from wx.lib.agw.fmresources import *
from chemins import ConstructPathOut, ChdTxtPathOut, FFF, ffr, PathOut, StatTxtPathOut, simipath
from ConfigParser import ConfigParser
-from functions import ReadProfileAsDico, GetTxtProfile, read_list_file, ReadList, exec_rcode, print_liste, BugReport, DoConf, indices_simi, check_Rresult, progressbar, normpath_win32
+from functions import ReadProfileAsDico, GetTxtProfile, read_list_file, ReadList, exec_rcode, print_liste, BugReport, DoConf, indices_simi, check_Rresult, progressbar, normpath_win32, TGen
from ProfList import ProfListctrlPanel
from guiparam3d import param3d, simi3d
from PrintRScript import write_afc_graph, print_simi3d, PrintSimiScript
from profile_segment import ProfileSegment
-from functions import ReadList
+from functions import ReadList, launchcommand
from listlex import *
from Liste import *
from search_tools import SearchFrame
-from dialog import PrefGraph, PrefExport, PrefSimpleFile, PrefDendro, SimpleDialog
-from guifunct import SelectColumn, PrepSimi, PrefSimi
+from dialog import PrefGraph, PrefExport, PrefSimpleFile, PrefDendro, SimpleDialog, ImageViewer
+from guifunct import SelectColumn, PrepSimi, PrefSimi, redosimi
from webexport import WebExport
from corpus import Corpus
from sheet import MySheet
import shutil
import codecs
import logging
+import gettext
+from graph_to_json import GraphToJson
+_ = gettext.gettext
log = logging.getLogger('iramuteq.layout')
if ext == '.svg' or ext == '.html':
self.listimg.append(hl.HyperLinkCtrl(self.panel_1, -1, os.path.join(self.dirout,list_graph[i][0]), URL=os.path.join(self.dirout,list_graph[i][0])))
else :
- self.listimg.append(wx.StaticBitmap(self.panel_1, -1, wx.Bitmap(os.path.join(self.dirout,list_graph[i][0]), wx.BITMAP_TYPE_ANY)))
+ self.listimg.append(wx.StaticBitmap(self.panel_1, -1, wx.Bitmap(os.path.join(self.dirout,list_graph[i][0]), wx.BITMAP_TYPE_ANY), name=`i-b`))
+ self.listimg[-1].Bind(wx.EVT_RIGHT_DOWN, self.onrightclick)
if os.path.exists(os.path.join(self.dirout,list_graph[i][0] + '_notplotted.csv')) :
txt = _(u"List of not plotted points : ").decode('utf8') + '%s' % os.path.join(self.dirout,list_graph[i][0] + '_notplotted.csv')
else :
todel.append(i)
b += 1
self.list_graph = [graph for i, graph in enumerate(self.list_graph) if i not in todel]
-
- self.param = { 'typegraph' : 0,
+
+ self.param = { 'typegraph' : 0,
'width' : 800,
'height' : 800,
'what' : 0,
'select_nb' : 50,
'select_chi' : 4,
'nbchic' : 30,
- 'over' : 0,
+ 'over' : 0,
'cex_txt' : 0,
'txt_min' : 5,
'txt_max' : 40,
self.panel_1.SetScrollRate(20, 20)
self.panel_1.SetFocus()
- def __do_layout(self):
+ def __do_layout(self):
self.sizer_1 = wx.BoxSizer(wx.VERTICAL)
self.sizer_2 = wx.BoxSizer(wx.HORIZONTAL)
self.sizer_3 = wx.BoxSizer(wx.VERTICAL)
self.Bind(wx.EVT_BUTTON, self.on_delete_image, self.buts[i])
self.panel_1.SetSizer(self.sizer_3)
self.sizer_2.Add(self.panel_1, 1, wx.EXPAND, 0)
- self.SetSizer(self.sizer_2)
+ self.SetSizer(self.sizer_2)
def on_delete_image(self, event) :
image_id = int(event.GetEventObject().GetName())
oldbut.Show(False)
for i, but in enumerate(self.buts) :
but.SetName(`i`)
+ self.listimg[i].SetName(`i`)
todel = self.list_graph.pop(image_id)
os.remove(os.path.join(self.dirout, todel[0]))
print_liste(self.Dict[self.itempath], self.list_graph)
self.Layout()
else :
dial.Destroy()
-
+
+ def onrightclick(self, event):
+ image_id = int(event.GetEventObject().GetName())
+ image_path = self.list_graph[image_id][0]
+ viewer = ImageViewer(self, {'tmpgraph' : os.path.join(self.dirout,image_path), 'svg': 'FALSE', 'wildcard': '*.*'}, self.labels[image_id].GetLabelText(), self.listimg[image_id].GetSize())
+ viewer.Show()
+ #print image_path
+ #print self.labels[image_id].GetLabelText()
def afc_graph(self,event):
#dirout = os.path.dirname(self.Dict['ira'])
typegraph = 2
if typegraph == 2:
typefile = '.gexf'
+ if typegraph == 3 :
+ typefile = ''
while os.path.exists(os.path.join(self.dirout,'graph_afc_'+str(self.afcnb)+typefile)):
self.afcnb +=1
self.fileout = ffr(os.path.join(self.dirout,'graph_afc_'+str(self.afcnb)+typefile))
'select_nb' : dial.spin_nb.GetValue(),
'select_chi' : dial.spin_chi.GetValue(),
'nbchic' : dial.spin_nbchic.GetValue(),
- 'over' : dial.check3.GetValue(),
+ 'over' : dial.check3.GetValue(),
'cex_txt' : dial.check4.GetValue(),
'txt_min' : dial.spin_min.GetValue(),
'txt_max' : dial.spin_max.GetValue(),
self.RscriptsPath = self.ira.RscriptsPath
txt = """
load("%s")
- """ % self.DictPathOut['RData']
+ """ % ffr(self.DictPathOut['RData'])
if self.itempath == 'liste_graph_afcf' :
txt += """
afc <- afcf
afc_table <- afcf_table
chistabletot <- specfp
- """
+ """
elif self.itempath == 'liste_graph_afct' :
txt +="""
afc <- afct
f.write(txt)
pid = exec_rcode(self.ira.RPath, filetmp)
check_Rresult(self.ira, pid)
- if self.param['typegraph'] in [0,2] :
+ if self.param['typegraph'] != 1 :
txt = 'Variables '
if self.param['qui'] == 0 : value = u'actives'
if self.param['qui'] == 1 : value = u'supplémentaires'
'bargraphw' : 60*int(self.param['clnb']),
}
web = WebExport(self.ira, parametres)
- self.fileout = web.exportafc()
- self.list_graph.append([os.path.basename(self.fileout), txt])
+ self.fileout = web.exportafc()
+ if self.param['typegraph'] == 3 :
+ fileout = os.path.join(os.path.basename(self.fileout), 'index.html')
+ else :
+ fileout = os.path.basename(self.fileout)
+ self.list_graph.append([fileout, txt])
print_liste(self.DictPathOut[self.itempath], self.list_graph)
if self.param['svg'] or self.param['typegraph'] == 2:
self.listimg.append(hl.HyperLinkCtrl(self.panel_1, -1, self.fileout, URL=self.fileout))
-
+ elif self.param['typegraph'] == 3 :
+ fileout = os.path.join(self.fileout,'index.html')
+ self.listimg.append(hl.HyperLinkCtrl(self.panel_1, -1, fileout, URL=fileout))
else :
- self.listimg.append(wx.StaticBitmap(self.panel_1, -1, wx.Bitmap(self.fileout, wx.BITMAP_TYPE_ANY)))
+ self.listimg.append(wx.StaticBitmap(self.panel_1, -1, wx.Bitmap(self.fileout, wx.BITMAP_TYPE_ANY), name=`len(self.list_graph) - 1`))
+ self.listimg[-1].Bind(wx.EVT_RIGHT_DOWN, self.onrightclick)
self.sizer_3.Add( self.listimg[-1], 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
self.labels.append(wx.StaticText(self.panel_1,-1, txt))
self.sizer_3.Add(self.labels[-1], 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
self.sizer_3.Add(self.buts[-1], 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
self.sizer_3.Fit(self.panel_1)
self.Layout()
-
+
self.panel_1.Scroll(0,self.panel_1.GetScrollRange(wx.VERTICAL))
# elif self.param['typegraph'] == 2 :
# parametres = {'gexffile' : self.fileout,
# dial.link.SetURL(afcout)
# dial.Layout()
# dial.ShowModal()
-
+
class GraphPanel(wx.ScrolledWindow):
def __init__(self, parent, dico, list_graph, txt = '', style = wx.TAB_TRAVERSAL):
else :
self.listimg.append(wx.StaticBitmap(self, -1, wx.Bitmap(os.path.join(self.dirout,list_graph[i][0]), wx.BITMAP_TYPE_ANY)))
self.labels.append(wx.StaticText(self, -1, list_graph[i][1]))
- self.Bind(wx.EVT_MOTION, self.onMouseMove)
+ self.Bind(wx.EVT_MOTION, self.onMouseMove)
self.__set_properties()
self.__do_layout()
def __set_properties(self):
self.EnableScrolling(True,True)
- self.SetScrollRate(20, 20)
+ self.SetScrollRate(20, 20)
self.SetFocus()
self.sizer_1 = wx.BoxSizer(wx.VERTICAL)
self.sizer_2 = wx.BoxSizer(wx.VERTICAL)
self.sizer_3 = wx.BoxSizer(wx.HORIZONTAL)
- self.sizer_1.Add(self.deb)
+ self.sizer_1.Add(self.deb)
for i in range(0, len(self.listimg)):
self.sizer_1.Add(self.listimg[i], 1, wx.ALIGN_CENTER_HORIZONTAL, 0)
self.sizer_1.Add(self.labels[i], 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
def onMouseMove(self, event):
self.SetFocus()
-
+
def open_antiprofil(panel, AntiProfile, encoding) :
DictAnti = ReadProfileAsDico(AntiProfile, True, encoding)
self.parametres = parametres
self.pathout = PathOut(parametres['ira'])
self.pathout.basefiles(ChdTxtPathOut)
- DictPathOut = self.pathout
+ DictPathOut = self.pathout
self.DictPathOut = DictPathOut
self.dictpathout = DictPathOut
self.parent = parent
self.corpus.read_tableau(self.pathout['analyse.db'])
clnb = parametres['clnb']
- dlg = progressbar(self, maxi = 4 + clnb)
- self.clnb = clnb
+ dlg = progressbar(self, maxi = 4 + clnb)
+ self.clnb = clnb
print 'lecture des profils'
dlg.Update(2, _(u"Reading profiles").decode('utf8'))
-
+
DictProfile = ReadProfileAsDico(Profile, Alceste, self.encoding)
self.DictProfile = DictProfile
self.cluster_size = []
panel.TabChdSim.AddPage(self.prof_seg_nb, _(u"Repeated segments profiles").decode('utf8'))
# panel.Bind(wx.EVT_BUTTON, self.ongetrapport, id = self.ID_rapport)
+ if os.path.exists(os.path.join(self.parametres['pathout'], 'tgenchi2.csv')) :
+ self.parametres['tgenspec'] = os.path.join(self.parametres['pathout'], 'tgenchi2.csv')
+ TgenLayout(panel)
+ panel.TabChdSim.SetSelection(0)
self.parent.nb.AddPage(panel, _(u"Clustering").decode('utf8') + ' - %s' % corpname)
self.parent.ShowTab(True)
self.parent.nb.SetSelection(self.parent.nb.GetPageCount() - 1)
dial.Destroy()
self.corpus.get_stat_by_cluster(fileout)
msg = u"Fini !"
- dlg = wx.MessageDialog(self.parent, msg, _(u"Stat by cluster").decode('utf8'), wx.OK | wx.NO_DEFAULT | wx.ICON_INFORMATION)
+ dlg = wx.MessageDialog(self.parent, msg, _(u"Stat by cluster").decode('utf8'), wx.OK | wx.ICON_INFORMATION)
dlg.CenterOnParent()
if dlg.ShowModal() == wx.ID_OK :
dlg.Destroy()
""" % datetime.datetime.now().ctime()
if istxt :
totocc = corpus.gettotocc()
- txt += u'nombre de textes: %i%s' % (corpus.getucinb(), sep)
- txt += u'nombre de segments de textes: %i%s' % (corpus.getucenb(), sep)
- txt += u'nombre de formes: %i%s' % (len(corpus.formes), sep)
- txt += u'nombre d\'occurrences: %i%s' % (totocc, sep)
- txt += u'moyenne d\'occurrences par forme: %f%s' % (float(totocc) / float(len(self.corpus.formes)), sep)
- txt += u'nombre de lemmes: %i%s' % (len(corpus.lems), sep)
- txt += u'nombre de formes actives: %i%s' % (corpus.getactivesnb(1), sep)
- txt += u'nombre de formes supplémentaires: %i%s' % (corpus.getactivesnb(2), sep)
- txt += u'nombre de formes actives de fréquence >= %i: %i%s' % (parametres['eff_min_forme'], parametres['nbactives'], sep)
- txt += u'moyenne d\'occurrences par segments :%f%s' % (float(totocc) / float(corpus.getucenb()), sep)
+ txt += ': '.join([_(u'Number of texts').decode('utf8'), u'%i%s' % (corpus.getucinb(), sep)])
+ txt += ': '.join([_(u'Number of text segments').decode('utf8'), '%i%s' % (corpus.getucenb(), sep)])
+ txt += ': '.join([_(u'Number of forms').decode('utf8'), '%i%s' % (len(corpus.formes), sep)])
+ txt += ': '.join([_(u'Number of occurrences').decode('utf8'), '%i%s' % (totocc, sep)])
+ #txt += u'moyenne d\'occurrences par forme: %f%s' % (float(totocc) / float(len(self.corpus.formes)), sep)
+ txt += ': '.join([_(u'Number of lemmas').decode('utf8'), '%i%s' % (len(corpus.lems), sep)])
+ txt += ': '.join([_(u'Number of active forms').decode('utf8'), '%i%s' % (corpus.getactivesnb(1), sep)])
+ txt += ': '.join([_(u'Number of supplementary forms').decode('utf8'), '%i%s' % (corpus.getactivesnb(2), sep)])
+ txt += ' >= '.join([_(u'Number of active forms with a frequency').decode('utf8'), '%i: %i%s' % (parametres['eff_min_forme'], parametres['nbactives'], sep)])
+ txt += ': '.join([_(u'Mean of forms by segment').decode('utf8'), '%f%s' % (float(totocc) / float(corpus.getucenb()), sep)])
if 'tailleuc1' in parametres :
if parametres['classif_mode'] == 0 :
- txt += u'taille rst1 / rst2: %i / %i - %i / %i%s' % (parametres['tailleuc1'], parametres['tailleuc2'], parametres['lenuc1'], parametres['lenuc2'], sep)
+ txt += ': '.join([_(u'Size of rst1 / rst2').decode('utf8'), '%i / %i - %i / %i%s' % (parametres['tailleuc1'], parametres['tailleuc2'], parametres['lenuc1'], parametres['lenuc2'], sep)])
else :
self.Ucenb = self.nbind
- txt += u'nombre d\'individus : %i%s' % (self.nbind, sep)
- txt += u'nombre de classes : %i%s' % (self.clnb, sep)
+ txt += ': '.join([_(u'Number of lines').decode('utf8'), '%i%s' % (self.nbind, sep)])
+ txt += ': '.join([_(u'Number of clusters').decode('utf8'), '%i%s' % (self.clnb, sep)])
if istxt :
- txt += u'nombre de classes : %i%s' % (parametres['clnb'], sep)
+ txt += ': '.join([_(u'Number of clusters').decode('utf8'), '%i%s' % (parametres['clnb'], sep)])
if parametres['classif_mode'] == 0 or parametres['classif_mode'] == 1 :
- txt += u'%i segments classés sur %i (%.2f%%)%s' % (sum([len(cl) for cl in corpus.lc]), corpus.getucenb(), (float(sum([len(cl) for cl in corpus.lc])) / float(corpus.getucenb())) * 100, sep)
+ txt += ' '.join(['%i' % sum([len(cl) for cl in corpus.lc]), _(u'segments classified on').decode('utf8'), '%i (%.2f%%)%s' % (corpus.getucenb(), (float(sum([len(cl) for cl in corpus.lc])) / float(corpus.getucenb())) * 100, sep)])
elif self.parametres['classif_mode'] == 2 :
- txt += u'%i textes classés sur %i (%.2f%%)%s' % (sum([len(cl) for cl in corpus.lc]), corpus.getucinb(), (float(sum([len(cl) for cl in corpus.lc]))) / float(corpus.getucinb()) * 100, sep)
+ txt += ' '.join([u'%i' % sum([len(cl) for cl in corpus.lc]), _(u'texts classified on').decode('utf8'), '%i (%.2f%%)%s' % (corpus.getucinb(), (float(sum([len(cl) for cl in corpus.lc]))) / float(corpus.getucinb()) * 100, sep)])
else :
- txt += u'%i segments classées sur %i (%.2f%%)%s' % (self.ucecla, self.Ucenb, (float(self.ucecla) / float(self.Ucenb)) * 100, sep)
+ txt += ' '.join(['%i' % self.ucecla, _(u'line classified on').decode('utf8'), '%i (%.2f%%)%s' % (self.Ucenb, (float(self.ucecla) / float(self.Ucenb)) * 100, sep)])
- txt += """
-###########################
-temps d'analyse : %s
-###########################
-""" % parametres.get('time', '')
+ txt += ''.join([sep, u'###########################', sep, _(u'time').decode('utf8'), ' : %s' % parametres.get('time', ''), sep, u'###########################', sep])
+
with open(self.pathout['pre_rapport'], 'w') as f :
f.write(txt)
self.page = page
parametres = self.page.parametres
ira = wx.GetApp().GetTopWindow()
+ tgenpath = os.path.join(parametres['pathout'], 'tgen.csv')
self.page.tgens, etoiles = ReadList(parametres['tgenspec'], ira.syscoding, sep="\t")
+ tgen = TGen(path = tgenpath, encoding = parametres['encoding'])
+ tgen.read()
+ tgenlempath = os.path.join(parametres['pathout'], 'tgenlemchi2.csv')
+ if os.path.exists(tgenlempath) :
+ self.page.parametres['tgenlemspec'] = tgenlempath
+ self.page.tgenlem, etoiles = ReadList(self.page.parametres['tgenlemspec'], ira.syscoding, sep="\t")
tgentab = False
gparent = None
+ if 'TabChdSim' in dir(page) :
+ page = page.TabChdSim
for i in range(page.GetPageCount()) :
tab = page.GetPage(i)
if 'gparent' in dir(tab) :
if tab.tgen :
tgentab = tab
break
+
if tgentab :
self.page.tgentab.RefreshData(self.page.tgens)
- self.page.SetSelection(i)
+ self.page.tgentab.tgens = tgen.tgen
+ self.page.tgentab.tgenlem = self.page.tgenlem
+ page.SetSelection(i)
else :
self.page.tgentab = ListForSpec(ira, gparent, self.page.tgens, etoiles[1:])
self.page.tgentab.tgen = True
- self.page.AddPage(self.page.tgentab, u'Tgens Specificities')
- self.page.SetSelection(self.page.GetPageCount() - 1)
+ self.page.tgentab.tgens = tgen.tgen
+ if os.path.exists(tgenlempath) :
+ self.page.tgentab.tgenlem = self.page.tgenlem
+ page.AddPage(self.page.tgentab, _(u'Tgens Specificities').decode('utf8'))
+ page.SetSelection(page.GetPageCount() - 1)
class dolexlayout :
def __init__(self, ira, corpus, parametres):
self.TabStat.parametres = parametres
self.ListPan = ListForSpec(ira, self, self.DictSpec, self.etoiles)
if os.path.exists(self.pathout['banalites.csv']) :
- self.listban = ListForSpec(ira, self, self.dictban, ['eff'] + self.etoiles)
+ self.listban = ListForSpec(ira, self, self.dictban, ['eff'] + self.etoiles, usefirst = True)
#self.ListPan2 = ListForSpec(sash.rightwin1, self, self.DictSpec, first)
self.ListPant = ListForSpec(ira, self, self.DictType, self.etoiles)
self.ListPanEff = ListForSpec(ira, self, self.DictEff, self.etoiles)
self.ListPanEffRelForme = ListForSpec(ira, self, self.DictEffRelForme, self.etoiles)
self.ListPanEffRelType = ListForSpec(ira, self, self.DictEffRelType, self.etoiles)
- self.TabStat.AddPage(self.ListPan, u'formes')
+ self.TabStat.AddPage(self.ListPan, _(u'Forms').decode('utf8'))
if os.path.exists(self.pathout['banalites.csv']) :
- self.TabStat.AddPage(self.listban, u'banalités')
- self.TabStat.AddPage(self.ListPant, u'Types')
- self.TabStat.AddPage(self.ListPanEff, u'Effectifs formes')
- self.TabStat.AddPage(self.ListPanEffType, u'Effectifs Type')
- self.TabStat.AddPage(self.ListPanEffRelForme, u'Effectifs relatifs formes')
- self.TabStat.AddPage(self.ListPanEffRelType, u'Effectifs relatifs Type')
+ self.TabStat.AddPage(self.listban, _(u'Banal forms').decode('utf8'))
+ self.TabStat.AddPage(self.ListPant, _(u'POS').decode('utf8'))
+ self.TabStat.AddPage(self.ListPanEff, _(u'Forms frequencies').decode('utf8'))
+ self.TabStat.AddPage(self.ListPanEffType, _(u'POS frequencies').decode('utf8'))
+ self.TabStat.AddPage(self.ListPanEffRelForme, _(u'Forms relative frequencies').decode('utf8'))
+ self.TabStat.AddPage(self.ListPanEffRelType, _(u'POS relative frequencies').decode('utf8'))
if self.parametres['clnb'] > 2 :
self.TabAFC = aui.AuiNotebook(self.TabStat, -1, wx.DefaultPosition)
list_graph=read_list_file(self.dictpathout['liste_graph_afcf'], encoding = self.encoding)
self.tabAFCGraph = GraphPanelAfc(self.TabAFC, self.dictpathout, list_graph, self.parametres['clnb'], itempath ='liste_graph_afcf', coding = self.encoding)
- self.TabAFC.AddPage(self.tabAFCGraph, 'AFC formes')
+ self.TabAFC.AddPage(self.tabAFCGraph, _(u'CA forms').decode('utf8'))
list_graph=read_list_file(self.dictpathout['liste_graph_afct'], encoding = self.encoding)
self.tabAFCTGraph = GraphPanelAfc(self.TabAFC, self.dictpathout, list_graph, self.parametres['clnb'], itempath ='liste_graph_afct', coding=self.encoding)
- self.TabAFC.AddPage(self.tabAFCTGraph, 'AFC type')
- self.TabStat.AddPage(self.TabAFC, 'AFC')
-
-
+ self.TabAFC.AddPage(self.tabAFCTGraph, _(u'CA POS').decode('utf8'))
+ self.TabStat.AddPage(self.TabAFC, _(u'CA').decode('utf8'))
-
-
- ira.nb.AddPage(self.TabStat, u'Spécificités')
+ ira.nb.AddPage(self.TabStat, ' - '.join([_(u'Specificities').decode('utf8'), self.parametres['name']]))
self.ira = ira
self.TabStat.corpus = self.corpus
#self.TabStatTot = wx.TextCtrl(self.TabStat, -1, style=wx.NO_BORDER | wx.TE_MULTILINE | wx.TE_RICH2)
list_graph = [['zipf.png', 'zipf']]
self.TabStatTot = GraphPanel(ira.nb, self.pathout, list_graph, self.result['glob'])
- self.TabStat.AddPage(self.TabStatTot, 'global')
+ self.TabStat.AddPage(self.TabStatTot, _(u'Abstract').decode('utf8'))
+
+ dictlabel = {'total' : _(u'Total').decode('utf8'),
+ u'formes_actives' : _(u'Actives forms').decode('utf8'),
+ u'formes_supplémentaires': _(u'Supplementary forms').decode('utf8'),
+ u'hapax' : _(u'Hapax').decode('utf8'),
+ }
+
for item in self.result:
if item != 'glob':
datam = [['forme', 'nb']]
self.ListPan = ListPanel(ira, self, self.result[item])
- self.TabStat.AddPage(self.ListPan, ' '.join(item.split('_')))
+ self.TabStat.AddPage(self.ListPan, dictlabel[item])
ira.nb.AddPage(self.TabStat, '%s' % parametres['name'])
ira.nb.SetSelection(ira.nb.GetPageCount() - 1)
ira.ShowAPane("Tab_content")
self.panel_1.SetBackgroundColour('white')
self.deb = wx.StaticText(self.panel_1, -1, txt)
dendro_img = wx.Image(os.path.join(self.ira.images_path,'but_dendro.png'), wx.BITMAP_TYPE_ANY).ConvertToBitmap()
+ dendro_liste_img = wx.Image(os.path.join(self.ira.images_path,'but_dendro_liste.png'), wx.BITMAP_TYPE_ANY).ConvertToBitmap()
+ dendro_cloud_img= wx.Image(os.path.join(self.ira.images_path,'but_dendro_cloud.png'), wx.BITMAP_TYPE_ANY).ConvertToBitmap()
self.butdendro = wx.BitmapButton(self, -1, dendro_img)
- self.butdendrotexte = wx.BitmapButton(self, -1, dendro_img)
- self.butdendrocloud = wx.BitmapButton(self, -1, dendro_img)
+ self.butdendrotexte = wx.BitmapButton(self, -1, dendro_liste_img)
+ self.butdendrocloud = wx.BitmapButton(self, -1, dendro_cloud_img)
for i in range(0,len(list_graph)):
if os.path.exists(os.path.join(self.dirout,list_graph[i][0])) :
self.param['width'] = dial.m_spinCtrl2.GetValue()
self.param['height'] = dial.m_spinCtrl1.GetValue()
self.param['type_dendro'] = dial.m_choice1.GetSelection()
- self.param['color_nb'] = dial.m_radioBox1.GetSelection()
- self.param['taille_classe'] = dial.m_checkBox1.GetValue()
- self.param['type_tclasse'] = dial.m_radioBox2.GetSelection()
self.param['svg'] = dial.choice_format.GetSelection()
+ if self.param['typedendro'] == 'classique' :
+ self.param['color_nb'] = dial.m_radioBox1.GetSelection()
+ self.param['taille_classe'] = dial.m_checkBox1.GetValue()
+ self.param['type_tclasse'] = dial.m_radioBox2.GetSelection()
def make_dendro(self, dendro = 'simple') :
if self.param['svg'] :
""" % (ffr(dendro_path), ffr(self.ira.RscriptsPath['Rgraph']), ffr(classe_path))
if dendro == 'simple' :
txt += """
- open_file_graph("%s", width=%i, height=%i)
+ open_file_graph("%s", width=%i, height=%i, svg=%s)
plot.dendropr(tree.cut1$tree.cl, classes, type.dendro="%s", histo=%s, bw=%s, lab=NULL, tclasse=%s)
- """ % (ffr(fileout), width, height, type_dendro, histo, bw, tclasse)
+ """ % (ffr(fileout), width, height, svg, type_dendro, histo, bw, tclasse)
elif dendro == 'texte' :
txt += """
load("%s")
source("%s")
+ if (is.null(debsup)) {
+ debsup <- debet
+ }
chistable <- chistabletot[1:(debsup-1),]
open_file_graph("%s", width=%i, height=%i, svg = %s)
plot.dendro.prof(tree.cut1$tree.cl, classes, chistable, nbbycl = 60, type.dendro="%s", bw=%s, lab=NULL)
txt += """
load("%s")
source("%s")
+ if (is.null(debsup)) {
+ debsup <- debet
+ }
chistable <- chistabletot[1:(debsup-1),]
open_file_graph("%s", width=%i, height=%i, svg=%s)
plot.dendro.cloud(tree.cut1$tree.cl, classes, chistable, nbbycl = 300, type.dendro="%s", bw=%s, lab=NULL)
tmpfile = tempfile.mktemp()
with open(tmpfile, 'w') as f :
f.write(txt)
+ busy = wx.BusyInfo(_("Please wait...").decode('utf8'), self.parent)
+ wx.SafeYield()
error = exec_rcode(self.ira.RPath, tmpfile, wait=True)
+ del busy
check_Rresult(self.ira, error)
self.list_graph.append([fileout, 'Dendrogramme CHD1 - %s' % type_dendro])
print_liste(self.dictpathout['liste_graph_chd'], self.list_graph)
def ondendro(self, evt):
+ self.param['typedendro'] = 'classique'
dial = PrefDendro(self.ira, self.param)
val = dial.ShowModal()
if val == wx.ID_OK :
self.make_dendro()
def ondendrotexte(self, evt):
+ self.param['typedendro'] = 'texte'
dial = PrefDendro(self.ira, self.param)
val = dial.ShowModal()
if val == wx.ID_OK :
self.make_dendro(dendro = 'texte')
def ondendrocloud(self, evt):
+ self.param['typedendro'] = 'cloud'
dial = PrefDendro(self.ira, self.param)
val = dial.ShowModal()
if val == wx.ID_OK :
ira.nb.AddPage(self.sheet, matrix.parametres['matrix_name'])
self.sheet.Populate(matrix.csvtable)
self.sheet.parametres = matrix.parametres
- #self.ira.ShowMenu(_(u"View").decode('utf8'))
- #self.ira.ShowMenu(_(u"Matrix analysis").decode('utf8'))
- #self.ira.ShowMenu(_(u"Text analysis").decode('utf8'), False)
- #self.parent.type = "Data"
- #self.parent.DataPop = False
ira.nb.SetSelection(ira.nb.GetPageCount() - 1)
ira.ShowAPane("Tab_content")
- #self.ira.OnViewData('')
-
-
-
class CopusPanel(wx.Panel) :
def __init__(self, parent, parametres) :
fgSizer5.SetNonFlexibleGrowMode( wx.FLEX_GROWMODE_SPECIFIED )
self.fgSizer5 = fgSizer5
- self.m_staticText18 = wx.StaticText( self, wx.ID_ANY, u"Description du corpus", wx.DefaultPosition, wx.DefaultSize, 0 )
+ self.m_staticText18 = wx.StaticText( self, wx.ID_ANY, _(u"Description of corpus").decode('utf8'), wx.DefaultPosition, wx.DefaultSize, 0 )
self.m_staticText18.Wrap( -1 )
fgSizer5.Add( self.m_staticText18, 0, wx.ALL, 5 )
self.m_staticText21.Wrap( -1 )
fgSizer5.Add( self.m_staticText21, 0, wx.ALL, 5 )
- description = {'lang' : u'langue',
- 'encoding' : u'encodage',
- 'ucinb' : u'Nombre de textes',
- 'ucenb' : u'Nombre de segments de texte',
- 'formesnb' : u'Nombre de formes',
- 'hapax' : u'Nombre d\'hapax'
+ description = {'lang' : _(u'Language').decode('utf8'),
+ 'encoding' : _(u'Characters set').decode('utf8'),
+ 'ucinb' : _(u'Number of texts').decode('utf8'),
+ 'ucenb' : _(u'Number of text segments').decode('utf8'),
+ 'formesnb' : _(u'Number of forms').decode('utf8'),
+ 'hapax' : _(u'Number of hapax').decode('utf8'),
}
keys = ['lang', 'encoding', 'originalpath', 'pathout', 'date', 'time']
self.fgSizer5.Add( text, 0, wx.ALL, 5 )
class DefaultTextLayout :
- def __init__(self, ira, corpus, parametres) :
+ def __init__(self, ira, corpus, parametres, cmd = False) :
self.pathout = PathOut(dirout = parametres['pathout'])
self.ira = ira
self.parent = ira
self.parametres = parametres
self.corpus = corpus
+ self.cmd = cmd
self.dolayout()
-
- def dolayout(self) :
+
+ def dolayout(self, cmd) :
log.info('no layout yet')
class WordCloudLayout(DefaultTextLayout):
self.ira.nb.SetSelection(self.ira.nb.GetPageCount() - 1)
self.ira.ShowAPane("Tab_content")
+class LabbeLayout(DefaultTextLayout):
+ def dolayout(self):
+ self.Tab = aui.AuiNotebook(self.ira.nb, -1, wx.DefaultPosition)
+ #if self.parametres['svg'] :
+ # list_graph = [['nuage_1.svg', 'Nuage']]
+ #else :
+ # list_graph = [['nuage_1.png', 'Nuage']]
+ list_graph = [['labbe-tree.png', _(u'Ward clustering (method ward2)').decode('utf8')],
+ ['labbe-heatmap.png', _(u'Heatmap').decode('utf8')],
+ ['labbe-matrix.png', _(u'Matrix').decode('utf8')]]
+ self.TabStatTot = GraphPanel(self.ira.nb, self.pathout, list_graph)
+ self.Tab.AddPage(self.TabStatTot, _(u"Labbe's distance").decode('utf8'))
+ self.Tab.corpus = self.corpus
+ self.Tab.parametres = self.parametres
+ self.ira.nb.AddPage(self.Tab, u'%s' % self.parametres['name'])
+ self.ira.nb.SetSelection(self.ira.nb.GetPageCount() - 1)
+ self.ira.ShowAPane("Tab_content")
+
+def blender(self):
+ nodesfile = self.pathout['nodes.csv']
+ edgesfile = self.pathout['edges.csv']
+ jsonout = self.pathout.makenew('graphe_json', 'json')
+ txt = """
+ library(igraph)
+ load("%s")
+ source("%s")
+ """ % (ffr(self.pathout['RData.RData']), ffr(self.parent.RscriptsPath['Rgraph']))
+ txt += """
+ nodesf <- "%s"
+ edgesf <- "%s"
+ """ % (ffr(nodesfile), ffr(edgesfile))
+ txt += """
+ if ("communities" %in% names(graph.simi)) {
+ community = TRUE
+ } else {
+ community = FALSE
+ }
+ graph.to.file(graph.simi, nodesfile = nodesf, edgesfile = edgesf, community = community)
+ """
+ filetmp = tempfile.mktemp()
+ with open(filetmp, 'w') as f :
+ f.write(txt)
+ exec_rcode(self.ira.RPath, filetmp)
+ GraphToJson(nodesfile, edgesfile, jsonout)
+ launchcommand(['/home/pierre/prog/blender-2.73-linux-glibc211-x86_64/blender', '-P', os.path.join(self.ira.AppliPath, 'network_to_blender.py'), jsonout])
+
+
class SimiLayout(DefaultTextLayout) :
def dolayout(self) :
self.pathout.basefiles(simipath)
self.indices = indices_simi
if os.path.exists(self.pathout['liste_graph']) :
list_graph = read_list_file(self.pathout['liste_graph'])
- else :
+ else :
list_graph = [['','']]
- notebook_flags = aui.AUI_NB_DEFAULT_STYLE | aui.AUI_NB_TAB_EXTERNAL_MOVE | aui.AUI_NB_TAB_MOVE | aui.AUI_NB_TAB_FLOAT
- self.tabsimi = aui.AuiNotebook(self.ira.nb, -1, wx.DefaultPosition)
- self.tabsimi.SetAGWWindowStyleFlag(notebook_flags)
- self.tabsimi.SetArtProvider(aui.ChromeTabArt())
- self.tabsimi.corpus = self.corpus
- self.tabsimi.parametres = self.parametres
- self.graphpan = GraphPanelSimi(self.tabsimi, self.pathout, list_graph)
- self.graphpan.Bind(wx.EVT_BUTTON, self.redosimi, self.graphpan.butafc)
- self.graphpan.Bind(wx.EVT_BUTTON, self.export, self.graphpan.butexport)
- self.tabsimi.AddPage(self.graphpan, 'Graph')
- self.ira.nb.AddPage(self.tabsimi, 'Analyse de graph')
- self.ira.ShowTab(True)
- self.ira.nb.SetSelection(self.ira.nb.GetPageCount() - 1)
-
+ if not self.cmd :
+ notebook_flags = aui.AUI_NB_DEFAULT_STYLE | aui.AUI_NB_TAB_EXTERNAL_MOVE | aui.AUI_NB_TAB_MOVE | aui.AUI_NB_TAB_FLOAT
+ self.tabsimi = aui.AuiNotebook(self.ira.nb, -1, wx.DefaultPosition)
+ self.tabsimi.SetAGWWindowStyleFlag(notebook_flags)
+ self.tabsimi.SetArtProvider(aui.ChromeTabArt())
+ self.tabsimi.corpus = self.corpus
+ self.tabsimi.parametres = self.parametres
+ self.graphpan = GraphPanelSimi(self.tabsimi, self.pathout, list_graph)
+ self.graphpan.Bind(wx.EVT_BUTTON, self.redosimi, self.graphpan.butafc)
+ self.graphpan.Bind(wx.EVT_BUTTON, self.export, self.graphpan.butexport)
+ self.graphpan.Bind(wx.EVT_BUTTON, self.blender, self.graphpan.butblender)
+ self.tabsimi.AddPage(self.graphpan, 'Graph')
+ self.ira.nb.AddPage(self.tabsimi, _(u'Graph analysis').decode('utf8'))
+ self.ira.ShowTab(True)
+ self.ira.nb.SetSelection(self.ira.nb.GetPageCount() - 1)
+
def redosimi(self, evt) :
- with open(self.pathout['selected.csv'],'r') as f :
- selected = f.read()
- selected = [int(val) for val in selected.splitlines()]
- if self.actives is None :
- with codecs.open(self.pathout['actives.csv'], 'r', self.parametres['encoding']) as f :
- self.actives = f.read()
- self.actives = self.actives.splitlines()#[act for act in self.actives.splitlines()]
- if os.path.exists(self.pathout['actives_nb.csv']) :
- with open(self.pathout['actives_nb.csv'], 'r') as f :
- act_nb = f.read()
- act_nb = act_nb.splitlines()
- dictcol = dict([[i, [self.actives[i], int(act_nb[i])]] for i, val in enumerate(self.actives)])
- else :
- dictcol = dict([[i, [act, self.corpus.getlemeff(act)]] for i, act in enumerate(self.actives)])
- #res = SelectColumn(self.ira, dictcol, self.actives, self.pathout['selected.csv'], selected = selected, dlg = True)
- #if res.ok :
- prep = PrepSimi(self.ira, self, self.parametres,self.pathout['selected.csv'], self.actives, indices_simi, wordlist = dictcol, selected = selected)
- if prep.val == wx.ID_OK :
- self.parametres = prep.parametres
-
- script = PrintSimiScript(self)
- script.make_script()
- pid = exec_rcode(self.ira.RPath, script.scriptout, wait = True)
- check_Rresult(self.ira, pid)
- if self.parametres['type_graph'] in [1,3] :
- if self.parametres['svg'] :
- filename, ext = os.path.splitext(script.filename)
- fileout = filename + '.svg'
- elif self.parametres['type_graph'] == 3 :
- fileout = script.filename
- parametres = {'gexffile' : fileout,
- 'dirout' : os.path.dirname(fileout),
- 'titre': 'Le titre',
- #'nodemin': self.param['txt_min'],
- #'nodemax': self.param['txt_max'],
- #'bargraphw' : 60*int(self.param['clnb']),
- }
- web = WebExport(self.ira, parametres)
- fileout = web.exportsimi()
- else :
- fileout = script.filename
- if os.path.exists(self.pathout['liste_graph']):
- graph_simi = read_list_file(self.pathout['liste_graph'])
- graph_simi.append([os.path.basename(fileout), script.txtgraph])
- else :
- graph_simi = [[os.path.basename(fileout), script.txtgraph]]
- print_liste(self.pathout['liste_graph'], graph_simi)
- DoConf().makeoptions([self.parametres['type']], [self.parametres], self.pathout['Analyse.ira'])
- if self.parametres['type_graph'] in [1,3] :
- if self.parametres['svg'] or self.parametres['type_graph'] == 3 :
- self.graphpan.sizer_3.Add(hl.HyperLinkCtrl(self.graphpan.panel_1, -1, fileout, URL = fileout), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
- else :
- self.graphpan.sizer_3.Add(wx.StaticBitmap(self.graphpan.panel_1, -1, wx.Bitmap(fileout, wx.BITMAP_TYPE_ANY)), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
- self.graphpan.sizer_3.Add(wx.StaticText(self.graphpan.panel_1,-1, script.txtgraph), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
- self.graphpan.sizer_3.Fit(self.graphpan.panel_1)
- self.graphpan.Layout()
- self.graphpan.panel_1.Scroll(0,self.graphpan.panel_1.GetScrollRange(wx.VERTICAL))
+ redosimi(self, evt)
+# with open(self.pathout['selected.csv'],'r') as f :
+# selected = f.read()
+# selected = [int(val) for val in selected.splitlines()]
+# if self.actives is None :
+# with codecs.open(self.pathout['actives.csv'], 'r', self.parametres['encoding']) as f :
+# self.actives = f.read()
+# self.actives = self.actives.splitlines()#[act for act in self.actives.splitlines()]
+# if os.path.exists(self.pathout['actives_nb.csv']) :
+# with open(self.pathout['actives_nb.csv'], 'r') as f :
+# act_nb = f.read()
+# act_nb = act_nb.splitlines()
+# dictcol = dict([[i, [self.actives[i], int(act_nb[i])]] for i, val in enumerate(self.actives)])
+# else :
+# dictcol = dict([[i, [act, self.corpus.getlemeff(act)]] for i, act in enumerate(self.actives)])
+# #res = SelectColumn(self.ira, dictcol, self.actives, self.pathout['selected.csv'], selected = selected, dlg = True)
+# #if res.ok :
+# prep = PrepSimi(self.ira, self, self.parametres,self.pathout['selected.csv'], self.actives, indices_simi, wordlist = dictcol, selected = selected)
+# if prep.val == wx.ID_OK :
+# self.parametres = prep.parametres
+#
+# script = PrintSimiScript(self)
+# script.make_script()
+# pid = exec_rcode(self.ira.RPath, script.scriptout, wait = True)
+# check_Rresult(self.ira, pid)
+# if self.parametres['type_graph'] in [1,3] :
+# if self.parametres['svg'] :
+# filename, ext = os.path.splitext(script.filename)
+# fileout = filename + '.svg'
+# elif self.parametres['type_graph'] == 3 :
+# fileout = script.filename
+# parametres = {'gexffile' : fileout,
+# 'dirout' : os.path.dirname(fileout),
+# 'titre': 'Le titre',
+# #'nodemin': self.param['txt_min'],
+# #'nodemax': self.param['txt_max'],
+# #'bargraphw' : 60*int(self.param['clnb']),
+# }
+# web = WebExport(self.ira, parametres)
+# fileout = web.exportsimi()
+# else :
+# fileout = script.filename
+# if os.path.exists(self.pathout['liste_graph']):
+# graph_simi = read_list_file(self.pathout['liste_graph'])
+# graph_simi.append([os.path.basename(fileout), script.txtgraph])
+# else :
+# graph_simi = [[os.path.basename(fileout), script.txtgraph]]
+# print_liste(self.pathout['liste_graph'], graph_simi)
+# DoConf().makeoptions([self.parametres['type']], [self.parametres], self.pathout['Analyse.ira'])
+# if self.parametres['type_graph'] in [1,3] :
+# if self.parametres['svg'] or self.parametres['type_graph'] == 3 :
+# self.graphpan.sizer_3.Add(hl.HyperLinkCtrl(self.graphpan.panel_1, -1, fileout, URL = fileout), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
+# else :
+# self.graphpan.sizer_3.Add(wx.StaticBitmap(self.graphpan.panel_1, -1, wx.Bitmap(fileout, wx.BITMAP_TYPE_ANY)), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
+# self.graphpan.sizer_3.Add(wx.StaticText(self.graphpan.panel_1,-1, script.txtgraph), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
+# self.graphpan.sizer_3.Fit(self.graphpan.panel_1)
+# self.graphpan.Layout()
+# self.graphpan.panel_1.Scroll(0,self.graphpan.panel_1.GetScrollRange(wx.VERTICAL))
def export(self, evt) :
nb = 1
} else {
V(graph)$weight <- graph.simi$label.cex
}
- V(graph)$color <- vertex.label.color
+ V(graph)$rcolor <- vertex.label.color
V(graph)$frequences <- graph.simi$mat.eff
V(graph)$label <- as.character(graph.simi$v.label)
E(graph)$weight <- graph.simi$we.width
write.graph(graph, fileout, format = 'graphml')
#saveAsGEXF(graph, filepath = fileout)
- """ % (self.pathout['RData.RData'], self.parent.RscriptsPath['simi'], fileout)
+ """ % (ffr(self.pathout['RData.RData']), ffr(self.parent.RscriptsPath['simi']), fileout)
filetmp = tempfile.mktemp()
with open(filetmp, 'w') as f :
f.write(txt)
exec_rcode(self.ira.RPath, filetmp)
- mss = wx.MessageDialog(self.ira, fileout, u'Fichier exporté', wx.OK)
+ mss = wx.MessageDialog(self.ira, fileout, _(u'File exported').decode('utf8'), wx.OK)
mss.CenterOnParent()
mss.ShowModal()
mss.Destroy()
+
+ def blender(self, evt):
+ blender(self)
+
class DefaultMatLayout :
def __init__(self, parent, tableau, parametres) :
class FreqLayout(DefaultMatLayout) :
def dolayout(self) :
self.tab = wx.html.HtmlWindow(self.ira.nb, -1)
+ #self.tab = wx.html2.WebView.New(self)
res = normpath_win32(self.pathout['resultats.html']).replace('\\','/')
self.tab.LoadPage(res)
+ #self.tab.LoadURL(res)
self.tab.parametres = self.parametres
- self.ira.nb.AddPage(self.tab, u"Fréquences")
+ self.ira.nb.AddPage(self.tab, ' - '.join([_(u"Frequency").decode('utf8'), self.parametres['name']]))
class Chi2Layout(DefaultMatLayout) :
res = normpath_win32(self.pathout['resultats-chi2.html']).replace('\\','/')
self.tab.LoadPage(res)
self.tab.parametres = self.parametres
- self.ira.nb.AddPage(self.tab, ' - '.join([u"Chi2", "%s" % self.parametres['name']]))
+ self.ira.nb.AddPage(self.tab, ' - '.join([u"Chi2", self.parametres['name']]))
#self.ira.nb.SetSelection(self.ira.nb.GetPageCount() - 1)
#self.ira.ShowAPane("Tab_content")
class ProtoLayout(DefaultMatLayout) :
def dolayout(self) :
- list_graph = [['proto.png', 'Analyse prototypique']]
+ list_graph = [['proto.png', _(u'Prototypical analysis').decode('utf8')]]
#self.Tab = aui.AuiNotebook(self.ira.nb, -1, wx.DefaultPosition)
#if self.parametres['svg'] :
# list_graph = [['nuage_1.svg', 'Nuage']]
#self.Tab.AddPage(self.TabProto, 'Analyse Prototypique')
#self.Tab.corpus = self.corpus
self.TabProto.parametres = self.parametres
- self.ira.nb.AddPage(self.TabProto, 'Analyse Prototypique - %s' % self.parametres['name'])
+ self.ira.nb.AddPage(self.TabProto, ' - '.join([_(u'Prototypical analysis').decode('utf8'), self.parametres['name']]))
#self.ira.nb.SetSelection(self.ira.nb.GetPageCount() - 1)
#self.ira.ShowAPane("Tab_content")
self.graphpan = GraphPanelSimi(self.tabsimi, self.pathout, list_graph)
self.graphpan.Bind(wx.EVT_BUTTON, self.redosimi, self.graphpan.butafc)
self.graphpan.Bind(wx.EVT_BUTTON, self.export, self.graphpan.butexport)
+ self.graphpan.Bind(wx.EVT_BUTTON, self.blender, self.graphpan.butblender)
self.tabsimi.AddPage(self.graphpan, 'Graph')
self.tabsimi.parametres = self.parametres
- self.parent.nb.AddPage(self.tabsimi, 'Analyse de graph')
+ self.parent.nb.AddPage(self.tabsimi, ' - '.join([_(u'Graph analysis').decode('utf8'), self.parametres['name']]))
#self.parent.ShowTab(True)
#self.parent.nb.SetSelection(self.parent.nb.GetPageCount() - 1)
'halo' : self.dial.halo.GetValue(),
'com' : self.dial.comcheck.GetValue(),
'communities' : self.dial.choix_com.GetSelection(),
+ 'edgecurved' : self.dial.check_curved.GetValue(),
}
if 'cexfromchi' in self.parametres :
paramsimi['cexfromchi'] = self.dial.checkit.GetValue()
E(graph)$weight <- graph.simi$we.width
write.graph(graph, fileout, format = 'graphml')
#saveAsGEXF(graph, filepath = fileout)
- """ % (self.pathout['RData.RData'], self.parent.RscriptsPath['simi'], fileout)
+ """ % (ffr(self.pathout['RData.RData']), ffr(self.parent.RscriptsPath['simi']), fileout)
filetmp = tempfile.mktemp()
with open(filetmp, 'w') as f :
f.write(txt)
exec_rcode(self.ira.RPath, filetmp)
- mss = wx.MessageDialog(self.ira, fileout, u'Fichier exporté', wx.OK)
+ mss = wx.MessageDialog(self.ira, fileout, _(u'File exported').decode('utf8'), wx.OK)
mss.CenterOnParent()
mss.ShowModal()
mss.Destroy()
+
+ def blender(self, evt):
+ blender(self)
class GraphPanelSimi(wx.Panel):
self.butafc = wx.BitmapButton(self, -1, afc_img)
export_img = wx.Image(os.path.join(self.ira.images_path,'button_export.jpg'), wx.BITMAP_TYPE_ANY).ConvertToBitmap()
self.butexport = wx.BitmapButton(self, -1, export_img)
+ blender_img = wx.Image(os.path.join(self.ira.images_path,'button_blender.png'), wx.BITMAP_TYPE_ANY)
+ blender_img.Rescale(32,32)
+ blender_img = blender_img.ConvertToBitmap()
+ self.butblender = wx.BitmapButton(self, -1, blender_img)
for i in range(0,len(list_graph)):
if os.path.exists(os.path.join(self.dirout,list_graph[i][0])) :
filename, ext = os.path.splitext(list_graph[i][0])
self.sizer_3 = wx.BoxSizer(wx.VERTICAL)
self.sizer_2.Add(self.butafc, 0, 0, 0)
self.sizer_2.Add(self.butexport, 0, 0, 0)
+ self.sizer_2.Add(self.butblender, 0, 0, 0)
for i in range(0, len(self.listimg)):
self.sizer_3.Add(self.listimg[i], 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
self.sizer_3.Add(self.labels[i], 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
projects / iramuteq / blobdiff