You now know how to save the data and labels from Pandas
DataFrame objects to different kinds of files. You also know how to load your data from files and create
You’ve used the Pandas
.to_csv() methods to read and write CSV files. You also used similar methods to read and write Excel, JSON, HTML, SQL, and pickle files. These functions are very convenient and widely used. They allow you to save or load your data in a single function or method call.
You’ve also learned how to save time, memory, and disk space when working with large data files:
- Compress or decompress files
- Choose the rows and columns you want to load
- Use less precise data types
- Split data into chunks and process them one by one
Congratulations, you made it to the end of the course! What’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment in the discussion section and let us know.
Steven Wolk on Aug. 19, 2021
I learned about Pandas and pickle files. You can really get into a pickle if you are not careful!