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apply_ring_categorical_layout

Apply a categorical ring layout to visualize graph nodes grouped by attributes like 'type' or 'group', updating the graph visualization for clearer network pattern analysis.

Instructions

Apply a categorical ring layout to the graph using Graphistry's ring_categorical_layout API. Args: graph_id (str): The ID of the graph to modify. ring_col (str): The node column to use for determining ring membership (e.g., a categorical attribute like 'type' or 'group'). Returns: dict: { 'graph_id': ..., 'url': ... } with the updated visualization URL. Example: apply_ring_categorical_layout(graph_id, ring_col='type')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
graph_idYes
ring_colYes

Implementation Reference

  • The handler function decorated with @mcp.tool(), implementing the apply_ring_categorical_layout tool by applying Graphistry's ring_categorical_layout to the cached graph object based on the specified categorical column.
    @mcp.tool() async def apply_ring_categorical_layout(graph_id: str, ring_col: str) -> Dict[str, Any]: """ Apply a categorical ring layout to the graph using Graphistry's ring_categorical_layout API. Args: graph_id (str): The ID of the graph to modify. ring_col (str): The node column to use for determining ring membership (e.g., a categorical attribute like 'type' or 'group'). Returns: dict: { 'graph_id': ..., 'url': ... } with the updated visualization URL. Example: apply_ring_categorical_layout(graph_id, ring_col='type') """ if graph_id not in graph_cache: raise ValueError(f"Graph not found: {graph_id}") g = graph_cache[graph_id]["graph"] g = g.ring_categorical_layout(ring_col) graph_cache[graph_id]["graph"] = g return {"graph_id": graph_id, "url": g.plot(render=False)}
  • The @mcp.tool() decorator registers the apply_ring_categorical_layout function as an MCP tool.
    @mcp.tool()

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