1 | #!/usr/bin/python |
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2 | |
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3 | # fitDialog.py |
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4 | |
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5 | import wx |
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6 | from PlotPanel import PlotPanel |
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7 | from plottables import Theory1D |
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8 | import math,pylab,fittings |
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9 | import transform |
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10 | |
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11 | def format_number(value, high=False): |
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12 | """ |
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13 | Return a float in a standardized, human-readable formatted string |
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14 | """ |
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15 | try: |
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16 | value = float(value) |
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17 | except: |
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18 | print "returning 0" |
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19 | return "0" |
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20 | |
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21 | if high: |
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22 | return "%-6.4g" % value |
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23 | else: |
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24 | return "%-5.3g" % value |
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25 | |
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26 | |
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27 | class LinearFit(wx.Dialog): |
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28 | def __init__(self, parent, plottable, push_data,transform, id, title): |
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29 | wx.Dialog.__init__(self, parent, id, title, size=(400, 350)) |
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30 | |
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31 | """ |
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32 | Dialog window pops- up when select Linear fit on Context menu |
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33 | Displays fitting parameters |
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34 | """ |
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35 | self.parent = parent |
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36 | self.transform = transform |
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37 | |
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38 | # Registered owner for close event |
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39 | self._registered_close = None |
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40 | |
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41 | #dialog panel self call function to plot the fitting function |
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42 | self.push_data = push_data |
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43 | #dialog self plottable |
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44 | self.plottable = plottable |
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45 | |
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46 | # Receive transformations of x and y |
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47 | self.xLabel,self.yLabel,self.Avalue,self.Bvalue,\ |
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48 | self.ErrAvalue,self.ErrBvalue,self.Chivalue= self.transform() |
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49 | |
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50 | #Dialog interface |
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51 | vbox = wx.BoxSizer(wx.VERTICAL) |
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52 | sizer = wx.GridBagSizer(5,5) |
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53 | |
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54 | _BOX_WIDTH = 100 |
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55 | |
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56 | self.tcA = wx.TextCtrl(self, -1,size=(_BOX_WIDTH,20)) |
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57 | self.tcA.SetToolTipString("Fit value for the slope parameter.") |
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58 | self.tcErrA = wx.TextCtrl(self, -1,size=(_BOX_WIDTH,20)) |
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59 | self.tcErrA.SetToolTipString("Error on the slope parameter.") |
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60 | self.tcB = wx.TextCtrl(self, -1,size=(_BOX_WIDTH,20)) |
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61 | self.tcA.SetToolTipString("Fit value for the constant parameter.") |
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62 | self.tcErrB = wx.TextCtrl(self, -1,size=(_BOX_WIDTH,20)) |
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63 | self.tcErrB.SetToolTipString("Error on the constant parameter.") |
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64 | self.tcChi = wx.TextCtrl(self, -1,size=(_BOX_WIDTH,20)) |
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65 | self.tcChi.SetToolTipString("Chi^2 over degrees of freedom.") |
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66 | self.xminFit = wx.TextCtrl(self,-1,size=(_BOX_WIDTH,20)) |
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67 | self.xminFit.SetToolTipString("Enter the minimum value on the x-axis to be included in the fit.") |
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68 | self.xmaxFit = wx.TextCtrl(self,-1,size=(_BOX_WIDTH,20)) |
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69 | self.xmaxFit.SetToolTipString("Enter the maximum value on the x-axis to be included in the fit.") |
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70 | self.initXmin = wx.TextCtrl(self,-1,size=(_BOX_WIDTH,20)) |
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71 | self.initXmin.SetToolTipString("Minimum value on the x-axis for the plotted data.") |
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72 | self.initXmax = wx.TextCtrl(self,-1,size=(_BOX_WIDTH,20)) |
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73 | self.initXmax.SetToolTipString("Maximum value on the x-axis for the plotted data.") |
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74 | |
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75 | # Make the info box not editable |
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76 | #_BACKGROUND_COLOR = '#ffdf85' |
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77 | _BACKGROUND_COLOR = self.GetBackgroundColour() |
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78 | self.initXmin.SetEditable(False) |
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79 | self.initXmin.SetBackgroundColour(_BACKGROUND_COLOR) |
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80 | self.initXmax.SetEditable(False) |
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81 | self.initXmax.SetBackgroundColour(_BACKGROUND_COLOR) |
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82 | |
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83 | |
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84 | # Buttons on the bottom |
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85 | self.static_line_1 = wx.StaticLine(self, -1) |
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86 | self.btFit =wx.Button(self,-1,'Fit') |
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87 | self.btFit.Bind(wx.EVT_BUTTON, self._onFit) |
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88 | self.btFit.SetToolTipString("Perform fit.") |
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89 | self.btClose =wx.Button(self, wx.ID_CANCEL,'Close') |
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90 | self.btClose.Bind(wx.EVT_BUTTON, self._on_close) |
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91 | |
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92 | # Intro |
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93 | explanation = "Perform fit for y(x) = Ax + B" |
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94 | |
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95 | vbox.Add(sizer) |
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96 | |
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97 | ix = 0 |
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98 | iy = 1 |
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99 | sizer.Add(wx.StaticText(self, -1, explanation),(iy, ix),\ |
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100 | (1,1), wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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101 | iy += 2 |
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102 | sizer.Add(wx.StaticText(self, -1, 'Parameter A'),(iy, ix),\ |
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103 | (1,1), wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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104 | ix += 1 |
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105 | sizer.Add(self.tcA,(iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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106 | ix += 1 |
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107 | sizer.Add(wx.StaticText(self, -1, '+/-'),(iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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108 | ix += 1 |
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109 | sizer.Add(self.tcErrA, (iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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110 | iy += 1 |
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111 | ix = 0 |
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112 | sizer.Add(wx.StaticText(self, -1, 'Parameter B'),(iy, ix),(1,1),\ |
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113 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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114 | ix += 1 |
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115 | sizer.Add(self.tcB, (iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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116 | ix += 1 |
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117 | sizer.Add(wx.StaticText(self, -1, '+/-'),(iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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118 | ix += 1 |
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119 | sizer.Add(self.tcErrB, (iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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120 | iy += 1 |
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121 | ix = 0 |
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122 | sizer.Add(wx.StaticText(self, -1, 'Chi2/dof'),(iy, ix),(1,1),\ |
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123 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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124 | ix += 1 |
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125 | sizer.Add(self.tcChi, (iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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126 | iy += 2 |
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127 | ix = 1 |
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128 | sizer.Add(wx.StaticText(self, -1, 'Min'),(iy, ix),(1,1),\ |
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129 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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130 | ix += 2 |
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131 | sizer.Add(wx.StaticText(self, -1, 'Max'),(iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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132 | iy += 1 |
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133 | ix = 0 |
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134 | sizer.Add(wx.StaticText(self, -1, 'Maximum range (linear scale)'),(iy, ix),(1,1),\ |
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135 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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136 | ix +=1 |
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137 | sizer.Add(self.initXmin, (iy, ix),(1,1),\ |
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138 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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139 | ix += 2 |
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140 | sizer.Add(self.initXmax, (iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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141 | |
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142 | iy += 1 |
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143 | ix = 0 |
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144 | sizer.Add(wx.StaticText(self, -1, 'Fit range of '+self.xLabel),(iy, ix),(1,1),\ |
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145 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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146 | ix += 1 |
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147 | sizer.Add(self.xminFit, (iy, ix),(1,1),\ |
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148 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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149 | ix += 2 |
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150 | sizer.Add(self.xmaxFit, (iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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151 | iy += 1 |
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152 | ix = 1 |
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153 | |
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154 | vbox.Add(self.static_line_1, 0, wx.EXPAND, 0) |
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155 | |
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156 | sizer_button = wx.BoxSizer(wx.HORIZONTAL) |
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157 | sizer_button.Add((20, 20), 1, wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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158 | sizer_button.Add(self.btFit, 0, wx.LEFT|wx.RIGHT|wx.ADJUST_MINSIZE, 10) |
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159 | sizer_button.Add(self.btClose, 0, wx.LEFT|wx.RIGHT|wx.ADJUST_MINSIZE, 10) |
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160 | vbox.Add(sizer_button, 0, wx.EXPAND|wx.BOTTOM|wx.TOP, 10) |
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161 | |
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162 | |
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163 | |
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164 | sizer.Add(self.btFit, (iy, ix),(1,1), wx.LEFT|wx.ADJUST_MINSIZE, 0) |
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165 | |
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166 | |
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167 | #panel.SetSizer(sizer) |
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168 | self.SetSizer(vbox) |
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169 | self.Centre() |
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170 | |
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171 | # Receives the type of model for the fitting |
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172 | from LineModel import LineModel |
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173 | self.model = LineModel() |
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174 | |
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175 | #Display the fittings values |
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176 | self.default_A = self.model.getParam('A') |
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177 | self.default_B = self.model.getParam('B') |
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178 | self.cstA = fittings.Parameter(self.model, 'A', self.default_A) |
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179 | self.cstB = fittings.Parameter(self.model, 'B', self.default_B) |
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180 | |
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181 | # Set default value of parameter in fit dialog |
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182 | |
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183 | if self.Avalue==None: |
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184 | self.tcA.SetLabel(format_number(self.default_A)) |
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185 | else : |
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186 | self.tcA.SetLabel(format_number(self.Avalue)) |
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187 | if self.Bvalue==None: |
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188 | self.tcB.SetLabel(format_number(self.default_B)) |
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189 | else: |
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190 | self.tcB.SetLabel(format_number(self.Bvalue)) |
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191 | if self.ErrAvalue==None: |
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192 | self.tcErrA.SetLabel(format_number(0.0)) |
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193 | else: |
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194 | self.tcErrA.SetLabel(format_number(self.ErrAvalue)) |
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195 | if self.ErrBvalue==None: |
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196 | self.tcErrB.SetLabel(format_number(0.0)) |
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197 | else: |
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198 | self.tcErrB.SetLabel(format_number(self.ErrBvalue)) |
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199 | if self.Chivalue==None: |
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200 | self.tcChi.SetLabel(format_number(0.0)) |
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201 | else: |
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202 | self.tcChi.SetLabel(format_number(self.Chivalue)) |
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203 | if self.plottable.x !=[]: |
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204 | #store the values of View in self.x,self.y,self.dx,self.dy |
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205 | self.x,self.y,self.dx,self.dy= self.plottable.returnValuesOfView() |
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206 | |
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207 | #self.mini =min(self.x) |
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208 | #self.maxi =max(self.x) |
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209 | |
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210 | try: |
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211 | self.mini = self.floatForwardTransform(min(self.x)) |
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212 | except: |
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213 | self.mini = "Invalid" |
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214 | try: |
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215 | self.maxi = self.floatForwardTransform(max(self.x)) |
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216 | except: |
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217 | self.maxi = "Invalid" |
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218 | |
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219 | self.initXmin.SetValue(format_number(min(self.plottable.x))) |
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220 | self.initXmax.SetValue(format_number(max(self.plottable.x))) |
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221 | |
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222 | self.xminFit.SetLabel(format_number(self.mini)) |
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223 | self.xmaxFit.SetLabel(format_number(self.maxi)) |
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224 | |
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225 | |
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226 | def register_close(self, owner): |
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227 | """ |
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228 | Method to register the close event to a parent |
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229 | window that needs notification when the dialog |
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230 | is closed |
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231 | @param owner: parent window |
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232 | """ |
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233 | self._registered_close = owner |
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234 | |
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235 | def _on_close(self, event): |
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236 | """ |
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237 | Close event. |
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238 | Notify registered owner if available. |
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239 | """ |
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240 | event.Skip() |
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241 | if self._registered_close is not None: |
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242 | self._registered_close() |
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243 | |
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244 | def _onFit(self ,event): |
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245 | """ |
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246 | Performs the fit. Receive an event when clicking on the button Fit.Computes chisqr , |
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247 | A and B parameters of the best linear fit y=Ax +B |
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248 | Push a plottable to |
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249 | """ |
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250 | tempx=[] |
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251 | tempy=[] |
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252 | tempdy = [] |
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253 | |
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254 | |
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255 | |
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256 | |
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257 | # Check if View contains a x array .we online fit when x exits |
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258 | # makes transformation for y as a line to fit |
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259 | if self.x != []: |
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260 | |
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261 | |
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262 | if(self.checkFitValues(self.xminFit) == True): |
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263 | #Check if the field of Fit Dialog contain values and use the x max and min of the user |
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264 | xminView,xmaxView = self._checkVal(self.xminFit.GetValue(),self.xmaxFit.GetValue()) |
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265 | xmin = self.floatInvTransform(xminView) |
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266 | xmax = self.floatInvTransform(xmaxView) |
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267 | |
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268 | |
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269 | # Store the transformed values of view x, y,dy in variables before the fit |
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270 | if self.yLabel.lower() == "log10(y)": |
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271 | if (self.xLabel.lower() == "log10(x)"): |
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272 | for i in range(len(self.x)): |
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273 | if self.x[i]>= math.log10(xmin): |
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274 | tempy.append(math.log10(self.y[i])) |
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275 | tempdy.append(transform.errToLogX(self.y[i],0,self.dy[i],0)) |
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276 | else: |
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277 | for i in range(len(self.y)): |
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278 | tempy.append(math.log10(self.y[i])) |
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279 | tempdy.append(transform.errToLogX(self.y[i],0,self.dy[i],0)) |
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280 | else: |
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281 | tempy = self.y |
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282 | tempdy = self.dy |
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283 | |
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284 | if (self.xLabel.lower() == "log10(x)"): |
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285 | for x_i in self.x: |
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286 | if x_i >= math.log10(xmin): |
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287 | tempx.append(math.log10(x_i)) |
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288 | else: |
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289 | tempx = self.x |
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290 | |
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291 | #Find the fitting parameters |
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292 | # Always use the same defaults, so that fit history doesn't play a role! |
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293 | self.cstA = fittings.Parameter(self.model, 'A', self.default_A) |
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294 | self.cstB = fittings.Parameter(self.model, 'B', self.default_B) |
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295 | |
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296 | if (self.xLabel.lower() == "log10(x)"): |
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297 | chisqr, out, cov = fittings.sansfit(self.model, [self.cstA, self.cstB], |
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298 | tempx, tempy,tempdy,math.log10(xmin),math.log10(xmax)) |
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299 | else: |
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300 | chisqr, out, cov = fittings.sansfit(self.model, |
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301 | [self.cstA, self.cstB],tempx, tempy,tempdy,xminView,xmaxView) |
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302 | |
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303 | # Use chi2/dof |
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304 | if len(tempx)>0: |
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305 | chisqr = chisqr/len(tempx) |
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306 | |
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307 | #Check that cov and out are iterable before displaying them |
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308 | if cov ==None: |
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309 | errA =0.0 |
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310 | errB =0.0 |
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311 | else: |
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312 | errA= math.sqrt(cov[0][0]) |
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313 | errB= math.sqrt(cov[1][1]) |
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314 | if out==None: |
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315 | cstA=0.0 |
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316 | cstB=0.0 |
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317 | else: |
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318 | cstA=out[0] |
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319 | cstB=out[1] |
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320 | # Reset model with the right values of A and B |
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321 | self.model.setParam('A', float(cstA)) |
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322 | self.model.setParam('B', float(cstB)) |
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323 | |
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324 | tempx = [] |
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325 | tempy = [] |
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326 | y_model = 0.0 |
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327 | # load tempy with the minimum transformation |
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328 | |
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329 | if self.xLabel == "log10(x)": |
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330 | y_model = self.model.run(math.log10(xmin)) |
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331 | tempx.append(xmin) |
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332 | else: |
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333 | y_model = self.model.run(xminView) |
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334 | tempx.append(xminView) |
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335 | |
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336 | if self.yLabel == "log10(y)": |
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337 | tempy.append(math.pow(10,y_model)) |
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338 | print "tempy",tempy |
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339 | else: |
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340 | tempy.append(y_model) |
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341 | |
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342 | # load tempy with the maximum transformation |
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343 | if self.xLabel == "log10(x)": |
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344 | y_model = self.model.run(math.log10(xmax)) |
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345 | tempx.append(xmax) |
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346 | else: |
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347 | y_model = self.model.run(xmaxView) |
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348 | tempx.append(xmaxView) |
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349 | |
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350 | if self.yLabel == "log10(y)": |
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351 | tempy.append(math.pow(10,y_model)) |
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352 | else: |
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353 | tempy.append(y_model) |
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354 | #Set the fit parameter display when FitDialog is opened again |
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355 | self.Avalue=cstB |
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356 | self.Bvalue=cstA |
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357 | self.ErrAvalue=errA |
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358 | self.ErrBvalue=errB |
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359 | self.Chivalue=chisqr |
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360 | self.push_data(tempx,tempy,xminView,xmaxView,xmin,xmax,self._ongetValues()) |
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361 | |
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362 | # Display the fitting value on the Fit Dialog |
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363 | self._onsetValues(cstB, cstA, errA,errB,chisqr) |
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364 | |
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365 | |
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366 | |
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367 | def _onsetValues(self,cstA,cstB,errA,errB,Chi): |
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368 | """ |
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369 | Display the value on fit Dialog |
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370 | """ |
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371 | self.tcA.SetValue(format_number(cstA)) |
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372 | self.tcB.SetValue(format_number(cstB)) |
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373 | self.tcErrA.SetValue(format_number(errA)) |
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374 | self.tcErrB.SetValue(format_number(errB)) |
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375 | self.tcChi.SetValue(format_number(Chi)) |
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376 | |
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377 | def _ongetValues(self): |
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378 | """ |
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379 | Display the value on fit Dialog |
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380 | """ |
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381 | return self.Avalue, self.Bvalue,self.ErrAvalue,self.ErrBvalue,self.Chivalue |
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382 | |
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383 | |
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384 | def _checkVal(self,usermin, usermax): |
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385 | """ |
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386 | Ensure that fields parameter contains a min and a max value |
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387 | within x min and x max range |
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388 | """ |
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389 | if float(usermin) < float(usermax): |
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390 | if float(usermin) >= float(self.mini) and float(usermin) < float(self.maxi): |
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391 | self.xminFit.SetValue(format_number(float(usermin))) |
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392 | else: |
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393 | self.xminFit.SetValue(format_number(float(self.mini))) |
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394 | |
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395 | if float(usermax) > float(self.mini) and float(usermax) <= float(self.maxi): |
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396 | self.xmaxFit.SetLabel(format_number(float(usermax))) |
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397 | else: |
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398 | self.xmaxFit.SetLabel(format_number(float(self.maxi))) |
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399 | |
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400 | mini =float(self.xminFit.GetValue()) |
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401 | maxi =float(self.xmaxFit.GetValue()) |
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402 | |
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403 | return mini, maxi |
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404 | |
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405 | def floatForwardTransform(self,x): |
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406 | """ |
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407 | transform a float. |
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408 | """ |
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409 | #TODO: refactor this with proper object-oriented design |
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410 | # This code stinks. |
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411 | |
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412 | if ( self.xLabel=="x" ): |
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413 | return transform.toX(x) |
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414 | |
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415 | if ( self.xLabel=="x^(2)" ): |
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416 | return transform.toX2(x) |
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417 | |
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418 | if (self.xLabel=="log10(x)" ): |
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419 | return math.log10(x) |
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420 | |
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421 | def floatTransform(self,x): |
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422 | """ |
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423 | transform a float.It is use to determine the x.View min and x.View max for values |
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424 | not in x |
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425 | """ |
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426 | #TODO: refactor this with proper object-oriented design |
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427 | # This code stinks. |
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428 | |
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429 | if ( self.xLabel=="x" ): |
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430 | return transform.toX(x) |
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431 | |
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432 | if ( self.xLabel=="x^(2)" ): |
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433 | return transform.toX2(x) |
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434 | |
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435 | if (self.xLabel=="log10(x)" ): |
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436 | if x >0: |
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437 | return x |
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438 | else: |
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439 | raise ValueError,"cannot compute log of a negative number" |
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440 | |
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441 | def floatInvTransform(self,x): |
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442 | """ |
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443 | transform a float.It is use to determine the x.View min and x.View max for values |
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444 | not in x |
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445 | """ |
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446 | #TODO: refactor this. This is just a hack to make the |
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447 | # functionality work without rewritting the whole code |
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448 | # with good design (which really should be done...). |
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449 | |
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450 | if ( self.xLabel=="x^(2)" ): |
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451 | return math.sqrt(x) |
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452 | |
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453 | elif (self.xLabel=="log10(x)" ): |
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454 | return math.pow(10, x) |
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455 | |
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456 | return x |
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457 | |
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458 | def checkFitValues(self,item): |
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459 | """ |
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460 | Check the validity of input values |
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461 | """ |
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462 | flag = True |
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463 | value = item.GetValue() |
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464 | # Check for possible values entered |
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465 | if (self.xLabel=="log10(x)"): |
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466 | if (float(value) > 0): |
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467 | item.SetBackgroundColour(wx.WHITE) |
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468 | item.Refresh() |
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469 | else: |
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470 | flag = False |
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471 | item.SetBackgroundColour("pink") |
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472 | item.Refresh() |
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473 | |
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474 | return flag |
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475 | |
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476 | def setFitRange(self,xmin,xmax,xminTrans,xmaxTrans): |
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477 | """ |
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478 | Set fit parameters |
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479 | """ |
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480 | self.xminFit.SetValue(format_number(xmin)) |
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481 | self.xmaxFit.SetValue(format_number(xmax)) |
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482 | |
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483 | def set_fit_region(self, xmin, xmax): |
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484 | """ |
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485 | Set the fit region |
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486 | @param xmin: minimum x-value to be included in fit |
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487 | @param xmax: maximum x-value to be included in fit |
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488 | """ |
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489 | # Check values |
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490 | try: |
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491 | float(xmin) |
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492 | float(xmax) |
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493 | except: |
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494 | raise ValueError, "LinearFit.set_fit_region: fit range must be floats" |
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495 | self.xminFit.SetValue(format_number(xmin)) |
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496 | self.xmaxFit.SetValue(format_number(xmax)) |
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497 | |
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498 | class MyApp(wx.App): |
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499 | def OnInit(self): |
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500 | wx.InitAllImageHandlers() |
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501 | plot = Theory1D([],[]) |
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502 | dialog = LinearFit(None, plot, self.onFitDisplay,self.returnTrans, -1, 'Linear Fit') |
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503 | if dialog.ShowModal() == wx.ID_OK: |
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504 | pass |
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505 | dialog.Destroy() |
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506 | |
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507 | return 1 |
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508 | |
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509 | def onFitDisplay(self, tempx,tempy,xminView,xmaxView,xmin,xmax,func): |
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510 | pass |
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511 | |
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512 | def returnTrans(self): |
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513 | return '','',0,0,0,0,0 |
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514 | |
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515 | # end of class MyApp |
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516 | |
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517 | if __name__ == "__main__": |
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518 | app = MyApp(0) |
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519 | app.MainLoop() |
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