filter_containing
Filter rows containing any or all of a number of specified values.
Includes or excludes rows of the input datset based on the values of a selected text or list column. Depending on the
configuration, if the column contains any or all of the specified values, the corresponding rows will be kept or dropped
in the output dataset.
“Containment” here means texts in a text column containing one or more specified substrings (words), or lists in a
list column containing one or more elements matching the specified values. See below for illustrative examples.
Usage
The following examples show how the step can be used in a recipe.Examples
Examples
E.g., to keep only those rows whose values in the “address” column contain the text string “Madrid”:
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 dataset containing the same columns as the input dataset, but including or excluding the matched rows.
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.Values to be matched in each row to decide its inclusion or exclusion.
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, matching rows will be excluded from the output dataset.
I.e., only rows not containing the specified values will be returned.Rows must contain all specified value to pass filter, rather than any.
Text values must match case to pass filter.