sdf_separate_column
Separate a Vector Column into Scalar Columns
Description
Given a vector column in a Spark DataFrame, split that into n separate columns, each column made up of the different elements in the column column.
Usage
sdf_separate_column(x, column, into = NULL)Arguments
| Argument | Description |
|---|---|
| x | A spark_connection, ml_pipeline, or a tbl_spark. |
| column | The name of a (vector-typed) column. |
| into | A specification of the columns that should be |
generated from column. This can either be a vector of column names, or an list mapping column names to the (1-based) index at which a particular vector element should be extracted.