Пример #1
0
def _cdict_from_cpt():
    import matplotlib as mpl
    lutsize = mpl.rcParams['image.lut']
    cdict = {}
    for k, v in cptdic.iteritems():
        cdict[k] = cpt2python(cptfldr + v)
        cdict[k + '_r'] = _reverse_cmap_spec(cdict[k])
    return cdict
Пример #2
0
def _cdict_from_cpt():
   import matplotlib as mpl
   lutsize = mpl.rcParams['image.lut']
   cdict = {}
   for k,v in cptdic.iteritems():
      cdict[k] = cpt2python(cptfldr+v)
      cdict[k+'_r'] = _reverse_cmap_spec(cdict[k])
   return cdict
Пример #3
0
def _cmap_d_from_cpt():
   cmap_d = {}
   for k,v in cptdic.iteritems():
      cmap_d[k] = _get_cm_from_cpt(filename=cptfldr+v,cmapname=k,
               lutsize=lutsize,inverse=False)
      cmap_d[k+'_r'] = _get_cm_from_cpt(filename=cptfldr+v,cmapname=k,
               lutsize=lutsize,inverse=True)
   return cmap_d
Пример #4
0
def _cmap_d_from_cpt():
    cmap_d = {}
    for k, v in cptdic.iteritems():
        cmap_d[k] = _get_cm_from_cpt(filename=cptfldr + v,
                                     cmapname=k,
                                     lutsize=lutsize,
                                     inverse=False)
        cmap_d[k + '_r'] = _get_cm_from_cpt(filename=cptfldr + v,
                                            cmapname=k,
                                            lutsize=lutsize,
                                            inverse=True)
    return cmap_d