Add new directory containing python parser ros

python_parser_ros/display_topics.py

@@ -25,7 +25,7 @@ def save_rosbags_topics(file_name : str, directory :  str):
 
 		content_split = content.split("/")[-1]
 		
-		#Case when you specify the directory containing the rosbags files or read directory the file
+		
 		b = bagreader(content)
 		df_topics = b.topic_table
 		df_topics.to_csv(os.path.join(directory,content_split[:-5]+'.csv'))

python_parser_ros/save_topics_format.py

@@ -9,6 +9,12 @@ import shutil
 
 def convert_topics_to_file(files , topics , directory):
   
+
+  """
+  This function allows to extract the data published in the topics choosen in the command line and save all the topics choosen in a new directory
+  which in this directory there are each new directory containing the data topics save into a csv and matlab format.
+  """
+
   if(directory not in os.listdir()):
     os.mkdir(directory)
   else:
@@ -31,7 +37,7 @@ def convert_topics_to_file(files , topics , directory):
           os.mkdir(os.path.join(directory , file_split))
 
         data_frame.to_csv(os.path.join(directory , file_split , file_split+'.csv'))
-        print("Convert the topic {} to a csv format in the directory {}".format(topic , os.path.join(directory , file_split)))
+        print("Convert the topic {} to a csv format in the directory {}.csv".format(topic , os.path.join(directory , file_split)))
         data_mat = data_frame.to_dict('list')
         topic_name = topic.replace('/' , '_')
         savemat(os.path.join(directory , file_split , file_split+'.mat') , data_mat)
@@ -40,7 +46,7 @@ def convert_topics_to_file(files , topics , directory):
 
       except Exception as e: 
 
-        print('Unable to read the topic or other probles ... {}'.format(e))
+        print('Unable to read the topic or the file speciefied ...Error :  {}'.format(e))