X-Git-Url: http://iramuteq.org/git?p=iramuteq;a=blobdiff_plain;f=layout.py;h=0d4cac8d4f4a8439769d0946f91e26f9b8d4429b;hp=f22ef5f4d1c72dd79ad19abd4ef569429f1505f1;hb=8707b110009cd64ed7b74e487f2e66335aa13778;hpb=9b78e6210e7fc88a7e77d178c4090aabb23580d9 diff --git a/layout.py b/layout.py index f22ef5f..0d4cac8 100644 --- a/layout.py +++ b/layout.py @@ -548,7 +548,7 @@ class OpenCHDS(): dial.Destroy() self.corpus.get_stat_by_cluster(fileout) msg = u"Fini !" - dlg = wx.MessageDialog(self.parent, msg, _(u"Stat by cluster").decode('utf8'), wx.OK | wx.NO_DEFAULT | wx.ICON_INFORMATION) + dlg = wx.MessageDialog(self.parent, msg, _(u"Stat by cluster").decode('utf8'), wx.OK | wx.ICON_INFORMATION) dlg.CenterOnParent() if dlg.ShowModal() == wx.ID_OK : dlg.Destroy() @@ -569,33 +569,33 @@ def PrintRapport(self, corpus, parametres, istxt = True): """ % datetime.datetime.now().ctime() if istxt : totocc = corpus.gettotocc() - txt += ': '.join([_(u'Number of texts'), u'%i%s' % (corpus.getucinb(), sep)]) - txt += ': '.join([_(u'Number of text segments'), '%i%s' % (corpus.getucenb(), sep)]) - txt += ': '.join([_(u'Number of forms'), '%i%s' % (len(corpus.formes), sep)]) - txt += ': '.join([_(u'Number of occurrences'), '%i%s' % (totocc, sep)]) + txt += ': '.join([_(u'Number of texts').decode('utf8'), u'%i%s' % (corpus.getucinb(), sep)]) + txt += ': '.join([_(u'Number of text segments').decode('utf8'), '%i%s' % (corpus.getucenb(), sep)]) + txt += ': '.join([_(u'Number of forms').decode('utf8'), '%i%s' % (len(corpus.formes), sep)]) + txt += ': '.join([_(u'Number of occurrences').decode('utf8'), '%i%s' % (totocc, sep)]) #txt += u'moyenne d\'occurrences par forme: %f%s' % (float(totocc) / float(len(self.corpus.formes)), sep) - txt += ': '.join([_(u'Number of lemmas'), '%i%s' % (len(corpus.lems), sep)]) - txt += ': '.join([_(u'Number of active forms'), '%i%s' % (corpus.getactivesnb(1), sep)]) - txt += ': '.join([_(u'Number of supplementary forms'), '%i%s' % (corpus.getactivesnb(2), sep)]) - txt += ' >= '.join([_(u'Number of active forms with a frequency'), '%i: %i%s' % (parametres['eff_min_forme'], parametres['nbactives'], sep)]) - txt += ': '.join([_(u'Mean of forms by segment'), '%f%s' % (float(totocc) / float(corpus.getucenb()), sep)]) + txt += ': '.join([_(u'Number of lemmas').decode('utf8'), '%i%s' % (len(corpus.lems), sep)]) + txt += ': '.join([_(u'Number of active forms').decode('utf8'), '%i%s' % (corpus.getactivesnb(1), sep)]) + txt += ': '.join([_(u'Number of supplementary forms').decode('utf8'), '%i%s' % (corpus.getactivesnb(2), sep)]) + txt += ' >= '.join([_(u'Number of active forms with a frequency').decode('utf8'), '%i: %i%s' % (parametres['eff_min_forme'], parametres['nbactives'], sep)]) + txt += ': '.join([_(u'Mean of forms by segment').decode('utf8'), '%f%s' % (float(totocc) / float(corpus.getucenb()), sep)]) if 'tailleuc1' in parametres : if parametres['classif_mode'] == 0 : - txt += ': '.join([_(u'Size of rst1 / rst2'), '%i / %i - %i / %i%s' % (parametres['tailleuc1'], parametres['tailleuc2'], parametres['lenuc1'], parametres['lenuc2'], sep)]) + txt += ': '.join([_(u'Size of rst1 / rst2').decode('utf8'), '%i / %i - %i / %i%s' % (parametres['tailleuc1'], parametres['tailleuc2'], parametres['lenuc1'], parametres['lenuc2'], sep)]) else : self.Ucenb = self.nbind - txt += ': '.join([_(u'Number of lines'), '%i%s' % (self.nbind, sep)]) - txt += ': '.join([_(u'Number of clusters'), '%i%s' % (self.clnb, sep)]) + txt += ': '.join([_(u'Number of lines').decode('utf8'), '%i%s' % (self.nbind, sep)]) + txt += ': '.join([_(u'Number of clusters').decode('utf8'), '%i%s' % (self.clnb, sep)]) if istxt : - txt += ': '.join([_(u'Number of clusters'), '%i%s' % (parametres['clnb'], sep)]) + txt += ': '.join([_(u'Number of clusters').decode('utf8'), '%i%s' % (parametres['clnb'], sep)]) if parametres['classif_mode'] == 0 or parametres['classif_mode'] == 1 : - txt += ' '.join(['%i' % sum([len(cl) for cl in corpus.lc]), u'segments classified on', '%i (%.2f%%)%s' % (corpus.getucenb(), (float(sum([len(cl) for cl in corpus.lc])) / float(corpus.getucenb())) * 100, sep)]) + txt += ' '.join(['%i' % sum([len(cl) for cl in corpus.lc]), _(u'segments classified on').decode('utf8'), '%i (%.2f%%)%s' % (corpus.getucenb(), (float(sum([len(cl) for cl in corpus.lc])) / float(corpus.getucenb())) * 100, sep)]) elif self.parametres['classif_mode'] == 2 : - txt += ' '.join([u'%i' % sum([len(cl) for cl in corpus.lc]), 'texts classified on', '%i (%.2f%%)%s' % (corpus.getucinb(), (float(sum([len(cl) for cl in corpus.lc]))) / float(corpus.getucinb()) * 100, sep)]) + txt += ' '.join([u'%i' % sum([len(cl) for cl in corpus.lc]), _(u'texts classified on').decode('utf8'), '%i (%.2f%%)%s' % (corpus.getucinb(), (float(sum([len(cl) for cl in corpus.lc]))) / float(corpus.getucinb()) * 100, sep)]) else : - txt += ' '.join(['%i' % self.ucecla, 'line classified on', '%i (%.2f%%)%s' % (self.Ucenb, (float(self.ucecla) / float(self.Ucenb)) * 100, sep)]) + txt += ' '.join(['%i' % self.ucecla, _(u'line classified on').decode('utf8'), '%i (%.2f%%)%s' % (self.Ucenb, (float(self.ucecla) / float(self.Ucenb)) * 100, sep)]) - txt += ''.join([sep, u'###########################', sep, _(u'time'), ' : %s' % parametres.get('time', ''), sep, u'###########################', sep]) + txt += ''.join([sep, u'###########################', sep, _(u'time').decode('utf8'), ' : %s' % parametres.get('time', ''), sep, u'###########################', sep]) with open(self.pathout['pre_rapport'], 'w') as f : f.write(txt) @@ -870,10 +870,11 @@ class GraphPanelDendro(wx.Panel): self.param['width'] = dial.m_spinCtrl2.GetValue() self.param['height'] = dial.m_spinCtrl1.GetValue() self.param['type_dendro'] = dial.m_choice1.GetSelection() - self.param['color_nb'] = dial.m_radioBox1.GetSelection() - self.param['taille_classe'] = dial.m_checkBox1.GetValue() - self.param['type_tclasse'] = dial.m_radioBox2.GetSelection() self.param['svg'] = dial.choice_format.GetSelection() + if self.param['typedendro'] == 'classique' : + self.param['color_nb'] = dial.m_radioBox1.GetSelection() + self.param['taille_classe'] = dial.m_checkBox1.GetValue() + self.param['type_tclasse'] = dial.m_radioBox2.GetSelection() def make_dendro(self, dendro = 'simple') : if self.param['svg'] : @@ -961,6 +962,7 @@ class GraphPanelDendro(wx.Panel): def ondendro(self, evt): + self.param['typedendro'] = 'classique' dial = PrefDendro(self.ira, self.param) val = dial.ShowModal() if val == wx.ID_OK : @@ -968,6 +970,7 @@ class GraphPanelDendro(wx.Panel): self.make_dendro() def ondendrotexte(self, evt): + self.param['typedendro'] = 'texte' dial = PrefDendro(self.ira, self.param) val = dial.ShowModal() if val == wx.ID_OK : @@ -975,6 +978,7 @@ class GraphPanelDendro(wx.Panel): self.make_dendro(dendro = 'texte') def ondendrocloud(self, evt): + self.param['typedendro'] = 'cloud' dial = PrefDendro(self.ira, self.param) val = dial.ShowModal() if val == wx.ID_OK : @@ -1210,7 +1214,7 @@ class SimiLayout(DefaultTextLayout) : E(graph)$weight <- graph.simi$we.width write.graph(graph, fileout, format = 'graphml') #saveAsGEXF(graph, filepath = fileout) - """ % (self.pathout['RData.RData'], self.parent.RscriptsPath['simi'], fileout) + """ % (ffr(self.pathout['RData.RData']), ffr(self.parent.RscriptsPath['simi']), fileout) filetmp = tempfile.mktemp() with open(filetmp, 'w') as f : f.write(txt) @@ -1453,7 +1457,7 @@ class SimiMatLayout(DefaultMatLayout) : E(graph)$weight <- graph.simi$we.width write.graph(graph, fileout, format = 'graphml') #saveAsGEXF(graph, filepath = fileout) - """ % (self.pathout['RData.RData'], self.parent.RscriptsPath['simi'], fileout) + """ % (ffr(self.pathout['RData.RData']), ffr(self.parent.RscriptsPath['simi']), fileout) filetmp = tempfile.mktemp() with open(filetmp, 'w') as f : f.write(txt)