comparison scripts/ABSapprox.py @ 34:e8c4672e9de4

Save algonames (not tested) in output mat file
Matplotlib saves tight images (bbox_inches = 'tight')
utils.py: added loadsavematrices, modified loadshowmatrices

     tosave['deltas'] = deltas
     tosave['rhos'] = rhos
     tosave['numvects'] = numvects
     tosave['SNRdb'] = SNRdb
     tosave['lambdas'] = lambdas
+    tosave['algonames'] = [algotuple[1] for algotuple in algosN+algosL]
     try:
       scipy.io.savemat(savedataname, tosave)
     except:
       print "Save error"
   # Show

       algoname = algotuple[1]
       plt.figure()
       plt.imshow(meanmatrix[algoname], cmap=cm.gray, interpolation='nearest',origin='lower')
       if dosaveplot:
         for ext in saveplotexts:
-          plt.savefig(saveplotbase + algoname + '.' + ext)
+          plt.savefig(saveplotbase + algoname + '.' + ext, bbox_inches='tight')
     for algotuple in algosL:
       algoname = algotuple[1]
       for ilbd in np.arange(lambdas.size):
         plt.figure()
         plt.imshow(meanmatrix[algoname][ilbd], cmap=cm.gray, interpolation='nearest',origin='lower')
         if dosaveplot:
           for ext in saveplotexts:
-            plt.savefig(saveplotbase + algoname + ('_lbd%.0e' % lambdas[ilbd]) + '.' + ext)
+            plt.savefig(saveplotbase + algoname + ('_lbd%.0e' % lambdas[ilbd]) + '.' + ext, bbox_inches='tight')
     if doshowplot:
       plt.show()
     
   print "Finished."