Analysis of so6 air traffic file

Analysis of air traffic files (so6 format) with Python/pandas

The notebook shows how to load the traffic file as a pandas dataframe, and how to rapidly get:

• the number of flights in the so6 file
• the number of segments per flight
• the length of flights & the longest flight
• the top 10 aircraft types used
• the top 5 origin & destination airports
• the number of flights from one airport to another
• the most frequent city pairs
• the possible destinations from a given airport

Built With

• pandas - Python Data Analysis Library

Authors

• Thomas Dubot

License

This project is licensed under the MIT License - see the LICENSE.md file for details