update plot script

scripts/plot-results.py

@@ -399,7 +399,7 @@ myPlot.on('plotly_click', function(data){
 """
 
 
-# In[7]:
+# In[8]:
 
 
 def create_figure_explored_states(table_explored_states, model):
@@ -426,11 +426,13 @@ def create_figure_explored_states(table_explored_states, model):
     table_stats = table_model.groupby(['property']).agg(['mean']) 
 
     fig = go.Figure()
+    max_x = 0
     for p in table_stats.index:
         data = table_model[table_model.property==p]
         stats = table_stats.loc[p]
         
         x_axis = np.arange(1, data['formula'].count()+1, 1)
+        max_x = max(max_x, x_axis[-1]+1)
         mean = stats['explored_states','mean']
         
         figure = px.scatter(data, 
@@ -457,7 +459,7 @@ def create_figure_explored_states(table_explored_states, model):
     fig.update_layout(title_text=model, title=LAYOUT_FIGURES['title'], 
                       width = 500, height = 500, margin=dict(r=110))
     
-    fig.update_xaxes(title="formula", range=[x_axis[0]-1, x_axis[-1]+1])
+    fig.update_xaxes(title="formula", range=[0, max_x])
     fig.update_yaxes(title="# explored states")
     
     fig.update_annotations(dict(
@@ -469,7 +471,7 @@ def create_figure_explored_states(table_explored_states, model):
     return fig
 
 
-# In[8]:
+# In[9]:
 
 
 # Experiment filters
@@ -588,7 +590,7 @@ plots = {
 
 # # Load Data
 
-# In[9]:
+# In[10]:
 
 
 # Root folder
@@ -602,7 +604,7 @@ OUTPUT_FOLDER = os.path.join(PROJECT_FOLDER,"results", "figures")
 create_folder(OUTPUT_FOLDER)
 
 
-# In[10]:
+# In[11]:
 
 
 # read data
@@ -615,7 +617,7 @@ df = df.drop(columns=['strategy', 'num_nodes', 'num_threads'])
 df.head()
 
 
-# In[11]:
+# In[12]:
 
 
 # ground truth for properties
@@ -635,7 +637,7 @@ p_df.sort_index(inplace=True)
 p_df.head()
 
 
-# In[12]:
+# In[13]:
 
 
 # table with times, verification output and error for each experiment
@@ -645,14 +647,14 @@ table.head()
 
 # # Preprocessing of data
 
-# In[13]:
+# In[14]:
 
 
 ZERO = 10e-5
 TIMEOUT = 10 * 60 # 10 minutes = 600 seconds
 
 
-# In[14]:
+# In[15]:
 
 
 # table with times for each experiment
@@ -670,7 +672,7 @@ table_time = pd.concat([table_time, p_df], axis=1)
 table_time.head()
 
 
-# In[15]:
+# In[16]:
 
 
 # table with verification output for each experiment
@@ -685,7 +687,7 @@ table_property = pd.concat([table_property, p_df], axis=1)
 table_property.head()
 
 
-# In[16]:
+# In[17]:
 
 
 # table with error for each experiment
@@ -694,7 +696,7 @@ table_error = table['error'].copy()
 table_error.head()
 
 
-# In[17]:
+# In[18]:
 
 
 # table with explored states for each experiment using ltsmin
@@ -712,7 +714,7 @@ table_explored_states = table_explored_states.reset_index()
 table_explored_states.head()
 
 
-# In[18]:
+# In[19]:
 
 
 # calculate the stats of the number of explored states
@@ -724,22 +726,22 @@ table_explored_states_stats.head()
 
 # # Examples
 
-# In[19]:
+# In[21]:
 
 
-create_figure_explored_states(table_explored_states, 'robot20')
+create_figure_explored_states(table_explored_states, 'spool1')
 
 
-# In[20]:
+# In[22]:
 
 
-create_figure(df, "philo10")
+create_figure(df, "spool1")
 
 
-# In[21]:
+# In[25]:
 
 
-create_log_figure(table_time, table_error, "philo10", "pmc-sog_otf_couv99-default_2_8", "pnml2lts-mc_dfs_1_16", True, open_logs_callback)
+create_log_figure(table_time, table_error, "spool1", "pmc-sog_otf_couv99-default_2_16", "pnml2lts-mc_dfs_1_16", True, open_logs_callback)
 
 
 # # Generate Figures