Sorting

We wish to sort the rows of a data frame.

In this section we cover sorting the rows of a data frame. In particular, we cover the following scenarios:

  • Basic Sorting where we specify the columns we wish to sort by explicitly by specifying their name. We cover three scenarios:
    • Single Column where we sort the rows of a data frame by one column.
    • Multiple Columns where we sort the rows of a data frame by the values of two or more columns.
  • Custom Sorting where we cover how to sort by a transformation of the values of one or more columns instead of by the values themselves e.g. we want to sort by the numeric part of a string column.
  • Grouped Sorting where we cover sorting a grouped data frame. Say we wish to look at the data in groups and we wish to have each group sorted by one or more columns.
  • Implicit Sorting where rather than identifying the columns we wish to sort by via their name, we identify them via one of their properties e.g. we wish to sort the rows of a data frame by columns with a name that ends with the string ‘_id’.
  • Dynamic Sorting where we specify the columns to sort by dynamically i.e. through a variable or a function argument.
PYTHON
I/O