matplotlib.backend_tools
Abstract base classes define the primitives for Tools. These tools are used by matplotlib.backend_managers.ToolManager
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ToolBase - Simple stateless tool
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ToolToggleBase - Tool that has two states, only one Toggle tool can be active at any given time for the same
matplotlib.backend_managers.ToolManager
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class matplotlib.backend_tools.AxisScaleBase(*args, **kwargs)[source] -
Bases:
matplotlib.backend_tools.ToolToggleBaseBase Tool to toggle between linear and logarithmic.
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disable(self, event)[source] -
Disable the toggle tool.
triggercall this method whentoggledis 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 sameToolManager).
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class matplotlib.backend_tools.ConfigureSubplotsBase(toolmanager, name)[source] -
Bases:
matplotlib.backend_tools.ToolBaseBase tool for the configuration of subplots.
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description = 'Configure subplots'
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image = 'subplots'
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class matplotlib.backend_tools.Cursors(value)[source] -
Bases:
enum.IntEnumBackend-independent cursor types.
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HAND = 0
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MOVE = 3
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POINTER = 1
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SELECT_REGION = 2
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WAIT = 4
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class matplotlib.backend_tools.RubberbandBase(toolmanager, name)[source] -
Bases:
matplotlib.backend_tools.ToolBaseDraw and remove a rubberband.
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draw_rubberband(self, *data)[source] -
Draw rubberband.
This method must get implemented per backend.
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remove_rubberband(self)[source] -
Remove rubberband.
This method should get implemented per backend.
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trigger(self, sender, event, data)[source] -
Call
draw_rubberbandorremove_rubberbandbased on data.
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class matplotlib.backend_tools.SaveFigureBase(toolmanager, name)[source] -
Bases:
matplotlib.backend_tools.ToolBaseBase tool for figure saving.
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default_keymap = ['s', 'ctrl+s']
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description = 'Save the figure'
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image = 'filesave'
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class matplotlib.backend_tools.SetCursorBase(*args, **kwargs)[source] -
Bases:
matplotlib.backend_tools.ToolBaseChange to the current cursor while inaxes.
This tool, keeps track of all
ToolToggleBasederived tools, and callsset_cursorwhen a tool gets triggered.-
set_cursor(self, cursor)[source] -
Set the cursor.
This method has to be implemented per backend.
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set_figure(self, figure)[source] -
Assign a figure to the tool.
Parameters: -
figureFigure
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class matplotlib.backend_tools.ToolBack(toolmanager, name)[source] -
Bases:
matplotlib.backend_tools.ViewsPositionsBaseMove back up the view limits stack.
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default_keymap = ['left', 'c', 'backspace', 'MouseButton.BACK']
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description = 'Back to previous view'
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image = 'back'
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class matplotlib.backend_tools.ToolBase(toolmanager, name)[source] -
Bases:
objectBase tool class.
A base tool, only implements
triggermethod or not method at all. The tool is instantiated bymatplotlib.backend_managers.ToolManager.Attributes: -
toolmanagermatplotlib.backend_managers.ToolManager -
ToolManager that controls this Tool.
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figureFigureCanvas -
Figure instance that is affected by this Tool.
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namestr -
Tool Id.
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property canvas
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default_keymap = None -
Keymap to associate with this tool.
String: List of comma separated keys that will be used to call this tool when the keypress event of
self.figure.canvasis emitted.
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description = None -
Description of the Tool.
String: If the Tool is included in the Toolbar this text is used as a Tooltip.
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destroy(self)[source] -
Destroy the tool.
This method is called when the tool is removed by
matplotlib.backend_managers.ToolManager.remove_tool.
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property figure
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image = None -
Filename of the image.
String: Filename of the image to use in the toolbar. If None, the name is used as a label in the toolbar button.
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property name -
Tool Id.
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set_figure(self, figure)[source] -
Assign a figure to the tool.
Parameters: -
figureFigure
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property toolmanager
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trigger(self, sender, event, data=None)[source] -
Called when this tool gets used.
This method is called by
matplotlib.backend_managers.ToolManager.trigger_tool.Parameters: -
eventEvent -
The canvas event that caused this tool to be called.
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senderobject -
Object that requested the tool to be triggered.
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dataobject -
Extra data.
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matplotlib.backend_tools.ToolCopyToClipboard
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class matplotlib.backend_tools.ToolCopyToClipboardBase(toolmanager, name)[source] -
Bases:
matplotlib.backend_tools.ToolBaseTool to copy the figure to the clipboard.
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default_keymap = ['ctrl+c', 'cmd+c']
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description = 'Copy the canvas figure to clipboard'
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trigger(self, *args, **kwargs)[source] -
Called when this tool gets used.
This method is called by
matplotlib.backend_managers.ToolManager.trigger_tool.Parameters: -
eventEvent -
The canvas event that caused this tool to be called.
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senderobject -
Object that requested the tool to be triggered.
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dataobject -
Extra data.
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class matplotlib.backend_tools.ToolCursorPosition(*args, **kwargs)[source] -
Bases:
matplotlib.backend_tools.ToolBaseSend message with the current pointer position.
This tool runs in the background reporting the position of the cursor.
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send_message(self, event)[source]
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set_figure(self, figure)[source] -
Assign a figure to the tool.
Parameters: -
figureFigure
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Bases:
matplotlib.backend_tools._ToolEnableAllNavigation[Deprecated]
Notes
Deprecated since version 3.3:
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Bases:
matplotlib.backend_tools._ToolEnableNavigation[Deprecated]
Notes
Deprecated since version 3.3:
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class matplotlib.backend_tools.ToolForward(toolmanager, name)[source] -
Bases:
matplotlib.backend_tools.ViewsPositionsBaseMove forward in the view lim stack.
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default_keymap = ['right', 'v', 'MouseButton.FORWARD']
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description = 'Forward to next view'
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image = 'forward'
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class matplotlib.backend_tools.ToolFullScreen(*args, **kwargs)[source] -
Bases:
matplotlib.backend_tools.ToolToggleBaseTool to toggle full screen.
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default_keymap = ['f', 'ctrl+f']
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description = 'Toggle fullscreen mode'
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disable(self, event)[source] -
Disable the toggle tool.
triggercall this method whentoggledis 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 sameToolManager).
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enable(self, event)[source] -
Enable the toggle tool.
triggercalls this method whentoggledis False.
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class matplotlib.backend_tools.ToolGrid(toolmanager, name)[source] -
Bases:
matplotlib.backend_tools.ToolBaseTool to toggle the major grids of the figure.
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default_keymap = ['g']
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description = 'Toggle major grids'
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trigger(self, sender, event, data=None)[source] -
Called when this tool gets used.
This method is called by
matplotlib.backend_managers.ToolManager.trigger_tool.Parameters: -
eventEvent -
The canvas event that caused this tool to be called.
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senderobject -
Object that requested the tool to be triggered.
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dataobject -
Extra data.
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class matplotlib.backend_tools.ToolHelpBase(toolmanager, name)[source] -
Bases:
matplotlib.backend_tools.ToolBase-
default_keymap = ['f1']
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description = 'Print tool list, shortcuts and description'
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static format_shortcut(key_sequence)[source] -
Converts a shortcut string from the notation used in rc config to the standard notation for displaying shortcuts, e.g. 'ctrl+a' -> 'Ctrl+A'.
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image = 'help'
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class matplotlib.backend_tools.ToolHome(toolmanager, name)[source] -
Bases:
matplotlib.backend_tools.ViewsPositionsBaseRestore the original view limits.
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default_keymap = ['h', 'r', 'home']
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description = 'Reset original view'
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image = 'home'
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class matplotlib.backend_tools.ToolMinorGrid(toolmanager, name)[source] -
Bases:
matplotlib.backend_tools.ToolBaseTool to toggle the major and minor grids of the figure.
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default_keymap = ['G']
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description = 'Toggle major and minor grids'
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trigger(self, sender, event, data=None)[source] -
Called when this tool gets used.
This method is called by
matplotlib.backend_managers.ToolManager.trigger_tool.Parameters: -
eventEvent -
The canvas event that caused this tool to be called.
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senderobject -
Object that requested the tool to be triggered.
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dataobject -
Extra data.
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class matplotlib.backend_tools.ToolPan(*args)[source] -
Bases:
matplotlib.backend_tools.ZoomPanBasePan axes with left mouse, zoom with right.
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cursor = 3
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default_keymap = ['p']
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description = 'Pan axes with left mouse, zoom with right'
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image = 'move'
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radio_group = 'default'
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class matplotlib.backend_tools.ToolQuit(toolmanager, name)[source] -
Bases:
matplotlib.backend_tools.ToolBaseTool to call the figure manager destroy method.
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default_keymap = ['ctrl+w', 'cmd+w', 'q']
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description = 'Quit the figure'
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trigger(self, sender, event, data=None)[source] -
Called when this tool gets used.
This method is called by
matplotlib.backend_managers.ToolManager.trigger_tool.Parameters: -
eventEvent -
The canvas event that caused this tool to be called.
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senderobject -
Object that requested the tool to be triggered.
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dataobject -
Extra data.
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class matplotlib.backend_tools.ToolQuitAll(toolmanager, name)[source] -
Bases:
matplotlib.backend_tools.ToolBaseTool to call the figure manager destroy method.
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default_keymap = []
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description = 'Quit all figures'
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trigger(self, sender, event, data=None)[source] -
Called when this tool gets used.
This method is called by
matplotlib.backend_managers.ToolManager.trigger_tool.Parameters: -
eventEvent -
The canvas event that caused this tool to be called.
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senderobject -
Object that requested the tool to be triggered.
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dataobject -
Extra data.
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class matplotlib.backend_tools.ToolToggleBase(*args, **kwargs)[source] -
Bases:
matplotlib.backend_tools.ToolBaseToggleable tool.
Every time it is triggered, it switches between enable and disable.
Parameters: - ``*args``
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Variable length argument to be used by the Tool.
- ``**kwargs``
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toggledif present and True, sets the initial state of the Tool Arbitrary keyword arguments to be consumed by the Tool
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cursor = None -
Cursor to use when the tool is active.
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default_toggled = False -
Default of toggled state.
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disable(self, event=None)[source] -
Disable the toggle tool.
triggercall this method whentoggledis 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 sameToolManager).
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enable(self, event=None)[source] -
Enable the toggle tool.
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radio_group = None -
Attribute to group 'radio' like tools (mutually exclusive).
String that identifies the group or None if not belonging to a group.
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set_figure(self, figure)[source] -
Assign a figure to the tool.
Parameters: -
figureFigure
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property toggled -
State of the toggled tool.
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class matplotlib.backend_tools.ToolViewsPositions(*args, **kwargs)[source] -
Bases:
matplotlib.backend_tools.ToolBaseAuxiliary 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.
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add_figure(self, figure)[source] -
Add the current figure to the stack of views and positions.
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back(self)[source] -
Back one step in the stack of views and positions.
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clear(self, figure)[source] -
Reset the axes stack.
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forward(self)[source] -
Forward one step in the stack of views and positions.
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home(self)[source] -
Recall the first view and position from the stack.
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push_current(self, figure=None)[source] -
Push the current view limits and position onto their respective stacks.
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refresh_locators(self)[source] -
[Deprecated] Redraw the canvases, update the locators.
Notes
Deprecated since version 3.3.
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update_home_views(self, figure=None)[source] -
Make sure that
self.home_viewshas an entry for all axes present in the figure.
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update_view(self)[source] -
Update the view limits and position for each axes from the current stack position. If any axes are present in the figure that aren't in the current stack position, use the home view limits for those axes and don't update any positions.
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class matplotlib.backend_tools.ToolXScale(*args, **kwargs)[source] -
Bases:
matplotlib.backend_tools.AxisScaleBaseTool to toggle between linear and logarithmic scales on the X axis.
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default_keymap = ['k', 'L']
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description = 'Toggle scale X axis'
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set_scale(self, ax, scale)[source]
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class matplotlib.backend_tools.ToolYScale(*args, **kwargs)[source] -
Bases:
matplotlib.backend_tools.AxisScaleBaseTool to toggle between linear and logarithmic scales on the Y axis.
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default_keymap = ['l']
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description = 'Toggle scale Y axis'
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set_scale(self, ax, scale)[source]
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class matplotlib.backend_tools.ToolZoom(*args)[source] -
Bases:
matplotlib.backend_tools.ZoomPanBaseA Tool for zooming using a rectangle selector.
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cursor = 2
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default_keymap = ['o']
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description = 'Zoom to rectangle'
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image = 'zoom_to_rect'
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radio_group = 'default'
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class matplotlib.backend_tools.ViewsPositionsBase(toolmanager, name)[source] -
Bases:
matplotlib.backend_tools.ToolBaseBase class for
ToolHome,ToolBackandToolForward.-
trigger(self, sender, event, data=None)[source] -
Called when this tool gets used.
This method is called by
matplotlib.backend_managers.ToolManager.trigger_tool.Parameters: -
eventEvent -
The canvas event that caused this tool to be called.
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senderobject -
Object that requested the tool to be triggered.
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dataobject -
Extra data.
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class matplotlib.backend_tools.ZoomPanBase(*args)[source] -
Bases:
matplotlib.backend_tools.ToolToggleBaseBase class for
ToolZoomandToolPan.-
disable(self, event)[source] -
Release the canvas and disconnect press/release events.
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enable(self, event)[source] -
Connect press/release events and lock the canvas.
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scroll_zoom(self, event)[source]
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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. Seeadd_toolfor details.
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matplotlib.backend_tools.add_tools_to_manager(toolmanager, tools={'home': <class 'matplotlib.backend_tools.ToolHome'>, 'back': <class 'matplotlib.backend_tools.ToolBack'>, 'forward': <class 'matplotlib.backend_tools.ToolForward'>, 'zoom': <class 'matplotlib.backend_tools.ToolZoom'>, 'pan': <class 'matplotlib.backend_tools.ToolPan'>, 'subplots': 'ToolConfigureSubplots', 'save': 'ToolSaveFigure', 'grid': <class 'matplotlib.backend_tools.ToolGrid'>, 'grid_minor': <class 'matplotlib.backend_tools.ToolMinorGrid'>, 'fullscreen': <class 'matplotlib.backend_tools.ToolFullScreen'>, 'quit': <class 'matplotlib.backend_tools.ToolQuit'>, 'quit_all': <class 'matplotlib.backend_tools.ToolQuitAll'>, 'allnav': <class 'matplotlib.backend_tools._ToolEnableAllNavigation'>, 'nav': <class 'matplotlib.backend_tools._ToolEnableNavigation'>, 'xscale': <class 'matplotlib.backend_tools.ToolXScale'>, 'yscale': <class 'matplotlib.backend_tools.ToolYScale'>, 'position': <class 'matplotlib.backend_tools.ToolCursorPosition'>, 'viewpos': <class 'matplotlib.backend_tools.ToolViewsPositions'>, 'cursor': 'ToolSetCursor', 'rubberband': 'ToolRubberband', 'help': 'ToolHelp', 'copy': 'ToolCopyToClipboard'})[source] -
Add multiple tools to a
ToolManager.Parameters: -
toolmanagerbackend_managers.ToolManager -
Manager to which the tools are added.
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tools{str: class_like}, optional -
The tools to add in a {name: tool} dict, see
add_toolfor more info.
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matplotlib.backend_tools.cursors -
alias of
matplotlib.backend_tools.Cursors
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matplotlib.backend_tools.default_toolbar_tools = [['navigation', ['home', 'back', 'forward']], ['zoompan', ['pan', 'zoom', 'subplots']], ['io', ['save', 'help']]] -
Default tools in the toolbar
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matplotlib.backend_tools.default_tools = {'allnav': <class 'matplotlib.backend_tools._ToolEnableAllNavigation'>, 'back': <class 'matplotlib.backend_tools.ToolBack'>, 'copy': 'ToolCopyToClipboard', 'cursor': 'ToolSetCursor', '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': 'ToolHelp', 'home': <class 'matplotlib.backend_tools.ToolHome'>, 'nav': <class 'matplotlib.backend_tools._ToolEnableNavigation'>, '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': 'ToolRubberband', 'save': 'ToolSaveFigure', 'subplots': 'ToolConfigureSubplots', 'viewpos': <class 'matplotlib.backend_tools.ToolViewsPositions'>, 'xscale': <class 'matplotlib.backend_tools.ToolXScale'>, 'yscale': <class 'matplotlib.backend_tools.ToolYScale'>, 'zoom': <class 'matplotlib.backend_tools.ToolZoom'>} -
Default tools
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Licensed under the Matplotlib License Agreement.
https://matplotlib.org/3.3.3/api/backend_tools_api.html