[82a54b8] | 1 | """ |
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| 2 | Test application that uses plottools |
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| 3 | This application uses most of the functionality required by the SANS group |
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| 4 | and should be treated as a test-case representative of that use. |
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| 5 | |
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| 6 | The following is a checklist of functionality to look for while testing: |
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| 7 | |
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| 8 | 1- Start the application: the graph should be empty with a white background. |
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| 9 | The status bar should read "This is a data viewer". |
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| 10 | 2- From the "File" menu, click "Add data": Three data sets should be plotted: |
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| 11 | - A line called Theory curve, in blue. |
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| 12 | - A series of green points with errors above that line, called Data set 1. |
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| 13 | - A series of red points with errors below that line, called Data set 2. |
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| 14 | 3- Hovering over any plotted data will highlight the whole data set or line in yellow. |
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| 15 | 4- Left-clicking on the graph and dragging will drag the graph. |
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| 16 | 5- Using the mouse wheel will zoom in and out of the graph. |
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| 17 | 6- Right-clicking on the graph when no curve is highlighted will |
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| 18 | pop up the context menu: |
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| 19 | - "Save image" will pop up a save dialog to save an image. |
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| 20 | - "Reset graph" will reset the graph to its original appearance after it |
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| 21 | has been dragged around or zoomed in or out. |
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| 22 | - "Change scale" will pop up a scale dialog with which the axes can |
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| 23 | be transformed. Each transformation choice should work. |
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| 24 | 7- Right-clicking on the graph when a curve is highlighted will |
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| 25 | pop up the context menu describe above, to which an item called |
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| 26 | "Linear fit to [name of the data set]" is added. |
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| 27 | |
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| 28 | Selecting a linear fit to data sets 1 or 2 will pop up a fit dialog. |
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| 29 | After fitting, the fit result will appear will be shown in the dialog |
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| 30 | and the fit curve will appear on the plot and should follow the data. |
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| 31 | |
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| 32 | It is possible to interact with the graph when the fit dialog is up. |
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| 33 | |
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| 34 | Selecting a linear fit to the theory curve will produce a message |
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| 35 | on the status bar saying: "Can't fit a theory curve" |
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| 36 | |
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| 37 | """ |
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| 38 | import wx |
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| 39 | from danse.common.plottools.PlotPanel import PlotPanel |
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| 40 | from danse.common.plottools.plottables import Plottable, Graph, Data1D, Theory1D |
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| 41 | import sys |
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| 42 | import numpy |
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| 43 | import random, math |
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| 44 | |
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| 45 | |
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| 46 | class SANSplotpanel(PlotPanel): |
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| 47 | |
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| 48 | def __init__(self, parent, id = -1, color = None,\ |
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| 49 | dpi = None, **kwargs): |
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| 50 | PlotPanel.__init__(self, parent, id=id, color=color, dpi=dpi, **kwargs) |
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| 51 | |
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| 52 | # Keep track of the parent Frame |
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| 53 | self.parent = parent |
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| 54 | |
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| 55 | # Internal list of plottable names (because graph |
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| 56 | # doesn't have a dictionary of handles for the plottables) |
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| 57 | self.plots = {} |
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| 58 | |
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| 59 | def add_plottable(self, plot): |
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| 60 | self.plots[plot.name] = plot |
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| 61 | |
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| 62 | self.graph.add(plot) |
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| 63 | self.graph.xaxis('\\rm{q} ', 'A^{-1}') |
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| 64 | self.graph.yaxis("\\rm{Intensity} ","cm^{-1}") |
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| 65 | self.onResetGraph(None) |
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| 66 | |
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| 67 | def plottable_selected(self, id): |
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| 68 | PlotPanel.plottable_selected(self, id) |
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| 69 | if id is not None: |
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| 70 | self.parent.SetStatusText("Hovering over %s" % self.graph.selected_plottable) |
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| 71 | else: |
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| 72 | self.parent.SetStatusText("") |
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| 73 | |
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| 74 | |
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| 75 | |
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| 76 | def onFitting(self, event): |
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| 77 | if self.graph.selected_plottable is not None: |
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| 78 | if self.plots[self.graph.selected_plottable].__class__.__name__ == 'Data1D': |
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| 79 | PlotPanel.onFitting(self, event) |
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| 80 | else: |
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| 81 | self.parent.SetStatusText("Can't fit a theory curve") |
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| 82 | |
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| 83 | class ViewerFrame(wx.Frame): |
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| 84 | """ |
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| 85 | Add comment |
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| 86 | """ |
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| 87 | def __init__(self, parent, id, title): |
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| 88 | """ |
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| 89 | comment |
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| 90 | @param parent: parent panel/container |
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| 91 | """ |
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| 92 | # Initialize the Frame object |
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| 93 | wx.Frame.__init__(self, parent, id, title, wx.DefaultPosition, wx.Size(950,850)) |
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| 94 | |
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| 95 | # Panel for 1D plot |
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| 96 | self.plotpanel = SANSplotpanel(self, -1, style=wx.RAISED_BORDER) |
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| 97 | |
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| 98 | # Set up the menu |
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| 99 | self._setup_menus() |
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| 100 | |
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| 101 | # Set up the layout |
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| 102 | self._setup_layout() |
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| 103 | |
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| 104 | # Register the close event so it calls our own method |
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| 105 | wx.EVT_CLOSE(self, self._onClose) |
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| 106 | |
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| 107 | |
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| 108 | def _setup_layout(self): |
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| 109 | """ |
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| 110 | Set up the layout |
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| 111 | """ |
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| 112 | # Status bar |
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| 113 | self.sb = self.CreateStatusBar() |
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| 114 | self.SetStatusText("This is a data viewer") |
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| 115 | |
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| 116 | # Two columns of panels |
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| 117 | sizer = wx.GridBagSizer(0,0) |
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| 118 | |
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| 119 | sizer.Add(self.plotpanel, (0,0), (1,1), flag=wx.EXPAND | wx.ALL, border=0) |
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| 120 | sizer.AddGrowableRow(0) |
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| 121 | sizer.AddGrowableCol(0) |
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| 122 | |
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| 123 | self.SetSizer(sizer) |
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| 124 | self.Centre() |
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| 125 | |
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| 126 | def _setup_menus(self): |
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| 127 | """ |
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| 128 | Set up the application menus |
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| 129 | """ |
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| 130 | |
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| 131 | # Menu |
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| 132 | menubar = wx.MenuBar() |
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| 133 | # File menu |
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| 134 | filemenu = wx.Menu() |
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| 135 | |
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| 136 | # Quit |
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| 137 | id = wx.NewId() |
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| 138 | filemenu.Append(id,'&Quit', 'Exit') |
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| 139 | wx.EVT_MENU(self, id, self._onClose) |
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| 140 | |
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| 141 | # New plot |
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| 142 | id = wx.NewId() |
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| 143 | filemenu.Append(id,'&Add data', 'Add a new curve to the plot') |
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| 144 | wx.EVT_MENU(self, id, self._add_data) |
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| 145 | |
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| 146 | # Add sub menus |
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| 147 | menubar.Append(filemenu, '&File') |
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| 148 | |
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| 149 | self.SetMenuBar(menubar) |
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| 150 | |
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| 151 | def _onClose(self, event): |
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| 152 | """ |
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| 153 | """ |
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| 154 | wx.Exit() |
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| 155 | sys.exit() |
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| 156 | |
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| 157 | def _add_data(self, event): |
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| 158 | data_len = 50 |
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| 159 | x = numpy.zeros(data_len) |
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| 160 | y = numpy.zeros(data_len) |
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| 161 | x2 = numpy.zeros(data_len) |
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| 162 | y2 = numpy.zeros(data_len) |
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| 163 | dy2 = numpy.zeros(data_len) |
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| 164 | x3 = numpy.zeros(data_len) |
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| 165 | y3 = numpy.zeros(data_len) |
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| 166 | dy3 = numpy.zeros(data_len) |
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| 167 | for i in range(len(x)): |
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| 168 | x[i] = i |
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| 169 | x2[i] = i-0.1+0.2*random.random() |
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| 170 | x3[i] = i-0.1+0.2*random.random() |
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| 171 | y[i] = 0.5*(i+random.random()) |
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| 172 | y2[i] = i+random.random() |
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| 173 | dy2[i] = math.sqrt(y2[i]) |
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| 174 | y3[i] = 0.3*(i+random.random()) |
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| 175 | dy3[i] = math.sqrt(y3[i]) |
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| 176 | |
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| 177 | newplot = Data1D(x=x, y=y) |
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| 178 | newplot.name = "Theory curve" |
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| 179 | newplot.symbol = 13 |
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| 180 | self.plotpanel.add_plottable(newplot) |
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| 181 | |
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| 182 | |
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| 183 | newplot = Data1D(x=x2, y=y2, dy=dy2) |
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| 184 | newplot.name = "Data set 1" |
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| 185 | self.plotpanel.add_plottable(newplot) |
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| 186 | |
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| 187 | newplot = Data1D(x=x3, y=y3, dy=dy3) |
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| 188 | newplot.name = "Data set 2" |
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| 189 | self.plotpanel.add_plottable(newplot) |
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| 190 | |
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| 191 | |
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| 192 | class ViewApp(wx.App): |
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| 193 | def OnInit(self): |
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| 194 | frame = ViewerFrame(None, -1, 'testView') |
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| 195 | frame.Show(True) |
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| 196 | self.SetTopWindow(frame) |
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| 197 | |
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| 198 | return True |
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| 199 | |
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| 200 | |
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| 201 | if __name__ == "__main__": |
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| 202 | app = ViewApp(0) |
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| 203 | app.MainLoop() |
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| 204 | |
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