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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"

"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">

<head>

<title>widgets — Matplotlib 1.5.1 documentation</title>

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<div id="unreleased-message"> You are reading an old version of the documentation (v1.5.1). For the latest version see <a href="https://matplotlib.org/stable/api/widgets_api.html">https://matplotlib.org/stable/api/widgets_api.html</a></div>

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<h1>widgets<a class="headerlink" href="#widgets" title="Permalink to this headline">¶</a></h1>

<h2><a class="reference internal" href="#module-matplotlib.widgets" title="matplotlib.widgets"><code class="xref py py-mod docutils literal">matplotlib.widgets</code></a><a class="headerlink" href="#module-matplotlib.widgets" title="Permalink to this headline">¶</a></h2>

<h3>GUI neutral widgets<a class="headerlink" href="#gui-neutral-widgets" title="Permalink to this headline">¶</a></h3>

Widgets that are designed to work for any of the GUI backends.

All of these widgets require you to predefine a <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal">matplotlib.axes.Axes</code></a>

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 <code class="descclassname">matplotlib.widgets.</code><code class="descname">AxesWidget</code>(ax)<a class="headerlink" href="#matplotlib.widgets.AxesWidget" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <a class="reference internal" href="#matplotlib.widgets.Widget" title="matplotlib.widgets.Widget"><code class="xref py py-class docutils literal">matplotlib.widgets.Widget</code></a>

Widget that is connected to a single

<a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal">Axes</code></a>.

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:

<dd>The parent axes for the widget</dd>

<dt>canvas : <a class="reference internal" href="backend_bases_api.html#matplotlib.backend_bases.FigureCanvasBase" title="matplotlib.backend_bases.FigureCanvasBase"><code class="xref py py-class docutils literal">FigureCanvasBase</code></a> subclass</dt>

<dd>The parent figure canvas for the widget.</dd>

<dt>active : bool</dt>

<dd>If False, the widget does not respond to events.</dd>

</dl>

<code class="descname">connect_event</code>(event, callback)<a class="headerlink" href="#matplotlib.widgets.AxesWidget.connect_event" title="Permalink to this definition">¶</a></dt>

<dd>Connect callback with an event.

This should be used in lieu of <code class="xref py py-obj docutils literal">figure.canvas.mpl_connect</code> since this

function stores callback ids for later clean up.

</dd></dl>

<code class="descname">disconnect_events</code>()<a class="headerlink" href="#matplotlib.widgets.AxesWidget.disconnect_events" title="Permalink to this definition">¶</a></dt>

<dd>Disconnect all events created by this widget.

</dd></dl>

class <code class="descclassname">matplotlib.widgets.</code><code class="descname">Button</code>(ax, label, image=None, color='0.85', hovercolor='0.95')<a class="headerlink" href="#matplotlib.widgets.Button" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <a class="reference internal" href="#matplotlib.widgets.AxesWidget" title="matplotlib.widgets.AxesWidget"><code class="xref py py-class docutils literal">matplotlib.widgets.AxesWidget</code></a>

A GUI neutral button.

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

The following attributes are accessible

<dd>The <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal">matplotlib.axes.Axes</code></a> the button renders into.</dd>

<dt>label</dt>

<dd>A <a class="reference internal" href="text_api.html#matplotlib.text.Text" title="matplotlib.text.Text"><code class="xref py py-class docutils literal">matplotlib.text.Text</code></a> instance.</dd>

<dt>color</dt>

<dd>The color of the button when not hovering.</dd>

<dt>hovercolor</dt>

<dd>The color of the button when hovering.</dd>

</dl>

</div></blockquote>

Call <a class="reference internal" href="#matplotlib.widgets.Button.on_clicked" title="matplotlib.widgets.Button.on_clicked"><code class="xref py py-meth docutils literal">on_clicked()</code></a> to connect to the button

<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body">ax : matplotlib.axes.Axes

<div>The <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal">matplotlib.axes.Axes</code></a> instance the button

will be placed into.

</div></blockquote>

label : str

<div>The button text. Accepts string.

</div></blockquote>

image : array, mpl image, Pillow Image

<div>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).

</div></blockquote>

color : color

<div>The color of the button when not activated

</div></blockquote>

hovercolor : color

<div>The color of the button when the mouse is over it

</div></blockquote>

</td>

</tr>

</tbody>

</table>

<code class="descname">disconnect</code>(cid)<a class="headerlink" href="#matplotlib.widgets.Button.disconnect" title="Permalink to this definition">¶</a></dt>

<dd>remove the observer with connection id cid

</dd></dl>

<code class="descname">on_clicked</code>(func)<a class="headerlink" href="#matplotlib.widgets.Button.on_clicked" title="Permalink to this definition">¶</a></dt>

<dd>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.

</dd></dl>

class <code class="descclassname">matplotlib.widgets.</code><code class="descname">CheckButtons</code>(ax, labels, actives)<a class="headerlink" href="#matplotlib.widgets.CheckButtons" title="Permalink to this definition">¶</a></dt>

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

located in</dd>

<dt>labels</dt>

<dd>List of <a class="reference internal" href="text_api.html#matplotlib.text.Text" title="matplotlib.text.Text"><code class="xref py py-class docutils literal">matplotlib.text.Text</code></a> instances</dd>

<dt>lines</dt>

<dd>List of (line1, line2) tuples for the x’s in the check boxes.

These lines exist for each box, but have <code class="docutils literal">set_visible(False)</code>

when its box is not checked.</dd>

<dt>rectangles</dt>

<dd>List of <a class="reference internal" href="patches_api.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle"><code class="xref py py-class docutils literal">matplotlib.patches.Rectangle</code></a> instances</dd>

</dl>

</div></blockquote>

Connect to the CheckButtons with the <a class="reference internal" href="#matplotlib.widgets.CheckButtons.on_clicked" title="matplotlib.widgets.CheckButtons.on_clicked"><code class="xref py py-meth docutils literal">on_clicked()</code></a> method

Add check buttons to <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal">matplotlib.axes.Axes</code></a> instance ax

<dt>labels</dt>

<dd>A len(buttons) list of labels as strings</dd>

<dt>actives</dt>

<dt>A len(buttons) list of booleans indicating whether</dt>

<dd>the button is active</dd>

</dl>

</dd>

</dl>

<code class="descname">disconnect</code>(cid)<a class="headerlink" href="#matplotlib.widgets.CheckButtons.disconnect" title="Permalink to this definition">¶</a></dt>

<dd>remove the observer with connection id cid

</dd></dl>

<code class="descname">on_clicked</code>(func)<a class="headerlink" href="#matplotlib.widgets.CheckButtons.on_clicked" title="Permalink to this definition">¶</a></dt>

<dd>When the button is clicked, call func with button label

A connection id is returned which can be used to disconnect

</dd></dl>

<code class="descname">set_active</code>(index)<a class="headerlink" href="#matplotlib.widgets.CheckButtons.set_active" title="Permalink to this definition">¶</a></dt>

<dd>Directly (de)activate a check button by index.

<dt>index is an index into the original label list</dt>

<dd>that this object was constructed with.

Raises ValueError if index is invalid.</dd>

</dl>

Callbacks will be triggered if <code class="xref py py-attr docutils literal">eventson</code> is True.

</dd></dl>

class <code class="descclassname">matplotlib.widgets.</code><code class="descname">Cursor</code>(ax, horizOn=True, vertOn=True, useblit=False, **lineprops)<a class="headerlink" href="#matplotlib.widgets.Cursor" title="Permalink to this definition">¶</a></dt>

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:

<dt>horizOn</dt>

<dd>Controls the visibility of the horizontal line</dd>

<dt>vertOn</dt>

<dd>Controls the visibility of the horizontal line</dd>

</dl>

</div></blockquote>

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 <code class="docutils literal">useblit=True</code>, use the backend-

dependent blitting features for faster updates (GTKAgg

only for now). lineprops is a dictionary of line properties.

(<a class="reference external" href="../mpl_examples/widgets/cursor.py">Source code</a>, <a class="reference external" href="../mpl_examples/widgets/cursor.png">png</a>, <a class="reference external" href="../mpl_examples/widgets/cursor.hires.png">hires.png</a>, <a class="reference external" href="../mpl_examples/widgets/cursor.pdf">pdf</a>)

</div>

<code class="descname">clear</code>(event)<a class="headerlink" href="#matplotlib.widgets.Cursor.clear" title="Permalink to this definition">¶</a></dt>

<dd>clear the cursor

</dd></dl>

<code class="descname">onmove</code>(event)<a class="headerlink" href="#matplotlib.widgets.Cursor.onmove" title="Permalink to this definition">¶</a></dt>

<dd>on mouse motion draw the cursor if visible

</dd></dl>

class <code class="descclassname">matplotlib.widgets.</code><code class="descname">EllipseSelector</code>(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)<a class="headerlink" href="#matplotlib.widgets.EllipseSelector" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <a class="reference internal" href="#matplotlib.widgets.RectangleSelector" title="matplotlib.widgets.RectangleSelector"><code class="xref py py-class docutils literal">matplotlib.widgets.RectangleSelector</code></a>

Select an elliptical region of an axes.

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

it.

Example usage:

<div class="highlight-python"><div class="highlight"><pre>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()

</pre></div>

</div>

Create a selector in ax. When a selection is made, clear

the span and call onselect with:

<div class="highlight-python"><div class="highlight"><pre>onselect(pos_1, pos_2)

</pre></div>

</div>

and clear the drawn box/line. The <code class="docutils literal">pos_1</code> and <code class="docutils literal">pos_2</code> 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:

<div class="highlight-python"><div class="highlight"><pre>rectprops = dict(facecolor='red', edgecolor = 'black',

alpha=0.2, fill=True)

</pre></div>

</div>

The line is drawn with lineprops; default:

<div class="highlight-python"><div class="highlight"><pre>lineprops = dict(color='black', linestyle='-',

linewidth = 2, alpha=0.5)

</pre></div>

</div>

Use drawtype if you want the mouse to draw a line,

a box or nothing between click and actual position by setting

<code class="docutils literal">drawtype = 'line'</code>, <code class="docutils literal">drawtype='box'</code> or <code class="docutils literal">drawtype = 'none'</code>.

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.

<dt>Note, typically:</dt>

<dd>1 = left mouse button

2 = center mouse button (scroll wheel)

3 = right mouse button</dd>

</dl>

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.

<code class="descname">draw_shape</code>(extents)<a class="headerlink" href="#matplotlib.widgets.EllipseSelector.draw_shape" title="Permalink to this definition">¶</a></dt>

</dd></dl>

class <code class="descclassname">matplotlib.widgets.</code><code class="descname">Lasso</code>(ax, xy, callback=None, useblit=True)<a class="headerlink" href="#matplotlib.widgets.Lasso" title="Permalink to this definition">¶</a></dt>

Selection curve of an arbitrary shape.

The selected path can be used in conjunction with

<a class="reference internal" href="path_api.html#matplotlib.path.Path.contains_point" title="matplotlib.path.Path.contains_point"><code class="xref py py-func docutils literal">contains_point()</code></a> to select data points

from an image.

Unlike <a class="reference internal" href="#matplotlib.widgets.LassoSelector" title="matplotlib.widgets.LassoSelector"><code class="xref py py-class docutils literal">LassoSelector</code></a>, this must be initialized with a starting

point <code class="xref py py-obj docutils literal">xy</code>, and the <a class="reference internal" href="#matplotlib.widgets.Lasso" title="matplotlib.widgets.Lasso"><code class="xref py py-obj docutils literal">Lasso</code></a> events are destroyed upon release.

Parameters:

<dd>The parent axes for the widget.</dd>

<dt>xy : array</dt>

<dd>Coordinates of the start of the lasso.</dd>

<dt>callback : function</dt>

<dd>Whenever the lasso is released, the <code class="xref py py-obj docutils literal">callback</code> function is called and

passed the vertices of the selected path.</dd>

</dl>

<code class="descname">onmove</code>(event)<a class="headerlink" href="#matplotlib.widgets.Lasso.onmove" title="Permalink to this definition">¶</a></dt>

<code class="descname">onrelease</code>(event)<a class="headerlink" href="#matplotlib.widgets.Lasso.onrelease" title="Permalink to this definition">¶</a></dt>

</dd></dl>

class <code class="descclassname">matplotlib.widgets.</code><code class="descname">LassoSelector</code>(ax, onselect=None, useblit=True, lineprops=None, button=None)<a class="headerlink" href="#matplotlib.widgets.LassoSelector" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <code class="xref py py-class docutils literal">matplotlib.widgets._SelectorWidget</code>

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

data points from an image.

In contrast to <a class="reference internal" href="#matplotlib.widgets.Lasso" title="matplotlib.widgets.Lasso"><code class="xref py py-class docutils literal">Lasso</code></a>, <a class="reference internal" href="#matplotlib.widgets.LassoSelector" title="matplotlib.widgets.LassoSelector"><code class="xref py py-obj docutils literal">LassoSelector</code></a> is written with an interface

similar to <a class="reference internal" href="#matplotlib.widgets.RectangleSelector" title="matplotlib.widgets.RectangleSelector"><code class="xref py py-class docutils literal">RectangleSelector</code></a> and <a class="reference internal" href="#matplotlib.widgets.SpanSelector" title="matplotlib.widgets.SpanSelector"><code class="xref py py-class docutils literal">SpanSelector</code></a> and will

continue to interact with the axes until disconnected.

Parameters:

<dd>The parent axes for the widget.</dd>

<dt>onselect : function</dt>

<dd>Whenever the lasso is released, the <code class="xref py py-obj docutils literal">onselect</code> function is called and

passed the vertices of the selected path.</dd>

</dl>

Example usage:

<div class="highlight-python"><div class="highlight"><pre> 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

</pre></div>

</div>

<code class="descname">onpress</code>(event)<a class="headerlink" href="#matplotlib.widgets.LassoSelector.onpress" title="Permalink to this definition">¶</a></dt>

<code class="descname">onrelease</code>(event)<a class="headerlink" href="#matplotlib.widgets.LassoSelector.onrelease" title="Permalink to this definition">¶</a></dt>

</dd></dl>

class <code class="descclassname">matplotlib.widgets.</code><code class="descname">LockDraw</code><a class="headerlink" href="#matplotlib.widgets.LockDraw" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <code class="xref py py-class docutils literal">object</code>

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 <code class="docutils literal">matplotlib.widgets.lock(someobj)</code> to prevent

other widgets from drawing while you’re interacting with the canvas.

<code class="descname">available</code>(o)<a class="headerlink" href="#matplotlib.widgets.LockDraw.available" title="Permalink to this definition">¶</a></dt>

<dd>drawing is available to o

</dd></dl>

<code class="descname">isowner</code>(o)<a class="headerlink" href="#matplotlib.widgets.LockDraw.isowner" title="Permalink to this definition">¶</a></dt>

<dd>Return True if o owns this lock

</dd></dl>

<code class="descname">locked</code>()<a class="headerlink" href="#matplotlib.widgets.LockDraw.locked" title="Permalink to this definition">¶</a></dt>

<dd>Return True if the lock is currently held by an owner

</dd></dl>

<code class="descname">release</code>(o)<a class="headerlink" href="#matplotlib.widgets.LockDraw.release" title="Permalink to this definition">¶</a></dt>

<dd>release the lock

</dd></dl>

class <code class="descclassname">matplotlib.widgets.</code><code class="descname">MultiCursor</code>(canvas, axes, useblit=True, horizOn=False, vertOn=True, **lineprops)<a class="headerlink" href="#matplotlib.widgets.MultiCursor" title="Permalink to this definition">¶</a></dt>

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:

<div class="highlight-python"><div class="highlight"><pre>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()

</pre></div>

</div>

<code class="descname">clear</code>(event)<a class="headerlink" href="#matplotlib.widgets.MultiCursor.clear" title="Permalink to this definition">¶</a></dt>

<dd>clear the cursor

</dd></dl>

<code class="descname">connect</code>()<a class="headerlink" href="#matplotlib.widgets.MultiCursor.connect" title="Permalink to this definition">¶</a></dt>

<dd>connect events

</dd></dl>

<code class="descname">disconnect</code>()<a class="headerlink" href="#matplotlib.widgets.MultiCursor.disconnect" title="Permalink to this definition">¶</a></dt>

<dd>disconnect events

</dd></dl>

<code class="descname">onmove</code>(event)<a class="headerlink" href="#matplotlib.widgets.MultiCursor.onmove" title="Permalink to this definition">¶</a></dt>

</dd></dl>

class <code class="descclassname">matplotlib.widgets.</code><code class="descname">RadioButtons</code>(ax, labels, active=0, activecolor='blue')<a class="headerlink" href="#matplotlib.widgets.RadioButtons" title="Permalink to this definition">¶</a></dt>

A GUI neutral radio button.

For the buttons to remain responsive

you must keep a reference to this object.

The following attributes are exposed:

<dt>activecolor</dt>

<dd>The color of the button when clicked</dd>

<dt>labels</dt>

<dd>A list of <a class="reference internal" href="text_api.html#matplotlib.text.Text" title="matplotlib.text.Text"><code class="xref py py-class docutils literal">matplotlib.text.Text</code></a> instances</dd>

<dt>circles</dt>

<dd>A list of <a class="reference internal" href="patches_api.html#matplotlib.patches.Circle" title="matplotlib.patches.Circle"><code class="xref py py-class docutils literal">matplotlib.patches.Circle</code></a> instances</dd>

<dt>value_selected</dt>

<dd>A string listing the current value selected</dd>

</dl>

</div></blockquote>

Connect to the RadioButtons with the <a class="reference internal" href="#matplotlib.widgets.RadioButtons.on_clicked" title="matplotlib.widgets.RadioButtons.on_clicked"><code class="xref py py-meth docutils literal">on_clicked()</code></a> method

Add radio buttons to <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal">matplotlib.axes.Axes</code></a> instance ax

<dt>labels</dt>

<dd>A len(buttons) list of labels as strings</dd>

<dt>active</dt>

<dd>The index into labels for the button that is active</dd>

<dt>activecolor</dt>

<dd>The color of the button when clicked</dd>

</dl>

<code class="descname">disconnect</code>(cid)<a class="headerlink" href="#matplotlib.widgets.RadioButtons.disconnect" title="Permalink to this definition">¶</a></dt>

<dd>remove the observer with connection id cid

</dd></dl>

<code class="descname">on_clicked</code>(func)<a class="headerlink" href="#matplotlib.widgets.RadioButtons.on_clicked" title="Permalink to this definition">¶</a></dt>

<dd>When the button is clicked, call func with button label

A connection id is returned which can be used to disconnect

</dd></dl>

<code class="descname">set_active</code>(index)<a class="headerlink" href="#matplotlib.widgets.RadioButtons.set_active" title="Permalink to this definition">¶</a></dt>

<dd>Trigger which radio button to make active.

<dt>index is an index into the original label list</dt>

<dd>that this object was constructed with.

Raise ValueError if the index is invalid.</dd>

</dl>

Callbacks will be triggered if <code class="xref py py-attr docutils literal">eventson</code> is True.

</dd></dl>

class <code class="descclassname">matplotlib.widgets.</code><code class="descname">RectangleSelector</code>(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)<a class="headerlink" href="#matplotlib.widgets.RectangleSelector" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <code class="xref py py-class docutils literal">matplotlib.widgets._SelectorWidget</code>

Select a rectangular region of an axes.

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

it.

Example usage:

<div class="highlight-python"><div class="highlight"><pre>from matplotlib.widgets import RectangleSelector

from pylab import *

def onselect(eclick, erelease):

'eclick and erelease are matplotlib events at press and release'

def toggle_selector(event):

print(' Key pressed.')

if event.key in ['Q', 'q'] and toggle_selector.RS.active:

print(' RectangleSelector deactivated.')

if event.key in ['A', 'a'] and not toggle_selector.RS.active:

print(' RectangleSelector activated.')

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()

</pre></div>

</div>

Create a selector in ax. When a selection is made, clear

the span and call onselect with:

</pre></div>

</div>

and clear the drawn box/line. The <code class="docutils literal">pos_1</code> and <code class="docutils literal">pos_2</code> 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:

</pre></div>

</div>

The line is drawn with lineprops; default:

</pre></div>

</div>

Use drawtype if you want the mouse to draw a line,

a box or nothing between click and actual position by setting

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.

<dt>Note, typically:</dt>

<dd>1 = left mouse button

2 = center mouse button (scroll wheel)

3 = right mouse button</dd>

</dl>

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.

<code class="descname">center</code><a class="headerlink" href="#matplotlib.widgets.RectangleSelector.center" title="Permalink to this definition">¶</a></dt>

<dd>Center of rectangle

</dd></dl>

<code class="descname">corners</code><a class="headerlink" href="#matplotlib.widgets.RectangleSelector.corners" title="Permalink to this definition">¶</a></dt>

<dd>Corners of rectangle from lower left, moving clockwise.

</dd></dl>

<code class="descname">draw_shape</code>(extents)<a class="headerlink" href="#matplotlib.widgets.RectangleSelector.draw_shape" title="Permalink to this definition">¶</a></dt>

<code class="descname">edge_centers</code><a class="headerlink" href="#matplotlib.widgets.RectangleSelector.edge_centers" title="Permalink to this definition">¶</a></dt>

<dd>Midpoint of rectangle edges from left, moving clockwise.

</dd></dl>

<code class="descname">extents</code><a class="headerlink" href="#matplotlib.widgets.RectangleSelector.extents" title="Permalink to this definition">¶</a></dt>

<dd>Return (xmin, xmax, ymin, ymax).

</dd></dl>

<code class="descname">geometry</code><a class="headerlink" href="#matplotlib.widgets.RectangleSelector.geometry" title="Permalink to this definition">¶</a></dt>

</dd></dl>

class <code class="descclassname">matplotlib.widgets.</code><code class="descname">Slider</code>(ax, label, valmin, valmax, valinit=0.5, valfmt='%1.2f', closedmin=True, closedmax=True, slidermin=None, slidermax=None, dragging=True, **kwargs)<a class="headerlink" href="#matplotlib.widgets.Slider" title="Permalink to this definition">¶</a></dt>

A slider representing a floating point range.

For the slider to remain responsive you must maintain a

reference to it.

<dt>The following attributes are defined</dt>

<dd>ax : the slider <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal">matplotlib.axes.Axes</code></a> instance

val : the current slider value

<dt>vline : a <a class="reference internal" href="lines_api.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D"><code class="xref py py-class docutils literal">matplotlib.lines.Line2D</code></a> instance</dt>

<dd>representing the initial value of the slider</dd>

<dt>poly : A <a class="reference internal" href="patches_api.html#matplotlib.patches.Polygon" title="matplotlib.patches.Polygon"><code class="xref py py-class docutils literal">matplotlib.patches.Polygon</code></a> instance</dt>

<dd>which is the slider knob</dd>

</dl>

valfmt : the format string for formatting the slider text

<dt>label : a <a class="reference internal" href="text_api.html#matplotlib.text.Text" title="matplotlib.text.Text"><code class="xref py py-class docutils literal">matplotlib.text.Text</code></a> instance</dt>

<dd>for the slider label</dd>

</dl>

closedmin : whether the slider is closed on the minimum

closedmax : whether the slider is closed on the maximum

<dt>slidermin : another slider - if not None, this slider must be</dt>

<dd>greater than slidermin</dd>

<dt>slidermax : another slider - if not None, this slider must be</dt>

<dd>less than slidermax</dd>

</dl>

dragging : allow for mouse dragging on slider

</dd>

</dl>

Call <a class="reference internal" href="#matplotlib.widgets.Slider.on_changed" title="matplotlib.widgets.Slider.on_changed"><code class="xref py py-meth docutils literal">on_changed()</code></a> to connect to the slider event

Create a slider from valmin to valmax in axes ax.

Additional kwargs are passed on to <code class="docutils literal">self.poly</code> which is the

<a class="reference internal" href="patches_api.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle"><code class="xref py py-class docutils literal">matplotlib.patches.Rectangle</code></a> that draws the slider

knob. See the <a class="reference internal" href="patches_api.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle"><code class="xref py py-class docutils literal">matplotlib.patches.Rectangle</code></a> documentation for

valid property names (e.g., facecolor, edgecolor, alpha, ...).

<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body">ax : Axes

<div>The Axes to put the slider in

</div></blockquote>

label : str

<div>Slider label

</div></blockquote>

valmin : float

<div>The minimum value of the slider

</div></blockquote>

valmax : float

<div>The maximum value of the slider

</div></blockquote>

valinit : float

<div>The slider initial position

</div></blockquote>

label : str

<div>The slider label

</div></blockquote>

valfmt : str

<div>Used to format the slider value, fprint format string

</div></blockquote>

closedmin : bool

<div>Indicate whether the slider interval is closed on the bottom

</div></blockquote>

closedmax : bool

<div>Indicate whether the slider interval is closed on the top

</div></blockquote>

slidermin : Slider or None

<div>Do not allow the current slider to have a value less than

<code class="xref py py-obj docutils literal">slidermin</code>

</div></blockquote>

slidermax : Slider or None

<div>Do not allow the current slider to have a value greater than

<code class="xref py py-obj docutils literal">slidermax</code>

</div></blockquote>

dragging : bool

<div>if the slider can be dragged by the mouse

</div></blockquote>

</td>

</tr>

</tbody>

</table>

<code class="descname">disconnect</code>(cid)<a class="headerlink" href="#matplotlib.widgets.Slider.disconnect" title="Permalink to this definition">¶</a></dt>

<dd>remove the observer with connection id cid

</dd></dl>

<code class="descname">on_changed</code>(func)<a class="headerlink" href="#matplotlib.widgets.Slider.on_changed" title="Permalink to this definition">¶</a></dt>

<dd>When the slider value is changed, call func with the new

slider position

A connection id is returned which can be used to disconnect

</dd></dl>

<code class="descname">reset</code>()<a class="headerlink" href="#matplotlib.widgets.Slider.reset" title="Permalink to this definition">¶</a></dt>

<dd>reset the slider to the initial value if needed

</dd></dl>

</dd></dl>

class <code class="descclassname">matplotlib.widgets.</code><code class="descname">SpanSelector</code>(ax, onselect, direction, minspan=None, useblit=False, rectprops=None, onmove_callback=None, span_stays=False, button=None)<a class="headerlink" href="#matplotlib.widgets.SpanSelector" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <code class="xref py py-class docutils literal">matplotlib.widgets._SelectorWidget</code>

Select a min/max range of the x or y axes for a matplotlib Axes.

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

it.

Example usage:

<div class="highlight-python"><div class="highlight"><pre>ax = subplot(111)

ax.plot(x,y)

def onselect(vmin, vmax):

print vmin, vmax

span = SpanSelector(ax, onselect, 'horizontal')

</pre></div>

</div>

onmove_callback is an optional callback that is called on mouse

move within the span range

Create a span selector in ax. When a selection is made, clear

the span and call onselect with:

<div class="highlight-python"><div class="highlight"><pre>onselect(vmin, vmax)

</pre></div>

</div>

and clear the span.

direction must be ‘horizontal’ or ‘vertical’

If minspan is not None, ignore events smaller than minspan

The span rectangle is drawn with rectprops; default:

<div class="highlight-python"><div class="highlight"><pre>rectprops = dict(facecolor='red', alpha=0.5)

</pre></div>

</div>

Set the visible attribute to False if you want to turn off

the functionality of the span selector

If span_stays is True, the span stays visble after making

a valid selection.

button is a list of integers indicating which mouse buttons should

be used for 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.

<dt>Note, typically:</dt>

<dd>1 = left mouse button

2 = center mouse button (scroll wheel)

3 = right mouse button</dd>

</dl>

<code class="descname">ignore</code>(event)<a class="headerlink" href="#matplotlib.widgets.SpanSelector.ignore" title="Permalink to this definition">¶</a></dt>

<dd>return True if event should be ignored

</dd></dl>

</dd></dl>

class <code class="descclassname">matplotlib.widgets.</code><code class="descname">SubplotTool</code>(targetfig, toolfig)<a class="headerlink" href="#matplotlib.widgets.SubplotTool" title="Permalink to this definition">¶</a></dt>

A tool to adjust the subplot params of a <a class="reference internal" href="figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><code class="xref py py-class docutils literal">matplotlib.figure.Figure</code></a>.

<dt>targetfig</dt>

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