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This is an object-oriented plotting library.
A procedural interface is provided by the companion pyplot module,
which may be imported directly, e.g::
from matplotlib.pyplot import *
To include numpy functions too, use::
from pylab import *
or using ipython::
ipython -pylab
For the most part, direct use of the object-oriented library is
encouraged when programming; pyplot is primarily for working
interactively. The
exceptions are the pyplot commands :func:`~matplotlib.pyplot.figure`,
:func:`~matplotlib.pyplot.subplot`,
:func:`~matplotlib.pyplot.subplots`,
:func:`~matplotlib.backends.backend_qt4agg.show`, and
:func:`~pyplot.savefig`, which can greatly simplify scripting.
Modules include:
:mod:`matplotlib.axes`
defines the :class:`~matplotlib.axes.Axes` class. Most pylab
commands are wrappers for :class:`~matplotlib.axes.Axes`
methods. The axes module is the highest level of OO access to
the library.
:mod:`matplotlib.figure`
defines the :class:`~matplotlib.figure.Figure` class.
:mod:`matplotlib.artist`
defines the :class:`~matplotlib.artist.Artist` base class for
all classes that draw things.
:mod:`matplotlib.lines`
defines the :class:`~matplotlib.lines.Line2D` class for
drawing lines and markers
:mod:`matplotlib.patches`
defines classes for drawing polygons
:mod:`matplotlib.text`
defines the :class:`~matplotlib.text.Text`,
:class:`~matplotlib.text.TextWithDash`, and
:class:`~matplotlib.text.Annotate` classes
:mod:`matplotlib.image`
defines the :class:`~matplotlib.image.AxesImage` and
:class:`~matplotlib.image.FigureImage` classes
:mod:`matplotlib.collections`
classes for efficient drawing of groups of lines or polygons
:mod:`matplotlib.colors`
classes for interpreting color specifications and for making
colormaps
:mod:`matplotlib.cm`
colormaps and the :class:`~matplotlib.image.ScalarMappable`
mixin class for providing color mapping functionality to other
classes
:mod:`matplotlib.ticker`
classes for calculating tick mark locations and for formatting
tick labels
:mod:`matplotlib.backends`
a subpackage with modules for various gui libraries and output
formats
The base matplotlib namespace includes:
:data:`~matplotlib.rcParams`
a global dictionary of default configuration settings. It is
initialized by code which may be overridded by a matplotlibrc
file.
:func:`~matplotlib.rc`
a function for setting groups of rcParams values
:func:`~matplotlib.use`
a function for setting the matplotlib backend. If used, this
function must be called immediately after importing matplotlib
for the first time. In particular, it must be called
**before** importing pylab (if pylab is imported).
matplotlib was initially written by John D. Hunter (1968-2012) and is now
developed and maintained by a host of others.
Occasionally the internal documentation (python docstrings) will refer
to MATLAB®, a registered trademark of The MathWorks, Inc.
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A class to handle reporting. Set the fileo attribute to any file
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return a callable function that wraps func and reports it
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if always is True, the report will occur on every function
call; otherwise only on the first time the function is called
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:see: http://mail.python.org/pipermail/python-list/2005-February/263921.html
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Return the string representing the configuration directory.
Default is HOME/.matplotlib. You can override this with the
MPLCONFIGDIR environment variable. If the default is not
writable, and MPLCONFIGDIR is not set, then
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Return the path to the rc file
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Set the current rc params. Group is the grouping for the rc, eg.
for ``lines.linewidth`` the group is ``lines``, for
``axes.facecolor``, the group is ``axes``, and so on. Group may
also be a list or tuple of group names, eg. (*xtick*, *ytick*).
*kwargs* is a dictionary attribute name/value pairs, eg::
rc('lines', linewidth=2, color='r')
sets the current rc params and is equivalent to::
rcParams['lines.linewidth'] = 2
rcParams['lines.color'] = 'r'
The following aliases are available to save typing for interactive
users:
===== =================
Alias Property
===== =================
'lw' 'linewidth'
'ls' 'linestyle'
'c' 'color'
'fc' 'facecolor'
'ec' 'edgecolor'
'mew' 'markeredgewidth'
'aa' 'antialiased'
===== =================
Thus you could abbreviate the above rc command as::
rc('lines', lw=2, c='r')
Note you can use python's kwargs dictionary facility to store
dictionaries of default parameters. Eg, you can customize the
font rc as follows::
font = {'family' : 'monospace',
'weight' : 'bold',
'size' : 'larger'}
rc('font', **font) # pass in the font dict as kwargs
This enables you to easily switch between several configurations.
Use :func:`~matplotlib.pyplot.rcdefaults` to restore the default
rc params after changes.
t linewidtht lwt linestylet lst colort ct facecolort fct edgecolort ect markeredgewidtht mewt antialiasedt aas %s.%ss2 Unrecognized key "%s" for group "%s" and name "%s"N( R R� R� t rcParamsR� ( Rd R> t aliasest gR� RX t nameR� ( ( s9 /usr/lib64/python2.7/site-packages/matplotlib/__init__.pyt rcF s& 2
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Restore the default rc params. These are not the params loaded by
the rc file, but mpl's internal params. See rc_file_defaults for
reloading the default params from the rc file
N( R� t updatet rcParamsDefault( ( ( s9 /usr/lib64/python2.7/site-packages/matplotlib/__init__.pyt
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Update rc params from file.
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rc_contextc B s/ e Z d Z d d d � Z d � Z d � Z RS( s�
Return a context manager for managing rc settings.
This allows one to do::
>>> with mpl.rc_context(fname='screen.rc'):
>>> plt.plot(x, a)
>>> with mpl.rc_context(fname='print.rc'):
>>> plt.plot(x, b)
>>> plt.plot(x, c)
The 'a' vs 'x' and 'c' vs 'x' plots would have settings from
'screen.rc', while the 'b' vs 'x' plot would have settings from
'print.rc'.
A dictionary can also be passed to the context manager::
>>> with mpl.rc_context(rc={'text.usetex': True}, fname='screen.rc'):
>>> plt.plot(x, a)
The 'rc' dictionary takes precedence over the settings loaded from
'fname'. Passing a dictionary only is also valid.
c C s | | _ | | _ d S( N( t rcdictR5 ( R) R R5 ( ( s9 /usr/lib64/python2.7/site-packages/matplotlib/__init__.pyR* � s c C sH t j � | _ | j r( t | j � n | j rD t j | j � n d S( N( R� t copyt _rcparamsR5 R R R ( R) ( ( s9 /usr/lib64/python2.7/site-packages/matplotlib/__init__.pyt __enter__� s
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Restore the default rc params from the original matplotlib rc that
was loaded
N( R� R t rcParamsOrig( ( ( s9 /usr/lib64/python2.7/site-packages/matplotlib/__init__.pyt rc_file_defaults� s s� This call to matplotlib.use() has no effect
because the the backend has already been chosen;
matplotlib.use() must be called *before* pylab, matplotlib.pyplot,
or matplotlib.backends is imported for the first time.
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Set the matplotlib backend to one of the known backends.
The argument is case-insensitive. *warn* specifies whether a
warning should be issued if a backend has already been set up.
*force* is an **experimental** flag that tells matplotlib to
attempt to initialize a new backend by reloading the backend
module.
.. note::
This function must be called *before* importing pyplot for
the first time; or, if you are not using pyplot, it must be called
before importing matplotlib.backends. If warn is True, a warning
is issued if you try and call this after pylab or pyplot have been
loaded. In certain black magic use cases, e.g.
:func:`pyplot.switch_backend`, we are doing the reloading necessary to
make the backend switch work (in some cases, e.g. pure image
backends) so one can set warn=False to suppress the warnings.
To find out which backend is currently set, see
:func:`matplotlib.get_backend`.
s matplotlib.backendsNs module://t backend( R& t modulesR. R/ t _use_error_msgR R RN t lowerR R� R ( RM R/ t forcet need_reloadR� ( ( s9 /usr/lib64/python2.7/site-packages/matplotlib/__init__.pyt use� s
c C s t d S( s Returns the current backend.R ( R� ( ( ( s9 /usr/lib64/python2.7/site-packages/matplotlib/__init__.pyt get_backend s c C s | t d <d S( sx
Set interactive mode to boolean b.
If b is True, then draw after every plotting command, eg, after xlabel
t interactiveN( R� ( R ( ( s9 /usr/lib64/python2.7/site-packages/matplotlib/__init__.pyR s c C s t d } | S( s' Return true if plot mode is interactiveR ( R� ( R ( ( s9 /usr/lib64/python2.7/site-packages/matplotlib/__init__.pyt is_interactive s
c C s t d d k r t St d S( s� Return true if focus maintenance under TkAgg on win32 is on.
This currently works only for python.exe and IPython.exe.
Both IDLE and Pythonwin.exe fail badly when tk_window_focus is on.R t TkAggs tk.window_focus( R� R ( ( ( s9 /usr/lib64/python2.7/site-packages/matplotlib/__init__.pyt tk_window_focus s i s -ds matplotlib.tests.test_aggs matplotlib.tests.test_artists matplotlib.tests.test_axess! matplotlib.tests.test_backend_svgs! matplotlib.tests.test_backend_pgfs matplotlib.tests.test_basics matplotlib.tests.test_cbooks matplotlib.tests.test_colorbars matplotlib.tests.test_colorss matplotlib.tests.test_datess matplotlib.tests.test_delaunays matplotlib.tests.test_figures matplotlib.tests.test_images matplotlib.tests.test_legends matplotlib.tests.test_mathtexts matplotlib.tests.test_mlabs matplotlib.tests.test_patchess matplotlib.tests.test_pickles matplotlib.tests.test_rcparamss matplotlib.tests.test_scales$ matplotlib.tests.test_simplifications matplotlib.tests.test_spiness matplotlib.tests.test_subplotss matplotlib.tests.test_texts matplotlib.tests.test_tickers! matplotlib.tests.test_tightlayouts# matplotlib.tests.test_triangulations matplotlib.tests.test_transformss# matplotlib.tests.test_arrow_patchesc
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