'qui' : 0,
'do_select_nb' : 0,
'do_select_chi' : 0,
+ 'do_select_chi_classe' : 0,
'select_nb' : 50,
'select_chi' : 4,
+ 'nbchic' : 30,
'over' : 0,
'cex_txt' : 0,
'txt_min' : 5,
'qui' : dial.choice2.GetSelection(),
'do_select_nb' : dial.check1.GetValue(),
'do_select_chi' : dial.check2.GetValue(),
+ 'do_select_chi_classe' : dial.check_chic.GetValue(),
'select_nb' : dial.spin_nb.GetValue(),
'select_chi' : dial.spin_chi.GetValue(),
+ 'nbchic' : dial.spin_nbchic.GetValue(),
'over' : dial.check3.GetValue(),
'cex_txt' : dial.check4.GetValue(),
'txt_min' : dial.spin_min.GetValue(),
afc <- afcf
afc_table <- afcf_table
chistabletot <- specfp
+ infp <- which(is.infinite(chistabletot) & chistabletot > 0)
+ infm <- which(is.infinite(chistabletot) & chistabletot < 0)
+ chistabletot[infp] <- 0
+ chistabletot[infm] <- 0
+ chistabletot[infp] <- max(chistabletot) + 1
+ chistabletot[infm] <- min(chistabletot) - 1
"""
elif self.itempath == 'liste_graph_afct' :
txt +="""
if self.actives is None :
with codecs.open(self.pathout['actives.csv'], 'r', self.parametres['encoding']) as f :
self.actives = f.read()
- self.actives = [act for act in self.actives.splitlines()]
+ self.actives = self.actives.splitlines()#[act for act in self.actives.splitlines()]
dictcol = dict([[i, [act, self.corpus.getlemeff(act)]] for i, act in enumerate(self.actives)])
SelectColumn(self.ira, dictcol, self.actives, self.pathout['selected.csv'], selected = selected)
prep = PrepSimi(self.ira, self.parametres, indices_simi)