On this page
matplotlib.backend_managers
- classmatplotlib.backend_managers.ToolEvent(name, sender, tool, data=None)[source]
-
Bases:
object
Event for tool manipulation (add/remove).
- classmatplotlib.backend_managers.ToolManager(figure=None)[source]
-
Bases:
object
Manager for actions triggered by user interactions (key press, toolbar clicks, ...) on a Figure.
- Attributes
- propertyactive_toggle
-
Currently toggled tools.
- add_tool(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 every time the tool is triggered.- Parameters
-
- namestr
-
Name of the tool, treated as the ID, has to be unique.
- toolclass_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.
- propertycanvas
-
Canvas managed by FigureManager.
- propertyfigure
-
Figure that holds the canvas.
- get_tool(name, warn=True)[source]
-
Return the tool object with the given name.
For convenience, this passes tool objects through.
- get_tool_keymap(name)[source]
-
Return the keymap associated with the specified tool.
- Parameters
-
- namestr
-
Name of the Tool.
- Returns
-
- list of str
-
List of keys associated with the tool.
- message_event(message, sender=None)[source]
-
Emit a
ToolManagerMessageEvent
.
- remove_tool(name)[source]
-
Remove tool named name.
- Parameters
-
- namestr
-
Name of the tool.
- set_figure(figure, update_tools=True)[source]
-
Bind the given figure to the tools.
- Parameters
-
- figure
Figure
- update_toolsbool, default: True
-
Force tools to update figure.
- figure
- toolmanager_connect(s, func)[source]
-
Connect event with string s to func.
- Parameters
-
- sstr
-
The 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.
- funccallable
-
Callback function for the toolmanager event with signature:
def func(event: ToolEvent) -> Any
- Returns
-
- cid
-
The callback id for the connection. This can be used in
toolmanager_disconnect
.
- toolmanager_disconnect(cid)[source]
-
Disconnect callback id cid.
Example usage:
cid = toolmanager.toolmanager_connect('tool_trigger_zoom', onpress) #...later toolmanager.toolmanager_disconnect(cid)
- propertytools
-
A dict mapping tool name -> controlled tool.
- trigger_tool(name, sender=None, canvasevent=None, data=None)[source]
-
Trigger a tool and emit the
tool_trigger_{name}
event.- Parameters
-
- namestr
-
Name of the tool.
- senderobject
-
Object that wishes to trigger the tool.
- canvaseventEvent
-
Original Canvas event or None.
- dataobject
-
Extra data to pass to the tool when triggering.
- update_keymap(name, key)[source]
-
Set the keymap to associate with the specified tool.
- Parameters
-
- namestr
-
Name of the Tool.
- keystr or list of str
-
Keys to associate with the tool.
- classmatplotlib.backend_managers.ToolManagerMessageEvent(name, sender, message)[source]
-
Bases:
object
Event carrying messages from toolmanager.
Messages usually get displayed to the user by the toolbar.
- classmatplotlib.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.
© 2012–2021 Matplotlib Development Team. All rights reserved.
Licensed under the Matplotlib License Agreement.
https://matplotlib.org/3.5.1/api/backend_managers_api.html