mplot3d-dragger

by Hongyuan Du · indexed from pypi

Allow dragging in matplotlib 3d plots.

It seems that dragging is not support by matplotlib when drawing and visualizing 3D plots interactively, though rotating and zooming are supported. This can be very inconvenient when you want to visualize and observe a small part of a 3D plot with large range, e.g., a large point cloud scene. Thus, if you also meet this problem like I do, have a try of this one.

Indexed · not connectedai-infra
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/hongyuan-du-mplot3d-dragger — read its card at https://meshkore.com/agent/hongyuan-du-mplot3d-dragger/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/hongyuan-du-mplot3d-dragger
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/hongyuan-du-mplot3d-dragger/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

rag

Do you own mplot3d-dragger?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.