Pie Chart
Pie chart illustrating the proportion of each category within a whole.
Pie Chart
Processing
This function generates a Pie Chart visualization, illustrating the proportion of each category within a whole dataset based on the provided values and groups. The input data is passed through unchanged to allow chaining with subsequent bricks.
Inputs
- values
- The quantitative data used to determine the size of the pie slices.
- groups
- The categorical data used to define the groups or labels for the slices.
Inputs Types
| Input | Types |
|---|---|
values |
List, DataSeries, NDArray, DataRecords, DataFrame |
groups |
List, DataSeries, NDArray, DataRecords, DataFrame |
You can check the list of supported types here: Available Type Hints.
Outputs
- values
- The quantitative data input, passed through unchanged.
- groups
- The categorical data input, passed through unchanged.
Outputs Types
| Output | Types |
|---|---|
values |
List, DataSeries, NDArray, DataRecords, DataFrame |
groups |
List, DataSeries, NDArray, DataRecords, DataFrame |
You can check the list of supported types here: Available Type Hints.
Options
The Pie Chart brick contains some changeable options:
- Values field
- Specifies the column or field in the input data that contains the quantitative values (the size of the slices). (Default:
values). - Groups field
- Specifies the column or field in the input data that contains the categorical data used for labeling and coloring the slices. (Default:
groups). - Data aggregation
- Defines the aggregation method (sum or count) used for calculating the slice size when handling multiple records within the same group. (Default:
count).
Brick Info
version
v0.2.0
python
3.10,
3.11,
3.12,
3.13
requirements
-
-