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