| name | generate_chart |
| description | Generate charts and visualizations from data using matplotlib. |
| type | tool |
| category | code |
| tool | {"module":"app.skills.generate_chart.tool","function":"generate_chart","async":true} |
| requires | ["matplotlib"] |
| metadata | {"author":"oniva","version":"1.0.0"} |
| audit-level | basic |
Generate Chart
Generate charts from data.
Usage
result = await generate_chart(
data={"labels": ["A", "B", "C"], "values": [10, 20, 30]},
chart_type="bar",
title="Sales Data"
)
Parameters
| Parameter | Type | Required | Default | Description |
|---|
data | dict | Yes | - | Data with 'labels' and 'values' arrays |
chart_type | string | No | "bar" | Type: 'bar', 'line', 'pie' |
title | string | No | "Chart" | Chart title |
Response
{
"success": true,
"chart_type": "bar",
"image_base64": "iVBORw0KGgo...",
"image_url": "data:image/png;base64,iVBORw0KGgo..."
}
Examples
Bar chart
result = await generate_chart(
data={"labels": ["Q1", "Q2", "Q3", "Q4"], "values": [100, 150, 120, 180]},
chart_type="bar",
title="Quarterly Revenue"
)
Pie chart
result = await generate_chart(
data={"labels": ["Stocks", "Bonds", "Cash"], "values": [60, 30, 10]},
chart_type="pie",
title="Portfolio Allocation"
)