Colored Scatterplot
A scatterplot using color to distinguish categories or highlight a third variable.
Colored Scatterplot
Processing
This function generates a scatterplot visualization where the color of the data points is used to distinguish between different categories or to highlight a third variable in the dataset. This allows for the simultaneous visualization of three dimensions (X, Y, and Color/Category).
Inputs
- x
- The data to be used for the quantitative X-axis of the scatterplot.
- y
- The data to be used for the quantitative Y-axis of the scatterplot.
- categories
- The categorical or quantitative data used to determine the color mapping for the data points.
Inputs Types
| Input | Types |
|---|---|
x |
List, DataSeries, NDArray, DataRecords, DataFrame |
y |
List, DataSeries, NDArray, DataRecords, DataFrame |
categories |
List, DataSeries, NDArray, DataRecords, DataFrame |
You can check the list of supported types here: Available Type Hints.
Outputs
- x
- The original X data stream is passed through unchanged.
- y
- The original Y data stream is passed through unchanged.
- categories
- The original Categories data stream is passed through unchanged.
Outputs Types
| Output | Types |
|---|---|
x |
List, DataSeries, NDArray, DataRecords, DataFrame |
y |
List, DataSeries, NDArray, DataRecords, DataFrame |
categories |
List, DataSeries, NDArray, DataRecords, DataFrame |
You can check the list of supported types here: Available Type Hints.
Options
The Colored Scatterplot brick contains some changeable options:
- X field
- Specifies the column name or field used for the X-axis mapping in the visualization. (Default:
x) - Y field
- Specifies the column name or field used for the Y-axis mapping in the visualization. (Default:
y) - Categories field
- Specifies the column name or field used for color-coding the data points in the visualization. (Default:
categories)
Brick Info
version
v0.2.0
python
3.10,
3.11,
3.12,
3.13
requirements
-
-