Density

A density plot displays a smooth curve that estimates the distribution of a variable.

Density

Processing

A density plot displays a smooth curve that estimates the distribution of a variable. This function prepares the input data for visualization using a density plot, focusing on a single numerical variable.

Inputs

values
The data structure containing the numerical variable(s) for which the density distribution will be calculated.

Inputs Types

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

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

Outputs

values
The original input data structure, which is passed through after processing for visualization.

Outputs Types

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

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

Options

The Density brick contains some changeable options:

Values field
Specifies the column or field name in the input data that contains the numerical values used to estimate the density distribution.
Smoothed counts
If enabled, the density calculation will output smoothed counts instead of standard probability density estimates. (Default: False).

Brick Info

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