query
Generate a boolean column based on a query string, marking rows that match the condition.
Usage
The following example shows how the step can be used in a recipe.
Examples
Examples
This example creates a new boolean column that flags rows where the ‘cats’ column contains the value ‘red’:
This example creates a new boolean column that flags rows where the ‘cats’ column contains the value ‘red’:
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
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
The input dataset to evaluate against the query.
Outputs
Outputs
A boolean column indicating whether each row in the dataset matches the query.
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
The graphext advanced query used to identify rows to flag.
query
Generate a boolean column based on a query string, marking rows that match the condition.
Usage
The following example shows how the step can be used in a recipe.
Examples
Examples
This example creates a new boolean column that flags rows where the ‘cats’ column contains the value ‘red’:
This example creates a new boolean column that flags rows where the ‘cats’ column contains the value ‘red’:
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
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
The input dataset to evaluate against the query.
Outputs
Outputs
A boolean column indicating whether each row in the dataset matches the query.
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
The graphext advanced query used to identify rows to flag.