Colored Scatterplot
A scatterplot using color to distinguish categories or highlight a third variable.
Colored Scatterplot
Graph
Creates a scatterplot visualization that uses color encoding to distinguish between different categories or highlight values of a third variable.
Inputs
- x
- The data values for the horizontal (x) axis positioning of points in the scatterplot
- y
- The data values for the vertical (y) axis positioning of points in the scatterplot
- color
- The data values used for color encoding to distinguish categories or represent a third variable
Inputs Types
Input | Types |
---|---|
x |
List , DataSeries , NDArray , DataRecords , DataFrame |
y |
List , DataSeries , NDArray , DataRecords , DataFrame |
color |
List , DataSeries , NDArray , DataRecords , DataFrame |
You can check the list of supported types here: Available Type Hints.
Outputs
- x
- The processed x-axis data values passed through for the scatterplot
- y
- The processed y-axis data values passed through for the scatterplot
- color
- The processed color encoding data values passed through for the scatterplot
Outputs Types
Output | Types |
---|---|
x |
List , DataSeries , NDArray , DataRecords , DataFrame |
y |
List , DataSeries , NDArray , DataRecords , DataFrame |
color |
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' data field
- Specifies the field name to use for x-axis values from the input data
- 'y' data field
- Specifies the field name to use for y-axis values from the input data
- Groups field
- Specifies the field name to use for color grouping or categorical distinction in the visualization
Brick Info
version
v0.1.4
python
3.10,
3.11,
3.12,
3.13
requirements
-
-