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Keeps or drops rows with specific row numbers, i.e. based on their 0-based, consecutive integer index.

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Usage

The following example shows how the step can be used in a recipe.

Examples

  • Example 1
  • Signature
To keep only rows with index 0, 2 and 4 (the first, third and fifth row)
filter_row_numbers(ds, {"row_numbers": [0, 2, 4]}) -> (ds_filtered)

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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").
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ds_in
dataset
required
An input dataset to filter.
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ds_out
dataset
required
A new dataset containing the same columns as the input dataset but only those rows passing the filter condition.

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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

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row_numbers
array[integer]
required
Ids of the rows to filter. Excepts either a single row (as a number) or a list of row numbers.
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Item
integer
Each item in array.
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exclude
boolean
default:"false"
if true, selected rows will be excluded from the resulting dataset.