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

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<title>widgets — Matplotlib 1.3.1 documentation</title>

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<li><a class="reference internal" href="#">widgets</a><ul>

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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"><tt class="xref py py-mod docutils literal">matplotlib.widgets</tt></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 an <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><tt class="xref py py-class docutils literal">matplotlib.axes.Axes</tt></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 <tt class="descclassname">matplotlib.widgets.</tt><tt class="descname">AxesWidget</tt><big>(</big>ax<big>)</big><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"><tt class="xref py py-class docutils literal">matplotlib.widgets.Widget</tt></a>

Widget that is connected to a single <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><tt class="xref py py-class docutils literal">Axes</tt></a>.

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"><tt class="xref py py-class docutils literal">FigureCanvasBase</tt></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>

<tt class="descname">connect_event</tt><big>(</big>event, callback<big>)</big><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 <tt class="xref py py-obj docutils literal">figure.canvas.mpl_connect</tt> since this

function stores call back ids for later clean up.

</dd></dl>

<tt class="descname">disconnect_events</tt><big>(</big><big>)</big><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>

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

<dd>Return True if event should be ignored.

This method (or a version of it) should be called at the beginning

of any event callback.

</dd></dl>

class <tt class="descclassname">matplotlib.widgets.</tt><tt class="descname">Button</tt><big>(</big>ax, label, image=None, color='0.85', hovercolor='0.95'<big>)</big><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"><tt class="xref py py-class docutils literal">matplotlib.widgets.AxesWidget</tt></a>

A GUI neutral button

The following attributes are accessible

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

<dt>label</dt>

<dd>A <a class="reference internal" href="artist_api.html#matplotlib.text.Text" title="matplotlib.text.Text"><tt class="xref py py-class docutils literal">matplotlib.text.Text</tt></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"><tt class="xref py py-meth docutils literal">on_clicked()</tt></a> to connect to the button

will be placed into.</dd>

<dt>label</dt>

<dd>The button text. Accepts string.</dd>

<dt>image</dt>

<dd>The image to place in the button, if not None.

Can be any legal arg to imshow (numpy array,

matplotlib Image instance, or PIL image).</dd>

<dt>color</dt>

<dd>The color of the button when not activated</dd>

<dt>hovercolor</dt>

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

</dl>

<tt class="descname">disconnect</tt><big>(</big>cid<big>)</big><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>

<tt class="descname">on_clicked</tt><big>(</big>func<big>)</big><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 which can be used to disconnect

</dd></dl>

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

A GUI neutral radio button

The following attributes are exposed

located in</dd>

<dt>labels</dt>

<dd>List of <a class="reference internal" href="artist_api.html#matplotlib.text.Text" title="matplotlib.text.Text"><tt class="xref py py-class docutils literal">matplotlib.text.Text</tt></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 <tt class="docutils literal">set_visible(False)</tt>

when its box is not checked.</dd>

<dt>rectangles</dt>

<dd>List of <a class="reference internal" href="artist_api.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle"><tt class="xref py py-class docutils literal">matplotlib.patches.Rectangle</tt></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"><tt class="xref py py-meth docutils literal">on_clicked()</tt></a> method

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

<tt class="descname">disconnect</tt><big>(</big>cid<big>)</big><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>

<tt class="descname">on_clicked</tt><big>(</big>func<big>)</big><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>

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

A horizontal and vertical line span the axes that and move with

the pointer. You can turn off the hline or vline spectively with

the 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

Add a cursor to ax. If <tt class="docutils literal">useblit=True</tt>, 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>

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

<dd>clear the cursor

</dd></dl>

<tt class="descname">onmove</tt><big>(</big>event<big>)</big><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 <tt class="descclassname">matplotlib.widgets.</tt><tt class="descname">Lasso</tt><big>(</big>ax, xy, callback=None, useblit=True<big>)</big><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"><tt class="xref py py-func docutils literal">contains_point()</tt></a> to select data points

from an image.

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

point <tt class="xref py py-obj docutils literal">xy</tt>, and the <a class="reference internal" href="#matplotlib.widgets.Lasso" title="matplotlib.widgets.Lasso"><tt class="xref py py-obj docutils literal">Lasso</tt></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 <tt class="xref py py-obj docutils literal">callback</tt> function is called and

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

</dl>

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

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

</dd></dl>

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

Selection curve of an arbitrary shape.

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

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

</pre></div>

</div>

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

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

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

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

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

</dd></dl>

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

<dd>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 <tt class="docutils literal">matplotlib.widgets.lock(someobj)</tt> to pr

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

<dd>drawing is available to o

</dd></dl>

<tt class="descname">isowner</tt><big>(</big>o<big>)</big><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>

<tt class="descname">locked</tt><big>(</big><big>)</big><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>

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

<dd>release the lock

</dd></dl>

class <tt class="descclassname">matplotlib.widgets.</tt><tt class="descname">MultiCursor</tt><big>(</big>canvas, axes, useblit=True, horizOn=False, vertOn=True, **lineprops<big>)</big><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

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>

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

<dd>clear the cursor

</dd></dl>

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

</dd></dl>

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

A GUI neutral radio button

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="artist_api.html#matplotlib.text.Text" title="matplotlib.text.Text"><tt class="xref py py-class docutils literal">matplotlib.text.Text</tt></a> instances</dd>

<dt>circles</dt>

<dd>A list of <a class="reference internal" href="artist_api.html#matplotlib.patches.Circle" title="matplotlib.patches.Circle"><tt class="xref py py-class docutils literal">matplotlib.patches.Circle</tt></a> instances</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"><tt class="xref py py-meth docutils literal">on_clicked()</tt></a> method

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

<tt class="descname">disconnect</tt><big>(</big>cid<big>)</big><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>

<tt class="descname">on_clicked</tt><big>(</big>func<big>)</big><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>

class <tt class="descclassname">matplotlib.widgets.</tt><tt class="descname">RectangleSelector</tt><big>(</big>ax, onselect, drawtype='box', minspanx=None, minspany=None, useblit=False, lineprops=None, rectprops=None, spancoords='data', button=None<big>)</big><a class="headerlink" href="#matplotlib.widgets.RectangleSelector" title="Permalink to this definition">¶</a></dt>

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

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'

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.'

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()

</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 <tt class="docutils literal">pos_1</tt> and <tt class="docutils literal">pos_2</tt> 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=0.5, fill=False)

</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

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

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>

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

<dd>Get status of active mode (boolean variable)

</dd></dl>

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

<dd>return True if event should be ignored

</dd></dl>

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

<dd>on motion notify event if box/line is wanted

</dd></dl>

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

<dd>on button press event

</dd></dl>

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

<dd>on button release event

</dd></dl>

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

<dd>Use this to activate / deactivate the RectangleSelector

from your program with an boolean parameter active.

</dd></dl>

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

<dd>draw using newfangled blit or oldfangled draw depending on

useblit

</dd></dl>

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

<dd>force an update of the background

</dd></dl>

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

A slider representing a floating point range

<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"><tt class="xref py py-class docutils literal">matplotlib.axes.Axes</tt></a> instance

val : the current slider value

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

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

<dt>poly : A <a class="reference internal" href="artist_api.html#matplotlib.patches.Polygon" title="matplotlib.patches.Polygon"><tt class="xref py py-class docutils literal">matplotlib.patches.Polygon</tt></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="artist_api.html#matplotlib.text.Text" title="matplotlib.text.Text"><tt class="xref py py-class docutils literal">matplotlib.text.Text</tt></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"><tt class="xref py py-meth docutils literal">on_changed()</tt></a> to connect to the slider event

Create a slider from valmin to valmax in axes ax

<dt>valinit</dt>

<dd>The slider initial position</dd>

<dt>label</dt>

<dd>The slider label</dd>

<dt>valfmt</dt>

<dd>Used to format the slider value</dd>

<dt>closedmin and closedmax</dt>

<dd>Indicate whether the slider interval is closed</dd>

<dt>slidermin and slidermax</dt>

<dd>Used to constrain the value of this slider to the values

of other sliders.</dd>

</dl>

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

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

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

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

<tt class="descname">disconnect</tt><big>(</big>cid<big>)</big><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>

<tt class="descname">on_changed</tt><big>(</big>func<big>)</big><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>

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

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

Example usage:

ax.plot(x,y)

def onselect(vmin, vmax):

print vmin, vmax

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

</pre></div>

</div>

<dt>onmove_callback is an optional callback that is called on mouse</dt>

<dd>move within the span range</dd>

</dl>

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

<dt>The span rectangle is drawn with rectprops; default::</dt>

<dd>rectprops = dict(facecolor=’red’, alpha=0.5)</dd>

</dl>

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

the functionality of the span selector

<tt class="descname">ignore</tt><big>(</big>event<big>)</big><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>

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

<dd>on motion notify event

</dd></dl>

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

<dd>on button press event

</dd></dl>

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

<dd>on button release event

</dd></dl>

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

<dd>Draw using newfangled blit or oldfangled draw depending

on useblit

</dd></dl>

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

<dd>force an update of the background

</dd></dl>

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

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

<dt>targetfig</dt>

<dd>The figure instance to adjust</dd>

<dt>toolfig</dt>

<dd>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</dd>

</dl>

<tt class="descname">funcbottom</tt><big>(</big>val<big>)</big><a class="headerlink" href="#matplotlib.widgets.SubplotTool.funcbottom" title="Permalink to this definition">¶</a></dt>

<tt class="descname">funchspace</tt><big>(</big>val<big>)</big><a class="headerlink" href="#matplotlib.widgets.SubplotTool.funchspace" title="Permalink to this definition">¶</a></dt>

<tt class="descname">funcleft</tt><big>(</big>val<big>)</big><a class="headerlink" href="#matplotlib.widgets.SubplotTool.funcleft" title="Permalink to this definition">¶</a></dt>

<tt class="descname">funcright</tt><big>(</big>val<big>)</big><a class="headerlink" href="#matplotlib.widgets.SubplotTool.funcright" title="Permalink to this definition">¶</a></dt>

<tt class="descname">functop</tt><big>(</big>val<big>)</big><a class="headerlink" href="#matplotlib.widgets.SubplotTool.functop" title="Permalink to this definition">¶</a></dt>

<tt class="descname">funcwspace</tt><big>(</big>val<big>)</big><a class="headerlink" href="#matplotlib.widgets.SubplotTool.funcwspace" title="Permalink to this definition">¶</a></dt>

</dd></dl>

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

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

Abstract base class for GUI neutral widgets

<tt class="descname">drawon</tt> = True<a class="headerlink" href="#matplotlib.widgets.Widget.drawon" title="Permalink to this definition">¶</a></dt>

<tt class="descname">eventson</tt> = True<a class="headerlink" href="#matplotlib.widgets.Widget.eventson" title="Permalink to this definition">¶</a></dt>

</dd></dl>

</div>

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