| 1 | import wx.lib.newevent |
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| 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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| 9 | import fittings |
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| 10 | import transform |
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| 11 | from canvas import FigureCanvas |
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| 12 | from matplotlib.widgets import RectangleSelector |
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| 13 | from pylab import gca, gcf |
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| 14 | from plottables import Theory1D |
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| 15 | #TODO: make the plottables interactive |
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| 16 | from binder import BindArtist |
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| 17 | |
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| 18 | DEBUG = False |
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| 19 | |
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| 20 | from plottables import Graph |
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| 21 | #(FuncFitEvent, EVT_FUNC_FIT) = wx.lib.newevent.NewEvent() |
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| 22 | import math,pylab,re |
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| 23 | |
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| 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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| 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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| 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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| 37 | return unit |
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| 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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| 51 | def _rescale(lo,hi,step,pt=None,bal=None,scale='linear'): |
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| 52 | """ |
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| 53 | Rescale (lo,hi) by step, returning the new (lo,hi) |
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| 54 | The scaling is centered on pt, with positive values of step |
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| 55 | driving lo/hi away from pt and negative values pulling them in. |
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| 56 | If bal is given instead of point, it is already in [0,1] coordinates. |
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| 57 | |
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| 58 | This is a helper function for step-based zooming. |
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| 59 | """ |
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| 60 | # Convert values into the correct scale for a linear transformation |
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| 61 | # TODO: use proper scale transformers |
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| 62 | loprev = lo |
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| 63 | hiprev = hi |
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| 64 | ptprev = pt |
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| 65 | if scale=='log': |
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| 66 | assert lo >0 |
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| 67 | if lo > 0 : |
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| 68 | lo = math.log10(lo) |
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| 69 | if hi > 0 : |
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| 70 | hi = math.log10(hi) |
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| 71 | if pt is not None: pt = math.log10(pt) |
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| 72 | |
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| 73 | # Compute delta from axis range * %, or 1-% if persent is negative |
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| 74 | if step > 0: |
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| 75 | delta = float(hi-lo)*step/100 |
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| 76 | else: |
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| 77 | delta = float(hi-lo)*step/(100-step) |
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| 78 | |
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| 79 | # Add scale factor proportionally to the lo and hi values, preserving the |
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| 80 | # point under the mouse |
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| 81 | if bal is None: |
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| 82 | bal = float(pt-lo)/(hi-lo) |
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| 83 | lo = lo - bal*delta |
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| 84 | hi = hi + (1-bal)*delta |
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| 85 | |
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| 86 | # Convert transformed values back to the original scale |
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| 87 | if scale=='log': |
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| 88 | if (lo <= -250) or (hi >= 250): |
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| 89 | lo=loprev |
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| 90 | hi=hiprev |
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| 91 | else: |
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| 92 | lo,hi = math.pow(10.,lo),math.pow(10.,hi) |
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| 93 | return (lo,hi) |
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| 94 | |
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| 95 | |
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| 96 | class PlotPanel(wx.Panel): |
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| 97 | """ |
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| 98 | The PlotPanel has a Figure and a Canvas. OnSize events simply set a |
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| 99 | flag, and the actually redrawing of the |
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| 100 | figure is triggered by an Idle event. |
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| 101 | """ |
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| 102 | def __init__(self, parent, id = -1, color = None,\ |
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| 103 | dpi = None, **kwargs): |
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| 104 | wx.Panel.__init__(self, parent, id = id, **kwargs) |
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| 105 | self.parent = parent |
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| 106 | self.figure = Figure(None, dpi) |
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| 107 | #self.figure = pylab.Figure(None, dpi) |
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| 108 | #self.canvas = NoRepaintCanvas(self, -1, self.figure) |
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| 109 | self.canvas = FigureCanvas(self, -1, self.figure) |
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| 110 | self.SetColor(color) |
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| 111 | #self.Bind(wx.EVT_IDLE, self._onIdle) |
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| 112 | #self.Bind(wx.EVT_SIZE, self._onSize) |
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| 113 | self._resizeflag = True |
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| 114 | self._SetSize() |
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| 115 | self.subplot = self.figure.add_subplot(111) |
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| 116 | self.figure.subplots_adjust(left=.2, bottom=.2) |
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| 117 | self.yscale = 'linear' |
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| 118 | self.xscale = 'linear' |
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| 119 | sizer = wx.BoxSizer(wx.VERTICAL) |
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| 120 | sizer.Add(self.canvas,1,wx.EXPAND) |
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| 121 | self.SetSizer(sizer) |
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| 122 | |
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| 123 | # Graph object to manage the plottables |
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| 124 | self.graph = Graph() |
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| 125 | #self.Bind(EVT_FUNC_FIT, self.onFitRange) |
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| 126 | self.Bind(wx.EVT_CONTEXT_MENU, self.onContextMenu) |
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| 127 | |
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| 128 | #self.Bind(EVT_PROPERTY, self._onEVT_FUNC_PROPERTY) |
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| 129 | # Define some constants |
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| 130 | self.colorlist = ['b','g','r','c','m','y'] |
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| 131 | self.symbollist = ['o','x','^','v','<','>','+','s','d','D','h','H','p'] |
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| 132 | #User scale |
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| 133 | self.xLabel ="x" |
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| 134 | self.yLabel ="y" |
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| 135 | self.viewModel ="--" |
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| 136 | # keep track if the previous transformation of x and y in Property dialog |
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| 137 | self.prevXtrans ="x" |
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| 138 | self.prevYtrans ="y" |
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| 139 | self.canvas.mpl_connect('scroll_event',self.onWheel) |
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| 140 | #taking care of dragging |
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| 141 | self.canvas.mpl_connect('motion_notify_event',self.onMouseMotion) |
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| 142 | self.canvas.mpl_connect('button_press_event',self.onLeftDown) |
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| 143 | self.canvas.mpl_connect('button_release_event',self.onLeftUp) |
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| 144 | |
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| 145 | |
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| 146 | self.leftdown=False |
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| 147 | self.leftup=False |
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| 148 | self.mousemotion=False |
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| 149 | |
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| 150 | self.axes = [self.subplot] |
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| 151 | |
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| 152 | ## Fit dialog |
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| 153 | self._fit_dialog = None |
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| 154 | |
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| 155 | # Interactor |
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| 156 | self.connect = BindArtist(self.subplot.figure) |
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| 157 | #self.selected_plottable = None |
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| 158 | |
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| 159 | # new data for the fit |
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| 160 | self.fit_result = Theory1D(x=[], y=[], dy=None) |
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| 161 | #self.fit_result = Data1D(x=[], y=[],dx=None, dy=None) |
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| 162 | self.fit_result.name = "Fit" |
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| 163 | # For fit Dialog initial display |
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| 164 | self.xmin=0.0 |
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| 165 | self.xmax=0.0 |
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| 166 | self.xminView=0.0 |
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| 167 | self.xmaxView=0.0 |
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| 168 | self._scale_xlo = None |
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| 169 | self._scale_xhi = None |
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| 170 | self._scale_ylo = None |
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| 171 | self._scale_yhi = None |
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| 172 | self.Avalue=None |
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| 173 | self.Bvalue=None |
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| 174 | self.ErrAvalue=None |
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| 175 | self.ErrBvalue=None |
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| 176 | self.Chivalue=None |
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| 177 | |
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| 178 | # Dragging info |
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| 179 | self.begDrag=False |
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| 180 | self.xInit=None |
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| 181 | self.yInit=None |
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| 182 | self.xFinal=None |
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| 183 | self.yFinal=None |
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| 184 | |
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| 185 | # Default locations |
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| 186 | self._default_save_location = os.getcwd() |
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| 187 | |
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| 188 | |
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| 189 | def onLeftDown(self,event): |
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| 190 | """ left button down and ready to drag""" |
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| 191 | self.leftdown=True |
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| 192 | ax = event.inaxes |
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| 193 | if ax != None: |
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| 194 | self.xInit,self.yInit=event.xdata,event.ydata |
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| 195 | |
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| 196 | |
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| 197 | def onLeftUp(self,event): |
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| 198 | """ Dragging is done """ |
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| 199 | self.leftdown=False |
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| 200 | self.mousemotion=False |
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| 201 | self.leftup=True |
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| 202 | |
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| 203 | def onMouseMotion(self,event): |
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| 204 | """ |
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| 205 | check if the left button is press and the mouse in moving. |
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| 206 | computer delta for x and y coordinates and then calls draghelper |
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| 207 | to perform the drag |
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| 208 | """ |
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| 209 | self.mousemotion=True |
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| 210 | if self.leftdown==True and self.mousemotion==True: |
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| 211 | |
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| 212 | ax = event.inaxes |
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| 213 | if ax !=None:#the dragging is perform inside the figure |
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| 214 | self.xFinal,self.yFinal=event.xdata,event.ydata |
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| 215 | |
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| 216 | # Check whether this is the first point |
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| 217 | if self.xInit==None: |
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| 218 | self.xInit = self.xFinal |
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| 219 | self.yInit = self.yFinal |
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| 220 | |
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| 221 | xdelta = self.xFinal -self.xInit |
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| 222 | ydelta = self.yFinal -self.yInit |
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| 223 | |
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| 224 | if self.xscale=='log': |
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| 225 | xdelta = math.log10(self.xFinal) -math.log10(self.xInit) |
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| 226 | if self.yscale=='log': |
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| 227 | ydelta = math.log10(self.yFinal) -math.log10(self.yInit) |
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| 228 | self.dragHelper(xdelta,ydelta) |
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| 229 | |
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| 230 | else:# no dragging is perform elsewhere |
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| 231 | self.dragHelper(0,0) |
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| 232 | |
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| 233 | def _offset_graph(self): |
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| 234 | """ |
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| 235 | Zoom and offset the graph to the last known |
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| 236 | settings |
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| 237 | """ |
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| 238 | |
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| 239 | for ax in self.axes: |
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| 240 | if self._scale_xhi is not None and self._scale_xlo is not None: |
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| 241 | ax.set_xlim(self._scale_xlo, self._scale_xhi) |
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| 242 | if self._scale_yhi is not None and self._scale_ylo is not None: |
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| 243 | ax.set_ylim(self._scale_ylo, self._scale_yhi) |
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| 244 | |
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| 245 | |
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| 246 | def dragHelper(self,xdelta,ydelta): |
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| 247 | """ dragging occurs here""" |
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| 248 | |
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| 249 | # Event occurred inside a plotting area |
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| 250 | for ax in self.axes: |
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| 251 | lo,hi= ax.get_xlim() |
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| 252 | #print "x lo %f and x hi %f"%(lo,hi) |
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| 253 | newlo,newhi= lo- xdelta, hi- xdelta |
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| 254 | if self.xscale=='log': |
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| 255 | if lo > 0: |
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| 256 | newlo= math.log10(lo)-xdelta |
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| 257 | if hi > 0: |
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| 258 | newhi= math.log10(hi)-xdelta |
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| 259 | if self.xscale=='log': |
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| 260 | self._scale_xlo = math.pow(10,newlo) |
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| 261 | self._scale_xhi = math.pow(10,newhi) |
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| 262 | ax.set_xlim(math.pow(10,newlo),math.pow(10,newhi)) |
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| 263 | else: |
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| 264 | self._scale_xlo = newlo |
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| 265 | self._scale_xhi = newhi |
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| 266 | ax.set_xlim(newlo,newhi) |
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| 267 | #print "new lo %f and new hi %f"%(newlo,newhi) |
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| 268 | |
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| 269 | lo,hi= ax.get_ylim() |
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| 270 | #print "y lo %f and y hi %f"%(lo,hi) |
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| 271 | newlo,newhi= lo- ydelta, hi- ydelta |
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| 272 | if self.yscale=='log': |
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| 273 | if lo > 0: |
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| 274 | newlo= math.log10(lo)-ydelta |
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| 275 | if hi > 0: |
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| 276 | newhi= math.log10(hi)-ydelta |
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| 277 | #print "new lo %f and new hi %f"%(newlo,newhi) |
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| 278 | if self.yscale=='log': |
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| 279 | self._scale_ylo = math.pow(10,newlo) |
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| 280 | self._scale_yhi = math.pow(10,newhi) |
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| 281 | ax.set_ylim(math.pow(10,newlo),math.pow(10,newhi)) |
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| 282 | else: |
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| 283 | self._scale_ylo = newlo |
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| 284 | self._scale_yhi = newhi |
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| 285 | ax.set_ylim(newlo,newhi) |
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| 286 | self.canvas.draw_idle() |
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| 287 | |
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| 288 | |
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| 289 | |
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| 290 | def resetFitView(self): |
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| 291 | """ |
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| 292 | For fit Dialog initial display |
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| 293 | """ |
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| 294 | self.xmin=0.0 |
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| 295 | self.xmax=0.0 |
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| 296 | self.xminView=0.0 |
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| 297 | self.xmaxView=0.0 |
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| 298 | self._scale_xlo = None |
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| 299 | self._scale_xhi = None |
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| 300 | self._scale_ylo = None |
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| 301 | self._scale_yhi = None |
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| 302 | self.Avalue=None |
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| 303 | self.Bvalue=None |
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| 304 | self.ErrAvalue=None |
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| 305 | self.ErrBvalue=None |
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| 306 | self.Chivalue=None |
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| 307 | |
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| 308 | def onWheel(self, event): |
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| 309 | """ |
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| 310 | Process mouse wheel as zoom events |
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| 311 | @param event: Wheel event |
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| 312 | """ |
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| 313 | ax = event.inaxes |
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| 314 | step = event.step |
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| 315 | |
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| 316 | if ax != None: |
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| 317 | # Event occurred inside a plotting area |
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| 318 | lo,hi = ax.get_xlim() |
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| 319 | lo,hi = _rescale(lo,hi,step,pt=event.xdata,scale=ax.get_xscale()) |
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| 320 | if not self.xscale=='log' or lo>0: |
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| 321 | self._scale_xlo = lo |
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| 322 | self._scale_xhi = hi |
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| 323 | ax.set_xlim((lo,hi)) |
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| 324 | |
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| 325 | lo,hi = ax.get_ylim() |
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| 326 | lo,hi = _rescale(lo,hi,step,pt=event.ydata,scale=ax.get_yscale()) |
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| 327 | if not self.yscale=='log' or lo>0: |
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| 328 | self._scale_ylo = lo |
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| 329 | self._scale_yhi = hi |
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| 330 | ax.set_ylim((lo,hi)) |
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| 331 | else: |
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| 332 | # Check if zoom happens in the axes |
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| 333 | xdata,ydata = None,None |
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| 334 | x,y = event.x,event.y |
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| 335 | |
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| 336 | for ax in self.axes: |
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| 337 | insidex,_ = ax.xaxis.contains(event) |
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| 338 | if insidex: |
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| 339 | xdata,_ = ax.transAxes.inverse_xy_tup((x,y)) |
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| 340 | insidey,_ = ax.yaxis.contains(event) |
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| 341 | if insidey: |
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| 342 | _,ydata = ax.transAxes.inverse_xy_tup((x,y)) |
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| 343 | if xdata is not None: |
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| 344 | lo,hi = ax.get_xlim() |
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| 345 | lo,hi = _rescale(lo,hi,step,bal=xdata,scale=ax.get_xscale()) |
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| 346 | if not self.xscale=='log' or lo>0: |
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| 347 | self._scale_xlo = lo |
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| 348 | self._scale_xhi = hi |
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| 349 | ax.set_xlim((lo,hi)) |
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| 350 | if ydata is not None: |
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| 351 | lo,hi = ax.get_ylim() |
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| 352 | lo,hi = _rescale(lo,hi,step,bal=ydata,scale=ax.get_yscale()) |
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| 353 | if not self.yscale=='log' or lo>0: |
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| 354 | self._scale_ylo = lo |
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| 355 | self._scale_yhi = hi |
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| 356 | ax.set_ylim((lo,hi)) |
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| 357 | |
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| 358 | self.canvas.draw_idle() |
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| 359 | |
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| 360 | |
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| 361 | def returnTrans(self): |
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| 362 | """ |
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| 363 | Return values and labels used by Fit Dialog |
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| 364 | """ |
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| 365 | return self.xLabel,self.yLabel, self.Avalue, self.Bvalue,\ |
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| 366 | self.ErrAvalue,self.ErrBvalue,self.Chivalue |
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| 367 | |
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| 368 | def setTrans(self,xtrans,ytrans): |
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| 369 | """ |
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| 370 | @param xtrans: set x transformation on Property dialog |
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| 371 | @param ytrans: set y transformation on Property dialog |
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| 372 | """ |
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| 373 | self.prevXtrans =xtrans |
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| 374 | self.prevYtrans =ytrans |
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| 375 | |
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| 376 | def onFitting(self, event): |
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| 377 | """ |
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| 378 | when clicking on linear Fit on context menu , display Fitting Dialog |
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| 379 | """ |
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| 380 | list =[] |
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| 381 | list = self.graph.returnPlottable() |
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| 382 | from fitDialog import LinearFit |
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| 383 | |
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| 384 | if len(list.keys())>0: |
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| 385 | first_item = list.keys()[0] |
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| 386 | dlg = LinearFit( None, first_item, self.onFitDisplay,self.returnTrans, -1, 'Linear Fit') |
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| 387 | |
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| 388 | if (self.xmin !=0.0 )and ( self.xmax !=0.0)\ |
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| 389 | and(self.xminView !=0.0 )and ( self.xmaxView !=0.0): |
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| 390 | dlg.setFitRange(self.xminView,self.xmaxView,self.xmin,self.xmax) |
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| 391 | dlg.ShowModal() |
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| 392 | |
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| 393 | def linear_plottable_fit(self, plot): |
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| 394 | """ |
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| 395 | when clicking on linear Fit on context menu , display Fitting Dialog |
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| 396 | @param plot: PlotPanel owning the graph |
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| 397 | """ |
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| 398 | from fitDialog import LinearFit |
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| 399 | |
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| 400 | if self._fit_dialog is not None: |
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| 401 | return |
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| 402 | |
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| 403 | self._fit_dialog = LinearFit( None, plot, self.onFitDisplay,self.returnTrans, -1, 'Linear Fit') |
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| 404 | |
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| 405 | # Set the zoom area |
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| 406 | if self._scale_xhi is not None and self._scale_xlo is not None: |
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| 407 | self._fit_dialog.set_fit_region(self._scale_xlo, self._scale_xhi) |
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| 408 | |
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| 409 | # Register the close event |
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| 410 | self._fit_dialog.register_close(self._linear_fit_close) |
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| 411 | |
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| 412 | # Show a non-model dialog |
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| 413 | self._fit_dialog.Show() |
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| 414 | |
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| 415 | def _linear_fit_close(self): |
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| 416 | """ |
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| 417 | A fit dialog was closed |
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| 418 | """ |
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| 419 | self._fit_dialog = None |
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| 420 | |
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| 421 | |
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| 422 | def _onProperties(self, event): |
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| 423 | """ |
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| 424 | when clicking on Properties on context menu ,The Property dialog is displayed |
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| 425 | The user selects a transformation for x or y value and a new plot is displayed |
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| 426 | """ |
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| 427 | if self._fit_dialog is not None: |
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| 428 | self._fit_dialog.Destroy() |
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| 429 | self._fit_dialog = None |
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| 430 | |
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| 431 | list =[] |
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| 432 | list = self.graph.returnPlottable() |
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| 433 | if len(list.keys())>0: |
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| 434 | first_item = list.keys()[0] |
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| 435 | if first_item.x !=[]: |
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| 436 | from PropertyDialog import Properties |
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| 437 | dial = Properties(self, -1, 'Properties') |
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| 438 | dial.setValues( self.prevXtrans, self.prevYtrans,self.viewModel ) |
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| 439 | if dial.ShowModal() == wx.ID_OK: |
|---|
| 440 | self.xLabel, self.yLabel,self.viewModel = dial.getValues() |
|---|
| 441 | if self.viewModel =="Guinier lny vs x^(2)": |
|---|
| 442 | self.xLabel="x^(2)" |
|---|
| 443 | self.yLabel="ln(y)" |
|---|
| 444 | self.viewModel = "--" |
|---|
| 445 | dial.setValues( self.xLabel, self.yLabel,self.viewModel ) |
|---|
| 446 | self._onEVT_FUNC_PROPERTY() |
|---|
| 447 | dial.Destroy() |
|---|
| 448 | |
|---|
| 449 | |
|---|
| 450 | def set_yscale(self, scale='linear'): |
|---|
| 451 | """ |
|---|
| 452 | Set the scale on Y-axis |
|---|
| 453 | @param scale: the scale of y-axis |
|---|
| 454 | """ |
|---|
| 455 | self.subplot.set_yscale(scale) |
|---|
| 456 | self.yscale = scale |
|---|
| 457 | |
|---|
| 458 | def get_yscale(self): |
|---|
| 459 | """ |
|---|
| 460 | @return: Y-axis scale |
|---|
| 461 | """ |
|---|
| 462 | return self.yscale |
|---|
| 463 | |
|---|
| 464 | def set_xscale(self, scale='linear'): |
|---|
| 465 | """ |
|---|
| 466 | Set the scale on x-axis |
|---|
| 467 | @param scale: the scale of x-axis |
|---|
| 468 | """ |
|---|
| 469 | self.subplot.set_xscale(scale) |
|---|
| 470 | self.xscale = scale |
|---|
| 471 | |
|---|
| 472 | def get_xscale(self): |
|---|
| 473 | """ |
|---|
| 474 | @return: x-axis scale |
|---|
| 475 | """ |
|---|
| 476 | return self.xscale |
|---|
| 477 | |
|---|
| 478 | def SetColor(self, rgbtuple): |
|---|
| 479 | """Set figure and canvas colours to be the same""" |
|---|
| 480 | if not rgbtuple: |
|---|
| 481 | rgbtuple = wx.SystemSettings.GetColour(wx.SYS_COLOUR_BTNFACE).Get() |
|---|
| 482 | col = [c/255.0 for c in rgbtuple] |
|---|
| 483 | self.figure.set_facecolor(col) |
|---|
| 484 | self.figure.set_edgecolor(col) |
|---|
| 485 | self.canvas.SetBackgroundColour(wx.Colour(*rgbtuple)) |
|---|
| 486 | |
|---|
| 487 | def _onSize(self, event): |
|---|
| 488 | self._resizeflag = True |
|---|
| 489 | |
|---|
| 490 | def _onIdle(self, evt): |
|---|
| 491 | if self._resizeflag: |
|---|
| 492 | self._resizeflag = False |
|---|
| 493 | self._SetSize() |
|---|
| 494 | self.draw() |
|---|
| 495 | |
|---|
| 496 | def _SetSize(self, pixels = None): |
|---|
| 497 | """ |
|---|
| 498 | This method can be called to force the Plot to be a desired size, which defaults to |
|---|
| 499 | the ClientSize of the panel |
|---|
| 500 | """ |
|---|
| 501 | if not pixels: |
|---|
| 502 | pixels = self.GetClientSize() |
|---|
| 503 | self.canvas.SetSize(pixels) |
|---|
| 504 | self.figure.set_size_inches(pixels[0]/self.figure.get_dpi(), |
|---|
| 505 | pixels[1]/self.figure.get_dpi()) |
|---|
| 506 | |
|---|
| 507 | def draw(self): |
|---|
| 508 | """Where the actual drawing happens""" |
|---|
| 509 | self.figure.canvas.draw_idle() |
|---|
| 510 | |
|---|
| 511 | |
|---|
| 512 | def onSaveImage(self, evt): |
|---|
| 513 | #figure.savefig |
|---|
| 514 | #print "Save image not implemented" |
|---|
| 515 | path = None |
|---|
| 516 | dlg = wx.FileDialog(self, "Choose a file", self._default_save_location, "", "*.png", wx.SAVE) |
|---|
| 517 | if dlg.ShowModal() == wx.ID_OK: |
|---|
| 518 | path = dlg.GetPath() |
|---|
| 519 | self._default_save_location = os.path.dirname(path) |
|---|
| 520 | dlg.Destroy() |
|---|
| 521 | if not path == None: |
|---|
| 522 | self.subplot.figure.savefig(path,dpi=300, facecolor='w', edgecolor='w', |
|---|
| 523 | orentation='portrait', papertype=None, format='png') |
|---|
| 524 | |
|---|
| 525 | def onContextMenu(self, event): |
|---|
| 526 | """ |
|---|
| 527 | Default context menu for a plot panel |
|---|
| 528 | """ |
|---|
| 529 | # Slicer plot popup menu |
|---|
| 530 | id = wx.NewId() |
|---|
| 531 | slicerpop = wx.Menu() |
|---|
| 532 | slicerpop.Append(id,'&Save image', 'Save image as PNG') |
|---|
| 533 | wx.EVT_MENU(self, id, self.onSaveImage) |
|---|
| 534 | |
|---|
| 535 | #id = wx.NewId() |
|---|
| 536 | #slicerpop.Append(id, '&Load 1D data file') |
|---|
| 537 | #wx.EVT_MENU(self, id, self._onLoad1DData) |
|---|
| 538 | |
|---|
| 539 | id = wx.NewId() |
|---|
| 540 | slicerpop.AppendSeparator() |
|---|
| 541 | slicerpop.Append(id, '&Properties') |
|---|
| 542 | wx.EVT_MENU(self, id, self._onProperties) |
|---|
| 543 | |
|---|
| 544 | id = wx.NewId() |
|---|
| 545 | slicerpop.AppendSeparator() |
|---|
| 546 | slicerpop.Append(id, '&Linear Fit') |
|---|
| 547 | wx.EVT_MENU(self, id, self.onFitting) |
|---|
| 548 | |
|---|
| 549 | id = wx.NewId() |
|---|
| 550 | slicerpop.AppendSeparator() |
|---|
| 551 | slicerpop.Append(id, '&Reset Graph') |
|---|
| 552 | wx.EVT_MENU(self, id, self.onResetGraph) |
|---|
| 553 | |
|---|
| 554 | pos = event.GetPosition() |
|---|
| 555 | pos = self.ScreenToClient(pos) |
|---|
| 556 | self.PopupMenu(slicerpop, pos) |
|---|
| 557 | |
|---|
| 558 | ## The following is plottable functionality |
|---|
| 559 | |
|---|
| 560 | |
|---|
| 561 | def properties(self,prop): |
|---|
| 562 | """Set some properties of the graph. |
|---|
| 563 | |
|---|
| 564 | The set of properties is not yet determined. |
|---|
| 565 | """ |
|---|
| 566 | # The particulars of how they are stored and manipulated (e.g., do |
|---|
| 567 | # we want an inventory internally) is not settled. I've used a |
|---|
| 568 | # property dictionary for now. |
|---|
| 569 | # |
|---|
| 570 | # How these properties interact with a user defined style file is |
|---|
| 571 | # even less clear. |
|---|
| 572 | |
|---|
| 573 | # Properties defined by plot |
|---|
| 574 | self.subplot.set_xlabel(r"$%s$" % prop["xlabel"]) |
|---|
| 575 | self.subplot.set_ylabel(r"$%s$" % prop["ylabel"]) |
|---|
| 576 | self.subplot.set_title(prop["title"]) |
|---|
| 577 | |
|---|
| 578 | # Properties defined by user |
|---|
| 579 | #self.axes.grid(True) |
|---|
| 580 | |
|---|
| 581 | def clear(self): |
|---|
| 582 | """Reset the plot""" |
|---|
| 583 | |
|---|
| 584 | # TODO: Redraw is brutal. Render to a backing store and swap in |
|---|
| 585 | # TODO: rather than redrawing on the fly. |
|---|
| 586 | self.subplot.clear() |
|---|
| 587 | self.subplot.hold(True) |
|---|
| 588 | |
|---|
| 589 | def render(self): |
|---|
| 590 | """Commit the plot after all objects are drawn""" |
|---|
| 591 | # TODO: this is when the backing store should be swapped in. |
|---|
| 592 | from matplotlib.font_manager import FontProperties |
|---|
| 593 | self.subplot.legend(prop=FontProperties(size=10)) |
|---|
| 594 | #self.subplot.legend() |
|---|
| 595 | pass |
|---|
| 596 | |
|---|
| 597 | def xaxis(self,label,units): |
|---|
| 598 | """xaxis label and units. |
|---|
| 599 | |
|---|
| 600 | Axis labels know about units. |
|---|
| 601 | |
|---|
| 602 | We need to do this so that we can detect when axes are not |
|---|
| 603 | commesurate. Currently this is ignored other than for formatting |
|---|
| 604 | purposes. |
|---|
| 605 | """ |
|---|
| 606 | if units != "": label = label + " (" + units + ")" |
|---|
| 607 | self.subplot.set_xlabel(label) |
|---|
| 608 | pass |
|---|
| 609 | |
|---|
| 610 | def yaxis(self,label,units): |
|---|
| 611 | """yaxis label and units.""" |
|---|
| 612 | if units != "": label = label + " (" + units + ")" |
|---|
| 613 | self.subplot.set_ylabel(label) |
|---|
| 614 | pass |
|---|
| 615 | |
|---|
| 616 | def _connect_to_xlim(self,callback): |
|---|
| 617 | """Bind the xlim change notification to the callback""" |
|---|
| 618 | def process_xlim(axes): |
|---|
| 619 | lo,hi = subplot.get_xlim() |
|---|
| 620 | callback(lo,hi) |
|---|
| 621 | self.subplot.callbacks.connect('xlim_changed',process_xlim) |
|---|
| 622 | |
|---|
| 623 | #def connect(self,trigger,callback): |
|---|
| 624 | # print "PlotPanel.connect???" |
|---|
| 625 | # if trigger == 'xlim': self._connect_to_xlim(callback) |
|---|
| 626 | |
|---|
| 627 | def interactive_points(self,x,y,dx=None,dy=None,name='', color=0,symbol=0,label=None): |
|---|
| 628 | """Draw markers with error bars""" |
|---|
| 629 | self.subplot.set_yscale('linear') |
|---|
| 630 | self.subplot.set_xscale('linear') |
|---|
| 631 | |
|---|
| 632 | from plottable_interactor import PointInteractor |
|---|
| 633 | p = PointInteractor(self, self.subplot, zorder=3, id=name) |
|---|
| 634 | p.points(x, y, dx=dx, dy=dy, color=color, symbol=symbol, label=label) |
|---|
| 635 | |
|---|
| 636 | self.subplot.set_yscale(self.yscale) |
|---|
| 637 | self.subplot.set_xscale(self.xscale) |
|---|
| 638 | |
|---|
| 639 | def interactive_curve(self,x,y,dy=None,name='',color=0,symbol=0,label=None): |
|---|
| 640 | """Draw markers with error bars""" |
|---|
| 641 | self.subplot.set_yscale('linear') |
|---|
| 642 | self.subplot.set_xscale('linear') |
|---|
| 643 | |
|---|
| 644 | from plottable_interactor import PointInteractor |
|---|
| 645 | p = PointInteractor(self, self.subplot, zorder=4, id=name) |
|---|
| 646 | p.curve(x, y, dy=dy, color=color, symbol=symbol, label=label) |
|---|
| 647 | |
|---|
| 648 | self.subplot.set_yscale(self.yscale) |
|---|
| 649 | self.subplot.set_xscale(self.xscale) |
|---|
| 650 | |
|---|
| 651 | def plottable_selected(self, id): |
|---|
| 652 | """ |
|---|
| 653 | Called to register a plottable as selected |
|---|
| 654 | """ |
|---|
| 655 | #TODO: check that it really is in the list of plottables |
|---|
| 656 | self.graph.selected_plottable = id |
|---|
| 657 | |
|---|
| 658 | def points(self,x,y,dx=None,dy=None,color=0,symbol=0,label=None): |
|---|
| 659 | """Draw markers with error bars""" |
|---|
| 660 | self.subplot.set_yscale('linear') |
|---|
| 661 | self.subplot.set_xscale('linear') |
|---|
| 662 | |
|---|
| 663 | # Convert tuple (lo,hi) to array [(x-lo),(hi-x)] |
|---|
| 664 | if dx != None and type(dx) == type(()): |
|---|
| 665 | dx = nx.vstack((x-dx[0],dx[1]-x)).transpose() |
|---|
| 666 | if dy != None and type(dy) == type(()): |
|---|
| 667 | dy = nx.vstack((y-dy[0],dy[1]-y)).transpose() |
|---|
| 668 | |
|---|
| 669 | if dx==None and dy==None: |
|---|
| 670 | h = self.subplot.plot(x,y,color=self._color(color), |
|---|
| 671 | marker=self._symbol(symbol),linestyle='',label=label) |
|---|
| 672 | else: |
|---|
| 673 | col = self._color(color) |
|---|
| 674 | self.subplot.errorbar(x, y, yerr=dy, xerr=None, |
|---|
| 675 | ecolor=col, capsize=2,linestyle='', barsabove=False, |
|---|
| 676 | mec=col, mfc=col, |
|---|
| 677 | marker=self._symbol(symbol), |
|---|
| 678 | lolims=False, uplims=False, |
|---|
| 679 | xlolims=False, xuplims=False,label=label) |
|---|
| 680 | |
|---|
| 681 | self.subplot.set_yscale(self.yscale) |
|---|
| 682 | self.subplot.set_xscale(self.xscale) |
|---|
| 683 | |
|---|
| 684 | def curve(self,x,y,dy=None,color=0,symbol=0,label=None): |
|---|
| 685 | """Draw a line on a graph, possibly with confidence intervals.""" |
|---|
| 686 | c = self._color(color) |
|---|
| 687 | self.subplot.set_yscale('linear') |
|---|
| 688 | self.subplot.set_xscale('linear') |
|---|
| 689 | |
|---|
| 690 | hlist = self.subplot.plot(x,y,color=c,marker='',linestyle='-',label=label) |
|---|
| 691 | |
|---|
| 692 | self.subplot.set_yscale(self.yscale) |
|---|
| 693 | self.subplot.set_xscale(self.xscale) |
|---|
| 694 | |
|---|
| 695 | def _color(self,c): |
|---|
| 696 | """Return a particular colour""" |
|---|
| 697 | return self.colorlist[c%len(self.colorlist)] |
|---|
| 698 | |
|---|
| 699 | def _symbol(self,s): |
|---|
| 700 | """Return a particular symbol""" |
|---|
| 701 | return self.symbollist[s%len(self.symbollist)] |
|---|
| 702 | |
|---|
| 703 | def _replot(self, remove_fit=False): |
|---|
| 704 | """ |
|---|
| 705 | Rescale the plottables according to the latest |
|---|
| 706 | user selection and update the plot |
|---|
| 707 | |
|---|
| 708 | @param remove_fit: Fit line will be removed if True |
|---|
| 709 | """ |
|---|
| 710 | self.graph.reset_scale() |
|---|
| 711 | self._onEVT_FUNC_PROPERTY(remove_fit=remove_fit) |
|---|
| 712 | |
|---|
| 713 | #TODO: Why do we have to have the following line? |
|---|
| 714 | self.fit_result.reset_view() |
|---|
| 715 | |
|---|
| 716 | self.graph.render(self) |
|---|
| 717 | self.subplot.figure.canvas.draw_idle() |
|---|
| 718 | |
|---|
| 719 | def _onEVT_FUNC_PROPERTY(self, remove_fit=True): |
|---|
| 720 | """ |
|---|
| 721 | Receive the x and y transformation from myDialog,Transforms x and y in View |
|---|
| 722 | and set the scale |
|---|
| 723 | """ |
|---|
| 724 | # The logic should be in the right order |
|---|
| 725 | # Delete first, and then get the whole list... |
|---|
| 726 | if remove_fit: |
|---|
| 727 | self.graph.delete(self.fit_result) |
|---|
| 728 | |
|---|
| 729 | list =[] |
|---|
| 730 | list = self.graph.returnPlottable() |
|---|
| 731 | |
|---|
| 732 | # Changing the scale might be incompatible with |
|---|
| 733 | # currently displayed data (for instance, going |
|---|
| 734 | # from ln to log when all plotted values have |
|---|
| 735 | # negative natural logs). |
|---|
| 736 | # Go linear and only change the scale at the end. |
|---|
| 737 | self.set_xscale("linear") |
|---|
| 738 | self.set_yscale("linear") |
|---|
| 739 | _xscale = 'linear' |
|---|
| 740 | _yscale = 'linear' |
|---|
| 741 | |
|---|
| 742 | |
|---|
| 743 | for item in list: |
|---|
| 744 | print item.name |
|---|
| 745 | item.setLabel(self.xLabel,self.yLabel) |
|---|
| 746 | if ( self.xLabel=="x" ): |
|---|
| 747 | item.transformX(transform.toX,transform.errToX) |
|---|
| 748 | name, units = item.get_xaxis() |
|---|
| 749 | self.graph.xaxis("%s" % name, "%s" % units) |
|---|
| 750 | |
|---|
| 751 | |
|---|
| 752 | if ( self.xLabel=="x^(2)" ): |
|---|
| 753 | item.transformX(transform.toX2,transform.errToX2) |
|---|
| 754 | name, units = item.get_xaxis() |
|---|
| 755 | units=convertUnit(2,units) |
|---|
| 756 | self.graph.xaxis("%s^{2}" % name, "%s" % units) |
|---|
| 757 | |
|---|
| 758 | |
|---|
| 759 | if (self.xLabel=="log10(x)" ): |
|---|
| 760 | item.transformX(transform.toX_pos,transform.errToX_pos) |
|---|
| 761 | _xscale = 'log' |
|---|
| 762 | name, units = item.get_xaxis() |
|---|
| 763 | self.graph.xaxis("\log_{10}\ \ (%s)" % name, "%s" % units) |
|---|
| 764 | |
|---|
| 765 | |
|---|
| 766 | if ( self.yLabel=="ln(y)" ): |
|---|
| 767 | item.transformY(transform.toLogX,transform.errToLogX) |
|---|
| 768 | name, units = item.get_yaxis() |
|---|
| 769 | self.graph.yaxis("\log\ \ %s" % name, "%s" % units) |
|---|
| 770 | |
|---|
| 771 | |
|---|
| 772 | if ( self.yLabel=="y" ): |
|---|
| 773 | item.transformY(transform.toX,transform.errToX) |
|---|
| 774 | name, units = item.get_yaxis() |
|---|
| 775 | self.graph.yaxis("%s" % name, "%s" % units) |
|---|
| 776 | |
|---|
| 777 | |
|---|
| 778 | if ( self.yLabel=="log10(y)" ): |
|---|
| 779 | item.transformY(transform.toX_pos,transform.errToX_pos) |
|---|
| 780 | _yscale = 'log' |
|---|
| 781 | name, units = item.get_yaxis() |
|---|
| 782 | self.graph.yaxis("\log_{10}\ \ (%s)" % name, "%s" % units) |
|---|
| 783 | |
|---|
| 784 | |
|---|
| 785 | if ( self.yLabel=="y^(2)" ): |
|---|
| 786 | item.transformY( transform.toX2,transform.errToX2 ) |
|---|
| 787 | name, units = item.get_yaxis() |
|---|
| 788 | units=convertUnit(2,units) |
|---|
| 789 | self.graph.yaxis("%s^{2}" % name, "%s" % units) |
|---|
| 790 | |
|---|
| 791 | |
|---|
| 792 | if ( self.yLabel =="1/y"): |
|---|
| 793 | item.transformY(transform.toOneOverX,transform.errOneOverX ) |
|---|
| 794 | name, units = item.get_yaxis() |
|---|
| 795 | units=convertUnit(-1,units) |
|---|
| 796 | self.graph.yaxis("1/%s" % name, "%s" % units) |
|---|
| 797 | |
|---|
| 798 | if ( self.yLabel =="1/sqrt(y)" ): |
|---|
| 799 | item.transformY(transform.toOneOverSqrtX,transform.errOneOverSqrtX ) |
|---|
| 800 | name, units = item.get_yaxis() |
|---|
| 801 | units=convertUnit(-0.5,units) |
|---|
| 802 | self.graph.yaxis("1/\sqrt{%s}" %name, "%s" % units) |
|---|
| 803 | |
|---|
| 804 | if ( self.yLabel =="ln(y*x)"): |
|---|
| 805 | item.transformY( transform.toLogXY,transform.errToLogXY) |
|---|
| 806 | yname, yunits = item.get_yaxis() |
|---|
| 807 | xname, xunits = item.get_xaxis() |
|---|
| 808 | self.graph.yaxis("\log\ (%s \ \ %s)" % (yname,xname), "%s%s" % (yunits,xunits)) |
|---|
| 809 | |
|---|
| 810 | |
|---|
| 811 | if ( self.yLabel =="ln(y*x^(2))"): |
|---|
| 812 | item.transformY( transform.toLogYX2,transform.errToLogYX2) |
|---|
| 813 | yname, yunits = item.get_yaxis() |
|---|
| 814 | xname, xunits = item.get_xaxis() |
|---|
| 815 | xunits = convertUnit(2,xunits) |
|---|
| 816 | self.graph.yaxis("\log (%s \ \ %s^{2})" % (yname,xname), "%s%s" % (yunits,xunits)) |
|---|
| 817 | |
|---|
| 818 | |
|---|
| 819 | if ( self.yLabel =="ln(y*x^(4))"): |
|---|
| 820 | item.transformY(transform.toLogYX4,transform.errToLogYX4) |
|---|
| 821 | yname, yunits = item.get_yaxis() |
|---|
| 822 | xname, xunits = item.get_xaxis() |
|---|
| 823 | xunits = convertUnit(4,xunits) |
|---|
| 824 | self.graph.yaxis("\log (%s \ \ %s^{4})" % (yname,xname), "%s%s" % (yunits,xunits)) |
|---|
| 825 | |
|---|
| 826 | if ( self.viewModel == "Guinier lny vs x^(2)"): |
|---|
| 827 | |
|---|
| 828 | item.transformX(transform.toX2,transform.errToX2) |
|---|
| 829 | name, units = item.get_xaxis() |
|---|
| 830 | units = convertUnit(2,units) |
|---|
| 831 | self.graph.xaxis("%s^{2}" % name, "%s" % units) |
|---|
| 832 | |
|---|
| 833 | |
|---|
| 834 | item.transformY(transform.toLogX,transform.errToLogX ) |
|---|
| 835 | name, units = item.get_yaxis() |
|---|
| 836 | self.graph.yaxis("\log\ \ %s" % name, "%s" % units) |
|---|
| 837 | |
|---|
| 838 | |
|---|
| 839 | item.transformView() |
|---|
| 840 | |
|---|
| 841 | self.resetFitView() |
|---|
| 842 | self.prevXtrans = self.xLabel |
|---|
| 843 | self.prevYtrans = self.yLabel |
|---|
| 844 | self.graph.render(self) |
|---|
| 845 | |
|---|
| 846 | self.set_xscale(_xscale) |
|---|
| 847 | self.set_yscale(_yscale) |
|---|
| 848 | |
|---|
| 849 | self.subplot.figure.canvas.draw_idle() |
|---|
| 850 | |
|---|
| 851 | |
|---|
| 852 | |
|---|
| 853 | def onFitDisplay(self, tempx,tempy,xminView,xmaxView,xmin,xmax,func): |
|---|
| 854 | """ |
|---|
| 855 | Add a new plottable into the graph .In this case this plottable will be used |
|---|
| 856 | to fit some data |
|---|
| 857 | @param tempx: The x data of fit line |
|---|
| 858 | @param tempy: The y data of fit line |
|---|
| 859 | @param xminView: the lower bound of fitting range |
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| 860 | @param xminView: the upper bound of fitting range |
|---|
| 861 | @param xmin: the lowest value of data to fit to the line |
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| 862 | @param xmax: the highest value of data to fit to the line |
|---|
| 863 | """ |
|---|
| 864 | # Saving value to redisplay in Fit Dialog when it is opened again |
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| 865 | self.Avalue,self.Bvalue,self.ErrAvalue,self.ErrBvalue,self.Chivalue=func |
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| 866 | self.xminView=xminView |
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| 867 | self.xmaxView=xmaxView |
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| 868 | self.xmin= xmin |
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| 869 | self.xmax= xmax |
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| 870 | #In case need to change the range of data plotted |
|---|
| 871 | list =[] |
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| 872 | list = self.graph.returnPlottable() |
|---|
| 873 | for item in list: |
|---|
| 874 | #item.onFitRange(xminView,xmaxView) |
|---|
| 875 | item.onFitRange(None,None) |
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| 876 | |
|---|
| 877 | # Create new data plottable with result |
|---|
| 878 | self.fit_result.x =[] |
|---|
| 879 | self.fit_result.y =[] |
|---|
| 880 | self.fit_result.x =tempx |
|---|
| 881 | self.fit_result.y =tempy |
|---|
| 882 | self.fit_result.dx=None |
|---|
| 883 | self.fit_result.dy=None |
|---|
| 884 | #Load the view with the new values |
|---|
| 885 | self.fit_result.reset_view() |
|---|
| 886 | # Add the new plottable to the graph |
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| 887 | self.graph.add(self.fit_result) |
|---|
| 888 | self.graph.render(self) |
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| 889 | self._offset_graph() |
|---|
| 890 | self.subplot.figure.canvas.draw_idle() |
|---|
| 891 | |
|---|
| 892 | |
|---|
| 893 | def onResetGraph(self,event): |
|---|
| 894 | """ |
|---|
| 895 | Reset the graph by plotting the full range of data |
|---|
| 896 | """ |
|---|
| 897 | list =[] |
|---|
| 898 | list = self.graph.returnPlottable() |
|---|
| 899 | for item in list: |
|---|
| 900 | item.onReset() |
|---|
| 901 | self.graph.render(self) |
|---|
| 902 | self.subplot.figure.canvas.draw_idle() |
|---|
| 903 | |
|---|
| 904 | class NoRepaintCanvas(FigureCanvasWxAgg): |
|---|
| 905 | """We subclass FigureCanvasWxAgg, overriding the _onPaint method, so that |
|---|
| 906 | the draw method is only called for the first two paint events. After that, |
|---|
| 907 | the canvas will only be redrawn when it is resized. |
|---|
| 908 | """ |
|---|
| 909 | def __init__(self, *args, **kwargs): |
|---|
| 910 | FigureCanvasWxAgg.__init__(self, *args, **kwargs) |
|---|
| 911 | self._drawn = 0 |
|---|
| 912 | |
|---|
| 913 | def _onPaint(self, evt): |
|---|
| 914 | """ |
|---|
| 915 | Called when wxPaintEvt is generated |
|---|
| 916 | """ |
|---|
| 917 | if not self._isRealized: |
|---|
| 918 | self.realize() |
|---|
| 919 | if self._drawn < 2: |
|---|
| 920 | self.draw(repaint = False) |
|---|
| 921 | self._drawn += 1 |
|---|
| 922 | self.gui_repaint(drawDC=wx.PaintDC(self)) |
|---|
| 923 | |
|---|
