenter = False |
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87 | line_toks = line.split() |
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88 | # Center in bin number |
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89 | center_x = float(line_toks[0]) |
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90 | center_y = float(line_toks[1]) |
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91 | |
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92 | if line.count("BCENT")>0: |
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93 | isCenter = True |
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94 | |
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95 | |
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96 | # Find data start |
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97 | if line.count("***")>0: |
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98 | dataStarted = True |
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99 | |
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100 | # Check that we have all the info |
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101 | if wavelength == None \ |
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102 | or distance == None \ |
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103 | or center_x == None \ |
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104 | or center_y == None: |
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105 | raise ValueError, "Missing information in data file" |
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106 | |
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107 | if dataStarted == True: |
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108 | try: |
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109 | value = float(line) |
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110 | except: |
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111 | continue |
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112 | |
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113 | # Get bin number |
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114 | if math.fmod(itot, 128)==0: |
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115 | i_x = 0 |
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116 | i_y += 1 |
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117 | else: |
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118 | i_x += 1 |
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119 | |
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120 | Z[i_y][i_x] = value |
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121 | ncounts += 1 |
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122 | |
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123 | # Det 640 x 640 mm |
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124 | # Q = 4pi/lambda sin(theta/2) |
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125 | # Bin size is 0.5 cm |
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126 | theta = (i_x-center_x+1)*0.5 / distance / 100.0 |
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127 | qx = 4.0*math.pi/wavelength * math.sin(theta/2.0) |
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128 | if xmin==None or qx<xmin: |
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129 | xmin = qx |
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130 | if xmax==None or qx>xmax: |
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131 | xmax = qx |
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132 | |
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133 | theta = (i_y-center_y+1)*0.5 / distance / 100.0 |
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134 | qy = 4.0*math.pi/wavelength * math.sin(theta/2.0) |
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135 | if ymin==None or qy<ymin: |
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136 | ymin = qy |
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137 | if ymax==None or qy>ymax: |
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138 | ymax = qy |
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139 | |
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140 | |
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141 | if not qx in self.x: |
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142 | self.x.append(qx) |
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143 | if not qy in self.y: |
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144 | self.y.append(qy) |
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145 | |
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146 | itot += 1 |
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147 | |
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148 | |
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149 | theta = 0.25 / distance / 100.0 |
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150 | xstep = 4.0*math.pi/wavelength * math.sin(theta/2.0) |
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151 | |
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152 | theta = 0.25 / distance / 100.0 |
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153 | ystep = 4.0*math.pi/wavelength * math.sin(theta/2.0) |
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154 | |
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155 | # Store q max |
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156 | if xmax>ymax: |
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157 | self.qmax = xmax |
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158 | else: |
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159 | self.qmax = ymax |
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160 | |
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161 | #config.printEVT("Read %g points from file %s" % (ncounts, self.file)) |
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162 | |
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163 | self.wavelength = wavelength |
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164 | self.distance = distance*1000.0 |
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165 | self.center_x = center_x |
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166 | self.center_y = center_y |
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167 | |
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168 | return Z, xmin-xstep/2.0, xmax+xstep/2.0, ymin-ystep/2.0, ymax+ystep/2.0 |
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169 | |
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