plot_box
Generate box plots to compare data distributions by visualizing medians, quartiles, and outliers for statistical analysis.
Instructions
Create a box plot for comparing data distributions.
This tool generates box plots (box-and-whisker plots) showing median, quartiles, and outliers for one or more datasets.
Args: data: For direct input, list of lists (each sublist is a dataset). For file input, column name(s) separated by comma or single column. data_input: Optional. {"file_path": "path/to/file.csv"} or {"data": {...}} labels: Optional labels for each dataset style: Optional. {"title": "...", "xlabel": "...", "ylabel": "...", "grid": True} output: Optional. {"format": "png/pdf/svg", "width": 15, "height": 10, "dpi": 300}
Returns: PIL Image object or bytes containing the plot
Examples: Multiple datasets comparison: >>> plot_box( ... data=[[1, 2, 3, 4, 5], [2, 3, 4, 5, 6], [3, 4, 5, 6, 7]], ... labels=["Group A", "Group B", "Group C"] ... )
From CSV file:
>>> plot_box(
... data="scores",
... data_input={"file_path": "test_scores.csv"},
... style={"title": "Test Score Distribution"}
... )Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data | Yes | ||
| data_input | No | ||
| labels | No | ||
| style | No | ||
| output | No |