[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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[df25521] | 15 | |
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| 16 | #from matplotlib.backend_bases import MouseEvent |
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[bbec827] | 17 | #from plottables import Data1D |
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[2bf92f2] | 18 | #TODO: make the plottables interactive |
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| 19 | |
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[05da1f89] | 20 | DEBUG = False |
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[df25521] | 21 | print "hello" |
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[05da1f89] | 22 | |
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[52b1f77] | 23 | from plottables import Graph |
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| 24 | #(FuncFitEvent, EVT_FUNC_FIT) = wx.lib.newevent.NewEvent() |
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[b6972a0f] | 25 | import math,pylab,re |
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| 26 | |
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[2bf92f2] | 27 | def show_tree(obj,d=0): |
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| 28 | """Handy function for displaying a tree of graph objects""" |
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| 29 | print "%s%s" % ("-"*d,obj.__class__.__name__) |
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| 30 | if 'get_children' in dir(obj): |
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| 31 | for a in obj.get_children(): show_tree(a,d+1) |
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[43bf807] | 32 | |
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| 33 | from unitConverter import UnitConvertion as convertUnit |
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| 34 | def _convertUnit(pow,unit): |
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[b6972a0f] | 35 | """ |
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| 36 | Displays the unit with the proper convertion |
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| 37 | @param pow: the user set the power of the unit |
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| 38 | @param unit: the unit of the data |
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| 39 | """ |
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[052a66bc] | 40 | return unit |
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[b6972a0f] | 41 | toks=re.match("^", unit) |
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| 42 | if not toks==None: |
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| 43 | unitValue= re.split("{",unit) |
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| 44 | unitPower= re.split("}",unitValue[1]) |
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| 45 | power= int(unitPower[0])*pow |
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| 46 | word= unitValue[0]+"{"+str(power)+"}" |
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| 47 | if power==1: |
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| 48 | tempUnit=re.split("\^",unitValue[0]) |
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| 49 | unit=tempUnit[0] |
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| 50 | else: |
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| 51 | unit = word |
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| 52 | #print"this is unit",unit |
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| 53 | return unit |
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[47f695c9] | 54 | def _rescale(lo,hi,step,pt=None,bal=None,scale='linear'): |
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| 55 | """ |
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| 56 | Rescale (lo,hi) by step, returning the new (lo,hi) |
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| 57 | The scaling is centered on pt, with positive values of step |
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| 58 | driving lo/hi away from pt and negative values pulling them in. |
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| 59 | If bal is given instead of point, it is already in [0,1] coordinates. |
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| 60 | |
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| 61 | This is a helper function for step-based zooming. |
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| 62 | """ |
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| 63 | # Convert values into the correct scale for a linear transformation |
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| 64 | # TODO: use proper scale transformers |
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[150c04a] | 65 | loprev = lo |
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| 66 | hiprev = hi |
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| 67 | ptprev = pt |
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[47f695c9] | 68 | if scale=='log': |
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[34ab06d] | 69 | assert lo >0 |
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[150c04a] | 70 | if lo > 0 : |
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| 71 | lo = math.log10(lo) |
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| 72 | if hi > 0 : |
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| 73 | hi = math.log10(hi) |
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[34ae302] | 74 | if pt is not None: pt = math.log10(pt) |
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[150c04a] | 75 | |
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[47f695c9] | 76 | # Compute delta from axis range * %, or 1-% if persent is negative |
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| 77 | if step > 0: |
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| 78 | delta = float(hi-lo)*step/100 |
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| 79 | else: |
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| 80 | delta = float(hi-lo)*step/(100-step) |
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| 81 | |
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| 82 | # Add scale factor proportionally to the lo and hi values, preserving the |
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| 83 | # point under the mouse |
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| 84 | if bal is None: |
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| 85 | bal = float(pt-lo)/(hi-lo) |
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| 86 | lo = lo - bal*delta |
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| 87 | hi = hi + (1-bal)*delta |
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| 88 | |
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| 89 | # Convert transformed values back to the original scale |
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| 90 | if scale=='log': |
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[34ab06d] | 91 | if (lo <= -250) or (hi >= 250): |
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[150c04a] | 92 | lo=loprev |
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| 93 | hi=hiprev |
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| 94 | print "Not possible to scale" |
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[34ab06d] | 95 | |
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[150c04a] | 96 | else: |
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| 97 | lo,hi = math.pow(10.,lo),math.pow(10.,hi) |
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| 98 | #assert lo >0,"lo = %g"%lo |
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| 99 | print "possible to scale" |
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| 100 | |
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[34ab06d] | 101 | print "these are low and high",lo,hi |
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[150c04a] | 102 | |
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[47f695c9] | 103 | return (lo,hi) |
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[2bf92f2] | 104 | |
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| 105 | |
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| 106 | class PlotPanel(wx.Panel): |
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| 107 | """ |
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| 108 | The PlotPanel has a Figure and a Canvas. OnSize events simply set a |
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| 109 | flag, and the actually redrawing of the |
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| 110 | figure is triggered by an Idle event. |
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| 111 | """ |
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| 112 | def __init__(self, parent, id = -1, color = None,\ |
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| 113 | dpi = None, **kwargs): |
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| 114 | wx.Panel.__init__(self, parent, id = id, **kwargs) |
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[52b1f77] | 115 | self.parent = parent |
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[2bf92f2] | 116 | self.figure = Figure(None, dpi) |
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| 117 | #self.figure = pylab.Figure(None, dpi) |
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| 118 | #self.canvas = NoRepaintCanvas(self, -1, self.figure) |
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| 119 | self.canvas = FigureCanvas(self, -1, self.figure) |
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| 120 | self.SetColor(color) |
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| 121 | #self.Bind(wx.EVT_IDLE, self._onIdle) |
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| 122 | #self.Bind(wx.EVT_SIZE, self._onSize) |
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| 123 | self._resizeflag = True |
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| 124 | self._SetSize() |
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| 125 | self.subplot = self.figure.add_subplot(111) |
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| 126 | self.figure.subplots_adjust(left=.2, bottom=.2) |
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| 127 | self.yscale = 'linear' |
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[52b1f77] | 128 | self.xscale = 'linear' |
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[2bf92f2] | 129 | sizer = wx.BoxSizer(wx.VERTICAL) |
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| 130 | sizer.Add(self.canvas,1,wx.EXPAND) |
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| 131 | self.SetSizer(sizer) |
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[f193585] | 132 | |
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[057210c] | 133 | # Graph object to manage the plottables |
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| 134 | self.graph = Graph() |
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[52b1f77] | 135 | #self.Bind(EVT_FUNC_FIT, self.onFitRange) |
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[2bf92f2] | 136 | self.Bind(wx.EVT_CONTEXT_MENU, self.onContextMenu) |
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[df25521] | 137 | |
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[52b1f77] | 138 | #self.Bind(EVT_PROPERTY, self._onEVT_FUNC_PROPERTY) |
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[2bf92f2] | 139 | # Define some constants |
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| 140 | self.colorlist = ['b','g','r','c','m','y'] |
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| 141 | self.symbollist = ['o','x','^','v','<','>','+','s','d','D','h','H','p'] |
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[52b1f77] | 142 | #User scale |
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[b43a009] | 143 | self.xLabel ="x" |
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[052a66bc] | 144 | self.yLabel ="y" |
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[dfca3de] | 145 | self.viewModel ="--" |
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[e2914b1] | 146 | # keep track if the previous transformation of x and y in Property dialog |
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[052a66bc] | 147 | self.prevXtrans ="x" |
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| 148 | self.prevYtrans ="y" |
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[6ed101a] | 149 | self.canvas.mpl_connect('scroll_event',self.onWheel) |
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[df25521] | 150 | #taking care of dragging |
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| 151 | self.canvas.mpl_connect('motion_notify_event',self.onMouseMotion) |
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| 152 | self.canvas.mpl_connect('button_press_event',self.onLeftDown) |
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| 153 | self.canvas.mpl_connect('button_release_event',self.onLeftUp) |
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| 154 | #self.canvas.mpl_connect('key_press_event',self.onKeyPress) |
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| 155 | |
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| 156 | self.leftdown=False |
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| 157 | self.leftup=False |
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| 158 | self.mousemotion=False |
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| 159 | |
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| 160 | #self.canvas.Bind(wx.EVT_MOUSE_EVENTS,self.onTest) |
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[47f695c9] | 161 | self.axes = [self.subplot] |
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[bbec827] | 162 | # new data for the fit |
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| 163 | self.fit_result = Theory1D(x=[], y=[], dy=None) |
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| 164 | #self.fit_result = Data1D(x=[], y=[],dx=None, dy=None) |
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| 165 | self.fit_result.name = "Fit" |
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[b43a009] | 166 | # For fit Dialog initial display |
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[ddff053] | 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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[b43a009] | 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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[df25521] | 176 | self.begDrag=False |
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| 177 | #self.begDragI=False |
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| 178 | self.xInit=None |
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| 179 | self.yInit=None |
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| 180 | self.xFinal=None |
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| 181 | self.yFinal=None |
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| 182 | |
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| 183 | def onLeftDown(self,event): |
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| 184 | """ left button down and ready to drag""" |
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| 185 | self.leftdown=True |
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| 186 | ax = event.inaxes |
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| 187 | if ax !=None: |
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| 188 | x,y = event.x,event.y |
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| 189 | self.xInit,self.yInit=ax.transAxes.inverse_xy_tup((x,y)) |
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| 190 | |
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| 191 | def onLeftUp(self,event): |
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| 192 | """ Dragging is done """ |
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| 193 | |
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| 194 | self.leftup=True |
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| 195 | |
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| 196 | if self.mousemotion==True: |
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| 197 | ax = event.inaxes |
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| 198 | if ax !=None: |
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| 199 | x,y = event.x,event.y |
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| 200 | self.xFinal,self.yFinal=ax.transAxes.inverse_xy_tup((x,y)) |
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| 201 | |
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| 202 | #print "this is xFinal %f this is yFinal %f"%(self.xFinal, self.yFinal) |
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| 203 | #print "this is xInit %f this is yInit %f"%(self.xInit, self.yInit) |
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| 204 | #print "this is xdelta %f and ydelta %f"%(xdelta,ydelta) |
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| 205 | xdelta = self.xFinal -self.xInit |
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| 206 | ydelta = self.yFinal -self.yInit |
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[06290c8] | 207 | if self.xscale=='log': |
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| 208 | #xdelta = math.log10(self.xFinal - self.xInit) |
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| 209 | xdelta = math.log10(self.xFinal) -math.log10(self.xInit) |
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| 210 | if self.yscale=='log': |
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| 211 | ydelta = math.log10(self.yFinal) -math.log10(self.yInit) |
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[df25521] | 212 | self.dragHelper(xdelta,ydelta) |
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[06290c8] | 213 | else: |
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| 214 | self.dragHelper(0,0) |
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[df25521] | 215 | def onMouseMotion(self,event): |
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| 216 | if self.leftdown==True: |
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| 217 | self.mousemotion=True |
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| 218 | |
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| 219 | def dragHelper(self,xdelta,ydelta): |
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| 220 | """ dragging occurs here""" |
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| 221 | |
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| 222 | # Event occurred inside a plotting area |
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| 223 | for ax in self.axes: |
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| 224 | lo,hi= ax.get_xlim() |
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| 225 | #print "x lo %f and x hi %f"%(lo,hi) |
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| 226 | newlo,newhi= lo- xdelta, hi- xdelta |
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| 227 | if self.xscale=='log': |
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[06290c8] | 228 | if lo > 0: |
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| 229 | newlo= math.log10(lo)-xdelta |
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| 230 | if hi > 0: |
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| 231 | newhi= math.log10(hi)-xdelta |
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[df25521] | 232 | if self.xscale=='log': |
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| 233 | ax.set_xlim(math.pow(10,newlo),math.pow(10,newhi)) |
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| 234 | else: |
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| 235 | ax.set_xlim(newlo,newhi) |
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| 236 | print "new lo %f and new hi %f"%(newlo,newhi) |
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| 237 | |
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| 238 | lo,hi= ax.get_ylim() |
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| 239 | print "y lo %f and y hi %f"%(lo,hi) |
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| 240 | newlo,newhi= lo- ydelta, hi- ydelta |
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| 241 | if self.yscale=='log': |
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[06290c8] | 242 | if lo > 0: |
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| 243 | newlo= math.log10(lo)-ydelta |
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| 244 | if hi > 0: |
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| 245 | newhi= math.log10(hi)-ydelta |
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| 246 | print "new lo %f and new hi %f"%(newlo,newhi) |
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[df25521] | 247 | if self.yscale=='log': |
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| 248 | ax.set_ylim(math.pow(10,newlo),math.pow(10,newhi)) |
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| 249 | else: |
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| 250 | ax.set_ylim(newlo,newhi) |
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| 251 | self.canvas.draw_idle() |
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| 252 | |
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[052a66bc] | 253 | |
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[df25521] | 254 | |
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[b43a009] | 255 | def resetFitView(self): |
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[edce46e] | 256 | """ |
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| 257 | For fit Dialog initial display |
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| 258 | """ |
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[b43a009] | 259 | self.xmin=0.0 |
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| 260 | self.xmax=0.0 |
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| 261 | self.xminView=0.0 |
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| 262 | self.xmaxView=0.0 |
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| 263 | self.Avalue=None |
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| 264 | self.Bvalue=None |
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| 265 | self.ErrAvalue=None |
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| 266 | self.ErrBvalue=None |
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| 267 | self.Chivalue=None |
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[df25521] | 268 | |
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[6ed101a] | 269 | def onWheel(self, event): |
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| 270 | """ |
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[05da1f89] | 271 | Process mouse wheel as zoom events |
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| 272 | @param event: Wheel event |
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[6ed101a] | 273 | """ |
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| 274 | ax = event.inaxes |
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| 275 | step = event.step |
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| 276 | |
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| 277 | if ax != None: |
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| 278 | # Event occurred inside a plotting area |
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| 279 | lo,hi = ax.get_xlim() |
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[05da1f89] | 280 | lo,hi = _rescale(lo,hi,step,pt=event.xdata,scale=ax.get_xscale()) |
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| 281 | if not self.xscale=='log' or lo>0: |
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| 282 | ax.set_xlim((lo,hi)) |
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[6ed101a] | 283 | |
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| 284 | lo,hi = ax.get_ylim() |
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[05da1f89] | 285 | lo,hi = _rescale(lo,hi,step,pt=event.ydata,scale=ax.get_yscale()) |
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| 286 | if not self.yscale=='log' or lo>0: |
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| 287 | ax.set_ylim((lo,hi)) |
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[6ed101a] | 288 | else: |
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[47f695c9] | 289 | # Check if zoom happens in the axes |
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[6ed101a] | 290 | xdata,ydata = None,None |
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| 291 | x,y = event.x,event.y |
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[34ae302] | 292 | |
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[6ed101a] | 293 | for ax in self.axes: |
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| 294 | insidex,_ = ax.xaxis.contains(event) |
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| 295 | if insidex: |
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| 296 | xdata,_ = ax.transAxes.inverse_xy_tup((x,y)) |
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| 297 | insidey,_ = ax.yaxis.contains(event) |
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| 298 | if insidey: |
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| 299 | _,ydata = ax.transAxes.inverse_xy_tup((x,y)) |
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| 300 | if xdata is not None: |
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| 301 | lo,hi = ax.get_xlim() |
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[34ae302] | 302 | lo,hi = _rescale(lo,hi,step,bal=xdata,scale=ax.get_xscale()) |
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[05da1f89] | 303 | if not self.xscale=='log' or lo>0: |
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| 304 | ax.set_xlim((lo,hi)) |
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[6ed101a] | 305 | if ydata is not None: |
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| 306 | lo,hi = ax.get_ylim() |
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[34ae302] | 307 | lo,hi = _rescale(lo,hi,step,bal=ydata,scale=ax.get_yscale()) |
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[05da1f89] | 308 | if not self.yscale=='log' or lo>0: |
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| 309 | ax.set_ylim((lo,hi)) |
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[150c04a] | 310 | |
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[6ed101a] | 311 | self.canvas.draw_idle() |
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| 312 | |
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| 313 | |
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[f52bea1] | 314 | def returnTrans(self): |
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[edce46e] | 315 | """ |
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| 316 | Return values and labels used by Fit Dialog |
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| 317 | """ |
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[b43a009] | 318 | return self.xLabel,self.yLabel, self.Avalue, self.Bvalue,\ |
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[edce46e] | 319 | self.ErrAvalue,self.ErrBvalue,self.Chivalue |
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[dfca3de] | 320 | |
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[e2914b1] | 321 | def setTrans(self,xtrans,ytrans): |
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| 322 | """ |
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| 323 | @param xtrans: set x transformation on Property dialog |
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| 324 | @param ytrans: set y transformation on Property dialog |
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| 325 | """ |
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| 326 | self.prevXtrans =xtrans |
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| 327 | self.prevYtrans =ytrans |
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[dfca3de] | 328 | |
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[52b1f77] | 329 | def onFitting(self, event): |
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[e2914b1] | 330 | """ |
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| 331 | when clicking on linear Fit on context menu , display Fitting Dialog |
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| 332 | """ |
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[52b1f77] | 333 | list =[] |
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| 334 | list = self.graph.returnPlottable() |
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| 335 | from fitDialog import LinearFit |
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[7a03e65] | 336 | |
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[52b1f77] | 337 | if len(list.keys())>0: |
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| 338 | first_item = list.keys()[0] |
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[05da1f89] | 339 | dlg = LinearFit( None, first_item, self.onFitDisplay,self.returnTrans, -1, 'Linear Fit') |
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[b43a009] | 340 | |
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[ddff053] | 341 | if (self.xmin !=0.0 )and ( self.xmax !=0.0)\ |
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| 342 | and(self.xminView !=0.0 )and ( self.xmaxView !=0.0): |
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| 343 | dlg.setFitRange(self.xminView,self.xmaxView,self.xmin,self.xmax) |
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[52b1f77] | 344 | dlg.ShowModal() |
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| 345 | |
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[052a66bc] | 346 | def linear_plottable_fit(self, plot): |
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| 347 | """ |
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| 348 | when clicking on linear Fit on context menu , display Fitting Dialog |
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| 349 | """ |
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| 350 | from fitDialog import LinearFit |
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| 351 | |
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| 352 | dlg = LinearFit( None, plot, self.onFitDisplay,self.returnTrans, -1, 'Linear Fit') |
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| 353 | |
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| 354 | if (self.xmin !=0.0 )and ( self.xmax !=0.0)\ |
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| 355 | and(self.xminView !=0.0 )and ( self.xmaxView !=0.0): |
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| 356 | dlg.setFitRange(self.xminView,self.xmaxView,self.xmin,self.xmax) |
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| 357 | dlg.ShowModal() |
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| 358 | |
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[52b1f77] | 359 | def _onProperties(self, event): |
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[e2914b1] | 360 | """ |
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| 361 | when clicking on Properties on context menu ,The Property dialog is displayed |
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| 362 | The user selects a transformation for x or y value and a new plot is displayed |
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| 363 | """ |
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[34ae302] | 364 | list =[] |
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| 365 | list = self.graph.returnPlottable() |
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| 366 | if len(list.keys())>0: |
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| 367 | first_item = list.keys()[0] |
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| 368 | if first_item.x !=[]: |
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| 369 | from PropertyDialog import Properties |
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| 370 | dial = Properties(self, -1, 'Properties') |
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| 371 | dial.setValues( self.prevXtrans, self.prevYtrans,self.viewModel ) |
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| 372 | if dial.ShowModal() == wx.ID_OK: |
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[b43a009] | 373 | self.xLabel, self.yLabel,self.viewModel = dial.getValues() |
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[34ae302] | 374 | if self.viewModel =="Guinier lny vs x^(2)": |
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[b43a009] | 375 | self.xLabel="x^(2)" |
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| 376 | self.yLabel="ln(y)" |
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[34ae302] | 377 | self.viewModel = "--" |
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[b43a009] | 378 | dial.setValues( self.xLabel, self.yLabel,self.viewModel ) |
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[34ae302] | 379 | self._onEVT_FUNC_PROPERTY() |
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| 380 | dial.Destroy() |
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| 381 | |
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[831149e] | 382 | |
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[2bf92f2] | 383 | def set_yscale(self, scale='linear'): |
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[e2914b1] | 384 | """ |
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| 385 | Set the scale on Y-axis |
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| 386 | @param scale: the scale of y-axis |
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| 387 | """ |
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[2bf92f2] | 388 | self.subplot.set_yscale(scale) |
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| 389 | self.yscale = scale |
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| 390 | |
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| 391 | def get_yscale(self): |
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[e2914b1] | 392 | """ |
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| 393 | @return: Y-axis scale |
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| 394 | """ |
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[2bf92f2] | 395 | return self.yscale |
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[52b1f77] | 396 | |
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| 397 | def set_xscale(self, scale='linear'): |
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[e2914b1] | 398 | """ |
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| 399 | Set the scale on x-axis |
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| 400 | @param scale: the scale of x-axis |
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| 401 | """ |
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[52b1f77] | 402 | self.subplot.set_xscale(scale) |
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| 403 | self.xscale = scale |
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[e2914b1] | 404 | |
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[52b1f77] | 405 | def get_xscale(self): |
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[e2914b1] | 406 | """ |
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| 407 | @return: x-axis scale |
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| 408 | """ |
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[52b1f77] | 409 | return self.xscale |
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[2bf92f2] | 410 | |
---|
| 411 | def SetColor(self, rgbtuple): |
---|
| 412 | """Set figure and canvas colours to be the same""" |
---|
| 413 | if not rgbtuple: |
---|
| 414 | rgbtuple = wx.SystemSettings.GetColour(wx.SYS_COLOUR_BTNFACE).Get() |
---|
| 415 | col = [c/255.0 for c in rgbtuple] |
---|
| 416 | self.figure.set_facecolor(col) |
---|
| 417 | self.figure.set_edgecolor(col) |
---|
| 418 | self.canvas.SetBackgroundColour(wx.Colour(*rgbtuple)) |
---|
| 419 | |
---|
| 420 | def _onSize(self, event): |
---|
| 421 | self._resizeflag = True |
---|
| 422 | |
---|
| 423 | def _onIdle(self, evt): |
---|
| 424 | if self._resizeflag: |
---|
| 425 | self._resizeflag = False |
---|
| 426 | self._SetSize() |
---|
| 427 | self.draw() |
---|
| 428 | |
---|
| 429 | def _SetSize(self, pixels = None): |
---|
| 430 | """ |
---|
| 431 | This method can be called to force the Plot to be a desired size, which defaults to |
---|
| 432 | the ClientSize of the panel |
---|
| 433 | """ |
---|
| 434 | if not pixels: |
---|
| 435 | pixels = self.GetClientSize() |
---|
| 436 | self.canvas.SetSize(pixels) |
---|
| 437 | self.figure.set_size_inches(pixels[0]/self.figure.get_dpi(), |
---|
| 438 | pixels[1]/self.figure.get_dpi()) |
---|
| 439 | |
---|
| 440 | def draw(self): |
---|
| 441 | """Where the actual drawing happens""" |
---|
| 442 | self.figure.canvas.draw_idle() |
---|
| 443 | |
---|
[f193585] | 444 | |
---|
[2bf92f2] | 445 | def onSaveImage(self, evt): |
---|
| 446 | #figure.savefig |
---|
[7a03e65] | 447 | #print "Save image not implemented" |
---|
[2bf92f2] | 448 | path = None |
---|
| 449 | dlg = wx.FileDialog(self, "Choose a file", os.getcwd(), "", "*.png", wx.SAVE) |
---|
| 450 | if dlg.ShowModal() == wx.ID_OK: |
---|
| 451 | path = dlg.GetPath() |
---|
| 452 | mypath = os.path.basename(path) |
---|
| 453 | print path |
---|
| 454 | dlg.Destroy() |
---|
| 455 | if not path == None: |
---|
| 456 | self.subplot.figure.savefig(path,dpi=300, facecolor='w', edgecolor='w', |
---|
| 457 | orentation='portrait', papertype=None, format='png') |
---|
| 458 | |
---|
| 459 | def onContextMenu(self, event): |
---|
| 460 | """ |
---|
| 461 | Default context menu for a plot panel |
---|
| 462 | """ |
---|
| 463 | # Slicer plot popup menu |
---|
[052a66bc] | 464 | id = wx.NewId() |
---|
[2bf92f2] | 465 | slicerpop = wx.Menu() |
---|
[052a66bc] | 466 | slicerpop.Append(id,'&Save image', 'Save image as PNG') |
---|
| 467 | wx.EVT_MENU(self, id, self.onSaveImage) |
---|
[bceddd6] | 468 | |
---|
[105614c] | 469 | #id = wx.NewId() |
---|
| 470 | #slicerpop.Append(id, '&Load 1D data file') |
---|
| 471 | #wx.EVT_MENU(self, id, self._onLoad1DData) |
---|
[bceddd6] | 472 | |
---|
[052a66bc] | 473 | id = wx.NewId() |
---|
[52b1f77] | 474 | slicerpop.AppendSeparator() |
---|
[052a66bc] | 475 | slicerpop.Append(id, '&Properties') |
---|
| 476 | wx.EVT_MENU(self, id, self._onProperties) |
---|
[52b1f77] | 477 | |
---|
[052a66bc] | 478 | id = wx.NewId() |
---|
[52b1f77] | 479 | slicerpop.AppendSeparator() |
---|
[052a66bc] | 480 | slicerpop.Append(id, '&Linear Fit') |
---|
| 481 | wx.EVT_MENU(self, id, self.onFitting) |
---|
[34ae302] | 482 | |
---|
[052a66bc] | 483 | id = wx.NewId() |
---|
[34ae302] | 484 | slicerpop.AppendSeparator() |
---|
[052a66bc] | 485 | slicerpop.Append(id, '&Reset Graph') |
---|
| 486 | wx.EVT_MENU(self, id, self.onResetGraph) |
---|
[52b1f77] | 487 | |
---|
[2bf92f2] | 488 | pos = event.GetPosition() |
---|
| 489 | pos = self.ScreenToClient(pos) |
---|
| 490 | self.PopupMenu(slicerpop, pos) |
---|
| 491 | |
---|
| 492 | ## The following is plottable functionality |
---|
| 493 | |
---|
| 494 | |
---|
| 495 | def properties(self,prop): |
---|
| 496 | """Set some properties of the graph. |
---|
| 497 | |
---|
| 498 | The set of properties is not yet determined. |
---|
| 499 | """ |
---|
| 500 | # The particulars of how they are stored and manipulated (e.g., do |
---|
| 501 | # we want an inventory internally) is not settled. I've used a |
---|
| 502 | # property dictionary for now. |
---|
| 503 | # |
---|
| 504 | # How these properties interact with a user defined style file is |
---|
| 505 | # even less clear. |
---|
| 506 | |
---|
| 507 | # Properties defined by plot |
---|
| 508 | self.subplot.set_xlabel(r"$%s$" % prop["xlabel"]) |
---|
| 509 | self.subplot.set_ylabel(r"$%s$" % prop["ylabel"]) |
---|
| 510 | self.subplot.set_title(prop["title"]) |
---|
| 511 | |
---|
| 512 | # Properties defined by user |
---|
| 513 | #self.axes.grid(True) |
---|
| 514 | |
---|
| 515 | def clear(self): |
---|
| 516 | """Reset the plot""" |
---|
| 517 | |
---|
| 518 | # TODO: Redraw is brutal. Render to a backing store and swap in |
---|
| 519 | # TODO: rather than redrawing on the fly. |
---|
| 520 | self.subplot.clear() |
---|
| 521 | self.subplot.hold(True) |
---|
[6ed101a] | 522 | |
---|
[2bf92f2] | 523 | def render(self): |
---|
| 524 | """Commit the plot after all objects are drawn""" |
---|
| 525 | # TODO: this is when the backing store should be swapped in. |
---|
| 526 | from matplotlib.font_manager import FontProperties |
---|
| 527 | self.subplot.legend(prop=FontProperties(size=10)) |
---|
| 528 | #self.subplot.legend() |
---|
| 529 | pass |
---|
| 530 | |
---|
| 531 | def xaxis(self,label,units): |
---|
| 532 | """xaxis label and units. |
---|
| 533 | |
---|
| 534 | Axis labels know about units. |
---|
| 535 | |
---|
| 536 | We need to do this so that we can detect when axes are not |
---|
| 537 | commesurate. Currently this is ignored other than for formatting |
---|
| 538 | purposes. |
---|
| 539 | """ |
---|
| 540 | if units != "": label = label + " (" + units + ")" |
---|
| 541 | self.subplot.set_xlabel(label) |
---|
| 542 | pass |
---|
| 543 | |
---|
| 544 | def yaxis(self,label,units): |
---|
| 545 | """yaxis label and units.""" |
---|
| 546 | if units != "": label = label + " (" + units + ")" |
---|
| 547 | self.subplot.set_ylabel(label) |
---|
| 548 | pass |
---|
| 549 | |
---|
| 550 | def _connect_to_xlim(self,callback): |
---|
| 551 | """Bind the xlim change notification to the callback""" |
---|
| 552 | def process_xlim(axes): |
---|
| 553 | lo,hi = subplot.get_xlim() |
---|
| 554 | callback(lo,hi) |
---|
| 555 | self.subplot.callbacks.connect('xlim_changed',process_xlim) |
---|
| 556 | |
---|
| 557 | #def connect(self,trigger,callback): |
---|
| 558 | # print "PlotPanel.connect???" |
---|
| 559 | # if trigger == 'xlim': self._connect_to_xlim(callback) |
---|
| 560 | |
---|
| 561 | def points(self,x,y,dx=None,dy=None,color=0,symbol=0,label=None): |
---|
| 562 | """Draw markers with error bars""" |
---|
| 563 | self.subplot.set_yscale('linear') |
---|
[52b1f77] | 564 | self.subplot.set_xscale('linear') |
---|
[052a66bc] | 565 | |
---|
[2bf92f2] | 566 | # Convert tuple (lo,hi) to array [(x-lo),(hi-x)] |
---|
| 567 | if dx != None and type(dx) == type(()): |
---|
| 568 | dx = nx.vstack((x-dx[0],dx[1]-x)).transpose() |
---|
| 569 | if dy != None and type(dy) == type(()): |
---|
| 570 | dy = nx.vstack((y-dy[0],dy[1]-y)).transpose() |
---|
| 571 | |
---|
| 572 | if dx==None and dy==None: |
---|
| 573 | h = self.subplot.plot(x,y,color=self._color(color), |
---|
| 574 | marker=self._symbol(symbol),linestyle='',label=label) |
---|
| 575 | else: |
---|
[052a66bc] | 576 | col = self._color(color) |
---|
[2bf92f2] | 577 | self.subplot.errorbar(x, y, yerr=dy, xerr=None, |
---|
[052a66bc] | 578 | ecolor=col, capsize=2,linestyle='', barsabove=False, |
---|
| 579 | mec=col, mfc=col, |
---|
[2bf92f2] | 580 | marker=self._symbol(symbol), |
---|
| 581 | lolims=False, uplims=False, |
---|
[52b1f77] | 582 | xlolims=False, xuplims=False,label=label) |
---|
[2bf92f2] | 583 | |
---|
| 584 | self.subplot.set_yscale(self.yscale) |
---|
[52b1f77] | 585 | self.subplot.set_xscale(self.xscale) |
---|
[2bf92f2] | 586 | |
---|
| 587 | def curve(self,x,y,dy=None,color=0,symbol=0,label=None): |
---|
| 588 | """Draw a line on a graph, possibly with confidence intervals.""" |
---|
| 589 | c = self._color(color) |
---|
| 590 | self.subplot.set_yscale('linear') |
---|
[52b1f77] | 591 | self.subplot.set_xscale('linear') |
---|
[2bf92f2] | 592 | |
---|
| 593 | hlist = self.subplot.plot(x,y,color=c,marker='',linestyle='-',label=label) |
---|
| 594 | |
---|
| 595 | self.subplot.set_yscale(self.yscale) |
---|
[52b1f77] | 596 | self.subplot.set_xscale(self.xscale) |
---|
[2bf92f2] | 597 | |
---|
| 598 | def _color(self,c): |
---|
| 599 | """Return a particular colour""" |
---|
| 600 | return self.colorlist[c%len(self.colorlist)] |
---|
| 601 | |
---|
| 602 | def _symbol(self,s): |
---|
| 603 | """Return a particular symbol""" |
---|
| 604 | return self.symbollist[s%len(self.symbollist)] |
---|
[52b1f77] | 605 | |
---|
[052a66bc] | 606 | def _replot(self): |
---|
| 607 | """ |
---|
| 608 | Rescale the plottables according to the latest |
---|
| 609 | user selection and update the plot |
---|
| 610 | """ |
---|
| 611 | self.graph.reset_scale() |
---|
| 612 | self._onEVT_FUNC_PROPERTY(remove_fit=False) |
---|
| 613 | |
---|
| 614 | #TODO: Why do we have to have the following line? |
---|
| 615 | self.fit_result.reset_view() |
---|
| 616 | |
---|
| 617 | self.graph.render(self) |
---|
| 618 | self.subplot.figure.canvas.draw_idle() |
---|
| 619 | |
---|
| 620 | def _onEVT_FUNC_PROPERTY(self, remove_fit=True): |
---|
[52b1f77] | 621 | """ |
---|
[8cebf9b] | 622 | Receive the x and y transformation from myDialog,Transforms x and y in View |
---|
| 623 | and set the scale |
---|
[52b1f77] | 624 | """ |
---|
| 625 | list =[] |
---|
| 626 | list = self.graph.returnPlottable() |
---|
[052a66bc] | 627 | |
---|
| 628 | if remove_fit: |
---|
| 629 | self.fit_result.x =[] |
---|
| 630 | self.fit_result.y =[] |
---|
| 631 | self.fit_result.dx=None |
---|
| 632 | self.fit_result.dy=None |
---|
| 633 | self.graph.delete(self.fit_result) |
---|
[f193585] | 634 | |
---|
[52b1f77] | 635 | for item in list: |
---|
[b43a009] | 636 | item.setLabel(self.xLabel,self.yLabel) |
---|
| 637 | if ( self.xLabel=="x" ): |
---|
| 638 | item.transformX(transform.toX,transform.errToX) |
---|
[52b1f77] | 639 | self.set_xscale("linear") |
---|
[f52bea1] | 640 | name, units = item.get_xaxis() |
---|
[b6972a0f] | 641 | self.graph.xaxis("%s" % name, "%s" % units) |
---|
| 642 | |
---|
[52b1f77] | 643 | |
---|
[b43a009] | 644 | if ( self.xLabel=="x^(2)" ): |
---|
| 645 | item.transformX(transform.toX2,transform.errToX2) |
---|
[52b1f77] | 646 | self.set_xscale('linear') |
---|
[f52bea1] | 647 | name, units = item.get_xaxis() |
---|
[b6972a0f] | 648 | units=convertUnit(2,units) |
---|
| 649 | self.graph.xaxis("%s^{2}" % name, "%s" % units) |
---|
| 650 | |
---|
[52b1f77] | 651 | |
---|
[b43a009] | 652 | if (self.xLabel=="log10(x)" ): |
---|
| 653 | item.transformX(transform.toX,transform.errToX) |
---|
[8cebf9b] | 654 | self.set_xscale("log") |
---|
[f193585] | 655 | name, units = item.get_xaxis() |
---|
[b6972a0f] | 656 | self.graph.xaxis("\log_{10}\ \ (%s)" % name, "%s" % units) |
---|
| 657 | |
---|
[52b1f77] | 658 | |
---|
[b43a009] | 659 | if ( self.yLabel=="ln(y)" ): |
---|
| 660 | item.transformY(transform.toLogX,transform.errToLogX) |
---|
[831149e] | 661 | self.set_yscale("linear") |
---|
| 662 | name, units = item.get_yaxis() |
---|
[b6972a0f] | 663 | self.graph.yaxis("log\ \ %s" % name, "%s" % units) |
---|
| 664 | |
---|
[831149e] | 665 | |
---|
[b43a009] | 666 | if ( self.yLabel=="y" ): |
---|
| 667 | item.transformY(transform.toX,transform.errToX) |
---|
[52b1f77] | 668 | self.set_yscale("linear") |
---|
[f52bea1] | 669 | name, units = item.get_yaxis() |
---|
[b6972a0f] | 670 | self.graph.yaxis("%s" % name, "%s" % units) |
---|
| 671 | |
---|
[52b1f77] | 672 | |
---|
[b43a009] | 673 | if ( self.yLabel=="log10(y)" ): |
---|
| 674 | item.transformY(transform.toX,transform.errToX) |
---|
[52b1f77] | 675 | self.set_yscale("log") |
---|
[f52bea1] | 676 | name, units = item.get_yaxis() |
---|
[b6972a0f] | 677 | self.graph.yaxis("\log_{10}\ \ (%s)" % name, "%s" % units) |
---|
| 678 | |
---|
[52b1f77] | 679 | |
---|
[b43a009] | 680 | if ( self.yLabel=="y^(2)" ): |
---|
| 681 | item.transformY( transform.toX2,transform.errToX2 ) |
---|
[52b1f77] | 682 | self.set_yscale("linear") |
---|
[f52bea1] | 683 | name, units = item.get_yaxis() |
---|
[b6972a0f] | 684 | units=convertUnit(2,units) |
---|
| 685 | self.graph.yaxis("%s^{2}" % name, "%s" % units) |
---|
| 686 | |
---|
[35891ce] | 687 | |
---|
[b43a009] | 688 | if ( self.yLabel =="1/y"): |
---|
| 689 | item.transformY(transform.toOneOverX,transform.errOneOverX ) |
---|
[3d3a0e5] | 690 | self.set_yscale("linear") |
---|
| 691 | name, units = item.get_yaxis() |
---|
[b6972a0f] | 692 | units=convertUnit(-1,units) |
---|
| 693 | self.graph.yaxis("1/%s" % name, "%s" % units) |
---|
[35891ce] | 694 | |
---|
[b43a009] | 695 | if ( self.yLabel =="1/sqrt(y)" ): |
---|
| 696 | item.transformY(transform.toOneOverSqrtX,transform.errOneOverSqrtX ) |
---|
[3d3a0e5] | 697 | self.set_yscale("linear") |
---|
| 698 | name, units = item.get_yaxis() |
---|
[43bf807] | 699 | units=convertUnit(-0.5,units) |
---|
[05da1f89] | 700 | self.graph.yaxis("1/\sqrt{%s}" %name, "%s" % units) |
---|
[7a03e65] | 701 | |
---|
[b43a009] | 702 | if ( self.yLabel =="ln(y*x)"): |
---|
| 703 | item.transformY( transform.toLogXY,transform.errToLogXY) |
---|
[7a03e65] | 704 | self.set_yscale("linear") |
---|
[3d3a0e5] | 705 | yname, yunits = item.get_yaxis() |
---|
| 706 | xname, xunits = item.get_xaxis() |
---|
[b6972a0f] | 707 | self.graph.yaxis("log\ (%s \ \ %s)" % (yname,xname), "%s%s" % (yunits,xunits)) |
---|
| 708 | |
---|
[831149e] | 709 | |
---|
[b43a009] | 710 | if ( self.yLabel =="ln(y*x^(2))"): |
---|
| 711 | item.transformY( transform.toLogYX2,transform.errToLogYX2) |
---|
[7a03e65] | 712 | self.set_yscale("linear") |
---|
[3d3a0e5] | 713 | yname, yunits = item.get_yaxis() |
---|
[47f695c9] | 714 | xname, xunits = item.get_xaxis() |
---|
[b6972a0f] | 715 | xunits = convertUnit(2,xunits) |
---|
[43bf807] | 716 | self.graph.yaxis("Log (%s \ \ %s^{2})" % (yname,xname), "%s%s" % (yunits,xunits)) |
---|
[b6972a0f] | 717 | |
---|
[831149e] | 718 | |
---|
[b43a009] | 719 | if ( self.yLabel =="ln(y*x^(4))"): |
---|
| 720 | item.transformY(transform.toLogYX4,transform.errToLogYX4) |
---|
[831149e] | 721 | self.set_yscale("linear") |
---|
| 722 | yname, yunits = item.get_yaxis() |
---|
| 723 | xname, xunits = item.get_xaxis() |
---|
[b6972a0f] | 724 | xunits = convertUnit(4,xunits) |
---|
[43bf807] | 725 | self.graph.yaxis("Log (%s \ \ %s^{4})" % (yname,xname), "%s%s" % (yunits,xunits)) |
---|
[b6972a0f] | 726 | |
---|
[dfca3de] | 727 | if ( self.viewModel == "Guinier lny vs x^(2)"): |
---|
[b43a009] | 728 | |
---|
| 729 | item.transformX(transform.toX2,transform.errToX2) |
---|
[dfca3de] | 730 | self.set_xscale('linear') |
---|
| 731 | name, units = item.get_xaxis() |
---|
[b6972a0f] | 732 | units = convertUnit(2,units) |
---|
| 733 | self.graph.xaxis("%s^{2}" % name, "%s" % units) |
---|
| 734 | |
---|
[b43a009] | 735 | |
---|
| 736 | item.transformY(transform.toLogX,transform.errToLogX ) |
---|
[dfca3de] | 737 | self.set_yscale("linear") |
---|
| 738 | name, units = item.get_yaxis() |
---|
[b6972a0f] | 739 | self.graph.yaxis("$Log %s$" % name, "%s" % units) |
---|
| 740 | |
---|
[b43a009] | 741 | |
---|
[bbec827] | 742 | item.transformView() |
---|
[b43a009] | 743 | |
---|
[b6972a0f] | 744 | |
---|
[71c64d6] | 745 | self.resetFitView() |
---|
[b43a009] | 746 | self.prevXtrans = self.xLabel |
---|
| 747 | self.prevYtrans = self.yLabel |
---|
[52b1f77] | 748 | self.graph.render(self) |
---|
| 749 | self.subplot.figure.canvas.draw_idle() |
---|
[46693050] | 750 | |
---|
[b6972a0f] | 751 | |
---|
| 752 | |
---|
[b43a009] | 753 | def onFitDisplay(self, tempx,tempy,xminView,xmaxView,xmin,xmax,func): |
---|
[e2914b1] | 754 | """ |
---|
| 755 | Add a new plottable into the graph .In this case this plottable will be used |
---|
| 756 | to fit some data |
---|
[edce46e] | 757 | @param tempx: The x data of fit line |
---|
| 758 | @param tempy: The y data of fit line |
---|
| 759 | @param xminView: the lower bound of fitting range |
---|
| 760 | @param xminView: the upper bound of fitting range |
---|
| 761 | @param xmin: the lowest value of data to fit to the line |
---|
| 762 | @param xmax: the highest value of data to fit to the line |
---|
[e2914b1] | 763 | """ |
---|
[edce46e] | 764 | # Saving value to redisplay in Fit Dialog when it is opened again |
---|
[b43a009] | 765 | self.Avalue,self.Bvalue,self.ErrAvalue,self.ErrBvalue,self.Chivalue=func |
---|
[edce46e] | 766 | self.xminView=xminView |
---|
| 767 | self.xmaxView=xmaxView |
---|
| 768 | self.xmin= xmin |
---|
| 769 | self.xmax= xmax |
---|
| 770 | #In case need to change the range of data plotted |
---|
[34ae302] | 771 | list =[] |
---|
| 772 | list = self.graph.returnPlottable() |
---|
| 773 | for item in list: |
---|
[150c04a] | 774 | #item.onFitRange(xminView,xmaxView) |
---|
| 775 | item.onFitRange(None,None) |
---|
[edce46e] | 776 | |
---|
[bbec827] | 777 | # Create new data plottable with result |
---|
| 778 | self.fit_result.x =[] |
---|
| 779 | self.fit_result.y =[] |
---|
| 780 | self.fit_result.x =tempx |
---|
| 781 | self.fit_result.y =tempy |
---|
| 782 | self.fit_result.dx=None |
---|
| 783 | self.fit_result.dy=None |
---|
| 784 | #Load the view with the new values |
---|
[edce46e] | 785 | self.fit_result.reset_view() |
---|
| 786 | # Add the new plottable to the graph |
---|
[bbec827] | 787 | self.graph.add(self.fit_result) |
---|
| 788 | self.graph.render(self) |
---|
[52b1f77] | 789 | self.subplot.figure.canvas.draw_idle() |
---|
[edce46e] | 790 | |
---|
[f193585] | 791 | |
---|
[34ae302] | 792 | def onResetGraph(self,event): |
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[edce46e] | 793 | """ |
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| 794 | Reset the graph by plotting the full range of data |
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| 795 | """ |
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[34ae302] | 796 | list =[] |
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| 797 | list = self.graph.returnPlottable() |
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| 798 | for item in list: |
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| 799 | item.onReset() |
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| 800 | self.graph.render(self) |
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| 801 | self.subplot.figure.canvas.draw_idle() |
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[f193585] | 802 | |
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[2bf92f2] | 803 | class NoRepaintCanvas(FigureCanvasWxAgg): |
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| 804 | """We subclass FigureCanvasWxAgg, overriding the _onPaint method, so that |
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| 805 | the draw method is only called for the first two paint events. After that, |
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| 806 | the canvas will only be redrawn when it is resized. |
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| 807 | """ |
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| 808 | def __init__(self, *args, **kwargs): |
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| 809 | FigureCanvasWxAgg.__init__(self, *args, **kwargs) |
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| 810 | self._drawn = 0 |
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| 811 | |
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| 812 | def _onPaint(self, evt): |
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| 813 | """ |
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| 814 | Called when wxPaintEvt is generated |
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| 815 | """ |
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| 816 | if not self._isRealized: |
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| 817 | self.realize() |
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| 818 | if self._drawn < 2: |
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| 819 | self.draw(repaint = False) |
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| 820 | self._drawn += 1 |
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| 821 | self.gui_repaint(drawDC=wx.PaintDC(self)) |
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| 822 | |
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