[52b1f77] | 1 | import wx.lib.newevent |
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[2bf92f2] | 2 | import matplotlib |
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| 3 | matplotlib.interactive(False) |
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| 4 | #Use the WxAgg back end. The Wx one takes too long to render |
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| 5 | matplotlib.use('WXAgg') |
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| 6 | from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg |
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| 7 | from matplotlib.figure import Figure |
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| 8 | import os |
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[52b1f77] | 9 | import fittings |
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[831149e] | 10 | import transform |
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[2bf92f2] | 11 | from canvas import FigureCanvas |
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[f193585] | 12 | from matplotlib.widgets import RectangleSelector |
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| 13 | from pylab import gca, gcf |
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[bbec827] | 14 | from plottables import Theory1D |
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| 15 | #from plottables import Data1D |
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[2bf92f2] | 16 | #TODO: make the plottables interactive |
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| 17 | |
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[05da1f89] | 18 | DEBUG = False |
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| 19 | |
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[52b1f77] | 20 | from plottables import Graph |
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| 21 | #(FuncFitEvent, EVT_FUNC_FIT) = wx.lib.newevent.NewEvent() |
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[b6972a0f] | 22 | import math,pylab,re |
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| 23 | |
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[2bf92f2] | 24 | def show_tree(obj,d=0): |
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| 25 | """Handy function for displaying a tree of graph objects""" |
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| 26 | print "%s%s" % ("-"*d,obj.__class__.__name__) |
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| 27 | if 'get_children' in dir(obj): |
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| 28 | for a in obj.get_children(): show_tree(a,d+1) |
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[43bf807] | 29 | |
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| 30 | from unitConverter import UnitConvertion as convertUnit |
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| 31 | def _convertUnit(pow,unit): |
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[b6972a0f] | 32 | """ |
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| 33 | Displays the unit with the proper convertion |
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| 34 | @param pow: the user set the power of the unit |
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| 35 | @param unit: the unit of the data |
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| 36 | """ |
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[052a66bc] | 37 | return unit |
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[b6972a0f] | 38 | toks=re.match("^", unit) |
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| 39 | if not toks==None: |
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| 40 | unitValue= re.split("{",unit) |
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| 41 | unitPower= re.split("}",unitValue[1]) |
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| 42 | power= int(unitPower[0])*pow |
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| 43 | word= unitValue[0]+"{"+str(power)+"}" |
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| 44 | if power==1: |
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| 45 | tempUnit=re.split("\^",unitValue[0]) |
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| 46 | unit=tempUnit[0] |
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| 47 | else: |
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| 48 | unit = word |
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| 49 | #print"this is unit",unit |
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| 50 | return unit |
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[43bf807] | 51 | |
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[47f695c9] | 52 | def _rescale(lo,hi,step,pt=None,bal=None,scale='linear'): |
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| 53 | """ |
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| 54 | Rescale (lo,hi) by step, returning the new (lo,hi) |
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| 55 | The scaling is centered on pt, with positive values of step |
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| 56 | driving lo/hi away from pt and negative values pulling them in. |
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| 57 | If bal is given instead of point, it is already in [0,1] coordinates. |
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| 58 | |
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| 59 | This is a helper function for step-based zooming. |
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| 60 | """ |
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| 61 | # Convert values into the correct scale for a linear transformation |
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| 62 | # TODO: use proper scale transformers |
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[150c04a] | 63 | loprev = lo |
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| 64 | hiprev = hi |
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| 65 | ptprev = pt |
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[47f695c9] | 66 | if scale=='log': |
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[34ab06d] | 67 | assert lo >0 |
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[150c04a] | 68 | if lo > 0 : |
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| 69 | lo = math.log10(lo) |
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| 70 | if hi > 0 : |
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| 71 | hi = math.log10(hi) |
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[34ae302] | 72 | if pt is not None: pt = math.log10(pt) |
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[150c04a] | 73 | |
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[47f695c9] | 74 | # Compute delta from axis range * %, or 1-% if persent is negative |
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| 75 | if step > 0: |
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| 76 | delta = float(hi-lo)*step/100 |
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| 77 | else: |
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| 78 | delta = float(hi-lo)*step/(100-step) |
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| 79 | |
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| 80 | # Add scale factor proportionally to the lo and hi values, preserving the |
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| 81 | # point under the mouse |
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| 82 | if bal is None: |
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| 83 | bal = float(pt-lo)/(hi-lo) |
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| 84 | lo = lo - bal*delta |
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| 85 | hi = hi + (1-bal)*delta |
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| 86 | |
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| 87 | # Convert transformed values back to the original scale |
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| 88 | if scale=='log': |
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[34ab06d] | 89 | if (lo <= -250) or (hi >= 250): |
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[150c04a] | 90 | lo=loprev |
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| 91 | hi=hiprev |
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| 92 | print "Not possible to scale" |
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[34ab06d] | 93 | |
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[150c04a] | 94 | else: |
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| 95 | lo,hi = math.pow(10.,lo),math.pow(10.,hi) |
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| 96 | #assert lo >0,"lo = %g"%lo |
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| 97 | print "possible to scale" |
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| 98 | |
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[34ab06d] | 99 | print "these are low and high",lo,hi |
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[150c04a] | 100 | |
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[47f695c9] | 101 | return (lo,hi) |
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[2bf92f2] | 102 | |
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| 103 | |
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| 104 | class PlotPanel(wx.Panel): |
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| 105 | """ |
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| 106 | The PlotPanel has a Figure and a Canvas. OnSize events simply set a |
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| 107 | flag, and the actually redrawing of the |
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| 108 | figure is triggered by an Idle event. |
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| 109 | """ |
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| 110 | def __init__(self, parent, id = -1, color = None,\ |
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| 111 | dpi = None, **kwargs): |
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| 112 | wx.Panel.__init__(self, parent, id = id, **kwargs) |
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[52b1f77] | 113 | self.parent = parent |
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[2bf92f2] | 114 | self.figure = Figure(None, dpi) |
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| 115 | #self.figure = pylab.Figure(None, dpi) |
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| 116 | #self.canvas = NoRepaintCanvas(self, -1, self.figure) |
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| 117 | self.canvas = FigureCanvas(self, -1, self.figure) |
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| 118 | self.SetColor(color) |
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| 119 | #self.Bind(wx.EVT_IDLE, self._onIdle) |
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| 120 | #self.Bind(wx.EVT_SIZE, self._onSize) |
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| 121 | self._resizeflag = True |
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| 122 | self._SetSize() |
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| 123 | self.subplot = self.figure.add_subplot(111) |
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| 124 | self.figure.subplots_adjust(left=.2, bottom=.2) |
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| 125 | self.yscale = 'linear' |
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[52b1f77] | 126 | self.xscale = 'linear' |
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[2bf92f2] | 127 | sizer = wx.BoxSizer(wx.VERTICAL) |
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| 128 | sizer.Add(self.canvas,1,wx.EXPAND) |
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| 129 | self.SetSizer(sizer) |
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[f193585] | 130 | |
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[057210c] | 131 | # Graph object to manage the plottables |
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| 132 | self.graph = Graph() |
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[52b1f77] | 133 | #self.Bind(EVT_FUNC_FIT, self.onFitRange) |
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[2bf92f2] | 134 | self.Bind(wx.EVT_CONTEXT_MENU, self.onContextMenu) |
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[52b1f77] | 135 | #self.Bind(EVT_PROPERTY, self._onEVT_FUNC_PROPERTY) |
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[2bf92f2] | 136 | # Define some constants |
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| 137 | self.colorlist = ['b','g','r','c','m','y'] |
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| 138 | self.symbollist = ['o','x','^','v','<','>','+','s','d','D','h','H','p'] |
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[52b1f77] | 139 | #User scale |
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[b43a009] | 140 | self.xLabel ="x" |
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[052a66bc] | 141 | self.yLabel ="y" |
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[dfca3de] | 142 | self.viewModel ="--" |
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[e2914b1] | 143 | # keep track if the previous transformation of x and y in Property dialog |
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[052a66bc] | 144 | self.prevXtrans ="x" |
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| 145 | self.prevYtrans ="y" |
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[6ed101a] | 146 | self.canvas.mpl_connect('scroll_event',self.onWheel) |
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[47f695c9] | 147 | self.axes = [self.subplot] |
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[bbec827] | 148 | # new data for the fit |
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| 149 | self.fit_result = Theory1D(x=[], y=[], dy=None) |
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| 150 | #self.fit_result = Data1D(x=[], y=[],dx=None, dy=None) |
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| 151 | self.fit_result.name = "Fit" |
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[b43a009] | 152 | # For fit Dialog initial display |
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[ddff053] | 153 | self.xmin=0.0 |
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| 154 | self.xmax=0.0 |
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| 155 | self.xminView=0.0 |
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| 156 | self.xmaxView=0.0 |
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[b43a009] | 157 | self.Avalue=None |
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| 158 | self.Bvalue=None |
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| 159 | self.ErrAvalue=None |
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| 160 | self.ErrBvalue=None |
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| 161 | self.Chivalue=None |
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[052a66bc] | 162 | |
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[b43a009] | 163 | def resetFitView(self): |
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[edce46e] | 164 | """ |
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| 165 | For fit Dialog initial display |
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| 166 | """ |
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[b43a009] | 167 | self.xmin=0.0 |
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| 168 | self.xmax=0.0 |
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| 169 | self.xminView=0.0 |
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| 170 | self.xmaxView=0.0 |
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| 171 | self.Avalue=None |
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| 172 | self.Bvalue=None |
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| 173 | self.ErrAvalue=None |
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| 174 | self.ErrBvalue=None |
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| 175 | self.Chivalue=None |
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[05da1f89] | 176 | |
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[6ed101a] | 177 | def onWheel(self, event): |
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| 178 | """ |
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[05da1f89] | 179 | Process mouse wheel as zoom events |
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| 180 | @param event: Wheel event |
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[6ed101a] | 181 | """ |
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| 182 | ax = event.inaxes |
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| 183 | step = event.step |
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| 184 | |
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| 185 | if ax != None: |
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| 186 | # Event occurred inside a plotting area |
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| 187 | lo,hi = ax.get_xlim() |
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[05da1f89] | 188 | lo,hi = _rescale(lo,hi,step,pt=event.xdata,scale=ax.get_xscale()) |
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| 189 | if not self.xscale=='log' or lo>0: |
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| 190 | ax.set_xlim((lo,hi)) |
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[6ed101a] | 191 | |
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| 192 | lo,hi = ax.get_ylim() |
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[05da1f89] | 193 | lo,hi = _rescale(lo,hi,step,pt=event.ydata,scale=ax.get_yscale()) |
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| 194 | if not self.yscale=='log' or lo>0: |
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| 195 | ax.set_ylim((lo,hi)) |
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[6ed101a] | 196 | else: |
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[47f695c9] | 197 | # Check if zoom happens in the axes |
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[6ed101a] | 198 | xdata,ydata = None,None |
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| 199 | x,y = event.x,event.y |
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[34ae302] | 200 | |
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[6ed101a] | 201 | for ax in self.axes: |
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| 202 | insidex,_ = ax.xaxis.contains(event) |
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| 203 | if insidex: |
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| 204 | xdata,_ = ax.transAxes.inverse_xy_tup((x,y)) |
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| 205 | insidey,_ = ax.yaxis.contains(event) |
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| 206 | if insidey: |
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| 207 | _,ydata = ax.transAxes.inverse_xy_tup((x,y)) |
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| 208 | if xdata is not None: |
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| 209 | lo,hi = ax.get_xlim() |
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[34ae302] | 210 | lo,hi = _rescale(lo,hi,step,bal=xdata,scale=ax.get_xscale()) |
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[05da1f89] | 211 | if not self.xscale=='log' or lo>0: |
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| 212 | ax.set_xlim((lo,hi)) |
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[6ed101a] | 213 | if ydata is not None: |
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| 214 | lo,hi = ax.get_ylim() |
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[34ae302] | 215 | lo,hi = _rescale(lo,hi,step,bal=ydata,scale=ax.get_yscale()) |
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[05da1f89] | 216 | if not self.yscale=='log' or lo>0: |
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| 217 | ax.set_ylim((lo,hi)) |
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[150c04a] | 218 | |
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[6ed101a] | 219 | self.canvas.draw_idle() |
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| 220 | |
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| 221 | |
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[f52bea1] | 222 | def returnTrans(self): |
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[edce46e] | 223 | """ |
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| 224 | Return values and labels used by Fit Dialog |
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| 225 | """ |
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[b43a009] | 226 | return self.xLabel,self.yLabel, self.Avalue, self.Bvalue,\ |
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[edce46e] | 227 | self.ErrAvalue,self.ErrBvalue,self.Chivalue |
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[dfca3de] | 228 | |
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[e2914b1] | 229 | def setTrans(self,xtrans,ytrans): |
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| 230 | """ |
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| 231 | @param xtrans: set x transformation on Property dialog |
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| 232 | @param ytrans: set y transformation on Property dialog |
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| 233 | """ |
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| 234 | self.prevXtrans =xtrans |
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| 235 | self.prevYtrans =ytrans |
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[dfca3de] | 236 | |
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[52b1f77] | 237 | def onFitting(self, event): |
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[e2914b1] | 238 | """ |
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| 239 | when clicking on linear Fit on context menu , display Fitting Dialog |
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| 240 | """ |
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[52b1f77] | 241 | list =[] |
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| 242 | list = self.graph.returnPlottable() |
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| 243 | from fitDialog import LinearFit |
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[7a03e65] | 244 | |
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[52b1f77] | 245 | if len(list.keys())>0: |
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| 246 | first_item = list.keys()[0] |
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[05da1f89] | 247 | dlg = LinearFit( None, first_item, self.onFitDisplay,self.returnTrans, -1, 'Linear Fit') |
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[b43a009] | 248 | |
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[ddff053] | 249 | if (self.xmin !=0.0 )and ( self.xmax !=0.0)\ |
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| 250 | and(self.xminView !=0.0 )and ( self.xmaxView !=0.0): |
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| 251 | dlg.setFitRange(self.xminView,self.xmaxView,self.xmin,self.xmax) |
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[52b1f77] | 252 | dlg.ShowModal() |
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| 253 | |
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[052a66bc] | 254 | def linear_plottable_fit(self, plot): |
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| 255 | """ |
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| 256 | when clicking on linear Fit on context menu , display Fitting Dialog |
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| 257 | """ |
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| 258 | from fitDialog import LinearFit |
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| 259 | |
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| 260 | dlg = LinearFit( None, plot, self.onFitDisplay,self.returnTrans, -1, 'Linear Fit') |
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| 261 | |
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| 262 | if (self.xmin !=0.0 )and ( self.xmax !=0.0)\ |
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| 263 | and(self.xminView !=0.0 )and ( self.xmaxView !=0.0): |
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| 264 | dlg.setFitRange(self.xminView,self.xmaxView,self.xmin,self.xmax) |
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| 265 | dlg.ShowModal() |
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| 266 | |
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[52b1f77] | 267 | def _onProperties(self, event): |
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[e2914b1] | 268 | """ |
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| 269 | when clicking on Properties on context menu ,The Property dialog is displayed |
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| 270 | The user selects a transformation for x or y value and a new plot is displayed |
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| 271 | """ |
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[34ae302] | 272 | list =[] |
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| 273 | list = self.graph.returnPlottable() |
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| 274 | if len(list.keys())>0: |
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| 275 | first_item = list.keys()[0] |
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| 276 | if first_item.x !=[]: |
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| 277 | from PropertyDialog import Properties |
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| 278 | dial = Properties(self, -1, 'Properties') |
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| 279 | dial.setValues( self.prevXtrans, self.prevYtrans,self.viewModel ) |
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| 280 | if dial.ShowModal() == wx.ID_OK: |
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[b43a009] | 281 | self.xLabel, self.yLabel,self.viewModel = dial.getValues() |
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[34ae302] | 282 | if self.viewModel =="Guinier lny vs x^(2)": |
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[b43a009] | 283 | self.xLabel="x^(2)" |
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| 284 | self.yLabel="ln(y)" |
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[34ae302] | 285 | self.viewModel = "--" |
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[b43a009] | 286 | dial.setValues( self.xLabel, self.yLabel,self.viewModel ) |
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[34ae302] | 287 | self._onEVT_FUNC_PROPERTY() |
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| 288 | dial.Destroy() |
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| 289 | |
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[831149e] | 290 | |
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[2bf92f2] | 291 | def set_yscale(self, scale='linear'): |
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[e2914b1] | 292 | """ |
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| 293 | Set the scale on Y-axis |
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| 294 | @param scale: the scale of y-axis |
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| 295 | """ |
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[2bf92f2] | 296 | self.subplot.set_yscale(scale) |
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| 297 | self.yscale = scale |
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| 298 | |
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| 299 | def get_yscale(self): |
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[e2914b1] | 300 | """ |
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| 301 | @return: Y-axis scale |
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| 302 | """ |
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[2bf92f2] | 303 | return self.yscale |
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[52b1f77] | 304 | |
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| 305 | def set_xscale(self, scale='linear'): |
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[e2914b1] | 306 | """ |
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| 307 | Set the scale on x-axis |
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| 308 | @param scale: the scale of x-axis |
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| 309 | """ |
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[52b1f77] | 310 | self.subplot.set_xscale(scale) |
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| 311 | self.xscale = scale |
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[e2914b1] | 312 | |
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[52b1f77] | 313 | def get_xscale(self): |
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[e2914b1] | 314 | """ |
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| 315 | @return: x-axis scale |
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| 316 | """ |
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[52b1f77] | 317 | return self.xscale |
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[2bf92f2] | 318 | |
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| 319 | def SetColor(self, rgbtuple): |
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| 320 | """Set figure and canvas colours to be the same""" |
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| 321 | if not rgbtuple: |
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| 322 | rgbtuple = wx.SystemSettings.GetColour(wx.SYS_COLOUR_BTNFACE).Get() |
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| 323 | col = [c/255.0 for c in rgbtuple] |
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| 324 | self.figure.set_facecolor(col) |
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| 325 | self.figure.set_edgecolor(col) |
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| 326 | self.canvas.SetBackgroundColour(wx.Colour(*rgbtuple)) |
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| 327 | |
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| 328 | def _onSize(self, event): |
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| 329 | self._resizeflag = True |
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| 330 | |
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| 331 | def _onIdle(self, evt): |
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| 332 | if self._resizeflag: |
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| 333 | self._resizeflag = False |
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| 334 | self._SetSize() |
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| 335 | self.draw() |
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| 336 | |
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| 337 | def _SetSize(self, pixels = None): |
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| 338 | """ |
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| 339 | This method can be called to force the Plot to be a desired size, which defaults to |
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| 340 | the ClientSize of the panel |
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| 341 | """ |
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| 342 | if not pixels: |
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| 343 | pixels = self.GetClientSize() |
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| 344 | self.canvas.SetSize(pixels) |
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| 345 | self.figure.set_size_inches(pixels[0]/self.figure.get_dpi(), |
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| 346 | pixels[1]/self.figure.get_dpi()) |
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| 347 | |
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| 348 | def draw(self): |
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| 349 | """Where the actual drawing happens""" |
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| 350 | self.figure.canvas.draw_idle() |
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| 351 | |
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| 352 | |
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[f193585] | 353 | |
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[47f695c9] | 354 | |
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[f193585] | 355 | |
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[2bf92f2] | 356 | def onSaveImage(self, evt): |
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| 357 | #figure.savefig |
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[7a03e65] | 358 | #print "Save image not implemented" |
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[2bf92f2] | 359 | path = None |
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| 360 | dlg = wx.FileDialog(self, "Choose a file", os.getcwd(), "", "*.png", wx.SAVE) |
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| 361 | if dlg.ShowModal() == wx.ID_OK: |
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| 362 | path = dlg.GetPath() |
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| 363 | mypath = os.path.basename(path) |
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| 364 | print path |
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| 365 | dlg.Destroy() |
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| 366 | if not path == None: |
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| 367 | self.subplot.figure.savefig(path,dpi=300, facecolor='w', edgecolor='w', |
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| 368 | orentation='portrait', papertype=None, format='png') |
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| 369 | |
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| 370 | def onContextMenu(self, event): |
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| 371 | """ |
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| 372 | Default context menu for a plot panel |
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| 373 | """ |
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| 374 | # Slicer plot popup menu |
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[052a66bc] | 375 | id = wx.NewId() |
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[2bf92f2] | 376 | slicerpop = wx.Menu() |
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[052a66bc] | 377 | slicerpop.Append(id,'&Save image', 'Save image as PNG') |
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| 378 | wx.EVT_MENU(self, id, self.onSaveImage) |
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[bceddd6] | 379 | |
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[052a66bc] | 380 | id = wx.NewId() |
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| 381 | slicerpop.Append(id, '&Load 1D data file') |
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| 382 | wx.EVT_MENU(self, id, self._onLoad1DData) |
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[bceddd6] | 383 | |
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[052a66bc] | 384 | id = wx.NewId() |
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[52b1f77] | 385 | slicerpop.AppendSeparator() |
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[052a66bc] | 386 | slicerpop.Append(id, '&Properties') |
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| 387 | wx.EVT_MENU(self, id, self._onProperties) |
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[52b1f77] | 388 | |
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[052a66bc] | 389 | id = wx.NewId() |
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[52b1f77] | 390 | slicerpop.AppendSeparator() |
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[052a66bc] | 391 | slicerpop.Append(id, '&Linear Fit') |
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| 392 | wx.EVT_MENU(self, id, self.onFitting) |
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[34ae302] | 393 | |
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[052a66bc] | 394 | id = wx.NewId() |
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[34ae302] | 395 | slicerpop.AppendSeparator() |
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[052a66bc] | 396 | slicerpop.Append(id, '&Reset Graph') |
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| 397 | wx.EVT_MENU(self, id, self.onResetGraph) |
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[52b1f77] | 398 | |
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[2bf92f2] | 399 | pos = event.GetPosition() |
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| 400 | pos = self.ScreenToClient(pos) |
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| 401 | self.PopupMenu(slicerpop, pos) |
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| 402 | |
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| 403 | ## The following is plottable functionality |
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| 404 | |
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| 405 | |
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| 406 | def properties(self,prop): |
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| 407 | """Set some properties of the graph. |
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| 408 | |
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| 409 | The set of properties is not yet determined. |
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| 410 | """ |
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| 411 | # The particulars of how they are stored and manipulated (e.g., do |
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| 412 | # we want an inventory internally) is not settled. I've used a |
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| 413 | # property dictionary for now. |
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| 414 | # |
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| 415 | # How these properties interact with a user defined style file is |
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| 416 | # even less clear. |
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| 417 | |
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| 418 | # Properties defined by plot |
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| 419 | self.subplot.set_xlabel(r"$%s$" % prop["xlabel"]) |
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| 420 | self.subplot.set_ylabel(r"$%s$" % prop["ylabel"]) |
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| 421 | self.subplot.set_title(prop["title"]) |
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| 422 | |
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| 423 | # Properties defined by user |
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| 424 | #self.axes.grid(True) |
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| 425 | |
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| 426 | def clear(self): |
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| 427 | """Reset the plot""" |
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| 428 | |
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| 429 | # TODO: Redraw is brutal. Render to a backing store and swap in |
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| 430 | # TODO: rather than redrawing on the fly. |
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| 431 | self.subplot.clear() |
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| 432 | self.subplot.hold(True) |
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[6ed101a] | 433 | |
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[2bf92f2] | 434 | def render(self): |
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| 435 | """Commit the plot after all objects are drawn""" |
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| 436 | # TODO: this is when the backing store should be swapped in. |
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| 437 | from matplotlib.font_manager import FontProperties |
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| 438 | self.subplot.legend(prop=FontProperties(size=10)) |
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| 439 | #self.subplot.legend() |
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| 440 | pass |
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| 441 | |
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| 442 | def xaxis(self,label,units): |
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| 443 | """xaxis label and units. |
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| 444 | |
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| 445 | Axis labels know about units. |
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| 446 | |
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| 447 | We need to do this so that we can detect when axes are not |
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| 448 | commesurate. Currently this is ignored other than for formatting |
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| 449 | purposes. |
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| 450 | """ |
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| 451 | if units != "": label = label + " (" + units + ")" |
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| 452 | self.subplot.set_xlabel(label) |
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| 453 | pass |
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| 454 | |
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| 455 | def yaxis(self,label,units): |
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| 456 | """yaxis label and units.""" |
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| 457 | if units != "": label = label + " (" + units + ")" |
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| 458 | self.subplot.set_ylabel(label) |
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| 459 | pass |
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| 460 | |
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| 461 | def _connect_to_xlim(self,callback): |
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| 462 | """Bind the xlim change notification to the callback""" |
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| 463 | def process_xlim(axes): |
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| 464 | lo,hi = subplot.get_xlim() |
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| 465 | callback(lo,hi) |
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| 466 | self.subplot.callbacks.connect('xlim_changed',process_xlim) |
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| 467 | |
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| 468 | #def connect(self,trigger,callback): |
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| 469 | # print "PlotPanel.connect???" |
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| 470 | # if trigger == 'xlim': self._connect_to_xlim(callback) |
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| 471 | |
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| 472 | def points(self,x,y,dx=None,dy=None,color=0,symbol=0,label=None): |
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| 473 | """Draw markers with error bars""" |
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| 474 | self.subplot.set_yscale('linear') |
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[52b1f77] | 475 | self.subplot.set_xscale('linear') |
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[052a66bc] | 476 | |
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[2bf92f2] | 477 | # Convert tuple (lo,hi) to array [(x-lo),(hi-x)] |
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| 478 | if dx != None and type(dx) == type(()): |
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| 479 | dx = nx.vstack((x-dx[0],dx[1]-x)).transpose() |
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| 480 | if dy != None and type(dy) == type(()): |
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| 481 | dy = nx.vstack((y-dy[0],dy[1]-y)).transpose() |
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| 482 | |
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| 483 | if dx==None and dy==None: |
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| 484 | h = self.subplot.plot(x,y,color=self._color(color), |
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| 485 | marker=self._symbol(symbol),linestyle='',label=label) |
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| 486 | else: |
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[052a66bc] | 487 | col = self._color(color) |
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[2bf92f2] | 488 | self.subplot.errorbar(x, y, yerr=dy, xerr=None, |
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[052a66bc] | 489 | ecolor=col, capsize=2,linestyle='', barsabove=False, |
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| 490 | mec=col, mfc=col, |
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[2bf92f2] | 491 | marker=self._symbol(symbol), |
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| 492 | lolims=False, uplims=False, |
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[52b1f77] | 493 | xlolims=False, xuplims=False,label=label) |
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[2bf92f2] | 494 | |
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| 495 | self.subplot.set_yscale(self.yscale) |
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[52b1f77] | 496 | self.subplot.set_xscale(self.xscale) |
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[2bf92f2] | 497 | |
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| 498 | def curve(self,x,y,dy=None,color=0,symbol=0,label=None): |
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| 499 | """Draw a line on a graph, possibly with confidence intervals.""" |
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| 500 | c = self._color(color) |
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| 501 | self.subplot.set_yscale('linear') |
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[52b1f77] | 502 | self.subplot.set_xscale('linear') |
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[2bf92f2] | 503 | |
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| 504 | hlist = self.subplot.plot(x,y,color=c,marker='',linestyle='-',label=label) |
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| 505 | |
---|
| 506 | self.subplot.set_yscale(self.yscale) |
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[52b1f77] | 507 | self.subplot.set_xscale(self.xscale) |
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[2bf92f2] | 508 | |
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| 509 | def _color(self,c): |
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| 510 | """Return a particular colour""" |
---|
| 511 | return self.colorlist[c%len(self.colorlist)] |
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| 512 | |
---|
| 513 | def _symbol(self,s): |
---|
| 514 | """Return a particular symbol""" |
---|
| 515 | return self.symbollist[s%len(self.symbollist)] |
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[52b1f77] | 516 | |
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[052a66bc] | 517 | def _replot(self): |
---|
| 518 | """ |
---|
| 519 | Rescale the plottables according to the latest |
---|
| 520 | user selection and update the plot |
---|
| 521 | """ |
---|
| 522 | self.graph.reset_scale() |
---|
| 523 | self._onEVT_FUNC_PROPERTY(remove_fit=False) |
---|
| 524 | |
---|
| 525 | #TODO: Why do we have to have the following line? |
---|
| 526 | self.fit_result.reset_view() |
---|
| 527 | |
---|
| 528 | self.graph.render(self) |
---|
| 529 | self.subplot.figure.canvas.draw_idle() |
---|
| 530 | |
---|
| 531 | def _onEVT_FUNC_PROPERTY(self, remove_fit=True): |
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[52b1f77] | 532 | """ |
---|
[8cebf9b] | 533 | Receive the x and y transformation from myDialog,Transforms x and y in View |
---|
| 534 | and set the scale |
---|
[52b1f77] | 535 | """ |
---|
| 536 | list =[] |
---|
| 537 | list = self.graph.returnPlottable() |
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[052a66bc] | 538 | |
---|
| 539 | if remove_fit: |
---|
| 540 | self.fit_result.x =[] |
---|
| 541 | self.fit_result.y =[] |
---|
| 542 | self.fit_result.dx=None |
---|
| 543 | self.fit_result.dy=None |
---|
| 544 | self.graph.delete(self.fit_result) |
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[f193585] | 545 | |
---|
[52b1f77] | 546 | for item in list: |
---|
[b43a009] | 547 | item.setLabel(self.xLabel,self.yLabel) |
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| 548 | if ( self.xLabel=="x" ): |
---|
| 549 | item.transformX(transform.toX,transform.errToX) |
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[52b1f77] | 550 | self.set_xscale("linear") |
---|
[f52bea1] | 551 | name, units = item.get_xaxis() |
---|
[b6972a0f] | 552 | self.graph.xaxis("%s" % name, "%s" % units) |
---|
| 553 | |
---|
[52b1f77] | 554 | |
---|
[b43a009] | 555 | if ( self.xLabel=="x^(2)" ): |
---|
| 556 | item.transformX(transform.toX2,transform.errToX2) |
---|
[52b1f77] | 557 | self.set_xscale('linear') |
---|
[f52bea1] | 558 | name, units = item.get_xaxis() |
---|
[b6972a0f] | 559 | units=convertUnit(2,units) |
---|
| 560 | self.graph.xaxis("%s^{2}" % name, "%s" % units) |
---|
| 561 | |
---|
[52b1f77] | 562 | |
---|
[b43a009] | 563 | if (self.xLabel=="log10(x)" ): |
---|
| 564 | item.transformX(transform.toX,transform.errToX) |
---|
[8cebf9b] | 565 | self.set_xscale("log") |
---|
[f193585] | 566 | name, units = item.get_xaxis() |
---|
[b6972a0f] | 567 | self.graph.xaxis("\log_{10}\ \ (%s)" % name, "%s" % units) |
---|
| 568 | |
---|
[52b1f77] | 569 | |
---|
[b43a009] | 570 | if ( self.yLabel=="ln(y)" ): |
---|
| 571 | item.transformY(transform.toLogX,transform.errToLogX) |
---|
[831149e] | 572 | self.set_yscale("linear") |
---|
| 573 | name, units = item.get_yaxis() |
---|
[b6972a0f] | 574 | self.graph.yaxis("log\ \ %s" % name, "%s" % units) |
---|
| 575 | |
---|
[831149e] | 576 | |
---|
[b43a009] | 577 | if ( self.yLabel=="y" ): |
---|
| 578 | item.transformY(transform.toX,transform.errToX) |
---|
[52b1f77] | 579 | self.set_yscale("linear") |
---|
[f52bea1] | 580 | name, units = item.get_yaxis() |
---|
[b6972a0f] | 581 | self.graph.yaxis("%s" % name, "%s" % units) |
---|
| 582 | |
---|
[52b1f77] | 583 | |
---|
[b43a009] | 584 | if ( self.yLabel=="log10(y)" ): |
---|
| 585 | item.transformY(transform.toX,transform.errToX) |
---|
[52b1f77] | 586 | self.set_yscale("log") |
---|
[f52bea1] | 587 | name, units = item.get_yaxis() |
---|
[b6972a0f] | 588 | self.graph.yaxis("\log_{10}\ \ (%s)" % name, "%s" % units) |
---|
| 589 | |
---|
[52b1f77] | 590 | |
---|
[b43a009] | 591 | if ( self.yLabel=="y^(2)" ): |
---|
| 592 | item.transformY( transform.toX2,transform.errToX2 ) |
---|
[52b1f77] | 593 | self.set_yscale("linear") |
---|
[f52bea1] | 594 | name, units = item.get_yaxis() |
---|
[b6972a0f] | 595 | units=convertUnit(2,units) |
---|
| 596 | self.graph.yaxis("%s^{2}" % name, "%s" % units) |
---|
| 597 | |
---|
[35891ce] | 598 | |
---|
[b43a009] | 599 | if ( self.yLabel =="1/y"): |
---|
| 600 | item.transformY(transform.toOneOverX,transform.errOneOverX ) |
---|
[3d3a0e5] | 601 | self.set_yscale("linear") |
---|
| 602 | name, units = item.get_yaxis() |
---|
[b6972a0f] | 603 | units=convertUnit(-1,units) |
---|
| 604 | self.graph.yaxis("1/%s" % name, "%s" % units) |
---|
[35891ce] | 605 | |
---|
[b43a009] | 606 | if ( self.yLabel =="1/sqrt(y)" ): |
---|
| 607 | item.transformY(transform.toOneOverSqrtX,transform.errOneOverSqrtX ) |
---|
[3d3a0e5] | 608 | self.set_yscale("linear") |
---|
| 609 | name, units = item.get_yaxis() |
---|
[43bf807] | 610 | units=convertUnit(-0.5,units) |
---|
[05da1f89] | 611 | self.graph.yaxis("1/\sqrt{%s}" %name, "%s" % units) |
---|
[7a03e65] | 612 | |
---|
[b43a009] | 613 | if ( self.yLabel =="ln(y*x)"): |
---|
| 614 | item.transformY( transform.toLogXY,transform.errToLogXY) |
---|
[7a03e65] | 615 | self.set_yscale("linear") |
---|
[3d3a0e5] | 616 | yname, yunits = item.get_yaxis() |
---|
| 617 | xname, xunits = item.get_xaxis() |
---|
[b6972a0f] | 618 | self.graph.yaxis("log\ (%s \ \ %s)" % (yname,xname), "%s%s" % (yunits,xunits)) |
---|
| 619 | |
---|
[831149e] | 620 | |
---|
[b43a009] | 621 | if ( self.yLabel =="ln(y*x^(2))"): |
---|
| 622 | item.transformY( transform.toLogYX2,transform.errToLogYX2) |
---|
[7a03e65] | 623 | self.set_yscale("linear") |
---|
[3d3a0e5] | 624 | yname, yunits = item.get_yaxis() |
---|
[47f695c9] | 625 | xname, xunits = item.get_xaxis() |
---|
[b6972a0f] | 626 | xunits = convertUnit(2,xunits) |
---|
[43bf807] | 627 | self.graph.yaxis("Log (%s \ \ %s^{2})" % (yname,xname), "%s%s" % (yunits,xunits)) |
---|
[b6972a0f] | 628 | |
---|
[831149e] | 629 | |
---|
[b43a009] | 630 | if ( self.yLabel =="ln(y*x^(4))"): |
---|
| 631 | item.transformY(transform.toLogYX4,transform.errToLogYX4) |
---|
[831149e] | 632 | self.set_yscale("linear") |
---|
| 633 | yname, yunits = item.get_yaxis() |
---|
| 634 | xname, xunits = item.get_xaxis() |
---|
[b6972a0f] | 635 | xunits = convertUnit(4,xunits) |
---|
[43bf807] | 636 | self.graph.yaxis("Log (%s \ \ %s^{4})" % (yname,xname), "%s%s" % (yunits,xunits)) |
---|
[b6972a0f] | 637 | |
---|
[dfca3de] | 638 | if ( self.viewModel == "Guinier lny vs x^(2)"): |
---|
[b43a009] | 639 | |
---|
| 640 | item.transformX(transform.toX2,transform.errToX2) |
---|
[dfca3de] | 641 | self.set_xscale('linear') |
---|
| 642 | name, units = item.get_xaxis() |
---|
[b6972a0f] | 643 | units = convertUnit(2,units) |
---|
| 644 | self.graph.xaxis("%s^{2}" % name, "%s" % units) |
---|
| 645 | |
---|
[b43a009] | 646 | |
---|
| 647 | item.transformY(transform.toLogX,transform.errToLogX ) |
---|
[dfca3de] | 648 | self.set_yscale("linear") |
---|
| 649 | name, units = item.get_yaxis() |
---|
[b6972a0f] | 650 | self.graph.yaxis("$Log %s$" % name, "%s" % units) |
---|
| 651 | |
---|
[b43a009] | 652 | |
---|
[bbec827] | 653 | item.transformView() |
---|
[b43a009] | 654 | |
---|
[b6972a0f] | 655 | |
---|
[71c64d6] | 656 | self.resetFitView() |
---|
[b43a009] | 657 | self.prevXtrans = self.xLabel |
---|
| 658 | self.prevYtrans = self.yLabel |
---|
[52b1f77] | 659 | self.graph.render(self) |
---|
| 660 | self.subplot.figure.canvas.draw_idle() |
---|
[46693050] | 661 | |
---|
[b6972a0f] | 662 | |
---|
| 663 | |
---|
[b43a009] | 664 | def onFitDisplay(self, tempx,tempy,xminView,xmaxView,xmin,xmax,func): |
---|
[e2914b1] | 665 | """ |
---|
| 666 | Add a new plottable into the graph .In this case this plottable will be used |
---|
| 667 | to fit some data |
---|
[edce46e] | 668 | @param tempx: The x data of fit line |
---|
| 669 | @param tempy: The y data of fit line |
---|
| 670 | @param xminView: the lower bound of fitting range |
---|
| 671 | @param xminView: the upper bound of fitting range |
---|
| 672 | @param xmin: the lowest value of data to fit to the line |
---|
| 673 | @param xmax: the highest value of data to fit to the line |
---|
[e2914b1] | 674 | """ |
---|
[edce46e] | 675 | # Saving value to redisplay in Fit Dialog when it is opened again |
---|
[b43a009] | 676 | self.Avalue,self.Bvalue,self.ErrAvalue,self.ErrBvalue,self.Chivalue=func |
---|
[edce46e] | 677 | self.xminView=xminView |
---|
| 678 | self.xmaxView=xmaxView |
---|
| 679 | self.xmin= xmin |
---|
| 680 | self.xmax= xmax |
---|
| 681 | #In case need to change the range of data plotted |
---|
[34ae302] | 682 | list =[] |
---|
| 683 | list = self.graph.returnPlottable() |
---|
| 684 | for item in list: |
---|
[150c04a] | 685 | #item.onFitRange(xminView,xmaxView) |
---|
| 686 | item.onFitRange(None,None) |
---|
[edce46e] | 687 | |
---|
[bbec827] | 688 | # Create new data plottable with result |
---|
| 689 | self.fit_result.x =[] |
---|
| 690 | self.fit_result.y =[] |
---|
| 691 | self.fit_result.x =tempx |
---|
| 692 | self.fit_result.y =tempy |
---|
| 693 | self.fit_result.dx=None |
---|
| 694 | self.fit_result.dy=None |
---|
| 695 | #Load the view with the new values |
---|
[edce46e] | 696 | self.fit_result.reset_view() |
---|
| 697 | # Add the new plottable to the graph |
---|
[bbec827] | 698 | self.graph.add(self.fit_result) |
---|
| 699 | self.graph.render(self) |
---|
[52b1f77] | 700 | self.subplot.figure.canvas.draw_idle() |
---|
[edce46e] | 701 | |
---|
[f193585] | 702 | |
---|
[34ae302] | 703 | def onResetGraph(self,event): |
---|
[edce46e] | 704 | """ |
---|
| 705 | Reset the graph by plotting the full range of data |
---|
| 706 | """ |
---|
[34ae302] | 707 | list =[] |
---|
| 708 | list = self.graph.returnPlottable() |
---|
| 709 | for item in list: |
---|
| 710 | item.onReset() |
---|
| 711 | self.graph.render(self) |
---|
| 712 | self.subplot.figure.canvas.draw_idle() |
---|
[f193585] | 713 | |
---|
[2bf92f2] | 714 | class NoRepaintCanvas(FigureCanvasWxAgg): |
---|
| 715 | """We subclass FigureCanvasWxAgg, overriding the _onPaint method, so that |
---|
| 716 | the draw method is only called for the first two paint events. After that, |
---|
| 717 | the canvas will only be redrawn when it is resized. |
---|
| 718 | """ |
---|
| 719 | def __init__(self, *args, **kwargs): |
---|
| 720 | FigureCanvasWxAgg.__init__(self, *args, **kwargs) |
---|
| 721 | self._drawn = 0 |
---|
| 722 | |
---|
| 723 | def _onPaint(self, evt): |
---|
| 724 | """ |
---|
| 725 | Called when wxPaintEvt is generated |
---|
| 726 | """ |
---|
| 727 | if not self._isRealized: |
---|
| 728 | self.realize() |
---|
| 729 | if self._drawn < 2: |
---|
| 730 | self.draw(repaint = False) |
---|
| 731 | self._drawn += 1 |
---|
| 732 | self.gui_repaint(drawDC=wx.PaintDC(self)) |
---|
| 733 | |
---|