matplotlib.backend_managers

class matplotlib.backend_managers.ToolEvent(name, sender, tool, data=None) [source]

Bases: object

Event for tool manipulation (add/remove).

class matplotlib.backend_managers.ToolManager(figure=None) [source]

Bases: object

Manager for actions triggered by user interactions (key press, toolbar clicks, ...) on a Figure.

Attributes:	figure : Figure Figure that holds the canvas. keypresslock : widgets.LockDraw LockDraw object to know if the canvas key_press_event is locked messagelock : widgets.LockDraw LockDraw object to know if the message is available to write

active_toggle

Currently toggled tools.

add_tool(self, name, tool, *args, **kwargs) [source]

Add tool to ToolManager.

If successful, adds a new event tool_trigger_{name} where {name} is the name of the tool; the event is fired everytime the tool is triggered.

Parameters:	name : str Name of the tool, treated as the ID, has to be unique. tool : class_like, i.e. str or type Reference to find the class of the Tool to added.

See also

matplotlib.backend_tools.ToolBase

The base class for tools.

Notes

args and kwargs get passed directly to the tools constructor.

canvas

Canvas managed by FigureManager.

figure

Figure that holds the canvas.

get_tool(self, name, warn=True) [source]

Return the tool object, also accepts the actual tool for convenience.

Parameters:	name : str, ToolBase Name of the tool, or the tool itself warn : bool, optional If this method should give warnings.

get_tool_keymap(self, name) [source]

Get the keymap associated with the specified tool.

Parameters:	name : string Name of the Tool
Returns:	list : list of keys associated with the Tool

message_event(self, message, sender=None) [source]

Emit a ToolManagerMessageEvent.

remove_tool(self, name) [source]

Remove tool named name.

Parameters:	name : string Name of the Tool

set_figure(self, figure, update_tools=True) [source]

Bind the given figure to the tools.

Parameters:	figure : Figure update_tools : bool Force tools to update figure

toolmanager_connect(self, s, func) [source]

Connect event with string s to func.

Parameters:	s : String Name of the event The following events are recognized 'tool_message_event' 'tool_removed_event' 'tool_added_event' For every tool added a new event is created 'tool_trigger_TOOLNAME` Where TOOLNAME is the id of the tool. func : function Function to be called with signature def func(event)

toolmanager_disconnect(self, cid) [source]

Disconnect callback id cid.

Example usage:

cid = toolmanager.toolmanager_connect('tool_trigger_zoom', onpress)
#...later
toolmanager.toolmanager_disconnect(cid)

tools

A dict mapping tool name -> controlled tool.

trigger_tool(self, name, sender=None, canvasevent=None, data=None) [source]

Trigger a tool and emit the tool_trigger_{name} event.

Parameters:	name : string Name of the tool sender : object Object that wishes to trigger the tool canvasevent : Event Original Canvas event or None data : Object Extra data to pass to the tool when triggering

update_keymap(self, name, *keys) [source]

Set the keymap to associate with the specified tool.

Parameters:	name : string Name of the Tool keys : keys to associate with the Tool

class matplotlib.backend_managers.ToolManagerMessageEvent(name, sender, message) [source]

Bases: object

Event carrying messages from toolmanager.

Messages usually get displayed to the user by the toolbar.

class matplotlib.backend_managers.ToolTriggerEvent(name, sender, tool, canvasevent=None, data=None) [source]

Bases: matplotlib.backend_managers.ToolEvent

Event to inform that a tool has been triggered.