log.info('Problem')
return False
if self.parametres['type_graph'] == 1:
+ if self.parametres['svg'] :
+ filename, ext = os.path.splitext(script.filename)
+ fileout = filename + '.svg'
+ else :
+ fileout = script.filename
if os.path.exists(self.pathout['liste_graph']):
graph_simi = read_list_file(self.pathout['liste_graph'])
- graph_simi.append([os.path.basename(script.filename), script.txtgraph])
+ graph_simi.append([os.path.basename(fileout), script.txtgraph])
else :
- graph_simi = [[os.path.basename(script.filename), script.txtgraph]]
+ graph_simi = [[os.path.basename(fileout), script.txtgraph]]
print_liste(self.pathout['liste_graph'], graph_simi)
else :
return False
-# def preferences(self) :
-# dial = StatDialog(self, self.parent)
-# dial.CenterOnParent()
-# val = dial.ShowModal()
-# if val == 5100 :
-# if dial.radio_lem.GetSelection() == 0 :
-# lem = 1
-# else :
-# lem = 0
-# self.parametres['lem'] = lem
-# dial.Destroy()
-# return self.parametres
-# else :
-# dial.Destroy()
-# return None
-
def makesimiparam(self) :
self.paramsimi = {'coeff' : 0,
'layout' : 2,
f.write('\n'.join(self.actives).encode(self.ira.syscoding))
class SimiFromCluster(SimiTxt) :
- def __init__(self, ira, corpus, actives, numcluster, parametres = None, dlg = False) :
+ def __init__(self, ira, corpus, actives, lfreq, lchi, numcluster, parametres = None, dlg = False) :
self.actives = actives
self.numcluster = numcluster
+ self.lfreq = lfreq
+ self.lchi = lchi
parametres['name'] = 'simi_classe_%i' % (numcluster + 1)
SimiTxt.__init__(self, ira, corpus, parametres, dlg, lemdial = False)
filename, ext = os.path.splitext(script.filename)
fileout = filename + '.svg'
else :
- fileout = self.script.filename
+ fileout = script.filename
if os.path.exists(self.pathout['liste_graph']):
graph_simi = read_list_file(self.pathout['liste_graph'])
graph_simi.append([os.path.basename(fileout), script.txtgraph])
self.corpus.make_and_write_sparse_matrix_from_classe(self.actives, self.corpus.lc[self.numcluster], self.pathout['mat01.csv'])
with open(self.pathout['actives.csv'], 'w') as f :
f.write('\n'.join(self.actives).encode(self.ira.syscoding))
+ with open(self.pathout['actives_nb.csv'], 'w') as f :
+ f.write('\n'.join([`val` for val in self.lfreq]))
+ with open(self.pathout['actives_chi.csv'], 'w') as f :
+ f.write('\n'.join([`val` for val in self.lchi]))
+