removed old category parsing from vector upload

clustergrammer/load_vect_post.py

@@ -1,6 +1,5 @@
 def main(real_net, vect_post):
   import numpy as np
-  import categories
   from copy import deepcopy
   from __init__ import Network
   import proc_df_labels
@@ -11,15 +10,9 @@ def main(real_net, vect_post):
 
   all_rows = []
   all_sigs = []
-  tmp_col_cat = {}
-  is_col_cat = False
   for inst_sig in sigs:
     all_sigs.append(inst_sig['col_name'])
 
-    if 'cat' in inst_sig:
-      is_col_cat = True
-      tmp_col_cat[inst_sig['col_name']] = inst_sig['cat']
-
     col_data = inst_sig['data']
 
     for inst_row_data in col_data:
@@ -31,26 +24,6 @@ def main(real_net, vect_post):
   net.dat['nodes']['row'] = all_rows
   net.dat['nodes']['col'] = all_sigs
 
-  if is_col_cat:
-    all_cat = []
-
-    for tmp_sig in all_sigs:
-      all_cat.append(tmp_col_cat[tmp_sig])
-
-    net.dat['node_info']['col']['cat-0'] = all_cat
-
-    categories.dict_cat(net)
-
-    net.dat['node_info']['col']['full_names'] = []
-
-    # construct full_names from single column category
-    # need to improve
-    for inst_index in range(len(all_cat)):
-      inst_cat = all_cat[inst_index]
-      inst_name = net.dat['nodes']['col'][inst_index]
-      inst_tuple = (inst_name, inst_cat)
-      net.dat['node_info']['col']['full_names'].append(inst_tuple)
-
   net.dat['mat'] = np.empty((len(all_rows), len(all_sigs)))
   net.dat['mat'][:] = np.nan
 

fake_vect_post.py

@@ -61,11 +61,6 @@ def make_json():
     inst_col['col_name'] = col_name
     inst_col['link'] = 'col-link'
 
-    # if col_num < 5:
-    #   inst_col['cat'] = 'brain'
-    # else:
-    #   inst_col['cat'] = 'lung'
-
     # save to columns
     inst_col['data'] = [] #vector