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Sorting Data in Python With pandas (Overview)

Learning pandas sort methods is a great way to start with or practice doing basic data analysis using Python. Most commonly, data analysis is done with spreadsheets, SQL, or pandas. One of the great things about using pandas is that it can handle a large amount of data and offers highly performant data manipulation capabilities.

In this video course, you’ll learn how to use .sort_values() and .sort_index(), which will enable you to sort data efficiently in a DataFrame.

By the end of this video course, you’ll know how to:

  • Sort a pandas DataFrame by the values of one or more columns
  • Use the ascending parameter to change the sort order
  • Sort a DataFrame by its index using .sort_index()
  • Organize missing data while sorting values
  • Sort a DataFrame in-place using inplace set to True

For more information on concepts covered in this lesson, you can check out The pandas DataFrame: Working With Data Efficiently.


Sample Code (.zip)

1.5 KB

Course Slides (.pdf)

10.8 MB

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