X-Git-Url: http://iramuteq.org/git?p=iramuteq;a=blobdiff_plain;f=textstat.py;h=c25b9dcea30647650b437659f22f85903056131d;hp=f8f3735ad1a50e659fd68828de86c3dee81256a6;hb=9b78e6210e7fc88a7e77d178c4090aabb23580d9;hpb=889c0c759bd1a27a90cbf0a1bbb3f080ab293aaf

diff --git a/textstat.py b/textstat.py
index f8f3735..c25b9dc 100644
--- a/textstat.py
+++ b/textstat.py
@@ -4,21 +4,11 @@
 #Copyright (c) 2008-2012 Pierre Ratinaud
 #License: GNU/GPL
 
-#from chemins import ConstructPathOut, StatTxtPathOut, ffr
-from chemins import PathOut
+from chemins import ffr
 from analysetxt import AnalyseText
-#from corpus import Corpus
-from guifunct import getPage, getCorpus
-from ConfigParser import RawConfigParser
-from functions import sortedby, progressbar, CreateIraFile, exec_rcode, check_Rresult, DoConf
-from dialog import StatDialog
-from openanalyse import OpenAnalyse
-#from ttparser import * 
+from functions import sortedby, progressbar, exec_rcode, check_Rresult 
 import tempfile
 from time import sleep
-import wx
-import os
-
 import logging
 
 logger = logging.getLogger('iramuteq.textstat')
@@ -57,14 +47,13 @@ class Stat(AnalyseText) :
         phapax = (float(len(hapax)) / float(occurrences)) * 100
         phapax_forme = (float(len(hapax)) / (float(len(formes)))) * 100
         moy_occu_mot = float(occurrences) / float(len(formes))
-        txt = 'Globale\n'
-        txt += 'nombre de textes : %i\n' % len(self.corpus.ucis)
-        txt += 'nombre d\'occurrences : %i\n' % occurrences
-        txt += 'nombre de formes : %i\n' % (len(formes))
-        txt += 'moyenne d\'occurrences par forme : %.2f\n' % moy_occu_mot
-        txt += 'nombre d\'hapax : %i (%.2f%% des occurrences - %.2f%% des formes)\n' % (len(hapax), phapax, phapax_forme)
-        print float(occurrences), float(len(self.corpus.ucis))
-        txt += 'moyenne d\'occurrences par texte : %.2f' % (float(occurrences)/float(len(self.corpus.ucis)))
+        txt = ''.join([_(u'Abstract').decode('utf8'), '\n'])
+        txt += ''.join([_(u'Number of texts').decode('utf8'),' : ', '%i\n' % len(self.corpus.ucis)])
+        txt += ''.join([_(u"Number of occurrences").decode('utf8'),' : %i\n' % occurrences])
+        txt += ''.join([_(u'Number of forms').decode('utf8'), ' : %i\n' % (len(formes))])
+        txt += ''.join([_(u"Number of hapax").decode('utf8'),' : %i (%.2f%%' % (len(hapax),phapax), _(u'of occurrences').decode('utf8'), ' - %.2f%% ' % phapax_forme, _(u'of forms').decode('utf8'), ')\n']) 
+        #print float(occurrences), float(len(self.corpus.ucis))
+        txt += ''.join([_(u"Mean of occurrences by text").decode('utf8'), ' : %.2f' % (float(occurrences)/float(len(self.corpus.ucis)))])
         if self.dlg :
             self.dlg.Update(7, u'Ecriture...')
         self.result['glob'] = txt
@@ -73,17 +62,17 @@ class Stat(AnalyseText) :
         txt = """
         source("%s")
         tot <- read.csv2("%s", header = FALSE, row.names = 1)
-        """ % (self.parent.RscriptsPath['Rgraph'], self.pathout['total.csv'])
+        """ % (ffr(self.parent.RscriptsPath['Rgraph']), ffr(self.pathout['total.csv']))
         if len(hapax) :
             txt += """
             hapax <- read.csv2("%s", header = FALSE, row.names = 1)
             tot <- rbind(tot, hapax)
-            """ % self.pathout['hapax.csv']
+            """ % ffr(self.pathout['hapax.csv'])
         txt += """
         open_file_graph("%s", width = 400, height = 400)
         plot(tot[,1], log = 'xy', xlab='log(rangs)', ylab = 'log(frequences)', col = 'red', pch=16)
         dev.off()
-        """ % (self.pathout['zipf.png'])
+        """ % (ffr(self.pathout['zipf.png']))
         tmpscript = tempfile.mktemp(dir=self.parent.TEMPDIR)
         with open(tmpscript, 'w') as f :
             f.write(txt)