# -*- coding: utf-8 -*-
#Author: Pierre Ratinaud
-#Copyright (c) 2008-2011 Pierre Ratinaud
-#Lisense: GNU/GPL
+#Copyright (c) 2008-2020 Pierre Ratinaud
+#modification pour python 3 : Laurent Mérat, 6x7 - mai 2020
+#License: GNU/GPL
-from chemins import ConstructPathOut, StatTxtPathOut
-#from corpus import Corpus
-from analysetxt import AnalyseText
-import wx
+#------------------------------------
+# import des modules python
+#------------------------------------
import os
-import sys
-from listlex import *
-from functions import exec_rcode, progressbar, check_Rresult, CreateIraFile, print_liste, treat_var_mod, write_tab, DoConf
-from dialog import OptLexi, StatDialog #LexDialog
-from openanalyse import OpenAnalyse
import tempfile
-from ConfigParser import RawConfigParser
-from guifunct import getPage, getCorpus
from time import sleep
import logging
+#------------------------------------
+# import des modules wx
+#------------------------------------
+import wx
+
+#------------------------------------
+# import des fichiers du projet
+#------------------------------------
+from chemins import ConstructPathOut, StatTxtPathOut, PathOut, ffr
+from analysetxt import AnalyseText
+from functions import exec_rcode, progressbar, check_Rresult, CreateIraFile, print_liste, treat_var_mod, write_tab, DoConf, TGen
+from dialog import OptLexi #, StatDialog
+from PrintRScript import TgenSpecScript
+
+
log = logging.getLogger('iramuteq.spec')
+
class Lexico(AnalyseText) :
+
def doanalyse(self) :
pathout = self.pathout.dirout
self.dictpathout = StatTxtPathOut(pathout)
self.parametres['ira'] = self.dictpathout['ira']
+ self.dlg = progressbar(self, 3)
self.make_lexico()
if self.dlg :
try :
self.dlg.Destroy()
except :
pass
-
+
def DoR(self):
nbligne = 5
colonne = 1
txt = """
source("%s")
source("%s")
- """ % (self.parent.RscriptsPath['chdfunct'], self.parent.RscriptsPath['Rgraph'])
+ """ % (ffr(self.parent.RscriptsPath['chdfunct']), ffr(self.parent.RscriptsPath['Rgraph']))
txt += """
dmf<-read.csv2("%s",row.names=1)
- """ % self.dictpathout['tableafcm']
+ """ % ffr(self.dictpathout['tableafcm'])
txt += """
dmt<-read.csv2("%s",row.names=1)
- """ % self.dictpathout['tabletypem']
+ """ % ffr(self.dictpathout['tabletypem'])
+ txt += """
+ indice <- "%s"
+ """ % self.parametres['indice']
if self.parametres['indice'] == 'hypergeo' :
txt += """
outf <- make.spec.hypergeo(dmf)
outf<-AsLexico2(dmf)
outt<-AsLexico2(dmt)
"""
-
+ txt += """
+ if (indice == 'hypergeo') {
+ banseuil <- 2
+ } else if (indice == 'chi2') {
+ banseuil <- 3
+ }
+ banal <- apply(abs(outf[[1]]), 1, max)
+ banal <- which(banal < banseuil)
+ banalfreq <- rowSums(dmf[banal,])
+ banalspec <- specf<-outf[[1]][banal,]
+ banal <- cbind(banalfreq, banalspec)
+ write.csv2(banal,file="%s")
+ """ % ffr(self.pathout['banalites.csv'])
txt += """
specf<-outf[[1]]
spect<-outt[[1]]
write.csv2(specf,file="%s")
- """ % self.dictpathout['tablespecf']
+ """ % ffr(self.dictpathout['tablespecf'])
txt += """
write.csv2(spect,file="%s")
- """ % self.dictpathout['tablespect']
+ """ % ffr(self.dictpathout['tablespect'])
txt += """
write.csv2(outf[[3]],file="%s")
- """ % self.dictpathout['eff_relatif_forme']
+ """ % ffr(self.dictpathout['eff_relatif_forme'])
txt += """
write.csv2(outt[[3]],file="%s")
- """ % self.dictpathout['eff_relatif_type']
+ """ % ffr(self.dictpathout['eff_relatif_type'])
if self.parametres['clnb'] > 2 :
txt += """
library(ca)
debsup <- NULL
debet <- NULL
clnb <- ncol(specf)
- """ % (self.dictpathout['afcf_row'], self.dictpathout['afcf_col'], self.dictpathout['afct_row'], self.dictpathout['afct_col'], self.dictpathout['afcf_facteur_csv'], self.dictpathout['afcf_col_csv'], self.dictpathout['afcf_row_csv'], self.dictpathout['afct_facteur_csv'], self.dictpathout['afct_col_csv'], self.dictpathout['afct_row_csv'])
-
+ """ % (ffr(self.dictpathout['afcf_row']), ffr(self.dictpathout['afcf_col']), ffr(self.dictpathout['afct_row']), ffr(self.dictpathout['afct_col']), ffr(self.dictpathout['afcf_facteur_csv']), ffr(self.dictpathout['afcf_col_csv']), ffr(self.dictpathout['afcf_row_csv']), ffr(self.dictpathout['afct_facteur_csv']), ffr(self.dictpathout['afct_col_csv']), ffr(self.dictpathout['afct_row_csv']))
txt += """
save.image("%s")
- """ % self.dictpathout['RData']
+ """ % ffr(self.dictpathout['RData'])
tmpfile = tempfile.mktemp(dir=self.parent.TEMPDIR)
- tmpscript = open(tmpfile, 'w')
+ tmpscript = open(tmpfile, 'w' ,encoding='utf8')
tmpscript.write(txt)
tmpscript.close()
self.doR(tmpfile, dlg = self.dlg, message = 'R...')
else :
ListEt = variables[var[dial.list_box_1.GetSelections()[0]]]
self.listet = ListEt
+ self.listet.sort()
self.parametres['mineff'] = dial.spin.GetValue()
if dial.choice_indice.GetSelection() == 0 :
self.parametres['indice'] = 'hypergeo'
else :
self.parametres['indice'] = 'chi2'
+ self.parametres['typeformes'] = dial.typeformes.GetSelection()
self.parametres['clnb'] = len(ListEt)
dial.Destroy()
return self.parametres
def make_lexico(self) :
mineff = self.parametres['mineff']
#dlg = progressbar(self, maxi = 3)
- tabout = self.corpus.make_lexitable(mineff, self.listet)
+ tabout = self.corpus.make_lexitable(mineff, self.listet, gram = self.parametres['typeformes'])
#log.warning('Fmax a 200')
#Fmax = [line for line in tabout[1:] if sum(line[1:]) > 199]
- #formesmax = [line[0] for line in Fmax]
+ #formesmax = [line[0] for line in Fmax
#Fmax = [line[1:] for line in Fmax]
#summax = [sum(col) for col in zip(*Fmax)]
#tabout.append(['Fmax'] + summax)
#log.warning('ATTENTION : hapax par etoile')
#tabout.append(['hapax'] + self.corpus.gethapaxbyet(self.listet))
write_tab(tabout, self.dictpathout['tableafcm'])
-
#log.warning('ATTENTION : gethapaxuces')
#self.corpus.gethapaxuces()
-
tabout = self.corpus.make_efftype_from_etoiles(self.listet)
write_tab(tabout, self.dictpathout['tabletypem'])
if self.dlg :
- self.dlg.Update(2, u'R...')
+ self.dlg.Update(2, 'R...')
self.DoR()
if self.dlg :
- self.dlg.Update(3, u'Chargement...')
- afcf_graph_list = [[os.path.basename(self.dictpathout['afcf_row']), u'lignes'],\
- [os.path.basename(self.dictpathout['afcf_col']), u'colonnes']]
- afct_graph_list = [[os.path.basename(self.dictpathout['afct_row']), u'lignes'],\
- [os.path.basename(self.dictpathout['afct_col']), u'colonnes']]
+ self.dlg.Update(3, 'Chargement...')
+ afcf_graph_list = [[os.path.basename(self.dictpathout['afcf_row']), 'lignes'],\
+ [os.path.basename(self.dictpathout['afcf_col']), 'colonnes']]
+ afct_graph_list = [[os.path.basename(self.dictpathout['afct_row']), 'lignes'],\
+ [os.path.basename(self.dictpathout['afct_col']), 'colonnes']]
print_liste(self.dictpathout['liste_graph_afcf'],afcf_graph_list)
print_liste(self.dictpathout['liste_graph_afct'],afct_graph_list)
- DoConf().makeoptions(['spec'],[self.parametres], self.dictpathout['ira'])
+ #DoConf().makeoptions(['spec'],[self.parametres], self.dictpathout['ira'])
+
+
+class TgenSpec(AnalyseText):
+
+ def __init__(self, ira, corpus, parametres):
+ self.ira = ira
+ self.corpus = corpus
+ self.parametres = parametres
+ self.pathout = PathOut(dirout = self.parametres['pathout'])
+ self.doanalyse()
+
+ def doanalyse(self):
+ self.tgen = TGen(path = self.parametres['tgenpath'], encoding = self.ira.syscoding)
+ self.tgen.read(self.tgen.path)
+ self.parametres['etoiles'].sort()
+ tgenocc, totocc = self.corpus.make_tgen_table(self.tgen, self.parametres['etoiles'])
+ self.parametres['tgeneff'] = os.path.join(self.parametres['pathout'], 'tgeneff.csv')
+ self.tgen.writetable(self.parametres['tgeneff'], tgenocc, totocc)
+ self.parametres['tgenspec'] = os.path.join(self.parametres['pathout'], 'tgenspec.csv')
+ self.Rscript = TgenSpecScript(self)
+ self.Rscript.make_script()
+ self.Rscript.write()
+ self.doR(self.Rscript.scriptout, dlg = False, message = 'R...')
projects / iramuteq / blobdiff