-#!/bin/env python
# -*- coding: utf-8 -*-
#Author: Pierre Ratinaud
-#Copyright (c) 2008-2009 Pierre Ratinaud
-#Lisense: GNU/GPL
+#Copyright (c) 2008-2020 Pierre Ratinaud
+#modification pour python 3 : Laurent Mérat, 6x7 - mai 2020
+#License: GNU/GPL
+#------------------------------------
+# import des modules python
+#------------------------------------
+import tempfile
+import os
+import logging
+
+#------------------------------------
+# import des modules wx
+#------------------------------------
+import wx
+
+#------------------------------------
+# import des fichiers du projet
+#------------------------------------
from analysetxt import AnalyseText
from guifunct import getPage, getCorpus, SelectColumn
-from ConfigParser import RawConfigParser
-from functions import sortedby, progressbar, CreateIraFile, exec_rcode, check_Rresult, MessageImage
+from functions import sortedby, progressbar
from dialog import StatDialog, PrefWordCloud
from PrintRScript import WordCloudRScript
-#from ttparser import *
-import tempfile
-from time import sleep
-import wx
-import os
-import logging
+
logger = logging.getLogger('iramuteq.textwordcloud')
class WordCloud(AnalyseText):
+
def doanalyse(self) :
self.parametres['type'] = 'wordcloud'
#FIXME
limit = 3
+
+# self.dlg.Destroy()
+
res = self.make_option()
if res == wx.ID_OK :
if self.parametres['mode'] == 2 :
elif self.parametres['mode'] == 1 :
self.actives = self.corpus.make_actives_limit(limit, 2)
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'], dlg = True)
- self.make_wordcloud()
- script = WordCloudRScript(self)
- script.make_script()
- self.doR(script.scriptout, dlg = self.dlg, message = 'R...')
+ selectcol = SelectColumn(self.ira, dictcol, self.actives, self.pathout['selected.csv'], dlg = True)
+ if selectcol.ok :
+ self.dlg = progressbar(self.ira, 2)
+ self.make_wordcloud()
+ script = WordCloudRScript(self)
+ script.make_script()
+ self.doR(script.scriptout, dlg = self.dlg, message = 'R...')
+ self.dlg.Destroy()
+ else :
+ return 'NOK'
else :
return 'NOK'
-
- def make_option(self) :
- dial = PrefWordCloud(self.ira)
+
+ def make_option(self, fromcluster = False) :
+ dial = PrefWordCloud(self.ira, fromcluster)
dial.CenterOnParent()
res = dial.ShowModal()
if res == wx.ID_OK :
self.parametres['col_bg'] = dial.color_bg.GetColour()
self.parametres['mode'] = dial.typeformeschoice.GetSelection()
self.parametres['svg'] = svg
+ if fromcluster :
+ self.parametres['indice'] = dial.indice.GetSelection()
outgraph = os.path.join(os.path.dirname(self.pathout['zipf.png']), 'nuage_')
nb = 1
if svg :
return res
def make_wordcloud(self) :
- act = ['\t'.join([act, `self.corpus.getlemeff(act)`]) for act in self.actives]
- with open(self.pathout['actives_eff.csv'], 'w') as f :
- f.write('\n'.join(act).encode(self.ira.syscoding))
+ act = ['\t'.join([act, repr(self.corpus.getlemeff(act))]) for act in self.actives]
+ with open(self.pathout['actives_eff.csv'], 'w', encoding='utf8') as f :
+ f.write('\n'.join(act))
+
+
+class ClusterCloud(WordCloud):
+
+ def doanalyse(self):
+ print('ClusterCloud')
+ self.parametres['type'] = 'clustercloud'
+ #FIXME
+ limit = 2
+ res = self.make_option(True) #dialogue d'options de WordCloud.make_option
+ if res == wx.ID_OK :
+ prof = self.parametres['clusterprof']
+ del self.parametres['clusterprof']
+ if self.parametres['indice'] == 0:
+ tokeep = 1
+ else:
+ tokeep = 2
+ prof = [[val[0], int(round(val[tokeep]))] for val in prof]
+ with open(self.pathout['actives_eff.csv'], 'w', encoding='utf8') as f :
+ f.write('\n'.join(['\t'.join([val[0], repr(val[1])]) for val in prof]))
+ dictcol = dict([[i, val] for i, val in enumerate(prof)])
+ self.actives = [val[0] for val in prof]
+ SelectColumn(self.ira, dictcol, self.actives, self.pathout['selected.csv'], dlg = True)
+ script = WordCloudRScript(self)
+ script.make_script()
+
+ dialProgression = progressbar(self.ira, self.dlg)
+ self.doR(script.scriptout, dlg = dialProgression, message = 'R...')
+ dialProgression.Destroy()
+
+ else:
+ return 'NOK'
+