Visualization

VisualizationTools enables agents to create various types of charts and plots using matplotlib.

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.

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

• View Tools Source
• Matplotlib Documentation