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.. _navigation-toolbar:
Interactive navigation
======================
.. image:: ../_static/toolbar.png
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
.. image:: ../../lib/matplotlib/mpl-data/images/home_large.png
.. image:: ../../lib/matplotlib/mpl-data/images/back_large.png
.. image:: ../../lib/matplotlib/mpl-data/images/forward_large.png
The ``Home``, ``Forward`` and ``Back`` buttons
These are akin to a web browser's home, forward and back controls.
``Forward`` and ``Back`` 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 ``Back`` on your web browser before visiting a
new page or ``Forward`` before you have gone back to a page --
nothing happens. ``Home`` always takes you to the
first, default view of your data. Again, all of these buttons should
feel very familiar to any user of a web browser.
.. image:: ../../lib/matplotlib/mpl-data/images/move_large.png
The ``Pan/Zoom`` button
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 proportionately to the rightward
movement and zoomed out proportionately to the leftward movement.
The same is true for the y axis and up/down motions. The point under your
mouse when you begin the zoom remains stationary, allowing you to
zoom in or out around that point as much as you wish. 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.
.. image:: ../../lib/matplotlib/mpl-data/images/zoom_to_rect_large.png
The ``Zoom-to-rectangle`` button
Click this toolbar button to activate this mode. Put your mouse somewhere
over an axes and press a mouse button. Define a rectangular region by
dragging the mouse while holding the button to a new location. When using
the left mouse button, the axes view limits will be zoomed to the defined
region. When using the right mouse button, the axes view limits will be
zoomed out, placing the original axes in the defined region.
.. image:: ../../lib/matplotlib/mpl-data/images/subplots_large.png
The ``Subplot-configuration`` button
Use this tool to configure the appearance of the subplot:
you can stretch or compress the left, right, top, or bottom
side of the subplot, or the space between the rows or
space between the columns.
.. image:: ../../lib/matplotlib/mpl-data/images/filesave_large.png
The ``Save`` button
Click this button to launch a file save dialog. You can save
files with the following extensions: ``png``, ``ps``, ``eps``,
``svg`` and ``pdf``.
.. _key-event-handling:
Navigation Keyboard Shortcuts
-----------------------------
The following table holds all the default keys, which can be overwritten by use of your matplotlibrc (#keymap.\*).
================================== =================================================
Command Keyboard Shortcut(s)
================================== =================================================
Home/Reset **h** or **r** or **home**
Back **c** or **left arrow** or **backspace**
Forward **v** or **right arrow**
Pan/Zoom **p**
Zoom-to-rect **o**
Save **ctrl** + **s**
Toggle fullscreen **f** or **ctrl** + **f**
Close plot **ctrl** + **w**
Close all plots **shift** + **w**
Constrain pan/zoom to x axis hold **x** when panning/zooming with mouse
Constrain pan/zoom to y axis hold **y** when panning/zooming with mouse
Preserve aspect ratio hold **CONTROL** when panning/zooming with mouse
Toggle major grids **g** when mouse is over an axes
Toggle minor grids **G** when mouse is over an axes
Toggle x axis scale (log/linear) **L** or **k** when mouse is over an axes
Toggle y axis scale (log/linear) **l** when mouse is over an axes
================================== =================================================
If you are using :mod:`matplotlib.pyplot` 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
``matplotlib/examples/user_interfaces`` directory. Here is some
example code for GTK+ 3::
import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk
from matplotlib.figure import Figure
from matplotlib.backends.backend_gtk3agg import FigureCanvas
from matplotlib.backends.backend_gtk3 import (
NavigationToolbar2GTK3 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, True, True, 0)
toolbar = NavigationToolbar(canvas, win)
vbox.pack_start(toolbar, False, False, 0)
win.show_all()
Gtk.main()
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