plot_scatter
Generate scatter plots to visualize relationships between variables, with options to map point sizes and colors to additional data dimensions for multi-dimensional analysis.
Instructions
Create a scatter plot with optional size and color mapping.
This tool generates a scatter plot where point sizes and colors can represent additional data dimensions.
Args: x: X-axis data. Column name (string) if using data file, or list of values. y: Y-axis data. Column name (string) if using data file, or list of values. data_input: Optional. {"file_path": "path/to/file.csv"} or {"data": {...}} size: Optional point sizes. Column name, list of values, or single value. color: Optional point colors. Column name or list of values for colormap. style: Optional. {"title": "...", "xlabel": "...", "ylabel": "...", "colormap": "viridis", "grid": True} output: Optional. {"format": "png/pdf/svg", "width": 15, "height": 10, "dpi": 300}
Returns: PIL Image object or bytes containing the plot
Examples: Basic scatter plot: >>> plot_scatter(x=[1, 2, 3], y=[1, 4, 9])
Scatter with size and color mapping:
>>> plot_scatter(
... x="height",
... y="weight",
... size="age",
... color="bmi",
... data_input={"file_path": "health_data.csv"},
... style={"colormap": "plasma"}
... )Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| x | Yes | ||
| y | Yes | ||
| data_input | No | ||
| size | No | ||
| color | No | ||
| style | No | ||
| output | No |