matplotlib.backend_managers

ToolManager

Class that makes the bridge between user interaction (key press, toolbar clicks, ..) and the actions in response to the user inputs.

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

Bases: object

Event for tool manipulation (add/remove)

class matplotlib.backend_managers.ToolManager(figure=None)

Bases: object

Helper class that groups all the user interactions for a FigureManager

Attributes

manager: FigureManager
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(name, tool, *args, **kwargs)

Add tool to ToolManager

If successful adds a new event tool_trigger_name where name is the name of the tool, this 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(name, warn=True)

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(name)

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(message, sender=None)

Emit a ToolManagerMessageEvent

remove_tool(name)

Remove tool from ToolManager

Parameters:

name : string

Name of the Tool

set_figure(figure, update_tools=True)

Sets the figure to interact with the tools

Parameters:

figure: `Figure`

update_tools: bool

Force tools to update figure

toolmanager_connect(s, func)

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(cid)

Disconnect callback id cid

Example usage:

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

tools

Return the tools controlled by ToolManager

trigger_tool(name, sender=None, canvasevent=None, data=None)

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(name, *keys)

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)

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)

Bases: matplotlib.backend_managers.ToolEvent

Event to inform that a tool has been triggered