Stacked Density

Stacked density plot combines smooth curves for multiple groups, revealing overlaps and distribution trends.

Stacked Density

Processing

Stacked density plot combines smooth curves for multiple groups, revealing overlaps and distribution trends. This visualization brick prepares the necessary data structures for generating the density plot, which typically involves transforming quantitative data (values) grouped by categorical data (groups).

Inputs

values
The quantitative data used for calculating density.
groups
The categorical data used for grouping the density curves.

Inputs Types

Input Types
values List, DataSeries, NDArray, DataRecords, DataFrame
groups List, DataSeries, NDArray, DataRecords, DataFrame

You can check the list of supported types here: Available Type Hints.

Outputs

values
The input values data, passed through.
groups
The input groups data, passed through.

Outputs Types

Output Types
values List, DataSeries, NDArray, DataRecords, DataFrame
groups List, DataSeries, NDArray, DataRecords, DataFrame

You can check the list of supported types here: Available Type Hints.

Options

The Stacked Density brick contains some changeable options:

Values field
Specifies the name of the column containing the quantitative data used for density calculation. (Default: values)
Groups field
Specifies the name of the column containing the categorical data used to define the groups. (Default: groups)
Smoothed counts
If enabled, the density calculation will output smoothed counts instead of normalized density values. (Default: False)

Brick Info

version v0.2.0
python 3.10, 3.11, 3.12, 3.13
requirements
    -