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
-
-