widgets¶

`matplotlib.widgets`¶

GUI neutral widgets¶

Widgets that are designed to work for any of the GUI backends. All of these widgets require you to predefine a matplotlib.axes.Axes instance and pass that as the first arg. matplotlib doesn’t try to be too smart with respect to layout – you will have to figure out how wide and tall you want your Axes to be to accommodate your widget.

class matplotlib.widgets.AxesWidget(ax)¶

Bases: matplotlib.widgets.Widget

Widget that is connected to a single Axes.

To guarantee that the widget remains responsive and not garbage-collected, a reference to the object should be maintained by the user.

This is necessary because the callback registry maintains only weak-refs to the functions, which are member functions of the widget. If there are no references to the widget object it may be garbage collected which will disconnect the callbacks.

Attributes:

ax: The parent axes for the widget
canvas: The parent figure canvas for the widget.
active: If False, the widget does not respond to events.

connect_event(event, callback)¶

Connect callback with an event.

This should be used in lieu of figure.canvas.mpl_connect since this function stores callback ids for later clean up.

disconnect_events()¶: Disconnect all events created by this widget.

class matplotlib.widgets.Button(ax, label, image=None, color='0.85', hovercolor='0.95')¶

Bases: matplotlib.widgets.AxesWidget

A GUI neutral button.

For the button to remain responsive you must keep a reference to it.

The following attributes are accessible

ax

The matplotlib.axes.Axes the button renders into.

label

A matplotlib.text.Text instance.

color

The color of the button when not hovering.

hovercolor

The color of the button when hovering.

Call on_clicked() to connect to the button

Parameters:

ax : matplotlib.axes.Axes

The matplotlib.axes.Axes instance the button will be placed into.

label : str

The button text. Accepts string.

image : array, mpl image, Pillow Image

The image to place in the button, if not None. Can be any legal arg to imshow (numpy array, matplotlib Image instance, or Pillow Image).

color : color

The color of the button when not activated

hovercolor : color

The color of the button when the mouse is over it

disconnect(cid)¶: remove the observer with connection id cid

on_clicked(func)¶

When the button is clicked, call this func with event.

A connection id is returned. It can be used to disconnect the button from its callback.

class matplotlib.widgets.CheckButtons(ax, labels, actives)¶

Bases: matplotlib.widgets.AxesWidget

A GUI neutral radio button.

For the check buttons to remain responsive you must keep a reference to this object.

The following attributes are exposed

ax

The matplotlib.axes.Axes instance the buttons are located in

labels

List of matplotlib.text.Text instances

lines

List of (line1, line2) tuples for the x’s in the check boxes. These lines exist for each box, but have set_visible(False) when its box is not checked.

rectangles

List of matplotlib.patches.Rectangle instances

Connect to the CheckButtons with the on_clicked() method

Add check buttons to matplotlib.axes.Axes instance ax

labels

A len(buttons) list of labels as strings

actives

A len(buttons) list of booleans indicating whether: the button is active

disconnect(cid)¶: remove the observer with connection id cid

on_clicked(func)¶

When the button is clicked, call func with button label

A connection id is returned which can be used to disconnect

set_active(index)¶

Directly (de)activate a check button by index.

index is an index into the original label list: that this object was constructed with. Raises ValueError if index is invalid.

Callbacks will be triggered if eventson is True.

class matplotlib.widgets.Cursor(ax, horizOn=True, vertOn=True, useblit=False, **lineprops)¶

Bases: matplotlib.widgets.AxesWidget

A horizontal and vertical line that spans the axes and moves with the pointer. You can turn off the hline or vline respectively with the following attributes:

horizOn

Controls the visibility of the horizontal line

vertOn

Controls the visibility of the horizontal line

and the visibility of the cursor itself with the visible attribute.

For the cursor to remain responsive you must keep a reference to it.

Add a cursor to ax. If useblit=True, use the backend- dependent blitting features for faster updates (GTKAgg only for now). lineprops is a dictionary of line properties.

(Source code, png, pdf)

clear(event)¶: clear the cursor

onmove(event)¶: on mouse motion draw the cursor if visible

class matplotlib.widgets.EllipseSelector(ax, onselect, drawtype='box', minspanx=None, minspany=None, useblit=False, lineprops=None, rectprops=None, spancoords='data', button=None, maxdist=10, marker_props=None, interactive=False, state_modifier_keys=None)¶

Bases: matplotlib.widgets.RectangleSelector

Select an elliptical region of an axes.

For the cursor to remain responsive you must keep a reference to it.

Example usage:

from matplotlib.widgets import  EllipseSelector
from pylab import *

def onselect(eclick, erelease):
  'eclick and erelease are matplotlib events at press and release'
  print(' startposition : (%f, %f)' % (eclick.xdata, eclick.ydata))
  print(' endposition   : (%f, %f)' % (erelease.xdata, erelease.ydata))
  print(' used button   : ', eclick.button)

def toggle_selector(event):
    print(' Key pressed.')
    if event.key in ['Q', 'q'] and toggle_selector.ES.active:
        print(' EllipseSelector deactivated.')
        toggle_selector.RS.set_active(False)
    if event.key in ['A', 'a'] and not toggle_selector.ES.active:
        print(' EllipseSelector activated.')
        toggle_selector.ES.set_active(True)

x = arange(100)/(99.0)
y = sin(x)
fig = figure
ax = subplot(111)
ax.plot(x,y)

toggle_selector.ES = EllipseSelector(ax, onselect, drawtype='line')
connect('key_press_event', toggle_selector)
show()

Create a selector in ax. When a selection is made, clear the span and call onselect with:

onselect(pos_1, pos_2)

and clear the drawn box/line. The pos_1 and pos_2 are arrays of length 2 containing the x- and y-coordinate.

If minspanx is not None then events smaller than minspanx in x direction are ignored (it’s the same for y).

The rectangle is drawn with rectprops; default:

rectprops = dict(facecolor='red', edgecolor = 'black',
                 alpha=0.2, fill=True)

The line is drawn with lineprops; default:

lineprops = dict(color='black', linestyle='-',
                 linewidth = 2, alpha=0.5)

Use drawtype if you want the mouse to draw a line, a box or nothing between click and actual position by setting

drawtype = 'line', drawtype='box' or drawtype = 'none'.

spancoords is one of ‘data’ or ‘pixels’. If ‘data’, minspanx and minspanx will be interpreted in the same coordinates as the x and y axis. If ‘pixels’, they are in pixels.

button is a list of integers indicating which mouse buttons should be used for rectangle selection. You can also specify a single integer if only a single button is desired. Default is None, which does not limit which button can be used.

Note, typically:: 1 = left mouse button 2 = center mouse button (scroll wheel) 3 = right mouse button

interactive will draw a set of handles and allow you interact with the widget after it is drawn.

state_modifier_keys are keyboard modifiers that affect the behavior of the widget.

The defaults are: dict(move=’ ‘, clear=’escape’, square=’shift’, center=’ctrl’)

Keyboard modifiers, which: ‘move’: Move the existing shape. ‘clear’: Clear the current shape. ‘square’: Makes the shape square. ‘center’: Make the initial point the center of the shape. ‘square’ and ‘center’ can be combined.

draw_shape(extents)¶

class matplotlib.widgets.Lasso(ax, xy, callback=None, useblit=True)¶

Bases: matplotlib.widgets.AxesWidget

Selection curve of an arbitrary shape.

The selected path can be used in conjunction with contains_point() to select data points from an image.

Unlike LassoSelector, this must be initialized with a starting point xy, and the Lasso events are destroyed upon release.

Parameters:

ax: The parent axes for the widget.
xy: Coordinates of the start of the lasso.
callback: Whenever the lasso is released, the callback function is called and passed the vertices of the selected path.

onmove(event)¶

onrelease(event)¶

class matplotlib.widgets.LassoSelector(ax, onselect=None, useblit=True, lineprops=None, button=None)¶

Bases: matplotlib.widgets._SelectorWidget

Selection curve of an arbitrary shape.

For the selector to remain responsive you must keep a reference to it.

The selected path can be used in conjunction with contains_point() to select data points from an image.

In contrast to Lasso, LassoSelector is written with an interface similar to RectangleSelector and SpanSelector and will continue to interact with the axes until disconnected.

Parameters:

ax: The parent axes for the widget.
onselect: Whenever the lasso is released, the onselect function is called and passed the vertices of the selected path.

Example usage:

   ax = subplot(111)
   ax.plot(x,y)

   def onselect(verts):
       print(verts)
   lasso = LassoSelector(ax, onselect)

*button* is a list of integers indicating which mouse buttons should
   be used for rectangle selection.  You can also specify a single
   integer if only a single button is desired.  Default is *None*,
   which does not limit which button can be used.

   Note, typically:
    1 = left mouse button
    2 = center mouse button (scroll wheel)
    3 = right mouse button

onpress(event)¶

onrelease(event)¶

class matplotlib.widgets.LockDraw¶

Bases: object

Some widgets, like the cursor, draw onto the canvas, and this is not desirable under all circumstances, like when the toolbar is in zoom-to-rect mode and drawing a rectangle. The module level “lock” allows someone to grab the lock and prevent other widgets from drawing. Use matplotlib.widgets.lock(someobj) to prevent other widgets from drawing while you’re interacting with the canvas.

available(o)¶: drawing is available to o

isowner(o)¶: Return True if o owns this lock

locked()¶: Return True if the lock is currently held by an owner

release(o)¶: release the lock

class matplotlib.widgets.MultiCursor(canvas, axes, useblit=True, horizOn=False, vertOn=True, **lineprops)¶

Bases: matplotlib.widgets.Widget

Provide a vertical (default) and/or horizontal line cursor shared between multiple axes.

For the cursor to remain responsive you must keep a reference to it.

Example usage:

from matplotlib.widgets import MultiCursor
from pylab import figure, show, np

t = np.arange(0.0, 2.0, 0.01)
s1 = np.sin(2*np.pi*t)
s2 = np.sin(4*np.pi*t)
fig = figure()
ax1 = fig.add_subplot(211)
ax1.plot(t, s1)

ax2 = fig.add_subplot(212, sharex=ax1)
ax2.plot(t, s2)

multi = MultiCursor(fig.canvas, (ax1, ax2), color='r', lw=1,
                    horizOn=False, vertOn=True)
show()

clear(event)¶: clear the cursor

connect()¶: connect events

disconnect()¶: disconnect events

onmove(event)¶

class matplotlib.widgets.RadioButtons(ax, labels, active=0, activecolor='blue')¶

Bases: matplotlib.widgets.AxesWidget

A GUI neutral radio button.

For the buttons to remain responsive you must keep a reference to this object.

The following attributes are exposed:

ax

The matplotlib.axes.Axes instance the buttons are in

activecolor

The color of the button when clicked

labels

A list of matplotlib.text.Text instances

circles

A list of matplotlib.patches.Circle instances

value_selected

A string listing the current value selected

Connect to the RadioButtons with the on_clicked() method

Add radio buttons to matplotlib.axes.Axes instance ax

labels: A len(buttons) list of labels as strings
active: The index into labels for the button that is active
activecolor: The color of the button when clicked

disconnect(cid)¶: remove the observer with connection id cid

on_clicked(func)¶

When the button is clicked, call func with button label

A connection id is returned which can be used to disconnect

set_active(index)¶

Trigger which radio button to make active.

index is an index into the original label list: that this object was constructed with. Raise ValueError if the index is invalid.

Callbacks will be triggered if eventson is True.

class matplotlib.widgets.RectangleSelector(ax, onselect, drawtype='box', minspanx=None, minspany=None, useblit=False, lineprops=None, rectprops=None, spancoords='data', button=None, maxdist=10, marker_props=None, interactive=False, state_modifier_keys=None)¶

Bases: matplotlib.widgets._SelectorWidget

Select a rectangular region of an axes.

For the cursor to remain responsive you must keep a reference to it.

Example usage:

from matplotlib.widgets import  RectangleSelector
from pylab import *

def onselect(eclick, erelease):
  'eclick and erelease are matplotlib events at press and release'
  print(' startposition : (%f, %f)' % (eclick.xdata, eclick.ydata))
  print(' endposition   : (%f, %f)' % (erelease.xdata, erelease.ydata))
  print(' used button   : ', eclick.button)

def toggle_selector(event):
    print(' Key pressed.')
    if event.key in ['Q', 'q'] and toggle_selector.RS.active:
        print(' RectangleSelector deactivated.')
        toggle_selector.RS.set_active(False)
    if event.key in ['A', 'a'] and not toggle_selector.RS.active:
        print(' RectangleSelector activated.')
        toggle_selector.RS.set_active(True)

x = arange(100)/(99.0)
y = sin(x)
fig = figure
ax = subplot(111)
ax.plot(x,y)

toggle_selector.RS = RectangleSelector(ax, onselect, drawtype='line')
connect('key_press_event', toggle_selector)
show()

Create a selector in ax. When a selection is made, clear the span and call onselect with:

onselect(pos_1, pos_2)

and clear the drawn box/line. The pos_1 and pos_2 are arrays of length 2 containing the x- and y-coordinate.

If minspanx is not None then events smaller than minspanx in x direction are ignored (it’s the same for y).

The rectangle is drawn with rectprops; default:

rectprops = dict(facecolor='red', edgecolor = 'black',
                 alpha=0.2, fill=True)

The line is drawn with lineprops; default:

lineprops = dict(color='black', linestyle='-',
                 linewidth = 2, alpha=0.5)

Use drawtype if you want the mouse to draw a line, a box or nothing between click and actual position by setting

drawtype = 'line', drawtype='box' or drawtype = 'none'.

spancoords is one of ‘data’ or ‘pixels’. If ‘data’, minspanx and minspanx will be interpreted in the same coordinates as the x and y axis. If ‘pixels’, they are in pixels.

button is a list of integers indicating which mouse buttons should be used for rectangle selection. You can also specify a single integer if only a single button is desired. Default is None, which does not limit which button can be used.

Note, typically:: 1 = left mouse button 2 = center mouse button (scroll wheel) 3 = right mouse button

interactive will draw a set of handles and allow you interact with the widget after it is drawn.

state_modifier_keys are keyboard modifiers that affect the behavior of the widget.

The defaults are: dict(move=’ ‘, clear=’escape’, square=’shift’, center=’ctrl’)

Keyboard modifiers, which: ‘move’: Move the existing shape. ‘clear’: Clear the current shape. ‘square’: Makes the shape square. ‘center’: Make the initial point the center of the shape. ‘square’ and ‘center’ can be combined.

center¶: Center of rectangle

corners¶: Corners of rectangle from lower left, moving clockwise.

draw_shape(extents)¶

edge_centers¶: Midpoint of rectangle edges from left, moving clockwise.

extents¶: Return (xmin, xmax, ymin, ymax).

geometry¶

class matplotlib.widgets.Slider(ax, label, valmin, valmax, valinit=0.5, valfmt='%1.2f', closedmin=True, closedmax=True, slidermin=None, slidermax=None, dragging=True, **kwargs)¶

Bases: matplotlib.widgets.AxesWidget

A slider representing a floating point range.

For the slider to remain responsive you must maintain a reference to it.

The following attributes are defined

ax : the slider matplotlib.axes.Axes instance

val : the current slider value

vline: representing the initial value of the slider
poly: which is the slider knob

valfmt : the format string for formatting the slider text

label: for the slider label

closedmin : whether the slider is closed on the minimum

closedmax : whether the slider is closed on the maximum

slidermin: greater than slidermin
slidermax: less than slidermax

dragging : allow for mouse dragging on slider

Call on_changed() to connect to the slider event

Create a slider from valmin to valmax in axes ax.

Additional kwargs are passed on to self.poly which is the matplotlib.patches.Rectangle that draws the slider knob. See the matplotlib.patches.Rectangle documentation for valid property names (e.g., facecolor, edgecolor, alpha, ...).

Parameters:

ax : Axes

The Axes to put the slider in

label : str

Slider label

valmin : float

The minimum value of the slider

valmax : float

The maximum value of the slider

valinit : float

The slider initial position

label : str

The slider label

valfmt : str

Used to format the slider value, fprint format string

closedmin : bool

Indicate whether the slider interval is closed on the bottom

closedmax : bool

Indicate whether the slider interval is closed on the top

slidermin : Slider or None

Do not allow the current slider to have a value less than slidermin

slidermax : Slider or None

Do not allow the current slider to have a value greater than slidermax

dragging : bool

if the slider can be dragged by the mouse

disconnect(cid)¶: remove the observer with connection id cid

on_changed(func)¶

When the slider value is changed, call func with the new slider position

A connection id is returned which can be used to disconnect

reset()¶: reset the slider to the initial value if needed

set_val(val)¶

class matplotlib.widgets.SpanSelector(ax, onselect, direction, minspan=None, useblit=False, rectprops=None, onmove_callback=None, span_stays=False, button=None)¶

Bases: matplotlib.widgets._SelectorWidget

Visually select a min/max range on a single axis and call a function with those values.

To guarantee that the selector remains responsive, keep a reference to it.

In order to turn off the SpanSelector, set span_selector.active=False. To turn it back on, set span_selector.active=True.

Parameters:

ax : matplotlib.axes.Axes object

onselect : func(min, max), min/max are floats

direction : “horizontal” or “vertical”

The axis along which to draw the span selector

minspan : float, default is None

If selection is less than minspan, do not call onselect

useblit : bool, default is False

If True, use the backend-dependent blitting features for faster canvas updates. Only available for GTKAgg right now.

rectprops : dict, default is None

Dictionary of matplotlib.patches.Patch properties

onmove_callback : func(min, max), min/max are floats, default is None

Called on mouse move while the span is being selected

span_stays : bool, default is False

If True, the span stays visible after the mouse is released

button : int or list of ints

Determines which mouse buttons activate the span selector

1 = left mouse button

2 = center mouse button (scroll wheel)

3 = right mouse button

Examples

>>> import matplotlib.pyplot as plt
>>> import matplotlib.widgets as mwidgets
>>> fig, ax = plt.subplots()
>>> ax.plot([1, 2, 3], [10, 50, 100])
>>> def onselect(vmin, vmax):
        print(vmin, vmax)
>>> rectprops = dict(facecolor='blue', alpha=0.5)
>>> span = mwidgets.SpanSelector(ax, onselect, 'horizontal',
                                 rectprops=rectprops)
>>> fig.show()

ignore(event)¶: return True if event should be ignored

new_axes(ax)¶: Set SpanSelector to operate on a new Axes

class matplotlib.widgets.SubplotTool(targetfig, toolfig)¶

Bases: matplotlib.widgets.Widget

A tool to adjust the subplot params of a matplotlib.figure.Figure.

targetfig: The figure instance to adjust.
toolfig: The figure instance to embed the subplot tool into. If None, a default figure will be created. If you are using this from the GUI

funcbottom(val)¶

funchspace(val)¶

funcleft(val)¶

funcright(val)¶

functop(val)¶

funcwspace(val)¶

class matplotlib.widgets.ToolHandles(ax, x, y, marker='o', marker_props=None, useblit=True)¶

Bases: object

Control handles for canvas tools.

Parameters:

ax : matplotlib.axes.Axes

Matplotlib axes where tool handles are displayed.

x, y : 1D arrays

Coordinates of control handles.

marker : str

Shape of marker used to display handle. See matplotlib.pyplot.plot.

marker_props : dict

Additional marker properties. See matplotlib.lines.Line2D.

closest(x, y)¶: Return index and pixel distance to closest index.

set_animated(val)¶

set_data(pts, y=None)¶: Set x and y positions of handles

set_visible(val)¶

x¶

y¶

class matplotlib.widgets.Widget¶

Bases: object

Abstract base class for GUI neutral widgets

active¶: Is the widget active?

drawon = True¶

eventson = True¶

get_active()¶: Get whether the widget is active.

ignore(event)¶

Return True if event should be ignored.

This method (or a version of it) should be called at the beginning of any event callback.

set_active(active)¶: Set whether the widget is active.

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