2. Working with Data in Pandas#

Covered in this chapter:

  1. How to Find Column Names

  2. How to Get a Quick Sense of the Dataset

  3. How to Grab a Specific Range of Rows

  4. How to Get a Quick Quantitative Understanding of the Dataset

  5. How to Find Specific Information in the Dataset

  6. How to use Or in a DataFrame query

  7. How to Sort Data by Single Column

  8. How to Reverse Sort Data by Single Column

  9. How to Sort Data by Multiple Columns

  10. How to Sort Data by Multiple Columns with Different Values Organized Differently

  11. How to Drop a Column in the DataFrame

  12. How to Remove Rows that have NaN in any Column

  13. How to Remove Rows that have NaN in a Specific Column

  14. How to Convert DataFrame Data Types (from Float to Int)