bluegill2> git diff ./app/display/model/src/main/resources/examples/table/server.py
diff --git a/app/display/model/src/main/resources/examples/table/server.py b/app/display/model/src/main/resources/examples/ta
index d8e6d17..791040e 100644
--- a/app/display/model/src/main/resources/examples/table/server.py
+++ b/app/display/model/src/main/resources/examples/table/server.py
@@ -12,7 +12,7 @@ print("")
#nt_table: complies with NTTable Normative Type
#note: Unless the PvObject's 'values' field is created with an ordered dict, the ordering will be lost.
ntTablePV = PvObject( {'labels' : [STRING],
- 'value' : OrderedDict([('id_field', [INT]), ('name_field', [STRING]), ('description_field', [STRING])
+ 'value' : dict(OrderedDict([('id_field', [INT]), ('name_field', [STRING]), ('description_field', [STR
'epics:nt/NTTable:1.0')
ntTablePV['labels'] = ['ID', 'Name', 'Description']
#every field under "value" must have the same length (number of elements)
@@ -23,9 +23,10 @@ ntTablePV.setStructure({'id_field': [1, 2, 3, 4],
#table: a table-like pv that contains a "value" which is a structure
#tablePV is not an NTTable because "dingus" is a structure, not a scalar type
#Only the "value" field is displayed; the meta-data field is ignored
-dingus_types = OrderedDict([('Name', [STRING]), ('Quality', [DOUBLE])])
-value_types = OrderedDict([('OK', [BOOLEAN]), ('Dingus', dingus_types)])
+dingus_types = dict(OrderedDict([('Name', [STRING]), ('Quality', [DOUBLE])]))
+value_types = dict(OrderedDict([('OK', [BOOLEAN]), ('Dingus', dingus_types)]))
tablePV = PvObject({'meta_data' : STRING, 'value' : value_types})
+tablePV.useNumPyArrays = False
tablePV['meta_data'] = 'Some example meta-data stuff'
dingus = {'Name' : ["Thing1", "Thing2", "Thing3"], 'Quality' : [90, 50, 75]}