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Naming conventions

DataFrame is a columnar data structure and is more oriented to column-wise operations. Most transformation operations start with column selector that selects target columns for the operation. Syntax of most column operations assumes that they are applied to columns, so they don't include word column in their naming.

On the other hand, the Kotlin DataFrame library follows Koltin Collections naming for row-wise operations as DataFrame can be interpreted as a Collection of rows. The slight naming difference with Kotlin Collection is that all operations are named in imperative way: sortBy, shuffle etc.

Pairs of column/row operations:

Horizontal (column) operations:

Vertical (row) operations:

Value modification:

Reshaping:

Learn how to:

Last modified: 11 June 2024