matplotlib.backend_tools#
Abstract base classes define the primitives for Tools.
These tools are used by matplotlib.backend_managers.ToolManager
- ToolBase
- Simple stateless tool 
- ToolToggleBase
- Tool that has two states, only one Toggle tool can be active at any given time for the same - matplotlib.backend_managers.ToolManager
- class matplotlib.backend_tools.AxisScaleBase(*args, **kwargs)[source]#
- Bases: - ToolToggleBase- Base Tool to toggle between linear and logarithmic. - disable(event=None)[source]#
- Disable the toggle tool. - triggercall this method when- toggledis True.- This can happen in different circumstances. - Click on the toolbar tool button. 
- Call to - matplotlib.backend_managers.ToolManager.trigger_tool.
- Another - ToolToggleBasederived tool is triggered (from the same- ToolManager).
 
 
- class matplotlib.backend_tools.ConfigureSubplotsBase(toolmanager, name)[source]#
- Bases: - ToolBase- Base tool for the configuration of subplots. 
- class matplotlib.backend_tools.Cursors(value)[source]#
- Bases: - IntEnum- Backend-independent cursor types. 
- class matplotlib.backend_tools.RubberbandBase(toolmanager, name)[source]#
- Bases: - ToolBase- Draw and remove a rubberband. - trigger(sender, event, data=None)[source]#
- Call - draw_rubberbandor- remove_rubberbandbased on data.
 
- class matplotlib.backend_tools.SaveFigureBase(toolmanager, name)[source]#
- Bases: - ToolBase- Base tool for figure saving. - property default_keymap#
 
- class matplotlib.backend_tools.SetCursorBase(*args, **kwargs)[source]#
- Bases: - ToolBase- Change to the current cursor while inaxes. - This tool, keeps track of all - ToolToggleBasederived tools, and calls- set_cursorwhen a tool gets triggered.- set_cursor(cursor)[source]#
- [Deprecated] Set the cursor. - Notes - Deprecated since version 3.5: Use - FigureCanvasBase.set_cursorinstead.
 
- class matplotlib.backend_tools.ToolBack(toolmanager, name)[source]#
- Bases: - ViewsPositionsBase- Move back up the view limits stack. - property default_keymap#
 
- class matplotlib.backend_tools.ToolBase(toolmanager, name)[source]#
- Bases: - object- Base tool class. - A base tool, only implements - triggermethod or no method at all. The tool is instantiated by- matplotlib.backend_managers.ToolManager.- property canvas#
- The canvas of the figure affected by this tool, or None. 
 - default_keymap = None#
- Keymap to associate with this tool. - list[str]: List of keys that will trigger this tool when a keypress event is emitted on- self.figure.canvas. Note that this attribute is looked up on the instance, and can therefore be a property (this is used e.g. by the built-in tools to load the rcParams at instantiation time).
 - description = None#
- Description of the Tool. - str: Tooltip used if the Tool is included in a Toolbar.
 - destroy()[source]#
- [Deprecated] Destroy the tool. - This method is called by - ToolManager.remove_tool.- Notes - Deprecated since version 3.6: Use tool_removed_event instead. 
 - property figure#
- The Figure affected by this tool, or None. 
 - image = None#
- Filename of the image. - str: Filename of the image to use in a Toolbar. If None, the name is used as a label in the toolbar button.
 - property name#
- The tool id (str, must be unique among tools of a tool manager). 
 - property toolmanager#
- The - ToolManagerthat controls this tool.
 - trigger(sender, event, data=None)[source]#
- Called when this tool gets used. - This method is called by - ToolManager.trigger_tool.- Parameters:
- eventEvent
- The canvas event that caused this tool to be called. 
- senderobject
- Object that requested the tool to be triggered. 
- dataobject
- Extra data. 
 
- event
 
 
- class matplotlib.backend_tools.ToolCopyToClipboardBase(toolmanager, name)[source]#
- Bases: - ToolBase- Tool to copy the figure to the clipboard. - property default_keymap#
 - description = 'Copy the canvas figure to clipboard'#
- Description of the Tool. - str: Tooltip used if the Tool is included in a Toolbar.
 - trigger(*args, **kwargs)[source]#
- Called when this tool gets used. - This method is called by - ToolManager.trigger_tool.- Parameters:
- eventEvent
- The canvas event that caused this tool to be called. 
- senderobject
- Object that requested the tool to be triggered. 
- dataobject
- Extra data. 
 
- event
 
 
- class matplotlib.backend_tools.ToolCursorPosition(*args, **kwargs)[source]#
- Bases: - ToolBase- Send message with the current pointer position. - This tool runs in the background reporting the position of the cursor. 
- class matplotlib.backend_tools.ToolForward(toolmanager, name)[source]#
- Bases: - ViewsPositionsBase- Move forward in the view lim stack. - property default_keymap#
 
- class matplotlib.backend_tools.ToolFullScreen(toolmanager, name)[source]#
- Bases: - ToolBase- Tool to toggle full screen. - property default_keymap#
 - description = 'Toggle fullscreen mode'#
- Description of the Tool. - str: Tooltip used if the Tool is included in a Toolbar.
 - trigger(sender, event, data=None)[source]#
- Called when this tool gets used. - This method is called by - ToolManager.trigger_tool.- Parameters:
- eventEvent
- The canvas event that caused this tool to be called. 
- senderobject
- Object that requested the tool to be triggered. 
- dataobject
- Extra data. 
 
- event
 
 
- class matplotlib.backend_tools.ToolGrid(toolmanager, name)[source]#
- Bases: - ToolBase- Tool to toggle the major grids of the figure. - property default_keymap#
 - description = 'Toggle major grids'#
- Description of the Tool. - str: Tooltip used if the Tool is included in a Toolbar.
 - trigger(sender, event, data=None)[source]#
- Called when this tool gets used. - This method is called by - ToolManager.trigger_tool.- Parameters:
- eventEvent
- The canvas event that caused this tool to be called. 
- senderobject
- Object that requested the tool to be triggered. 
- dataobject
- Extra data. 
 
- event
 
 
- class matplotlib.backend_tools.ToolHelpBase(toolmanager, name)[source]#
- Bases: - ToolBase- property default_keymap#
 - description = 'Print tool list, shortcuts and description'#
- Description of the Tool. - str: Tooltip used if the Tool is included in a Toolbar.
 
- class matplotlib.backend_tools.ToolHome(toolmanager, name)[source]#
- Bases: - ViewsPositionsBase- Restore the original view limits. - property default_keymap#
 
- class matplotlib.backend_tools.ToolMinorGrid(toolmanager, name)[source]#
- Bases: - ToolBase- Tool to toggle the major and minor grids of the figure. - property default_keymap#
 - description = 'Toggle major and minor grids'#
- Description of the Tool. - str: Tooltip used if the Tool is included in a Toolbar.
 - trigger(sender, event, data=None)[source]#
- Called when this tool gets used. - This method is called by - ToolManager.trigger_tool.- Parameters:
- eventEvent
- The canvas event that caused this tool to be called. 
- senderobject
- Object that requested the tool to be triggered. 
- dataobject
- Extra data. 
 
- event
 
 
- class matplotlib.backend_tools.ToolPan(*args)[source]#
- Bases: - ZoomPanBase- Pan axes with left mouse, zoom with right. - property default_keymap#
 - description = 'Pan axes with left mouse, zoom with right'#
- Description of the Tool. - str: Tooltip used if the Tool is included in a Toolbar.
 
- class matplotlib.backend_tools.ToolQuit(toolmanager, name)[source]#
- Bases: - ToolBase- Tool to call the figure manager destroy method. - property default_keymap#
 - description = 'Quit the figure'#
- Description of the Tool. - str: Tooltip used if the Tool is included in a Toolbar.
 - trigger(sender, event, data=None)[source]#
- Called when this tool gets used. - This method is called by - ToolManager.trigger_tool.- Parameters:
- eventEvent
- The canvas event that caused this tool to be called. 
- senderobject
- Object that requested the tool to be triggered. 
- dataobject
- Extra data. 
 
- event
 
 
- class matplotlib.backend_tools.ToolQuitAll(toolmanager, name)[source]#
- Bases: - ToolBase- Tool to call the figure manager destroy method. - property default_keymap#
 - description = 'Quit all figures'#
- Description of the Tool. - str: Tooltip used if the Tool is included in a Toolbar.
 - trigger(sender, event, data=None)[source]#
- Called when this tool gets used. - This method is called by - ToolManager.trigger_tool.- Parameters:
- eventEvent
- The canvas event that caused this tool to be called. 
- senderobject
- Object that requested the tool to be triggered. 
- dataobject
- Extra data. 
 
- event
 
 
- matplotlib.backend_tools.ToolSetCursor[source]#
- alias of - SetCursorBase
- class matplotlib.backend_tools.ToolToggleBase(*args, **kwargs)[source]#
- Bases: - ToolBase- Toggleable tool. - Every time it is triggered, it switches between enable and disable. - Parameters:
- ``*args``
- Variable length argument to be used by the Tool. 
- ``**kwargs``
- toggledif present and True, sets the initial state of the Tool Arbitrary keyword arguments to be consumed by the Tool
 
 - cursor = None#
- Cursor to use when the tool is active. 
 - default_toggled = False#
- Default of toggled state. 
 - disable(event=None)[source]#
- Disable the toggle tool. - triggercall this method when- toggledis True.- This can happen in different circumstances. - Click on the toolbar tool button. 
- Call to - matplotlib.backend_managers.ToolManager.trigger_tool.
- Another - ToolToggleBasederived tool is triggered (from the same- ToolManager).
 
 - radio_group = None#
- Attribute to group 'radio' like tools (mutually exclusive). - strthat identifies the group or None if not belonging to a group.
 - property toggled#
- State of the toggled tool. 
 
- class matplotlib.backend_tools.ToolViewsPositions(*args, **kwargs)[source]#
- Bases: - ToolBase- Auxiliary Tool to handle changes in views and positions. - Runs in the background and should get used by all the tools that need to access the figure's history of views and positions, e.g. - push_current(figure=None)[source]#
- Push the current view limits and position onto their respective stacks. 
 
- class matplotlib.backend_tools.ToolXScale(*args, **kwargs)[source]#
- Bases: - AxisScaleBase- Tool to toggle between linear and logarithmic scales on the X axis. - property default_keymap#
 
- class matplotlib.backend_tools.ToolYScale(*args, **kwargs)[source]#
- Bases: - AxisScaleBase- Tool to toggle between linear and logarithmic scales on the Y axis. - property default_keymap#
 
- class matplotlib.backend_tools.ToolZoom(*args)[source]#
- Bases: - ZoomPanBase- A Tool for zooming using a rectangle selector. - property default_keymap#
 - description = 'Zoom to rectangle'#
- Description of the Tool. - str: Tooltip used if the Tool is included in a Toolbar.
 
- class matplotlib.backend_tools.ViewsPositionsBase(toolmanager, name)[source]#
- Bases: - ToolBase- Base class for - ToolHome,- ToolBackand- ToolForward.- trigger(sender, event, data=None)[source]#
- Called when this tool gets used. - This method is called by - ToolManager.trigger_tool.- Parameters:
- eventEvent
- The canvas event that caused this tool to be called. 
- senderobject
- Object that requested the tool to be triggered. 
- dataobject
- Extra data. 
 
- event
 
 
- class matplotlib.backend_tools.ZoomPanBase(*args)[source]#
- Bases: - ToolToggleBase
- matplotlib.backend_tools.add_tools_to_container(container, tools=[['navigation', ['home', 'back', 'forward']], ['zoompan', ['pan', 'zoom', 'subplots']], ['io', ['save', 'help']]])[source]#
- Add multiple tools to the container. - Parameters:
- containerContainer
- backend_bases.ToolContainerBaseobject that will get the tools added.
- toolslist, optional
- List in the form - [[group1, [tool1, tool2 ...]], [group2, [...]]]where the tools- [tool1, tool2, ...]will display in group1. See- backend_bases.ToolContainerBase.add_toolfor details.
 
 
- matplotlib.backend_tools.add_tools_to_manager(toolmanager, tools={'back': <class 'matplotlib.backend_tools.ToolBack'>, 'copy': <class 'matplotlib.backend_tools.ToolCopyToClipboardBase'>, 'cursor': <class 'matplotlib.backend_tools.SetCursorBase'>, 'forward': <class 'matplotlib.backend_tools.ToolForward'>, 'fullscreen': <class 'matplotlib.backend_tools.ToolFullScreen'>, 'grid': <class 'matplotlib.backend_tools.ToolGrid'>, 'grid_minor': <class 'matplotlib.backend_tools.ToolMinorGrid'>, 'help': <class 'matplotlib.backend_tools.ToolHelpBase'>, 'home': <class 'matplotlib.backend_tools.ToolHome'>, 'pan': <class 'matplotlib.backend_tools.ToolPan'>, 'position': <class 'matplotlib.backend_tools.ToolCursorPosition'>, 'quit': <class 'matplotlib.backend_tools.ToolQuit'>, 'quit_all': <class 'matplotlib.backend_tools.ToolQuitAll'>, 'rubberband': <class 'matplotlib.backend_tools.RubberbandBase'>, 'save': <class 'matplotlib.backend_tools.SaveFigureBase'>, 'subplots': <class 'matplotlib.backend_tools.ConfigureSubplotsBase'>, 'viewpos': <class 'matplotlib.backend_tools.ToolViewsPositions'>, 'xscale': <class 'matplotlib.backend_tools.ToolXScale'>, 'yscale': <class 'matplotlib.backend_tools.ToolYScale'>, 'zoom': <class 'matplotlib.backend_tools.ToolZoom'>})[source]#
- Add multiple tools to a - ToolManager.- Parameters:
- toolmanagerbackend_managers.ToolManager
- Manager to which the tools are added. 
- tools{str: class_like}, optional
- The tools to add in a {name: tool} dict, see - backend_managers.ToolManager.add_toolfor more info.
 
- toolmanager