Heatmap

A heatmap visualizing values across two dimensions using color intensity.

Heatmap

Processing

A heatmap visualizes the distribution and frequency of data across two dimensions (X and Y) using color intensity. The input data streams are passed through unmodified.

Inputs

x
The primary data used for the horizontal dimension of the visualization.
y
The primary data used for the vertical dimension of the visualization.

Inputs Types

Input Types
x List, DataSeries, NDArray, DataRecords, DataFrame
y List, DataSeries, NDArray, DataRecords, DataFrame

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

Outputs

x
The input data provided for the X dimension, passed through.
y
The input data provided for the Y dimension, passed through.

Outputs Types

Output Types
x List, DataSeries, NDArray, DataRecords, DataFrame
y List, DataSeries, NDArray, DataRecords, DataFrame

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

Options

The Heatmap brick contains some changeable options:

X field
Defines the field (column name) in the input data that will be mapped to the X-axis (horizontal dimension).
X max bins
Sets the maximum number of bins used when aggregating data along the X-axis. Affects the granularity of the visualization.
Y field
Defines the field (column name) in the input data that will be mapped to the Y-axis (vertical dimension).
Y max bins
Sets the maximum number of bins used when aggregating data along the Y-axis. Affects the granularity of the visualization.

Brick Info

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