1 | #!/usr/bin/env python |
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2 | |
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3 | import sys |
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4 | import os |
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5 | import matplotlib |
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6 | matplotlib.use('GTK') |
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7 | |
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8 | from matplotlib.figure import Figure |
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9 | from matplotlib.axes import Subplot |
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10 | from matplotlib.backends.backend_gtk import FigureCanvasGTK, NavigationToolbar |
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11 | |
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12 | import usans |
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13 | |
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14 | try: |
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15 | import pygtk |
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16 | pygtk.require("2.0") |
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17 | |
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18 | except: |
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19 | pass |
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20 | |
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21 | try: |
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22 | import gtk |
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23 | import gtk.glade |
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24 | except: |
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25 | sys.exit(1) |
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26 | |
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27 | |
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28 | |
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29 | class appGui: |
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30 | |
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31 | TARGETS = [('STRING', gtk.TARGET_SAME_APP, 0)] |
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32 | |
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33 | def __init__(self): |
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34 | |
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35 | gladefile = "bt5plot2.glade" |
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36 | self.windowname = "win_Main" |
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37 | self.wTree = gtk.glade.XML(gladefile, self.windowname) |
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38 | |
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39 | event_dic = {"on_win_Main_destroy" : gtk.main_quit, |
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40 | "on_quit1_activate" : gtk.main_quit, |
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41 | "on_set_data_dir1_activate" : self.setdatadir, |
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42 | "on_xaxis_loglin_activate" : self.handle_xaxis_loglin, |
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43 | "on_yaxis_loglin_activate" : self.handle_yaxis_loglin, |
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44 | "on_plot_type_activate" : self.handle_plot_type_change} |
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45 | # "on_tv_plotlist_key_press_event" : self.handle_plotlist_keypress} |
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46 | |
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47 | #This is a bit clunky, but never mind. |
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48 | #Set default plottype to rate. Glade definition sets that as default active button in menu |
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49 | self.plottype = 'rate' |
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50 | |
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51 | self.wTree.signal_autoconnect(event_dic) |
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52 | |
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53 | # Set up file list |
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54 | self.filelistview = self.wTree.get_widget("tv_filelist") |
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55 | |
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56 | self.filelist = gtk.ListStore(str, 'gboolean', object, object, object) |
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57 | self.filelist.set_sort_column_id(0, gtk.SORT_ASCENDING) |
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58 | self.filelistview.set_model(self.filelist) |
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59 | |
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60 | self.cellrenderertoggle = gtk.CellRendererToggle() |
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61 | self.cellrenderertoggle.set_property('activatable', True) |
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62 | self.cellrenderertoggle.connect("toggled", self.handle_plot_toggle, self.filelist) |
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63 | |
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64 | self.AddFileListColumns() |
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65 | |
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66 | #fill the file list |
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67 | self.FillFileList(self.GetDirList()) |
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68 | |
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69 | # Set up graphing widget to display xpeek data |
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70 | self.figure = Figure(figsize=(4, 4), dpi=72) |
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71 | self.axis = self.figure.add_subplot(111) |
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72 | self.axis.set_yscale('log') |
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73 | self.axis.set_aspect('auto') |
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74 | self.axis.set_autoscale_on('True') |
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75 | self.axis.set_xlabel('Motor position') |
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76 | self.axis.set_ylabel('Counts') |
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77 | self.axis.grid(True) |
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78 | |
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79 | self.canvas = FigureCanvasGTK(self.figure) |
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80 | self.canvas.show() |
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81 | |
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82 | self.plotView = self.wTree.get_widget("hbox1") |
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83 | self.plotView.pack_start(self.canvas, True, True) |
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84 | |
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85 | #self.filelistview.enable_model_drag_source( gtk.gdk.BUTTON1_MASK, |
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86 | # self.TARGETS, |
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87 | # gtk.gdk.ACTION_COPY) |
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88 | |
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89 | #self.filelistview.connect("drag_data_get", self.dnd_data_getdata) |
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90 | |
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91 | |
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92 | def AddFileListColumns(self): |
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93 | """This function adds a column to the list view. |
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94 | First it create the gtk.TreeViewColumn and then set |
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95 | some needed properties""" |
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96 | |
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97 | column = gtk.TreeViewColumn('Filename', gtk.CellRendererText() |
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98 | , text=0) |
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99 | column.set_resizable(True) |
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100 | column.set_sort_column_id(0) |
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101 | self.filelistview.append_column(column) |
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102 | |
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103 | column = gtk.TreeViewColumn('', self.cellrenderertoggle, active=1) |
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104 | self.filelistview.append_column(column) |
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105 | return |
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106 | |
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107 | def GetDirList(self): |
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108 | dirlist = os.listdir(os.getcwd()) |
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109 | |
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110 | bt5list = [ x for x in dirlist if x.find('.bt5') > 0] |
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111 | |
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112 | return bt5list |
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113 | |
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114 | |
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115 | def FillFileList(self, filenames): |
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116 | self.filelist.clear() |
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117 | for filename in filenames: |
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118 | data,metadata = usans.getBT5DataFromFile(filename) |
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119 | self.filelist.append([filename, 0, (data,metadata), 0, 0]) |
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120 | return |
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121 | |
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122 | |
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123 | def setdatadir(self, widget): |
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124 | chooser = gtk.FileChooserDialog(title="Select Data Directory", action=gtk.FILE_CHOOSER_ACTION_SELECT_FOLDER, |
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125 | buttons=(gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL, gtk.STOCK_OPEN, gtk.RESPONSE_OK)) |
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126 | chooser.set_default_response(gtk.RESPONSE_OK) |
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127 | chooser.set_current_folder(os.getcwd()) |
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128 | response = chooser.run() |
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129 | if response == gtk.RESPONSE_OK: |
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130 | os.chdir(chooser.get_filename()) |
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131 | self.FillFileList(self.GetDirList()) |
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132 | chooser.destroy() |
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133 | |
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134 | def handle_plot_toggle(self, cell, path, model): |
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135 | model[path][1] = not model[path][1] |
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136 | |
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137 | if model[path][1]: |
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138 | #add plot |
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139 | self.add_plot(model, path) |
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140 | else: |
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141 | #remove plot |
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142 | self.remove_plot(model, path) |
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143 | return |
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144 | |
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145 | def add_plot(self, model, path): |
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146 | |
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147 | self.make_plottable_dataset(model, path, self.plottype) |
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148 | |
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149 | if self.plottype == 'split': |
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150 | model[path][4] = self.axis.plot(model[path][3][0],model[path][3][1], 'o', |
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151 | model[path][3][0],model[path][3][2], 'o', |
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152 | model[path][3][0],model[path][3][3], 'o', |
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153 | model[path][3][0],model[path][3][4], 'o', |
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154 | model[path][3][0],model[path][3][5], 'o') |
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155 | else: |
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156 | model[path][4] = self.axis.plot(model[path][3][0],model[path][3][1], 'bo') |
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157 | |
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158 | self.axis.autoscale_view() |
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159 | self.canvas.draw() |
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160 | return |
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161 | |
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162 | def make_plottable_dataset(self, model, path, type): |
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163 | |
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164 | data,metadata = model[path][2] |
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165 | |
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166 | if type == 'total': |
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167 | #generate totals |
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168 | xdata = [] |
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169 | ydata = [] |
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170 | |
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171 | mvals = data.keys() |
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172 | mvals.sort(usans.numeric_compare) |
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173 | for mval in mvals: |
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174 | xdata.append(mval) |
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175 | ydata.append(data[mval][1] + data[mval][2] + data[mval][4] + data[mval][5] + data[mval][6]) |
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176 | |
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177 | model[path][3] = [xdata, ydata] |
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178 | |
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179 | elif type == 'rate': |
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180 | # generate countrate |
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181 | xdata = [] |
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182 | ydata = [] |
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183 | |
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184 | mvals = data.keys() |
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185 | mvals.sort(usans.numeric_compare) |
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186 | for mval in mvals: |
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187 | xdata.append(mval) |
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188 | |
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189 | if metadata['base'] == 'TIME': |
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190 | #Counting in TIME base, so normalize by seconds |
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191 | cnttime = metadata['mon'] |
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192 | for mval in mvals: |
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193 | ydata.append((data[mval][1] + data[mval][2] + data[mval][4] + data[mval][5] + data[mval][6])/cnttime) |
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194 | else: |
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195 | #Must be counting in monitor base so normalize by monitor |
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196 | moncts = metadata['mon'] |
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197 | for mval in mvals: |
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198 | ydata.append((data[mval][1] + data[mval][2] + data[mval][4] + data[mval][5] + data[mval][6])/cnttime) |
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199 | |
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200 | model[path][3] = [xdata, ydata] |
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201 | |
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202 | elif type == 'trans': |
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203 | xdata = [] |
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204 | ydata = [] |
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205 | |
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206 | mvals = data.keys() |
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207 | mvals.sort(usans.numeric_compare) |
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208 | for mval in mvals: |
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209 | xdata.append(mval) |
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210 | ydata.append(data[mval][3]) |
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211 | |
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212 | model[path][3] = [xdata, ydata] |
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213 | |
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214 | elif type == 'mon': |
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215 | xdata = [] |
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216 | ydata = [] |
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217 | |
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218 | mvals = data.keys() |
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219 | mvals.sort(usans.numeric_compare) |
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220 | for mval in mvals: |
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221 | xdata.append(mval) |
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222 | ydata.append(data[mval][0]) |
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223 | |
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224 | model[path][3] = [xdata, ydata] |
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225 | |
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226 | elif type == 'split': |
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227 | xdata = [] |
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228 | ydata1 = [] |
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229 | ydata2 = [] |
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230 | ydata3 = [] |
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231 | ydata4 = [] |
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232 | ydata5 = [] |
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233 | |
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234 | mvals = data.keys() |
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235 | mvals.sort(usans.numeric_compare) |
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236 | for mval in mvals: |
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237 | xdata.append(mval) |
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238 | ydata1.append(data[mval][1]) |
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239 | ydata2.append(data[mval][2]) |
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240 | ydata3.append(data[mval][4]) |
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241 | ydata4.append(data[mval][5]) |
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242 | ydata5.append(data[mval][6]) |
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243 | |
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244 | model[path][3] = [xdata,ydata1,ydata2,ydata3,ydata4,ydata5] |
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245 | else: |
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246 | pass |
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247 | |
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248 | return |
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249 | |
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250 | def remove_plot(self, model, path): |
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251 | |
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252 | for line in model[path][4]: |
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253 | self.axis.lines.remove(line) |
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254 | |
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255 | self.axis.autoscale_view() |
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256 | self.canvas.draw() |
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257 | return |
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258 | |
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259 | def handle_xaxis_loglin(self, widget): |
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260 | |
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261 | |
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262 | if (self.axis.get_xscale() == "log"): |
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263 | self.axis.set_xscale('linear') |
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264 | else: |
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265 | self.axis.set_xscale('log') |
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266 | |
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267 | self.axis.autoscale_view() |
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268 | |
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269 | self.canvas.draw() |
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270 | |
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271 | return |
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272 | |
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273 | def handle_yaxis_loglin(self, widget): |
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274 | |
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275 | |
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276 | if (self.axis.get_yscale() == "log"): |
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277 | self.axis.set_yscale('linear') |
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278 | else: |
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279 | self.axis.set_yscale('log') |
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280 | |
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281 | self.axis.autoscale_view() |
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282 | self.canvas.draw() |
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283 | return |
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284 | |
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285 | def handle_plot_type_change(self,widget): |
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286 | |
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287 | if widget.get_active(): |
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288 | self.plottype = widget.get_name().split('_')[1] |
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289 | print self.plottype |
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290 | |
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291 | return |
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292 | |
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293 | |
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294 | app = appGui() |
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295 | gtk.main() |
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