Merge pull request #78 from NeuroML/experimental

 Fix for showing inhibitory connections as circle on graphs

Author: pgleeson

examples/LEMS_SimExample3.xml

@@ -2,7 +2,7 @@
 
     <!-- 
 
-        This LEMS file has been automatically generated using PyNeuroML v1.3.14 (libNeuroML v0.6.6)
+        This LEMS file has been automatically generated using PyNeuroML v1.3.17 (libNeuroML v0.6.6)
 
      -->
 

examples/LEMS_SimExample4.xml

@@ -2,7 +2,7 @@
 
     <!-- 
 
-        This LEMS file has been automatically generated using PyNeuroML v1.3.14 (libNeuroML v0.6.6)
+        This LEMS file has been automatically generated using PyNeuroML v1.3.17 (libNeuroML v0.6.6)
 
      -->
 

neuromllite/GraphVizHandler.py

@@ -508,7 +508,7 @@ def handle_population(
         self.pop_nml_component_objs[population_id] = component_obj
 
         if not self.include_input_pops and is_spiking_input_nml_cell(component_obj):
-            print("Ignoring %s as it's a spiking input population")
+            print_v("Ignoring %s as it's a spiking input population")
             return
 
         self.pop_sizes[population_id] = size
@@ -545,7 +545,7 @@ def handle_population(
             else:
                 fcolor = "#ffffff"
 
-            print('Color %s -> %s -> %s'%(properties['color'], rgb, color))
+            print_v('Color %s -> %s -> %s'%(properties['color'], rgb, color))
 
         if properties and "type" in properties:
             self.pop_types[population_id] = properties["type"]
@@ -634,18 +634,19 @@ def handle_projection(
         self.proj_post_pops[projName] = postPop
         self.proj_types[projName] = type
 
+
+        if type == "continuousProjection":
+            shape = self.CONT_CONN_ARROW_SHAPE
+            line = "solid"
+
         if prePop in self.pop_types:
             if "I" in self.pop_types[prePop]:
                 shape = self.INH_CONN_ARROW_SHAPE
 
         if type == "electricalProjection":
             shape = self.GAP_CONN_ARROW_SHAPE
             line = "dashed"
-
-        if type == "continuousProjection":
-            shape = self.CONT_CONN_ARROW_SHAPE
-            line = "solid"
-
+            
         if synapse_obj:
             self.proj_syn_objs[projName] = synapse_obj
             erev = self.get_reversal_potential_mV(synapse_obj)