[6cfe703] | 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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[e40b651] | 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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[831149e] | 9 | import transform |
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| 10 | |
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| 11 | |
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[6cfe703] | 12 | class LinearFit(wx.Dialog): |
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[e40b651] | 13 | #def __init__(self, parent, id, title): |
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[f52bea1] | 14 | def __init__(self, parent, plottable, push_data,transform, id, title): |
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[106ef4d] | 15 | wx.Dialog.__init__(self, parent, id, title, size=(450, 300)) |
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[6cfe703] | 16 | """ |
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| 17 | for the fit window |
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| 18 | """ |
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| 19 | self.parent = parent |
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[f52bea1] | 20 | self.transform = transform |
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[e40b651] | 21 | #dialog panel self call function to plot the fitting function |
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| 22 | self.push_data = push_data |
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| 23 | #dialog self plottable |
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| 24 | self.plottable = plottable |
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| 25 | |
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| 26 | #Dialog interface |
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[6cfe703] | 27 | panel = wx.Panel(self, -1, style=wx.SIMPLE_BORDER) |
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| 28 | vbox = wx.BoxSizer(wx.VERTICAL) |
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[106ef4d] | 29 | sizer = wx.GridBagSizer(5,5) |
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| 30 | |
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[6cfe703] | 31 | vbox.Add(panel, 1, wx.EXPAND | wx.ALL) |
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| 32 | |
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[f63f5ff] | 33 | self.tcA = wx.TextCtrl(panel, -1,size=(120,20),style=wx.SIMPLE_BORDER) |
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| 34 | self.tcErrA = wx.TextCtrl(panel, -1,size=(120,20),style=wx.SIMPLE_BORDER) |
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| 35 | self.tcB = wx.TextCtrl(panel, -1,size=(120,20),style=wx.SIMPLE_BORDER) |
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| 36 | self.tcErrB = wx.TextCtrl(panel, -1,size=(120,20),style=wx.SIMPLE_BORDER) |
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| 37 | self.tcChi = wx.TextCtrl(panel, -1,size=(120,20),style=wx.SIMPLE_BORDER) |
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[831149e] | 38 | self.FXmin = wx.TextCtrl(panel,-1,size=(120,20),style=wx.SIMPLE_BORDER) |
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| 39 | self.FXmax = wx.TextCtrl(panel,-1,size=(120,20),style=wx.SIMPLE_BORDER) |
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| 40 | self.PXmin = wx.TextCtrl(panel,-1,size=(120,20),style=wx.SIMPLE_BORDER) |
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| 41 | self.PXmax = wx.TextCtrl(panel,-1,size=(120,20),style=wx.SIMPLE_BORDER) |
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[106ef4d] | 42 | self.btFit =wx.Button(panel,-1,'Fit',size=(120, 30)) |
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| 43 | self.btClose =wx.Button(panel, wx.ID_CANCEL,'Close',size=(90, 30) ) |
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| 44 | self.static_line_1 = wx.StaticLine(panel, -1) |
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[8e44d51] | 45 | |
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[106ef4d] | 46 | ix = 0 |
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[6cfe703] | 47 | iy = 1 |
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[106ef4d] | 48 | sizer.Add(wx.StaticText(panel, -1, 'y = Ax +B'),(iy, ix),(1,1),\ |
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| 49 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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| 50 | iy+=1 |
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| 51 | sizer.Add(wx.StaticText(panel, -1, 'Param A'),(iy, ix),\ |
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| 52 | (1,1), wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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[6cfe703] | 53 | ix += 1 |
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[106ef4d] | 54 | sizer.Add(self.tcA,(iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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[6cfe703] | 55 | ix += 1 |
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[106ef4d] | 56 | sizer.Add(wx.StaticText(panel, -1, '+/-'),(iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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[6cfe703] | 57 | ix += 1 |
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[106ef4d] | 58 | sizer.Add(self.tcErrA, (iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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[6cfe703] | 59 | iy += 1 |
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[106ef4d] | 60 | ix = 0 |
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| 61 | sizer.Add(wx.StaticText(panel, -1, 'Param B'),(iy, ix),(1,1),\ |
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| 62 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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[6cfe703] | 63 | ix += 1 |
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[106ef4d] | 64 | sizer.Add(self.tcB, (iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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[6cfe703] | 65 | ix += 1 |
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[106ef4d] | 66 | sizer.Add(wx.StaticText(panel, -1, '+/-'),(iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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[6cfe703] | 67 | ix += 1 |
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[106ef4d] | 68 | sizer.Add(self.tcErrB, (iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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[6cfe703] | 69 | iy += 1 |
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[106ef4d] | 70 | ix = 0 |
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| 71 | sizer.Add(wx.StaticText(panel, -1, 'Chi ^{2}'),(iy, ix),(1,1),\ |
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| 72 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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[6cfe703] | 73 | ix += 1 |
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[106ef4d] | 74 | sizer.Add(self.tcChi, (iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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[6cfe703] | 75 | iy += 1 |
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| 76 | ix = 1 |
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[106ef4d] | 77 | sizer.Add(wx.StaticText(panel, -1, 'Xmin'),(iy, ix),(1,1),\ |
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| 78 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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[6cfe703] | 79 | ix += 2 |
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[106ef4d] | 80 | sizer.Add(wx.StaticText(panel, -1, 'Xmax'),(iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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[6cfe703] | 81 | iy += 1 |
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[831149e] | 82 | ix = 0 |
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| 83 | sizer.Add(wx.StaticText(panel, -1, 'Plotted Range'),(iy, ix),(1,1),\ |
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| 84 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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| 85 | ix +=1 |
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| 86 | sizer.Add(self.PXmin, (iy, ix),(1,1),\ |
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| 87 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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| 88 | ix += 2 |
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| 89 | sizer.Add(self.PXmax, (iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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| 90 | iy += 1 |
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| 91 | ix = 0 |
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| 92 | sizer.Add(wx.StaticText(panel, -1, 'Fit Range'),(iy, ix),(1,1),\ |
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| 93 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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| 94 | ix += 1 |
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| 95 | sizer.Add(self.FXmin, (iy, ix),(1,1),\ |
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[106ef4d] | 96 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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[6cfe703] | 97 | ix += 2 |
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[831149e] | 98 | sizer.Add(self.FXmax, (iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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[6cfe703] | 99 | iy += 1 |
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[106ef4d] | 100 | ix = 1 |
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| 101 | |
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| 102 | sizer.Add(self.btFit, (iy, ix),(1,1), wx.LEFT|wx.ADJUST_MINSIZE, 0) |
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[e40b651] | 103 | self.btFit.Bind(wx.EVT_BUTTON, self._onFit) |
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[106ef4d] | 104 | ix += 2 |
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| 105 | sizer.Add(self.btClose, (iy, ix),(1,1),\ |
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| 106 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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| 107 | |
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[6cfe703] | 108 | panel.SetSizer(sizer) |
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| 109 | self.SetSizer(vbox) |
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| 110 | self.Centre() |
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[8e44d51] | 111 | |
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[e40b651] | 112 | # Receives the type of model for the fitting |
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| 113 | from LineModel import LineModel |
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| 114 | self.model = LineModel() |
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[1fdb81d] | 115 | |
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| 116 | #Display the fittings values |
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| 117 | self.default_A = self.model.getParam('A') |
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| 118 | self.default_B = self.model.getParam('B') |
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| 119 | self.cstA = fittings.Parameter(self.model, 'A', self.default_A) |
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| 120 | self.cstB = fittings.Parameter(self.model, 'B', self.default_B) |
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| 121 | |
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| 122 | # Set default value of parameter in fit dialog |
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| 123 | self.tcA.SetLabel(str(self.default_A)) |
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| 124 | self.tcB.SetLabel(str(self.default_B)) |
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| 125 | self.tcErrA.SetLabel(str(0.0)) |
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| 126 | self.tcErrB.SetLabel(str(0.0)) |
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| 127 | self.tcChi.SetLabel(str(0.0)) |
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[831149e] | 128 | if self.plottable.x !=[]: |
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| 129 | self.mini =min(self.plottable.x) |
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| 130 | self.maxi =max(self.plottable.x) |
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| 131 | self.FXmin.SetLabel(str(self.mini)) |
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| 132 | self.FXmax.SetLabel(str(self.maxi)) |
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| 133 | |
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| 134 | self.PXmin.SetValue(str(self.mini)) |
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| 135 | self.PXmax.SetValue(str(self.maxi)) |
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| 136 | self.PXmin.Disable() |
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| 137 | self.PXmax.Disable() |
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[8e44d51] | 138 | |
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[e40b651] | 139 | # new data for the fit |
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| 140 | self.file_data1 = Theory1D(x=[], y=[], dy=None) |
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[5789654] | 141 | self.file_data1.name = "Fit" |
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[f193585] | 142 | # Receive transformations of x and y |
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| 143 | self.xtrans,self.ytrans= self.transform() |
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[6cfe703] | 144 | def _onFit(self ,event): |
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[f52bea1] | 145 | """ |
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| 146 | Performs the fit. Receive an event when clicking on the button Fit.Computes chisqr , |
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| 147 | A and B parameters of the best linear fit y=Ax +B |
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| 148 | Push a plottable to |
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| 149 | """ |
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[1fdb81d] | 150 | |
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[f52bea1] | 151 | tempx=[] |
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| 152 | tempy=[] |
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[7a03e65] | 153 | tempdy = [] |
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| 154 | |
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[5789654] | 155 | #store the values of View in x,y, dx,dy |
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| 156 | x,y,dx,dy=self.plottable.returnValuesOfView() |
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[7a03e65] | 157 | # Receive transformations of x and y |
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[f52bea1] | 158 | self.xtrans,self.ytrans= self.transform() |
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[1fdb81d] | 159 | |
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[106ef4d] | 160 | # Check if View contains a x array .we online fit when x exits |
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| 161 | # makes transformation for y as a line to fit |
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[831149e] | 162 | if x != []: |
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[f193585] | 163 | if(self.checkFitValues(self.FXmin) == True): |
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| 164 | #Check if the field of Fit Dialog contain values and use the x max and min of the user |
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| 165 | xmin,xmax = self._checkVal(self.FXmin.GetValue(),self.FXmax.GetValue()) |
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| 166 | xminView=self.floatTransform(xmin) |
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| 167 | xmaxView=self.floatTransform(xmax) |
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[3aa7074] | 168 | |
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[f193585] | 169 | # Store the transformed values of view x, y,dy in variables before the fit |
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| 170 | if self.ytrans.lower() == "log10(y)": |
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| 171 | if (self.xtrans.lower() == "log10(x)"): |
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| 172 | for i in range(len(x)): |
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| 173 | if x[i]>=xmin: |
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| 174 | tempy.append(math.log10(y[i])) |
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| 175 | tempdy.append(transform.errToLogX(y[i],0,dy[i],0)) |
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| 176 | else: |
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| 177 | for y_i in y: |
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| 178 | tempy.append(math.log10(y_i)) |
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| 179 | tempdy.append(transform.errToLogX(y[i],0,dy[i],0)) |
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| 180 | else: |
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| 181 | tempy = y |
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| 182 | tempdy = dy |
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| 183 | |
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| 184 | if (self.xtrans.lower() == "log10(x)"): |
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| 185 | for x_i in x: |
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| 186 | if x_i >= xmin: |
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| 187 | tempx.append(math.log10(x_i)) |
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| 188 | else: |
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| 189 | tempx = x |
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| 190 | |
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| 191 | #for y_i in y: |
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| 192 | # dy = math.sqrt(math.fabs(y_i)) |
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| 193 | # if dy >= y_i: |
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| 194 | # dy = 0.9*y_i |
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| 195 | # tempdy.append(dy) |
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| 196 | |
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| 197 | #Find the fitting parameters |
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| 198 | |
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| 199 | chisqr, out, cov = fittings.sansfit(self.model, |
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| 200 | [self.cstA, self.cstB],tempx, tempy,tempdy,xminView,xmaxView) |
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| 201 | print "this out",out |
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| 202 | #Check that cov and out are iterable before displaying them |
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| 203 | if cov ==None: |
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| 204 | errA =0.0 |
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| 205 | errB =0.0 |
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| 206 | else: |
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| 207 | errA= math.sqrt(cov[0][0]) |
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| 208 | errB= math.sqrt(cov[1][1]) |
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| 209 | if out==None: |
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| 210 | cstA=0.0 |
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| 211 | cstB=0.0 |
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| 212 | else: |
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| 213 | cstA=out[0] |
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| 214 | cstB=out[1] |
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| 215 | # Reset model with the right values of A and B |
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| 216 | self.model.setParam('A', float(cstA)) |
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| 217 | self.model.setParam('B', float(cstB)) |
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[3aa7074] | 218 | |
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[f193585] | 219 | tempx = [] |
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| 220 | tempy = [] |
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| 221 | y_model = 0.0 |
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| 222 | # load tempy with the minimum transformation |
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| 223 | |
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| 224 | if self.xtrans == "log10(x)": |
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| 225 | y_model = self.model.run(math.log10(xmin)) |
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| 226 | tempx.append(xmin) |
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| 227 | else: |
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| 228 | y_model = self.model.run(xminView) |
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| 229 | tempx.append(xminView) |
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| 230 | |
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| 231 | if self.ytrans == "log10(y)": |
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| 232 | tempy.append(math.pow(10,y_model)) |
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| 233 | print "tempy",tempy |
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| 234 | else: |
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| 235 | tempy.append(y_model) |
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| 236 | |
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| 237 | # load tempy with the maximum transformation |
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| 238 | if self.xtrans == "log10(x)": |
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| 239 | y_model = self.model.run(math.log10(xmax)) |
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| 240 | tempx.append(xmax) |
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| 241 | else: |
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| 242 | y_model = self.model.run(xmaxView) |
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| 243 | tempx.append(xmaxView) |
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| 244 | |
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| 245 | if self.ytrans == "log10(y)": |
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| 246 | tempy.append(math.pow(10,y_model)) |
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| 247 | else: |
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| 248 | tempy.append(y_model) |
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| 249 | |
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| 250 | # Create new data plottable with result |
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| 251 | self.file_data1.x =[] |
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| 252 | self.file_data1.y =[] |
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| 253 | self.file_data1.x =tempx |
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| 254 | self.file_data1.y =tempy |
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| 255 | self.file_data1.dx=None |
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| 256 | self.file_data1.dy=None |
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| 257 | #Load the view with the new values |
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| 258 | self.file_data1.reset_view() |
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[831149e] | 259 | |
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[f193585] | 260 | #Send the data to display to the PlotPanel |
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| 261 | self.push_data(self.file_data1) |
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| 262 | |
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| 263 | # Display the fitting value on the Fit Dialog |
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| 264 | self._onsetValues(cstA, cstB, errA,errB,chisqr) |
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[7a03e65] | 265 | |
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[6cfe703] | 266 | def _onsetValues(self,cstA,cstB,errA,errB,Chi): |
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[f52bea1] | 267 | """ |
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| 268 | Display the value on fit Dialog |
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| 269 | """ |
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| 270 | self.tcA.SetValue(str(cstA)) |
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| 271 | self.tcB.SetValue(str(cstB)) |
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| 272 | self.tcErrA.SetValue(str(errA)) |
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| 273 | self.tcErrB.SetValue(str(errB)) |
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| 274 | self.tcChi.SetValue(str(Chi)) |
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[e40b651] | 275 | |
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| 276 | def _returnPlottable(self): |
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| 277 | return self.file_data1 |
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| 278 | |
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[831149e] | 279 | def _checkVal(self,usermin, usermax): |
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[6cfe703] | 280 | """ |
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[831149e] | 281 | Ensure that fields parameter contains a min and a max value |
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| 282 | within x min and x max range |
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[6cfe703] | 283 | """ |
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[831149e] | 284 | if float(usermin) < float(usermax): |
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| 285 | if float(usermin) >= float(self.mini) and float(usermin) < float(self.maxi): |
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| 286 | self.FXmin.SetValue(str(usermin)) |
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| 287 | else: |
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| 288 | self.FXmin.SetValue(str(self.mini)) |
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| 289 | |
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| 290 | if float(usermax) > float(self.mini) and float(usermax) <= float(self.maxi): |
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| 291 | self.FXmax.SetLabel(str(usermax)) |
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| 292 | else: |
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| 293 | self.FXmax.SetLabel(str(self.maxi)) |
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| 294 | |
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| 295 | mini =float(self.FXmin.GetValue()) |
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| 296 | maxi =float(self.FXmax.GetValue()) |
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| 297 | |
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| 298 | return mini, maxi |
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| 299 | def floatTransform(self,x): |
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| 300 | """ |
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| 301 | transform a float.It is use to determine the x.View min and x.View max for values |
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| 302 | not in x |
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| 303 | """ |
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| 304 | if ( self.xtrans=="x" ): |
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| 305 | return transform.toX(x) |
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| 306 | |
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[f193585] | 307 | if ( self.xtrans=="x^(2)" ): |
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[831149e] | 308 | return transform.toX2(x) |
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| 309 | |
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| 310 | if (self.xtrans=="log10(x)" ): |
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| 311 | if x >0: |
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| 312 | return math.log10(x) |
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| 313 | else: |
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| 314 | raise ValueError,"cannot compute log of a negative number" |
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[f193585] | 315 | |
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| 316 | def checkFitValues(self,item): |
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| 317 | """ |
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| 318 | Check the validity of input values |
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| 319 | """ |
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| 320 | flag = True |
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| 321 | value = item.GetValue() |
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| 322 | # Check for possible values entered |
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| 323 | if (self.xtrans=="log10(x)"): |
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| 324 | if (float(value) > 0): |
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| 325 | item.SetBackgroundColour(wx.WHITE) |
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| 326 | item.Refresh() |
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| 327 | else: |
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| 328 | flag = False |
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| 329 | item.SetBackgroundColour("pink") |
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| 330 | item.Refresh() |
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| 331 | |
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| 332 | return flag |
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[831149e] | 333 | |
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| 334 | |
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[106ef4d] | 335 | |
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[6cfe703] | 336 | if __name__ == "__main__": |
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| 337 | app = wx.App() |
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| 338 | dialog=LinearFit(None, -1, 'Fitting') |
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| 339 | dialog.ShowModal() |
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| 340 | app.MainLoop() |
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| 341 | |
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| 342 | |
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