Bar Chart
Bar chart to compare values across categories.
Bar Chart
Processing
Bar chart to compare values across categories. This brick visualizes the relationship between categorical labels (X-axis) and quantitative values (Y-axis).
Inputs
- labels
- The data used for category labels (typically mapped to the X-axis).
- values
- The data used for quantitative values (typically mapped to the Y-axis).
Inputs Types
| Input | Types |
|---|---|
labels |
List, DataSeries, NDArray, DataRecords, DataFrame |
values |
List, DataSeries, NDArray, DataRecords, DataFrame |
You can check the list of supported types here: Available Type Hints.
Outputs
- labels
- The original labels input data, passed through for chaining to subsequent bricks.
- values
- The original values input data, passed through for chaining to subsequent bricks.
Outputs Types
| Output | Types |
|---|---|
labels |
List, DataSeries, NDArray, DataRecords, DataFrame |
values |
List, DataSeries, NDArray, DataRecords, DataFrame |
You can check the list of supported types here: Available Type Hints.
Options
The Bar Chart brick contains some changeable options:
- Labels field
- Specifies the field name within the input data (
labelsinput) that should be used for the X-axis categories. Defaults tolabels. - Values field
- Specifies the field name within the input data (
valuesinput) that should be used for the Y-axis quantitative values. Defaults tovalues. - Data aggregation
- Defines the mathematical method used to aggregate the values field if multiple records fall under the same label (e.g., sum, mean, max, min, count, stdev). Defaults to
count.
Brick Info
version
v0.2.0
python
3.10,
3.11,
3.12,
3.13
requirements
-
-