The final reshape
1. The final reshape
You have reached the end of this course on reshaping data with pandas.2. Congrats!
Congratulations! You have done a great job!3. Chapter 1
You started by understanding the concepts of long and wide formats and the advantages of using each. Then, you learned how to reshape data using the pivot method, using columns as unique variables and the index as identifiers for individual observations. You created pivot tables and studied the difference from using pivot(), as well as the advantages and best practices for using each.4. Chapter 2
You then advanced, learning to convert a DataFrame from wide to long format using the melt method and the wide_to_long function. Also, you saw how to handle string columns or modify the index by splitting a string column into two columns or concatenating multiple string columns into one.5. Chapter 3
In Chapter 3, you explored what a multi-level index is and the advantage of using them. You also saw how to stack and unstack multi-level index DataFrames. Because these processes generated new missing data, you learned to handle that missing data using several approaches.6. Chapter 4
Finally, you found out how to combine the reshaping process with the grouping process to produce fast data manipulations. You also transformed list-like values contained in a column of a DataFrame to separate rows. You saw the basic structure of JSON format and learned how to read it into a DataFrame. Moreover, you discover how to handle nested data in columns. You have mastered the concepts of reshaping data with pandas. You can start applying them in your own projects.7. Thank you!
Lastly, thank you for staying with me to the end of this journey! I wish you all the best in your path of learning.Create Your Free Account
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