glue manipulation code

glue_manipulation.py

import glue

clients_classes = (glue.clients.HistogramClient,glue.clients.ImageClient,glue.clients.ScatterClient)

clients = []

for i in range(size(hub._subscriptions.keys())):
      tmp = hub._subscriptions.keys()[i]
      if isinstance(tmp, glue.clients.HistogramClient):
         is_class = 'histogram'
      elif  isinstance(tmp, glue.clients.ImageClient):
         is_class = 'image'
      elif  isinstance(tmp, glue.clients.ScatterClient):
         is_class = 'scatter'
      else :
         is_class = 'noclient'
      if is_class != 'noclient' :
         print '%s client instance at position %d: %40s' % (is_class,i,tmp)
         print 'X_label : %s' % (tmp.axes.get_xlabel())
         print 'Y_label : %s' % (tmp.axes.get_ylabel())
         print '-'*10
      clients.append(is_class)
# 
# scatter client instance at position 4: <glue.clients.scatter_client.ScatterClient object at 0x12e2b7290>
# X_label : RandomPCA comp 1
# Y_label : K-Means_StandardScaler_2_classes
# ----------
# image client instance at position 7: <glue.clients.image_client.ImageClient object at 0x12db05310>
# X_label : World 1
# Y_label : World 0
# ----------
# scatter client instance at position 9: <glue.clients.scatter_client.ScatterClient object at 0x12f786d50>
# X_label : elmap_casi
# Y_label : elmap_ssi
# ----------
# scatter client instance at position 11: <glue.clients.scatter_client.ScatterClient object at 0x13038e1d0>
# X_label : max_surf_temperature
# Y_label : crustal_thickness
# ----------
# image client instance at position 12: <glue.clients.image_client.ImageClient object at 0x114f231d0>
# X_label : World 1
# Y_label : World 0
# ----------
# histogram client instance at position 13: <glue.clients.histogram_client.HistogramClient object at 0x117733050>
# X_label : max_surf_temperature
# Y_label : N
# ----------


i = 13
plo = hub._subscriptions.keys()[i]
plo.axes.set_xlabel('Crustal Thickness (km)')
# plo.axes.set_xlabel('Maximum Surface Temperature (K)')
# plo.axes.set_ylabel('Mg/Si')
plo.axes.set_ylabel('Frequency')
# update plot
plo.axes.figure.canvas.draw()


path = '/Users/damo_ma/Documents/Dropbox/work/python/LPCSC2014/'
img_type = 'pdf'
if clients[i] == 'histogram':
   name = ('%s_%s.%s') % (clients[i],plo.axes.get_xlabel(),img_type)
elif  clients[i] == 'image':
   name = ('%s_%s.%s') % (clients[i],plo.axes.get_xlabel(),img_type)
elif  clients[i] == 'scatter':
# FIXME extract image title or variable visualized! 
   name = ('%s_%s_vs_%s.%s') % (clients[i],plo.axes.get_xlabel(),plo.axes.get_ylabel(),img_type)
name = name.replace(" ", "_").replace("/", "")

plo.axes.figure.savefig(path+name, bbox_inches='tight',dpi=300)