Visualization - Agno

Prerequisites

The following example requires the matplotlib and openai libraries.

uv pip install -U matplotlib openai

Example

The following agent can create various types of data visualizations:

from agno.agent import Agent
from agno.tools.visualization import VisualizationTools

agent = Agent(
    instructions=[
        "You are a data visualization assistant that creates charts and plots",
        "Generate clear, informative visualizations based on user data",
        "Save charts to files and provide insights about the data",
        "Choose appropriate chart types for different data patterns",
    ],
    tools=[VisualizationTools(output_dir="my_charts")],
)

agent.print_response("Create a bar chart showing sales by quarter: Q1=100, Q2=150, Q3=120, Q4=180", stream=True)

Toolkit Params

Parameter	Type	Default	Description
`output_dir`	`str`	`"charts"`	Directory to save generated charts.
`enable_create_bar_chart`	`bool`	`True`	Enable bar chart creation.
`enable_create_line_chart`	`bool`	`True`	Enable line chart creation.
`enable_create_pie_chart`	`bool`	`True`	Enable pie chart creation.
`enable_create_scatter_plot`	`bool`	`True`	Enable scatter plot creation.
`enable_create_histogram`	`bool`	`True`	Enable histogram creation.
`all`	`bool`	`False`	Enable all functions.

Toolkit Functions

Function	Description
`create_bar_chart`	Create bar charts for categorical data comparison.
`create_line_chart`	Create line charts for time series and trend visualization.
`create_pie_chart`	Create pie charts for proportional data representation.
`create_scatter_plot`	Create scatter plots for correlation analysis.
`create_histogram`	Create histograms for data distribution visualization.

Developer Resources