X-Git-Url: http://iramuteq.org/git?p=iramuteq;a=blobdiff_plain;f=iramuteq.py;h=8a0e62875bb47cd9561f2220bdf03433accf4ecc;hp=f1dabc0cee1b7f0696f67638393b8e28df8c4533;hb=ead6ffe8d4024e2afb3dc0c8457cd78dd15768e5;hpb=3647a911117ea08f4f969720a16c58bcc7d4e809

diff --git a/iramuteq.py b/iramuteq.py
index f1dabc0..8a0e628 100644
--- a/iramuteq.py
+++ b/iramuteq.py
@@ -45,7 +45,7 @@ from tabsimi import DoSimi
 from tabrsimple import InputText
 from tabverges import Prototypical
 from tabsplitvar import SplitMatrixFromVar
-from textdist import AnalysePam
+#from textdist import AnalysePam
 from textstat import Stat
 from textaslexico import Lexico
 from textsimi import SimiTxt, SimiFromCluster
@@ -306,7 +306,7 @@ class IraFrame(wx.Frame):
         self.statusbar = self.CreateStatusBar(2, wx.ST_SIZEGRIP)
         self.statusbar.SetStatusWidths([-2, -3])
         self.statusbar.SetStatusText(_(u"Ready"), 0)
-        self.statusbar.SetStatusText(_(u"Wellcome"), 1)
+        self.statusbar.SetStatusText(_(u"Welcome"), 1)
 
         # min size for the frame itself isn't completely done.
         # see the end up FrameManager::Update() for the test
@@ -340,7 +340,7 @@ class IraFrame(wx.Frame):
         #        f.write('')
         self.history = History(os.path.join(UserConfigPath, 'history.db'))
         self.tree = LeftTree(self)
-        self._mgr.AddPane(self.tree, aui.AuiPaneInfo().Name("lefttree").Caption(_(u"Navigator").decode('utf8')).
+        self._mgr.AddPane(self.tree, aui.AuiPaneInfo().Name("lefttree").Caption(_(u"Historic").decode('utf8')).
                           Left().MinSize(wx.Size(200,500)).Layer(1).Position(1).CloseButton(False).MaximizeButton(True).
                           MinimizeButton(True))
         
@@ -968,7 +968,7 @@ Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, États-Unis."""
             BugReport(self)
 
     def SimiCluster(self, parametres = {}, fromprof = False, tableau = None) :
-        self.analyse_matrix(DoSimi, parametres = parametres, analyse_type = 'simiclustermatrix', matrix = tableau)
+        self.analyse_matrix(DoSimi, parametres = parametres, analyse_type = 'simiclustermatrix', matrix = tableau, dlgnb = 5)
     
 #    def OnSimi(self,evt):
 #        try :