def display(self, workspace, figure):
     images = workspace.display_data.images
     names = workspace.display_data.names
     stats = workspace.display_data.stats
     figure.set_subplots((1, len(images)))
     figure.figure.clf()
     nimages = len(images)
     shrink = .05
     for i in range(len(images)):
         rect = [shrink + float(i)/float(nimages),
                 .5+shrink,
                 (1.0-2*shrink)/float(nimages),
                 .45*(1.0-2*shrink)]
         axes = figure.figure.add_axes(rect)
         axes.imshow(images[i], matplotlib.cm.Greys_r)
         axes.set_title(names[i],
                        fontname=cpprefs.get_title_font_name(),
                        fontsize=cpprefs.get_title_font_size())
     rect = [0.1,.1,.8,.35]
     axes = figure.figure.add_axes(rect, frameon = False)
     table = axes.table(cellText=stats,
                        colWidths=[1.0/7.0]*7,
                        loc='center',
                        cellLoc='left')
     axes.set_axis_off()
     table.auto_set_font_size(False)
     table.set_fontsize(cpprefs.get_table_font_size())
Пример #2
0
 def run(self, workspace):
     stats = [("Image", "Objects", "Bin # (innermost=1)", "Bin count",
               "Fraction", "Intensity", "COV")]
     d = {}
     for image in self.images:
         for o in self.objects:
             for bin_count_settings in self.bin_counts:
                 stats += \
                 self.do_measurements(workspace,
                                      image.image_name.value,
                                      o.object_name.value,
                                      o.center_object_name.value
                                      if o.center_choice == C_OTHER
                                      else None,
                                      bin_count_settings,
                                      d)
     if workspace.frame is not None:
         images = [d[key][0] for key in d.keys()]
         names = d.keys()
         figure = workspace.create_or_find_figure(
             title="MeasureObjectRadialDistribution, image cycle #%d" %
             (workspace.measurements.image_set_number),
             subplots=(1, len(images)))
         figure.figure.clf()
         nimages = len(images)
         shrink = .05
         for i in range(len(images)):
             rect = [
                 shrink + float(i) / float(nimages), .5 + shrink,
                 (1.0 - 2 * shrink) / float(nimages),
                 .45 * (1.0 - 2 * shrink)
             ]
             axes = figure.figure.add_axes(rect)
             axes.imshow(images[i], matplotlib.cm.Greys_r)
             axes.set_title(names[i],
                            fontname=cpprefs.get_title_font_name(),
                            fontsize=cpprefs.get_title_font_size())
         rect = [0.1, .1, .8, .35]
         axes = figure.figure.add_axes(rect, frameon=False)
         table = axes.table(cellText=stats,
                            colWidths=[1.0 / 7.0] * 7,
                            loc='center',
                            cellLoc='left')
         axes.set_axis_off()
         table.auto_set_font_size(False)
         table.set_fontsize(cpprefs.get_table_font_size())
 def run(self, workspace):
     stats = [("Image","Objects","Bin # (innermost=1)","Bin count","Fraction","Intensity","COV")]
     d = {}
     for image in self.images:
         for o in self.objects:
             for bin_count_settings in self.bin_counts:
                 stats += \
                 self.do_measurements(workspace,
                                      image.image_name.value,
                                      o.object_name.value,
                                      o.center_object_name.value
                                      if o.center_choice != C_SELF
                                      else None,
                                      o.center_choice.value,
                                      bin_count_settings,
                                      d)
     if workspace.frame is not None:
         images = [d[key][0] for key in d.keys()]
         names = d.keys()
         figure = workspace.create_or_find_figure(title="MeasureObjectRadialDistribution, image cycle #%d"%(
             workspace.measurements.image_set_number),subplots=(1,len(images)))
         figure.figure.clf()
         nimages = len(images)
         shrink = .05
         for i in range(len(images)):
             rect = [shrink + float(i)/float(nimages),
                     .5+shrink,
                     (1.0-2*shrink)/float(nimages),
                     .45*(1.0-2*shrink)]
             axes = figure.figure.add_axes(rect)
             axes.imshow(images[i], matplotlib.cm.Greys_r)
             axes.set_title(names[i],
                            fontname=cpprefs.get_title_font_name(),
                            fontsize=cpprefs.get_title_font_size())
         rect = [0.1,.1,.8,.35]
         axes = figure.figure.add_axes(rect, frameon = False)
         table = axes.table(cellText=stats,
                            colWidths=[1.0/7.0]*7,
                            loc='center',
                            cellLoc='left')
         axes.set_axis_off()
         table.auto_set_font_size(False)
         table.set_fontsize(cpprefs.get_table_font_size())
Пример #4
0
 def get_table_font(self):
     return "%s,%f" % (cpprefs.get_table_font_name(),
                       cpprefs.get_table_font_size())
Пример #5
0
 def get_table_font(self):
     return "%s,%f"%(cpprefs.get_table_font_name(),
                      cpprefs.get_table_font_size())