panel.TabChdSim.AddPage(self.prof_seg_nb, _(u"Repeated segments profiles").decode('utf8'))
# panel.Bind(wx.EVT_BUTTON, self.ongetrapport, id = self.ID_rapport)
+ if os.path.exists(os.path.join(self.parametres['pathout'], 'tgenchi2.csv')) :
+ self.parametres['tgenspec'] = os.path.join(self.parametres['pathout'], 'tgenchi2.csv')
+ TgenLayout(panel)
+ panel.TabChdSim.SetSelection(0)
self.parent.nb.AddPage(panel, _(u"Clustering").decode('utf8') + ' - %s' % corpname)
self.parent.ShowTab(True)
self.parent.nb.SetSelection(self.parent.nb.GetPageCount() - 1)
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()
""" % datetime.datetime.now().ctime()
if istxt :
totocc = corpus.gettotocc()
- txt += u'nombre de textes: %i%s' % (corpus.getucinb(), sep)
- txt += u'nombre de segments de textes: %i%s' % (corpus.getucenb(), sep)
- txt += u'nombre de formes: %i%s' % (len(corpus.formes), sep)
- txt += u'nombre d\'occurrences: %i%s' % (totocc, sep)
- txt += u'moyenne d\'occurrences par forme: %f%s' % (float(totocc) / float(len(self.corpus.formes)), sep)
- txt += u'nombre de lemmes: %i%s' % (len(corpus.lems), sep)
- txt += u'nombre de formes actives: %i%s' % (corpus.getactivesnb(1), sep)
- txt += u'nombre de formes supplémentaires: %i%s' % (corpus.getactivesnb(2), sep)
- txt += u'nombre de formes actives de fréquence >= %i: %i%s' % (parametres['eff_min_forme'], parametres['nbactives'], sep)
- txt += u'moyenne d\'occurrences par segments :%f%s' % (float(totocc) / float(corpus.getucenb()), 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').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 += u'taille 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 += u'nombre d\'individus : %i%s' % (self.nbind, sep)
- txt += u'nombre de classes : %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 += u'nombre de classes : %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 += u'%i segments classés sur %i (%.2f%%)%s' % (sum([len(cl) for cl in corpus.lc]), 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 += u'%i textes classés sur %i (%.2f%%)%s' % (sum([len(cl) for cl in corpus.lc]), 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 += u'%i segments classées sur %i (%.2f%%)%s' % (self.ucecla, 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 += """
-###########################
-temps d'analyse : %s
-###########################
-""" % parametres.get('time', '')
+ 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)
tgen.read()
tgentab = False
gparent = None
+ if 'TabChdSim' in dir(page) :
+ page = page.TabChdSim
for i in range(page.GetPageCount()) :
tab = page.GetPage(i)
if 'gparent' in dir(tab) :
if tab.tgen :
tgentab = tab
break
+
if tgentab :
self.page.tgentab.RefreshData(self.page.tgens)
self.page.tgentab.tgens = tgen.tgen
- self.page.SetSelection(i)
+ page.SetSelection(i)
else :
self.page.tgentab = ListForSpec(ira, gparent, self.page.tgens, etoiles[1:])
self.page.tgentab.tgen = True
self.page.tgentab.tgens = tgen.tgen
- self.page.AddPage(self.page.tgentab, u'Tgens Specificities')
- self.page.SetSelection(self.page.GetPageCount() - 1)
+ page.AddPage(self.page.tgentab, _(u'Tgens Specificities').decode('utf8'))
+ page.SetSelection(page.GetPageCount() - 1)
class dolexlayout :
def __init__(self, ira, corpus, parametres):
self.ListPanEffRelForme = ListForSpec(ira, self, self.DictEffRelForme, self.etoiles)
self.ListPanEffRelType = ListForSpec(ira, self, self.DictEffRelType, self.etoiles)
- self.TabStat.AddPage(self.ListPan, u'formes')
+ self.TabStat.AddPage(self.ListPan, _(u'Forms').decode('utf8'))
if os.path.exists(self.pathout['banalites.csv']) :
- self.TabStat.AddPage(self.listban, u'banalités')
- self.TabStat.AddPage(self.ListPant, u'Types')
- self.TabStat.AddPage(self.ListPanEff, u'Effectifs formes')
- self.TabStat.AddPage(self.ListPanEffType, u'Effectifs Type')
- self.TabStat.AddPage(self.ListPanEffRelForme, u'Effectifs relatifs formes')
- self.TabStat.AddPage(self.ListPanEffRelType, u'Effectifs relatifs Type')
+ self.TabStat.AddPage(self.listban, _(u'Banal forms').decode('utf8'))
+ self.TabStat.AddPage(self.ListPant, _(u'POS').decode('utf8'))
+ self.TabStat.AddPage(self.ListPanEff, _(u'Forms frequencies').decode('utf8'))
+ self.TabStat.AddPage(self.ListPanEffType, _(u'POS frequencies').decode('utf8'))
+ self.TabStat.AddPage(self.ListPanEffRelForme, _(u'Forms relative frequencies').decode('utf8'))
+ self.TabStat.AddPage(self.ListPanEffRelType, _(u'POS relative frequencies').decode('utf8'))
if self.parametres['clnb'] > 2 :
self.TabAFC = aui.AuiNotebook(self.TabStat, -1, wx.DefaultPosition)
list_graph=read_list_file(self.dictpathout['liste_graph_afcf'], encoding = self.encoding)
self.tabAFCGraph = GraphPanelAfc(self.TabAFC, self.dictpathout, list_graph, self.parametres['clnb'], itempath ='liste_graph_afcf', coding = self.encoding)
- self.TabAFC.AddPage(self.tabAFCGraph, 'AFC formes')
+ self.TabAFC.AddPage(self.tabAFCGraph, _(u'CA forms').decode('utf8'))
list_graph=read_list_file(self.dictpathout['liste_graph_afct'], encoding = self.encoding)
self.tabAFCTGraph = GraphPanelAfc(self.TabAFC, self.dictpathout, list_graph, self.parametres['clnb'], itempath ='liste_graph_afct', coding=self.encoding)
- self.TabAFC.AddPage(self.tabAFCTGraph, 'AFC type')
- self.TabStat.AddPage(self.TabAFC, 'AFC')
+ self.TabAFC.AddPage(self.tabAFCTGraph, _(u'CA POS').decode('utf8'))
+ self.TabStat.AddPage(self.TabAFC, _(u'CA').decode('utf8'))
- ira.nb.AddPage(self.TabStat, u'Spécificités')
+ ira.nb.AddPage(self.TabStat, ' - '.join([_(u'Specificities').decode('utf8'), self.parametres['name']]))
self.ira = ira
self.TabStat.corpus = self.corpus
#self.TabStatTot = wx.TextCtrl(self.TabStat, -1, style=wx.NO_BORDER | wx.TE_MULTILINE | wx.TE_RICH2)
list_graph = [['zipf.png', 'zipf']]
self.TabStatTot = GraphPanel(ira.nb, self.pathout, list_graph, self.result['glob'])
- self.TabStat.AddPage(self.TabStatTot, 'global')
+ self.TabStat.AddPage(self.TabStatTot, _(u'Abstract').decode('utf8'))
+
+ dictlabel = {'total' : _(u'Total').decode('utf8'),
+ u'formes_actives' : _(u'Actives forms').decode('utf8'),
+ u'formes_supplémentaires': _(u'Supplementary forms').decode('utf8'),
+ u'hapax' : _(u'Hapax').decode('utf8'),
+ }
+
for item in self.result:
if item != 'glob':
datam = [['forme', 'nb']]
self.ListPan = ListPanel(ira, self, self.result[item])
- self.TabStat.AddPage(self.ListPan, ' '.join(item.split('_')))
+ self.TabStat.AddPage(self.ListPan, dictlabel[item])
ira.nb.AddPage(self.TabStat, '%s' % parametres['name'])
ira.nb.SetSelection(ira.nb.GetPageCount() - 1)
ira.ShowAPane("Tab_content")
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'] :
def ondendro(self, evt):
+ self.param['typedendro'] = 'classique'
dial = PrefDendro(self.ira, self.param)
val = dial.ShowModal()
if val == wx.ID_OK :
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 :
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 :
fgSizer5.SetNonFlexibleGrowMode( wx.FLEX_GROWMODE_SPECIFIED )
self.fgSizer5 = fgSizer5
- self.m_staticText18 = wx.StaticText( self, wx.ID_ANY, u"Description du corpus", wx.DefaultPosition, wx.DefaultSize, 0 )
+ self.m_staticText18 = wx.StaticText( self, wx.ID_ANY, _(u"Description of corpus").decode('utf8'), wx.DefaultPosition, wx.DefaultSize, 0 )
self.m_staticText18.Wrap( -1 )
fgSizer5.Add( self.m_staticText18, 0, wx.ALL, 5 )
self.m_staticText21.Wrap( -1 )
fgSizer5.Add( self.m_staticText21, 0, wx.ALL, 5 )
- description = {'lang' : u'langue',
- 'encoding' : u'encodage',
- 'ucinb' : u'Nombre de textes',
- 'ucenb' : u'Nombre de segments de texte',
- 'formesnb' : u'Nombre de formes',
- 'hapax' : u'Nombre d\'hapax'
+ description = {'lang' : _(u'Language').decode('utf8'),
+ 'encoding' : _(u'Characters set').decode('utf8'),
+ 'ucinb' : _(u'Number of texts').decode('utf8'),
+ 'ucenb' : _(u'Number of text segments').decode('utf8'),
+ 'formesnb' : _(u'Number of forms').decode('utf8'),
+ 'hapax' : _(u'Number of hapax').decode('utf8'),
}
keys = ['lang', 'encoding', 'originalpath', 'pathout', 'date', 'time']
self.graphpan.Bind(wx.EVT_BUTTON, self.redosimi, self.graphpan.butafc)
self.graphpan.Bind(wx.EVT_BUTTON, self.export, self.graphpan.butexport)
self.tabsimi.AddPage(self.graphpan, 'Graph')
- self.ira.nb.AddPage(self.tabsimi, 'Analyse de graph')
+ self.ira.nb.AddPage(self.tabsimi, _(u'Graph analysis').decode('utf8'))
self.ira.ShowTab(True)
self.ira.nb.SetSelection(self.ira.nb.GetPageCount() - 1)
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)
exec_rcode(self.ira.RPath, filetmp)
- mss = wx.MessageDialog(self.ira, fileout, u'Fichier exporté', wx.OK)
+ mss = wx.MessageDialog(self.ira, fileout, _(u'File exported').decode('utf8'), wx.OK)
mss.CenterOnParent()
mss.ShowModal()
mss.Destroy()
res = normpath_win32(self.pathout['resultats.html']).replace('\\','/')
self.tab.LoadPage(res)
self.tab.parametres = self.parametres
- self.ira.nb.AddPage(self.tab, u"Fréquences")
+ self.ira.nb.AddPage(self.tab, ' - '.join([_(u"Frequency").decode('utf8'), self.parametres['name']]))
class Chi2Layout(DefaultMatLayout) :
res = normpath_win32(self.pathout['resultats-chi2.html']).replace('\\','/')
self.tab.LoadPage(res)
self.tab.parametres = self.parametres
- self.ira.nb.AddPage(self.tab, ' - '.join([u"Chi2", "%s" % self.parametres['name']]))
+ self.ira.nb.AddPage(self.tab, ' - '.join([u"Chi2", self.parametres['name']]))
#self.ira.nb.SetSelection(self.ira.nb.GetPageCount() - 1)
#self.ira.ShowAPane("Tab_content")
class ProtoLayout(DefaultMatLayout) :
def dolayout(self) :
- list_graph = [['proto.png', 'Analyse prototypique']]
+ list_graph = [['proto.png', _(u'Prototypical analysis').decode('utf8')]]
#self.Tab = aui.AuiNotebook(self.ira.nb, -1, wx.DefaultPosition)
#if self.parametres['svg'] :
# list_graph = [['nuage_1.svg', 'Nuage']]
#self.Tab.AddPage(self.TabProto, 'Analyse Prototypique')
#self.Tab.corpus = self.corpus
self.TabProto.parametres = self.parametres
- self.ira.nb.AddPage(self.TabProto, 'Analyse Prototypique - %s' % self.parametres['name'])
+ self.ira.nb.AddPage(self.TabProto, ' - '.join([_(u'Prototypical analysis').decode('utf8'), self.parametres['name']]))
#self.ira.nb.SetSelection(self.ira.nb.GetPageCount() - 1)
#self.ira.ShowAPane("Tab_content")
self.graphpan.Bind(wx.EVT_BUTTON, self.export, self.graphpan.butexport)
self.tabsimi.AddPage(self.graphpan, 'Graph')
self.tabsimi.parametres = self.parametres
- self.parent.nb.AddPage(self.tabsimi, 'Analyse de graph')
+ self.parent.nb.AddPage(self.tabsimi, ' - '.join([_(u'Graph analysis').decode('utf8'), self.parametres['name']]))
#self.parent.ShowTab(True)
#self.parent.nb.SetSelection(self.parent.nb.GetPageCount() - 1)
'halo' : self.dial.halo.GetValue(),
'com' : self.dial.comcheck.GetValue(),
'communities' : self.dial.choix_com.GetSelection(),
+ 'edgecurved' : self.dial.check_curved.GetValue(),
}
if 'cexfromchi' in self.parametres :
paramsimi['cexfromchi'] = self.dial.checkit.GetValue()
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)
exec_rcode(self.ira.RPath, filetmp)
- mss = wx.MessageDialog(self.ira, fileout, u'Fichier exporté', wx.OK)
+ mss = wx.MessageDialog(self.ira, fileout, _(u'File exported').decode('utf8'), wx.OK)
mss.CenterOnParent()
mss.ShowModal()
mss.Destroy()
projects / iramuteq / blobdiff