filter_values
Filter rows where column matches specified values exactly.
Usage
The following examples show how the step can be used in a recipe.Examples
Examples
To create a new dataset keeping only those rows where values in the “salary” column are either “low” or “high”.
Inputs & Outputs
The following are the inputs expected by the step and the outputs it produces. These are generally columns (ds.first_name), datasets (ds or ds[["first_name", "last_name"]]) or models (referenced
by name e.g. "churn-clf").
Inputs
Inputs
An input dataset to filter.
Outputs
Outputs
A new dataset containing the same columns as the input dataset but only those rows passing the filter condition.
Configuration
The following parameters can be used to configure the behaviour of the step by including them in a json object as the last “input” to the step, i.e.step(..., {"param": "value", ...}) -> (output).
Parameters
Parameters
Name of column to be matched against the specified
values.Only rows matching these values exactly will be included in the resulting dataset.
May be a single value or a list of values to be matched.
Array items
Array items
Each item in array.
Examples
Examples
- the
- [‘the’, ‘cat’]
- 2
- [2, 3]
if
true, only rows not matching the specified values will be included in the resulting dataset.