Added a script to main_launch.py and a test to explore_bag_data.ipynb to verify that data published to local_path is collected.

[ethanhu912]

Description

• Resolves Pathfinding data plotting workflow #753
• Added script to main_launch.py to automatically create a rosbag in that stores data published to local_path.
• Added a code cell to explore_bag_data.ipynb to display usable information from the first 5 points stored in the rosbag while the system is running

Verification

• Tested using the added code cell in explore_bag_data.ipynb to verify all fields are included and the correct data is being recorded.

[raghumanimehta]

• Added a code cell to explore_bag_data.ipynb to display usable information from the first 5 points stored in the rosbag while the system is running

Can you elaborate on this please? @ethanhu912

[ethanhu912]

• Added a code cell to explore_bag_data.ipynb to display usable information from the first 5 points stored in the rosbag while the system is running

Can you elaborate on this please? @ethanhu912

Yep! If you take a look at the cell above the one that I've added, you can see that Sean used df.head() to display the messages from local_path. These messages show that we have data for each field, but they're difficult to digest.

I've created a df_summary that creates a table to turn this into readable data from each message. If you compare both tables, you can see they essentially have the same fields but the added cell displays extracted data from the messages themselves like latitude, longitude, desired heading angle, etc.

I did this for testing because I couldn't tell from df.head() whether the local_path topic contained the correct data and whether rosbag was automatically recording this data, but now it's much easier to show.

df is a pandas DataFrame which is essentially just a table that displays each message.

Please let me know if you have any more questions!