pct_change
Calculate percentage change between consecutive numbers in a numeric column.
For a pair of consecutive numbers x1, x2 in the input column, calculates the difference between x2 and x1
expressed as a percentage of x1, i.e. 100 * (x2 - x1) / x1.
Usage
The following shows how the step can be used in a recipe.
Examples
Examples
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.
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
Outputs
Outputs
A numeric column with the calculated percentages.
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
Method to fill missing values (NaNs).
When forward, uses last valid observation to fill a gap. When backwards, uses next valid observation instead.
Values must be one of the following:
forwardbackward
Maximum number of consecutive NaNs to fill before stopping.
Values must be in the following range:
Whether to express result as proportion instead of percentage.
Whether to sort ascending instead of descending using the sort column before calculating the change.