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This is an object-orient 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 (jdh2358 at
gmail.com) 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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print message s to self.fileo if self.level>=level. Return
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return a callable function that wraps func and reports it
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is higher than level
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 dir.
default is HOME/.matplotlib. you can override this with the
MPLCONFIGDIR environment variable
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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.
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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
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rcdefaultsM s c C s t j t � d S( s[
Restore the default rc params from the original matplotlib rc that
was loaded
N( R� R� t rcParamsOrig( ( ( sF /opt/alt/python27/lib64/python2.7/site-packages/matplotlib/__init__.pyt rc_file_defaultsU 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. For the Cairo backend,
the argument can have an extension to indicate the type of
output. Example:
use('cairo.pdf')
will specify a default of pdf output generated by Cairo.
Note: this function must be called *before* importing pylab for
the first time; or, if you are not using pylab, it must be called
before importing matplotlib.backends. If warn is True, a warning
is issued if you try and callthis after pylab or pyplot have been
loaded. In certain black magic use cases, eg
pyplot.switch_backends, we are doing the reloading necessary to
make the backend switch work (in some cases, eg pure image
backends) so one can set warn=False to supporess the warnings
s matplotlib.backendsNs module://R i i t cairos cairo.formats& Only cairo backend has a format optiont backend(
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Set interactive mode to boolean b.
If b is True, then draw after every plotting command, eg, after xlabel
t interactiveN( R� ( Rm ( ( sF /opt/alt/python27/lib64/python2.7/site-packages/matplotlib/__init__.pyR� � s c C s t d } | S( s' Return true if plot mode is interactiveR� ( R� ( Rm ( ( sF /opt/alt/python27/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 ( ( ( sF /opt/alt/python27/lib64/python2.7/site-packages/matplotlib/__init__.pyt tk_window_focus� s s -ds matplotlib.tests.test_aggs! matplotlib.tests.test_backend_svgs matplotlib.tests.test_basics matplotlib.tests.test_cbooks matplotlib.tests.test_mlabs matplotlib.tests.test_transformss matplotlib.tests.test_axess matplotlib.tests.test_datess matplotlib.tests.test_spiness matplotlib.tests.test_images$ matplotlib.tests.test_simplifications matplotlib.tests.test_mathtexti c C s� d d l } d d l } d d l m } d d l m } g } | j | � � | j g | j j j D] } | � ^ qd � | d | � } | j
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