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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>Interactive navigation — Matplotlib 1.5.0 documentation</title>

type="text/css" />

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URL_ROOT: '../',

VERSION: '1.5.0',

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title="Search within Matplotlib 1.5.0 documentation"

href="../_static/opensearch.xml"/>

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<h3>We're updating the default styles for Matplotlib 2.0</h3>

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<h3><a href="../contents.html">Table Of Contents</a></h3>

<ul>

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

<li><a class="reference internal" href="#navigation-keyboard-shortcuts">Navigation Keyboard Shortcuts</a></li>

</ul>

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<h1>Interactive navigation<a class="headerlink" href="#interactive-navigation" title="Permalink to this headline">¶</a></h1>

All figure windows come with a navigation toolbar, which can be used

to navigate through the data set. Here is a description of each of

the buttons at the bottom of the toolbar

<dt>The <code class="docutils literal">Forward</code> and <code class="docutils literal">Back</code> buttons</dt>

<dd>These are akin to the web browser forward and back buttons. They

are used to navigate back and forth between previously defined

views. They have no meaning unless you have already navigated

somewhere else using the pan and zoom buttons. This is analogous

to trying to click <code class="docutils literal">Back</code> on your web browser before visiting a

new page –nothing happens. <code class="docutils literal">Home</code> always takes you to the

first, default view of your data. For <code class="docutils literal">Home</code>, <code class="docutils literal">Forward</code> and

<code class="docutils literal">Back</code>, think web browser where data views are web pages. Use

the pan and zoom to rectangle to define new views.</dd>

</dl>

<dt>The <code class="docutils literal">Pan/Zoom</code> button</dt>

<dd>This button has two modes: pan and zoom. Click the toolbar button

to activate panning and zooming, then put your mouse somewhere

over an axes. Press the left mouse button and hold it to pan the

figure, dragging it to a new position. When you release it, the

data under the point where you pressed will be moved to the point

where you released. If you press ‘x’ or ‘y’ while panning the

motion will be constrained to the x or y axis, respectively. Press

the right mouse button to zoom, dragging it to a new position.

The x axis will be zoomed in proportionate to the rightward

movement and zoomed out proportionate to the leftward movement.

Ditto for the y axis and up/down motions. The point under your

mouse when you begin the zoom remains stationary, allowing you to

zoom to an arbitrary point in the figure. You can use the

modifier keys ‘x’, ‘y’ or ‘CONTROL’ to constrain the zoom to the x

axis, the y axis, or aspect ratio preserve, respectively.

With polar plots, the pan and zoom functionality behaves

differently. The radius axis labels can be dragged using the left

mouse button. The radius scale can be zoomed in and out using the

right mouse button.

</dd>

</dl>

<dt>The <code class="docutils literal">Zoom-to-rectangle</code> button</dt>

<dd>Click this toolbar button to activate this mode. Put your mouse

somewhere over and axes and press the left mouse button. Drag the

mouse while holding the button to a new location and release. The

axes view limits will be zoomed to the rectangle you have defined.

There is also an experimental ‘zoom out to rectangle’ in this mode

with the right button, which will place your entire axes in the

region defined by the zoom out rectangle.</dd>

</dl>

<dt>The <code class="docutils literal">Subplot-configuration</code> button</dt>

<dd>Use this tool to configure the parameters of the subplot: the

left, right, top, bottom, space between the rows and space between

the columns.</dd>

</dl>

<dt>The <code class="docutils literal">Save</code> button</dt>

<dd>Click this button to launch a file save dialog. You can save

files with the following extensions: <code class="docutils literal">png</code>, <code class="docutils literal">ps</code>, <code class="docutils literal">eps</code>,

</dl>

<h2>Navigation Keyboard Shortcuts<a class="headerlink" href="#navigation-keyboard-shortcuts" title="Permalink to this headline">¶</a></h2>

The following table holds all the default keys, which can be overwritten by use of your matplotlibrc (#keymap.*).

</colgroup>

<tr class="row-odd"><th class="head">Command</th>

<th class="head">Keyboard Shortcut(s)</th>

</tr>

</thead>

<tr class="row-even"><td>Home/Reset</td>

</tr>

<td>c or left arrow or backspace</td>

</tr>

<tr class="row-even"><td>Forward</td>

<td>v or right arrow</td>

</tr>

</tr>

</tr>

</tr>

<tr class="row-even"><td>Toggle fullscreen</td>

</tr>

<tr class="row-odd"><td>Close plot</td>

</tr>

<tr class="row-even"><td>Constrain pan/zoom to x axis</td>

<td>hold x when panning/zooming with mouse</td>

</tr>

<tr class="row-odd"><td>Constrain pan/zoom to y axis</td>

<td>hold y when panning/zooming with mouse</td>

</tr>

<tr class="row-even"><td>Preserve aspect ratio</td>

<td>hold CONTROL when panning/zooming with mouse</td>

</tr>

<tr class="row-odd"><td>Toggle grid</td>

<td>g when mouse is over an axes</td>

</tr>

<tr class="row-even"><td>Toggle x axis scale (log/linear)</td>

<td>L or k when mouse is over an axes</td>

</tr>

<tr class="row-odd"><td>Toggle y axis scale (log/linear)</td>

<td>l when mouse is over an axes</td>

</tr>

</tbody>

</table>

If you are using <a class="reference internal" href="../api/pyplot_api.html#module-matplotlib.pyplot" title="matplotlib.pyplot"><code class="xref py py-mod docutils literal">matplotlib.pyplot</code></a> the toolbar will be created

automatically for every figure. If you are writing your own user

interface code, you can add the toolbar as a widget. The exact syntax

depends on your UI, but we have examples for every supported UI in the

<code class="docutils literal">matplotlib/examples/user_interfaces</code> directory. Here is some

example code for GTK:

<div class="highlight-python"><div class="highlight"><pre>from matplotlib.figure import Figure

from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg as FigureCanvas

from matplotlib.backends.backend_gtkagg import NavigationToolbar2GTKAgg as NavigationToolbar

win = gtk.Window()

win.connect("destroy", lambda x: gtk.main_quit())

win.set_default_size(400,300)

win.set_title("Embedding in GTK")

vbox = gtk.VBox()

win.add(vbox)

fig = Figure(figsize=(5,4), dpi=100)

ax = fig.add_subplot(111)

ax.plot([1,2,3])

canvas = FigureCanvas(fig) # a gtk.DrawingArea

vbox.pack_start(canvas)

toolbar = NavigationToolbar(canvas, win)

vbox.pack_start(toolbar, False, False)

win.show_all()

gtk.main()

</pre></div>

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Last updated on Oct 29, 2015.

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