The ``style`` package adds support for easy-to-switch plotting "styles" with

the same parameters as amatplotlibrc_ file.

the same parameters as amatplotlibrc_ file (which is read at startup to

configure matplotlib).

There are a number of pre-defined styles provided by matplotlib. For

example, there's a pre-defined style called "ggplot", which emulates the

..image::../../lib/matplotlib/mpl-data/images/forward_large.png

The ``Forward`` and ``Back`` buttons

These are akin tothe web browserforward and backbuttons. 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

The ``Home``, ``Forward`` and ``Back`` buttons

These are akin toa web browser's home,forward and backcontrols.

``Forward`` and ``Back``are used to navigate back and forth between

previously definedviews. They have no meaning unless you have already

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

to trying to click ``Back`` on your web browser before visiting a

new page--nothing happens. ``Home``always takesyou tothe

first, default view of your data.For``Home``, ``Forward`` and

``Back``, think web browser where data views are web pages. Use

the pan and zoomtorectangle to define new views.

new pageor ``Forward``beforeyouhave gone backtoa page --

nothing happens. ``Home`` always takes you to the

first, default view of your data. Again, all of these buttons should

feel very familiartoany user of a web browser.

..image::../../lib/matplotlib/mpl-data/images/move_large.png

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 inproportionate to the rightward

movement and zoomed outproportionate to the leftward movement.

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

The x axis will be zoomed inproportionately to the rightward

movement and zoomed outproportionately 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

zoomto an arbitrarypointin the figure. You can use the

zoomin or out around thatpointas 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.

The ``Zoom-to-rectangle`` button

Click this toolbar button to activate this mode. Put your mouse

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

somewhere overan 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

Text introduction

matplotlib has excellent text support, including mathematical

expressions, truetype support for raster and vector outputs, newline

separated text with arbitrary rotations, and unicode support. Because

we embed the fonts directly in the output documents, e.g., for postscript

matplotlib has extensive text support, including support for

mathematical expressions, truetype support for raster and

vector outputs, newline separated text with arbitrary

rotations, and unicode support. Because it embeds

fonts directly in output documents, e.g., for postscript

or PDF, what you see on the screen is what you get in the hardcopy.

`FreeType<http://www.freetype.org/>`_ support

produces very nice, antialiased fonts, that look good even at small

raster sizes. matplotlib includes its own

:mod:`matplotlib.font_manager`, thanks to Paul Barrett, which

implements a cross platform, W3C compliant font finding algorithm.

You have total control over every text property (font size, font

weight, text location and color, etc) with sensible defaults set in

the rc file. And significantly for those interested in mathematical

:mod:`matplotlib.font_manager` (thanks to Paul Barrett), which

implements a cross platform, `W3C <http://www.w3.org/>`

compliant font finding algorithm.

The user has a great deal of control over text properties (font size, font

weight, text location and color, etc.) with sensible defaults set in

the `rc file <http://matplotlib.org/users/customizing.html>`.

And significantly, for those interested in mathematical

or scientific figures, matplotlib implements a large number of TeX

math symbols and commands,to support:ref:`mathematical expressions

math symbols and commands,supporting:ref:`mathematical expressions

<mathtext-tutorial>` anywhere in your figure.

*:func:`~matplotlib.pyplot.text` - add text at an arbitrary location to the ``Axes``;

:meth:`matplotlib.axes.Axes.text` in the API.

*:func:`~matplotlib.pyplot.xlabel` - addan axis label to the x-axis;

*:func:`~matplotlib.pyplot.xlabel` - adda label to the x-axis;

:meth:`matplotlib.axes.Axes.set_xlabel` in the API.

*:func:`~matplotlib.pyplot.ylabel` - addan axis label to the y-axis;

*:func:`~matplotlib.pyplot.ylabel` - adda label to the y-axis;

:meth:`matplotlib.axes.Axes.set_ylabel` in the API.

*:func:`~matplotlib.pyplot.title` - add a title to the ``Axes``;