out_type in params.
Usage
The following examples show how the step can be used in a recipe.Examples
Examples
The following example combines first names, last names and a title to create a new column with values in the form “Dr. first_name last_name”:
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
One or more columns to concatenate.
Outputs
Outputs
Column containing the result of the concatenation.
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
A separator to use between elements of individual columns when concatenating as texts.
A prefix to prepend to the result of the concatenation (or to a single column if no more were provided).
A postfix to append to the result of the concatenation (or to a single column if no more were provided).
How to represent missing values (NaN) in the concatenated result.
If a “nan_as” value is specified, this will be used to fill in missing values during concatenation.
With
"nan_as": null the concatenation will produce a missing value in rows where at least 1 column
to be concatenated had a missing value.The semantic data type of the output column.
Note, if this type is not compatible with the result of the concatenation, the output may consist of missing values
(NaNs) only.Values must be one of the following:
category date number currency url boolean text list[category] list[date] list[number] list[currency] list[url] list[boolean]