fix: same scale for all the figures

scripts/plot-results.py

@@ -4,6 +4,13 @@
 # In[1]:
 
 
+ZERO = 10e-5
+TIMEOUT = 10 * 60 # 10 minutes = 600 seconds
+
+
+# In[2]:
+
+
 import os
 import pandas as pd
 import numpy as np
@@ -49,7 +56,7 @@ LAYOUT_FIGURES = dict(
 
 # # Auxiliary Functions
 
-# In[2]:
+# In[3]:
 
 
 def create_folder(path):
@@ -69,7 +76,7 @@ def create_folder(path):
         os.makedirs(path)
 
 
-# In[3]:
+# In[4]:
 
 
 def create_figure(df, model):
@@ -108,7 +115,7 @@ def create_figure(df, model):
     return figure
 
 
-# In[4]:
+# In[5]:
 
 
 def get_axis_title(experiment, show_strategy=True):
@@ -160,7 +167,7 @@ def get_axis_title(experiment, show_strategy=True):
     return title
 
 
-# In[5]:
+# In[6]:
 
 
 def create_log_figure(table, table_errors, model, tool_x, tool_y, show_strategy=True, callback=None):
@@ -198,13 +205,10 @@ def create_log_figure(table, table_errors, model, tool_x, tool_y, show_strategy=
     >>> fig = create_log_figure(table['time'], table['error'], 'philo10', 'pmc-sog_otfL_couv99-default_1_8', 'pmc-sog_otfP_couv99-default_1_8')
     """
     try:
-        min_values = table.loc[model].min()
-        max_values = table.loc[model].max()
-
-        min_value = min(min_values[tool_x], min_values[tool_y])/2.
+        min_value = ZERO
+        max_value = TIMEOUT
+        
         min_value_log = np.log10(min_value)
-
-        max_value = max(max_values[tool_x], max_values[tool_y])
         max_value_log = np.log10(max_value)
 
         table_model = table.loc[model]
@@ -284,7 +288,7 @@ def create_log_figure(table, table_errors, model, tool_x, tool_y, show_strategy=
         print(e)
 
 
-# In[6]:
+# In[7]:
 
 
 import webbrowser
@@ -399,7 +403,7 @@ myPlot.on('plotly_click', function(data){
 """
 
 
-# In[7]:
+# In[8]:
 
 
 def create_figure_explored_states(table_explored_states, model):
@@ -654,13 +658,6 @@ table.head()
 # In[14]:
 
 
-ZERO = 10e-5
-TIMEOUT = 10 * 60 # 10 minutes = 600 seconds
-
-
-# In[15]:
-
-
 # table with times for each experiment
 table_time = table['time'].copy()
 
@@ -676,7 +673,7 @@ table_time = pd.concat([table_time, p_df], axis=1)
 table_time.head()
 
 
-# In[16]:
+# In[15]:
 
 
 # table with verification output for each experiment
@@ -691,7 +688,7 @@ table_property = pd.concat([table_property, p_df], axis=1)
 table_property.head()
 
 
-# In[17]:
+# In[16]:
 
 
 # table with error for each experiment
@@ -700,7 +697,7 @@ table_error = table['error'].copy()
 table_error.head()
 
 
-# In[18]:
+# In[17]:
 
 
 # table with explored states for each experiment using ltsmin
@@ -718,7 +715,7 @@ table_explored_states = table_explored_states.reset_index()
 table_explored_states.head()
 
 
-# In[19]:
+# In[18]:
 
 
 # calculate the stats of the number of explored states
@@ -730,19 +727,19 @@ table_explored_states_stats.head()
 
 # # Examples
 
-# In[20]:
+# In[19]:
 
 
 create_figure_explored_states(table_explored_states, 'spool1')
 
 
-# In[21]:
+# In[20]:
 
 
 create_figure(df, "spool1")
 
 
-# In[22]:
+# In[ ]:
 
 
 create_log_figure(table_time, table_error, "spool1", "pmc-sog_otf_couv99-default_2_16", "pnml2lts-mc_dfs_1_16", True, open_logs_callback)
@@ -750,7 +747,7 @@ create_log_figure(table_time, table_error, "spool1", "pmc-sog_otf_couv99-default
 
 # # Generate Figures
 
-# In[23]:
+# In[ ]:
 
 
 # models