/usr/lib64/python2.6/site-packages/matplotlib
Edit: /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyo (80279B)
Jc 1 @ s d d k Z d d k Z d d k l Z l Z d d k l Z l Z l Z l Z d d k l
Z
l Z d d k l
Z
d d k l Z d d k l Z d d k l Z l Z l Z d d k l Z d d
k l Z l Z l Z d d k l Z d d k l Z d d
k! l" Z" d d k l# Z# d d k$ l% Z% l& Z& d d k l' Z' d d k( l) Z) l* Z* d d k+ Z, d d k- l. Z. l/ Z/ d d k0 l1 Z1 d d k2 l3 Z3 l4 Z4 d d k5 l6 Z6 l7 Z7 l8 Z8 l9 Z9 d d k: l; Z; l< Z< l= Z= l> Z> d d k? l@ Z@ lA ZA lB ZB lC ZC lD ZD lE ZE lF ZF lG ZG lH ZH lI ZI lJ ZJ lK ZK lL ZL lM ZM lN ZN lO ZO lP ZP lQ ZQ lR ZR d ZS eS d d kT lU ZU eU \ aV aW aX d d d ZZ e iZ i[ eZ _[ d Z\ d Z] d Z^ d Z_ d Z` e i` i[ d j o e e i` i[ e` _[ n d Za e ia i[ d j o e e ia i[ ea _[ n d! Zb d eb _c d" Zd d# Z e i[ d j o e i[ e _[ n d d d d d ee e
d$ Zf d% Zg e ih ii Zj d& Zk d' Zl d( Zm e
in i[ d j o e e
in i[ em _[ n d) Zo e
ip i[ d j o e e
ip i[ eo _[ n d* Zq d+ Zr d, Zs d- Zt e
it i[ d j o e e
it i[ et _[ n d. Zu e
iu i[ d j o e e
iu i[ eu _[ n d/ Zv e
iv i[ d j o e e
iv i[ ev _[ n d0 Zw e
ix i[ d j o e e
ix i[ ew _[ n d1 Zy e
iy i[ d j o e e
iy i[ ey _[ n d2 Zz e
iz i[ d j o e e
iz i[ d3 ez _[ n d4 Z{ d d5 Z| d6 Z} d7 Z~ d8 Z d9 Z d: Z d; Z d d< Z d d= Z d> Z d d? Z d d@ Z dA Z dB Z dC Z dD Z dE Z dF Z dG Z e e i[ h dH i g Z e& D] Z e e e qv[ dI 6e% dJ 6e _[ dK Z e e i[ h dH i g Z e& D] Z e e e q[ dI 6e% dJ 6e _[ dL Z dM Z dN Z dO Z dP Z dQ Z dR Z dS Z dT Z dU Z d d k Z d d d dV Z e i i e _[ d d dW Z dX Z dY Z e i[ d j o e e i[ e _[ n dZ Z e i[ d j o e e i[ e _[ n d d[ Z d\ Z d d d^ d] d_ d` d ee ee da Z db Z d dc Z e i i[ d j o e e i i[ e e _[ n d dd Z e i i[ d j o e e i i[ e e _[ n d] d] de d df Z e i i[ d j o e e i i[ e e _[ n d] de d dg Z e i i[ d j o e e i i[ e e _[ n d] d] de d dh Z e i i[ d j o e e i i[ e e _[ n d] de d di Z e i i[ d j o e e i i[ e e _[ n dj d d d d d d d dk dl dm e d dn
Z e i i[ d j o e e i i[ e e _[ n dj d d do Z e i i[ d j o e e i i[ e e _[ n d dp Z e i i[ d j o e e i i[ e e _[ n d] dq de dr d d d ds Z e i i[ d j o e e i i[ e e _[ n dt du d] e# i e# i d] d dv d d dw
Z e i i[ d j o e e i i[ e e _[ n dx Z e i i[ d j o e e i i[ e e _[ n dy Z e i i[ d j o e e i i[ e e _[ n dz Z e i i[ d j o e e i i[ e e _[ n dt du d] e# i e# i d] d dv d d d{
Z e i i[ d j o e e i i[ e e _[ n d d d| d d dk e e e e e d d} Z e i i[ d j o e e i i[ e e _[ n d~ Z e i i[ d j o e e i i[ e e _[ n d] d d d Z e i i[ d j o e e i i[ e e _[ n d] d d d Z e i i[ d j o e e i i[ e e _[ n d d d d d d d d d d d d d e, i d e d d Z e i i[ d j o e e i i[ e e _[ n d d e d e d d d dm d e d d Z e i i[ d j o e e i i[ e e _[ n d d d d d Z e i i[ d j o e e i i[ e e _[ n d d d d d d d d d d de d d d d d d Z e i i[ d j o e e i i[ e e _[ n d Z e i i[ d j o e e i i[ e e _[ n d Z e i i[ d j o e e i i[ e e _[ n d Z e i i[ d j o e e i i[ e e _[ n d d d d d e d d d Z e i i[ d j o e e i i[ e e _[ n d Z e i i[ d j o e e i i[ e e _[ n d d ee e d d Z e i i[ d j o e e i i[ e e _[ n dt du d] e# i e# i d] d dv d d d
Z e i i[ d j o e e i i[ e e _[ n d Z e i i[ d j o e e i i[ e e _[ n d Z e i i[ d j o e e i i[ e e _[ n d d d d d d d d d ee d d d Z e i i[ d j o e e i i[ e e _[ n d Z e i i[ d j o e e i i[ e e _[ n d Z e i i[ d j o e e i i[ e e _[ n dt du d] e# i e# i d d d d dv d d d Z e i i[ d j o e e i i[ e e _[ n d] d d d d d Z e i i[ d j o e e i i[ e e _[ n d d d d d Z e i i[ d j o e e i i[ e e _[ n d Z e i i[ d j o e e i i[ e e _[ n d d d d d Z e i i[ d j o e e i i[ e e _[ n ee e# i ee d d d Z e i i[ d j o e e i i[ e e _[ n d Z e i i[ d j o e e i i[ e e _[ n d Z e i i[ d j o e e i i[ e _[ n d d Z e i i[ d j o e e i i[ e _[ n d Z e i i[ d j o e e i i[ e _[ n d Z e i i[ d j o e e i i[ e _[ n d e d Zx e ix i[ d j o e e ix i[ ex _[ n d Z e i i[ d j o e e i i[ e _[ n d Z d Z d Z d Z d Z d Z d Z d Z d Z d Z d Z d Z d Z d Z d Z d S( iN( t _pylab_helperst interactive( t dedentt silent_listt is_string_liket
is_numlike( t Figuret figaspect( t FigureCanvasBase( t imread( t imsave( t rcParamst rcParamsDefaultt get_backend( t interactive_bk( t getpt gett Artist( t setp( t Axes( t PolarAxes( t mlab( t get_scale_docst get_scale_names( t cm( t get_cmapt
register_cmap( t Normalizet normalize( t Line2D( t Textt
Annotation( t Polygont Rectanglet Circlet Arrow( t SubplotToolt Buttont Slidert Widget( t
TickHelpert Formattert FixedFormattert
NullFormattert
FuncFormattert FormatStrFormattert ScalarFormattert LogFormattert LogFormatterExponentt LogFormatterMathtextt Locatort IndexLocatort FixedLocatort NullLocatort
LinearLocatort
LogLocatort AutoLocatort MultipleLocatort MaxNLocatorc C s t d } t d p
| t j o d St d i d } d t i j oC | d j o6 d d k } | i i o d d | t d
t Appt IsMainLoopRunningRA t qAppt
startingUpt PyQt4.QtGuit QtGuit gobjectt MainLoopt
is_running( R; t is_agg_backendR> RA t PyQt4RV ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt _backend_selection( s0
( t pylab_setupc C s' | d j o
t } n | i | S( N( t Nonet gcft findobj( t ot match( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR_ R s
c C sP t d t i | d t t t i d d k l } | \ a a a
d S( s
Switch the default backend to newbackend. This feature is
**experimental**, and is only expected to work switching to an
image backend. Eg, if you have a bunch of PostScript scripts that
you want to run from an interactive ipython session, you may want
to switch to the PS backend before running them to avoid having a
bunch of GUI windows popup. If you try to interactively switch
from one GUI backend to another, you will explode.
Calling this command will close all open windows.
t allt warni( R\ N( t closet
matplotlibt uset Falset reloadt backendst matplotlib.backendsR\ t new_figure_managert draw_if_interactivet show( t
newbackendR\ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt switch_backendX s
c C s
t i S( s'
Return the interactive status
( Re t is_interactive( ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt
isinteractivel s c C s t i t d S( s Turn interactive mode off.N( Re R Rg ( ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt ioffr s c C s t i t d S( s Turn interactive mode on.N( Re R t True( ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt ionv s c O s t i | | d S( N( Re t rc( t argst kwargs( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRu z s c C s t i t d S( N( Re t
rcdefaultsRl ( ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRx s
c C s t i S( s
Get the current :class:`~matplotlib.cm.ScalarMappable` instance
(image or patch collection), or *None* if no images or patch
collections have been defined. The commands
:func:`~matplotlib.pyplot.imshow` and
:func:`~matplotlib.pyplot.figimage` create
:class:`~matplotlib.image.Image` instances, and the commands
:func:`~matplotlib.pyplot.pcolor` and
:func:`~matplotlib.pyplot.scatter` create
:class:`~matplotlib.collections.Collection` instances.
( t gcit _current( ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRy s c C s
| t _ d S( s
Set the current image (target of colormap commands like
:func:`~matplotlib.pyplot.jet`, :func:`~matplotlib.pyplot.hot` or
:func:`~matplotlib.pyplot.clim`).
N( Ry Rz ( t im( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt sci s c O s t | | } t | S( N( t _setpRl ( Rv Rw t ret( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s c
s | d j o t d } n | d j o t d } n | d j o t d } n | d j o t d } n | d j oR g } t i i D] } | | i q ~ }
|
o t |
d } q d } n
t | } t i i | d j o t i
d j o
d } n t | d | d | d
| d | d | d
| | f d } i i
d | } | _ t i i | i i _ n t i i S( s
call signature::
figure(num=None, figsize=(8, 6), dpi=80, facecolor='w', edgecolor='k')
Create a new figure and return a :class:`matplotlib.figure.Figure`
instance. If *num* = *None*, the figure number will be incremented and
a new figure will be created. The returned figure objects have a
*number* attribute holding this number.
If *num* is an integer, and ``figure(num)`` already exists, make it
active and return a reference to it. If ``figure(num)`` does not exist
it will be created. Numbering starts at 1, matlab style::
figure(1)
If you are creating many figures, make sure you explicitly call "close"
on the figures you are not using, because this will enable pylab
to properly clean up the memory.
Optional keyword arguments:
========= =======================================================
Keyword Description
========= =======================================================
figsize width x height in inches; defaults to rc figure.figsize
dpi resolution; defaults to rc figure.dpi
facecolor the background color; defaults to rc figure.facecolor
edgecolor the border color; defaults to rc figure.edgecolor
========= =======================================================
rcParams defines the default values, which can be modified in the
matplotlibrc file
*FigureClass* is a :class:`~matplotlib.figure.Figure` or derived
class that will be passed on to :meth:`new_figure_manager` in the
backends which allows you to hook custom Figure classes into the
pylab interface. Additional kwargs will be passed on to your
figure init function.
s figure.figsizes
figure.dpis figure.facecolors figure.edgecolori t psiH t figsizet dpit facecolort edgecolort frameont FigureClassc s t i i d S( N( R t Gcft
set_active( t event( t
figManager( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt make_active s t button_press_eventN( R] R R R t get_all_fig_managerst numt maxt intt get_fig_managerR
t lowerRk t canvast mpl_connectt _cidgcfR t figuret numberRl (
R R R R R R R Rw t _[1]t ft allnumsR t cid( ( R s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s@ 3
-
c C s2 t i i } | d j o | i i St Sd S( s) Return a reference to the current figure.N( R R t
get_activeR] R R ( R ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR^
s
c C s t i i i } | i | S( s) Return a list of existing figure numbers.( R R t figst keyst sort( t fignums( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt get_fignums s
c C s: t i i } | d j o t t i i } n | S( N( R R R R] R^ ( R ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt get_current_fig_manager s
c C s t i i | | S( N( R R R ( t st func( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt connect' s c C s t i i | S( N( R R t mpl_disconnect( R ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt
disconnect, s c G s t | d j oK t i i } | d j o d S| i i | i t i i | i n$t | d j o| d } | d j oD x t i i
D], } | i i | i t i i | i q Wqt | t o t i i | qt | t
o[ xn t i i
D]C } | i i | j o* | i i | i t i i | i qqWqt d t | n
t d d S( s
Close a figure window
``close()`` by itself closes the current figure
``close(num)`` closes figure number *num*
``close(h)`` where *h* is a :class:`Figure` instance, closes that figure
``close('all')`` closes all the figure windows
i Ni Rb s& Unrecognized argument type %s to closes close takes 0 or 1 arguments( t lenR R R R] R R R t destroyR R t
isinstanceR R R t TypeErrort type( Rv R t argt manager( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRd 1 s.
c C s t i t d S( s"
Clear the current figure
N( R^ t clfRl ( ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR W s
c C s t i i d S( s redraw the current figureN( R R t draw( ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR ^ s c O s t } | i | | S( N( R^ t savefig( Rv Rw t fig( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR b s c O s t i | | S( s
Blocking call to interact with the figure.
This will wait for *n* clicks from the user and return a list of the
coordinates of each click.
If *timeout* is negative, does not timeout.
( R^ t ginput( Rv Rw ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR h s c O s t i | | S( s
Blocking call to interact with the figure.
This will wait for *n* key or mouse clicks from the user and
return a list containing True's for keyboard clicks and False's
for mouse clicks.
If *timeout* is negative, does not timeout.
( R^ t waitforbuttonpress( Rv Rw ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR u s
c O s t i | | } t | S( N( R^ t textRl ( Rv Rw R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt figtext s c O s t i | | } t | S( N( R^ t suptitleRl ( Rv Rw R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s c O s) t i | | } t | t _ | S( N( R^ t figimageRl Ry Rz ( Rv Rw R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s sB
Addition kwargs: hold = [True|False] overrides default hold statec K s& t i | | | | } t | S( s&
Place a legend in the figure.
*labels*
a sequence of strings
*handles*
a sequence of :class:`~matplotlib.lines.Line2D` or
:class:`~matplotlib.patches.Patch` instances
*loc*
can be a string or an integer specifying the legend
location
A :class:`matplotlib.legend.Legend` instance is returned.
Example::
figlegend( (line1, line2, line3),
('label1', 'label2', 'label3'),
'upper right' )
.. seealso::
:func:`~matplotlib.pyplot.legend`
( R^ t legendRl ( t handlest labelst locRw t l( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt figlegend s c C sO t } | i } | i | | i | | i } t d d | d S( s
Set the hold state. If *b* is None (default), toggle the
hold state, else set the hold state to boolean value *b*::
hold() # toggle hold
hold(True) # hold is on
hold(False) # hold is off
When *hold* is *True*, subsequent plot commands will be added to
the current axes. When *hold* is *False*, the current axes and
figure will be cleared on the next plot command.
t axest holdN( R^ t gcaR t isholdRu ( t bR t ax( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c C s
t i S( s4
Return the hold status of the current axes
( R R ( ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s c O s. t } t t | | | t | d S( sn
over calls::
func(*args, **kwargs)
with ``hold(True)`` and then restores the hold state.
N( R R Rs ( R Rv Rw t h( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt over s
c O s t | } t | d j o t d | S| d j o t d n | d } t | t o t i | } n | } t i | | } t | S( s
Add an axes at position rect specified by:
- ``axes()`` by itself creates a default full ``subplot(111)`` window axis.
- ``axes(rect, axisbg='w')`` where *rect* = [left, bottom, width,
height] in normalized (0, 1) units. *axisbg* is the background
color for the axis, default white.
- ``axes(h)`` where *h* is an axes instance makes *h* the current
axis. An :class:`~matplotlib.axes.Axes` instance is returned.
======= ============ ================================================
kwarg Accepts Desctiption
======= ============ ================================================
axisbg color the axes background color
frameon [True|False] display the frame?
sharex otherax current axes shares xaxis attribute with otherax
sharey otherax current axes shares yaxis attribute with otherax
polar [True|False] use a polar axes?
======= ============ ================================================
Examples:
* :file:`examples/pylab_examples/axes_demo.py` places custom axes.
* :file:`examples/pylab_examples/shared_axis_demo.py` uses
*sharex* and *sharey*.
i io i s( Only one non keyword arg to axes allowed( R t subplotR R R R^ t scat add_axesRl ( Rv Rw t nargsR t at rect( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c G sA t | p
t } n | d } t i | } t | S( s
``delaxes(ax)``: remove *ax* from the current figure. If *ax*
doesn't exist, an error will be raised.
``delaxes()``: delete the current axes
i ( R R R^ t delaxesRl ( Rv R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR " s
c K s t i | } | S( sB
Return the current axis instance. This can be used to control
axis properties either using set or the
:class:`~matplotlib.axes.Axes` methods, for example, setting the
xaxis range::
plot(t,s)
set(gca(), 'xlim', [0,10])
or::
plot(t,s)
a = gca()
a.set_xlim([0,10])
( R^ R ( Rw R ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR 4 s c O s t } | i | | } | i } g } xI | i D]> } | | j o q4 n | i | i o | i | q4 q4 Wx | D] } t | q} Wt | S( s
Create a subplot command, creating axes with::
subplot(numRows, numCols, plotNum)
where *plotNum* = 1 is the first plot number and increasing *plotNums*
fill rows first. max(*plotNum*) == *numRows* * *numCols*
You can leave out the commas if *numRows* <= *numCols* <=
*plotNum* < 10, as in::
subplot(211) # 2 rows, 1 column, first (upper) plot
``subplot(111)`` is the default axis.
New subplots that overlap old will delete the old axes. If you do
not want this behavior, use
:meth:`matplotlib.figure.Figure.add_subplot` or the
:func:`~matplotlib.pyplot.axes` command. Eg.::
from pylab import *
plot([1,2,3]) # implicitly creates subplot(111)
subplot(211) # overlaps, subplot(111) is killed
plot(rand(12), rand(12))
subplot(212, axisbg='y') # creates 2nd subplot with yellow background
Keyword arguments:
*axisbg*:
The background color of the subplot, which can be any valid
color specifier. See :mod:`matplotlib.colors` for more
information.
*polar*:
A boolean flag indicating whether the subplot plot should be
a polar projection. Defaults to False.
*projection*:
A string giving the name of a custom projection to be used
for the subplot. This projection must have been previously
registered. See :func:`matplotlib.projections.register_projection`
.. seealso::
:func:`~matplotlib.pyplot.axes`
For additional information on :func:`axes` and
:func:`subplot` keyword arguments.
:file:`examples/pylab_examples/polar_scatter.py`
For an example
**Example:**
.. plot:: mpl_examples/pylab_examples/subplot_demo.py
( R^ t add_subplott bboxR t fully_overlapst appendR Rl ( Rv Rw R R R t byebyet otherR ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR K s ;
c C s1 | d j o
t } n | i } t | S( s!
Make a second axes overlay *ax* (or the current axes if *ax* is
*None*) sharing the xaxis. The ticks for *ax2* will be placed on
the right, and the *ax2* instance is returned.
.. seealso::
:file:`examples/api_examples/two_scales.py`
For an example
N( R] R t twinxRl ( R t ax1( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c C s1 | d j o
t } n | i } t | S( s
Make a second axes overlay *ax* (or the current axes if *ax* is
*None*) sharing the yaxis. The ticks for *ax2* will be placed on
the top, and the *ax2* instance is returned.
N( R] R t twinyRl ( R R ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c O s$ t } | i | | t d S( s
call signature::
subplots_adjust(left=None, bottom=None, right=None, top=None,
wspace=None, hspace=None)
Tune the subplot layout via the
:class:`matplotlib.figure.SubplotParams` mechanism. The parameter
meanings (and suggested defaults) are::
left = 0.125 # the left side of the subplots of the figure
right = 0.9 # the right side of the subplots of the figure
bottom = 0.1 # the bottom of the subplots of the figure
top = 0.9 # the top of the subplots of the figure
wspace = 0.2 # the amount of width reserved for blank space between subplots
hspace = 0.2 # the amount of height reserved for white space between subplots
The actual defaults are controlled by the rc file
N( R^ t subplots_adjustRl ( Rv Rw R ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s c C s t d } d t d <| d j o t } | i i } n< x8 t i i D] } | i i | j o PqG qG Wt d t d d
} | i d d t
| | } | t d >> axis()
returns the current axes limits ``[xmin, xmax, ymin, ymax]``.
>>> axis(v)
sets the min and max of the x and y axes, with
``v = [xmin, xmax, ymin, ymax]``.
>>> axis('off')
turns off the axis lines and labels.
>>> axis('equal')
changes limits of *x* or *y* axis so that equal increments of *x*
and *y* have the same length; a circle is circular.
>>> axis('scaled')
achieves the same result by changing the dimensions of the plot box instead
of the axis data limits.
>>> axis('tight')
changes *x* and *y* axis limits such that all data is shown. If
all data is already shown, it will move it to the center of the
figure without modifying (*xmax* - *xmin*) or (*ymax* -
*ymin*). Note this is slightly different than in matlab.
>>> axis('image')
is 'scaled' with the axis limits equal to the data limits.
>>> axis('auto')
and
>>> axis('normal')
are deprecated. They restore default behavior; axis limits are automatically
scaled to make the data fit comfortably within the plot box.
if ``len(*v)==0``, you can pass in *xmin*, *xmax*, *ymin*, *ymax*
as kwargs selectively to alter just those limits without changing
the others.
The xmin, xmax, ymin, ymax tuple is returned
.. seealso::
:func:`xlim`, :func:`ylim`
For setting the x- and y-limits individually.
( R t axisRl ( t vRw R ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR
s : c O s# t i | | | } t | S( sw
Set the *x* axis label of the current axis to *s*
Default override is::
override = {
'fontsize' : 'small',
'verticalalignment' : 'top',
'horizontalalignment' : 'center'
}
.. seealso::
:func:`~matplotlib.pyplot.text`
For information on how override and the optional args work
( R t
set_xlabelRl ( R Rv Rw R ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt xlabelI s c O s# t i | | | } t | S( s
Set the *y* axis label of the current axis to *s*.
Defaults override is::
override = {
'fontsize' : 'small',
'verticalalignment' : 'center',
'horizontalalignment' : 'right',
'rotation'='vertical' : }
.. seealso::
:func:`~matplotlib.pyplot.text`
For information on how override and the optional args
work.
( R t
set_ylabelRl ( R Rv Rw R ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt ylabel^ s c O s& t } | i | | } t | S( s
Set/Get the xlimits of the current axes::
xmin, xmax = xlim() # return the current xlim
xlim( (xmin, xmax) ) # set the xlim to xmin, xmax
xlim( xmin, xmax ) # set the xlim to xmin, xmax
If you do not specify args, you can pass the xmin and xmax as
kwargs, eg.::
xlim(xmax=3) # adjust the max leaving min unchanged
xlim(xmin=1) # adjust the min leaving max unchanged
The new axis limits are returned as a length 2 tuple.
( R t set_xlimRl ( Rv Rw R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt xlimx s c O s& t } | i | | } t | S( s
Set/Get the ylimits of the current axes::
ymin, ymax = ylim() # return the current ylim
ylim( (ymin, ymax) ) # set the ylim to ymin, ymax
ylim( ymin, ymax ) # set the ylim to ymin, ymax
If you do not specify args, you can pass the *ymin* and *ymax* as
kwargs, eg.::
ylim(ymax=3) # adjust the max leaving min unchanged
ylim(ymin=1) # adjust the min leaving max unchanged
The new axis limits are returned as a length 2 tuple.
( R t set_ylimRl ( Rv Rw R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt ylim s c O s& t } | i | | } t | S( s
call signature::
xscale(scale, **kwargs)
Set the scaling for the x-axis: %(scale)s
Different keywords may be accepted, depending on the scale:
%(scale_docs)s
( R t
set_xscaleRl ( Rv Rw R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt xscale s s | t scalet
scale_docsc O s& t } | i | | } t | S( s
call signature::
xscale(scale, **kwargs)
Set the scaling for the y-axis: %(scale)s
Different keywords may be accepted, depending on the scale:
%(scale_docs)s
( R t
set_yscaleRl ( Rv Rw R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt yscale s c O s t } t | d j o | i } | i } n t | d j o# | i | d } | i } nM t | d j o- | i | d } | i | d | } n
t d t | o" x | D] } | i | q Wn t | t d | f S( sK
Set/Get the xlimits of the current ticklocs and labels::
# return locs, labels where locs is an array of tick locations and
# labels is an array of tick labels.
locs, labels = xticks()
# set the locations of the xticks
xticks( arange(6) )
# set the locations and labels of the xticks
xticks( arange(5), ('Tom', 'Dick', 'Harry', 'Sally', 'Sue') )
The keyword args, if any, are :class:`~matplotlib.text.Text`
properties. For example, to rotate long labels::
xticks( arange(12), calendar.month_name[1:13], rotation=17 )
i i i s% Illegal number of arguments to xtickss Text xticklabel(
R R t
get_xtickst get_xticklabelst
set_xtickst set_xticklabelsR t updateRl R ( Rv Rw R t locsR R ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt xticks s"
c O s t } t | d j o | i } | i } n t | d j o# | i | d } | i } nM t | d j o- | i | d } | i | d | } n
t d t | o" x | D] } | i | q Wn t | t d | f S( sK
Set/Get the ylimits of the current ticklocs and labels::
# return locs, labels where locs is an array of tick locations and
# labels is an array of tick labels.
locs, labels = yticks()
# set the locations of the yticks
yticks( arange(6) )
# set the locations and labels of the yticks
yticks( arange(5), ('Tom', 'Dick', 'Harry', 'Sally', 'Sue') )
The keyword args, if any, are :class:`~matplotlib.text.Text`
properties. For example, to rotate long labels::
yticks( arange(12), calendar.month_name[1:13], rotation=45 )
i i i s% Illegal number of arguments to ytickss Text yticklabel(
R R t
get_ytickst get_yticklabelst
set_ytickst set_yticklabelsR R Rl R ( Rv Rw R R R R ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt yticks s$
c C s t i t d S( s
Display minor ticks on the current plot.
Displaying minor ticks reduces performance; turn them off using
minorticks_off() if drawing speed is a problem.
N( R t
minorticks_onRl ( ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c C s t i t d S( s3
Remove minor ticks from the current plot.
N( R t minorticks_offRl ( ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR & s
c O s t } t | t p t d n t | d j o" | i i } | i i } n | i | | \ } } t t
d | t
d | f S( s
Set/Get the radial locations of the gridlines and ticklabels on a
polar plot.
call signatures::
lines, labels = rgrids()
lines, labels = rgrids(radii, labels=None, angle=22.5, **kwargs)
When called with no arguments, :func:`rgrid` simply returns the
tuple (*lines*, *labels*), where *lines* is an array of radial
gridlines (:class:`~matplotlib.lines.Line2D` instances) and
*labels* is an array of tick labels
(:class:`~matplotlib.text.Text` instances). When called with
arguments, the labels will appear at the specified radial
distances and angles.
*labels*, if not *None*, is a len(*radii*) list of strings of the
labels to use at each angle.
If *labels* is None, the rformatter will be used
Examples::
# set the locations of the radial gridlines and labels
lines, labels = rgrids( (0.25, 0.5, 1.0) )
# set the locations and labels of the radial gridlines and labels
lines, labels = rgrids( (0.25, 0.5, 1.0), ('Tom', 'Dick', 'Harry' )
s" rgrids only defined for polar axesi s Line2D rgridlines Text rgridlabel( R R R R R t yaxist
get_gridlinest get_ticklabelst
set_rgridsRl R ( Rv Rw R t linesR ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt rgrids- s c O s t } t | t p t d n t | d j o" | i i } | i i } n | i | | \ } } t t
d | t
d | f S( s
Set/Get the theta locations of the gridlines and ticklabels.
If no arguments are passed, return a tuple (*lines*, *labels*)
where *lines* is an array of radial gridlines
(:class:`~matplotlib.lines.Line2D` instances) and *labels* is an
array of tick labels (:class:`~matplotlib.text.Text` instances)::
lines, labels = thetagrids()
Otherwise the syntax is::
lines, labels = thetagrids(angles, labels=None, fmt='%d', frac = 1.1)
set the angles at which to place the theta grids (these gridlines
are equal along the theta dimension).
*angles* is in degrees.
*labels*, if not *None*, is a len(angles) list of strings of the
labels to use at each angle.
If *labels* is *None*, the labels will be ``fmt%angle``.
*frac* is the fraction of the polar axes radius at which to place
the label (1 is the edge). Eg. 1.05 is outside the axes and 0.95
is inside the axes.
Return value is a list of tuples (*lines*, *labels*):
- *lines* are :class:`~matplotlib.lines.Line2D` instances
- *labels* are :class:`~matplotlib.text.Text` instances.
Note that on input, the *labels* argument is a list of strings,
and on output it is a list of :class:`~matplotlib.text.Text`
instances.
Examples::
# set the locations of the radial gridlines and labels
lines, labels = thetagrids( range(45,360,90) )
# set the locations and labels of the radial gridlines and labels
lines, labels = thetagrids( range(45,360,90), ('NE', 'NW', 'SW','SE') )
s" rgrids only defined for polar axesi s Line2D thetagridlines Text thetagridlabel( R R R R R t xaxist
get_ticklinesR t set_thetagridsRl R ( Rv Rw R R R ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt
thetagridsZ s / c C s d S( s*
Plotting commands
=============== =========================================================
Command Description
=============== =========================================================
axes Create a new axes
axis Set or return the current axis limits
bar make a bar chart
boxplot make a box and whiskers chart
cla clear current axes
clabel label a contour plot
clf clear a figure window
close close a figure window
colorbar add a colorbar to the current figure
cohere make a plot of coherence
contour make a contour plot
contourf make a filled contour plot
csd make a plot of cross spectral density
draw force a redraw of the current figure
errorbar make an errorbar graph
figlegend add a legend to the figure
figimage add an image to the figure, w/o resampling
figtext add text in figure coords
figure create or change active figure
fill make filled polygons
fill_between make filled polygons between two sets of y-values
fill_betweenx make filled polygons between two sets of x-values
gca return the current axes
gcf return the current figure
gci get the current image, or None
getp get a graphics property
hist make a histogram
hold set the hold state on current axes
legend add a legend to the axes
loglog a log log plot
imread load image file into array
imsave save array as an image file
imshow plot image data
matshow display a matrix in a new figure preserving aspect
pcolor make a pseudocolor plot
plot make a line plot
plotfile plot data from a flat file
psd make a plot of power spectral density
quiver make a direction field (arrows) plot
rc control the default params
savefig save the current figure
scatter make a scatter plot
setp set a graphics property
semilogx log x axis
semilogy log y axis
show show the figures
specgram a spectrogram plot
stem make a stem plot
subplot make a subplot (numrows, numcols, axesnum)
table add a table to the axes
text add some text at location x,y to the current axes
title add a title to the current axes
xlabel add an xlabel to the current axes
ylabel add a ylabel to the current axes
=============== =========================================================
The following commands will set the default colormap accordingly:
* autumn
* bone
* cool
* copper
* flag
* gray
* hot
* hsv
* jet
* pink
* prism
* spring
* summer
* winter
* spectral
N( ( ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt plotting s Rc 5 C s d6 S(7 NR R t bart boxplott claR Rd t colorbart coheret csdR t errorbarR R R R t fillR R^ Ry R t grayt barht jett histR R R
t imshowR t loglogt quiverRu t pcolort
pcolormesht plott psdR t scattert sett semilogxt semilogyRm t specgramt stemR t tableR R R R t piet polar(5 s axess axiss bars boxplots clas clfs closes colorbars coheres csds draws errorbars figlegends figtexts figimages figures fills gcas gcfs gcis gets grays barhs jets hists holds imreads imsaves imshows legends loglogs quivers rcs pcolors
pcolormeshs plots psds savefigs scatters sets semilogxs semilogys shows specgrams stems subplots tables texts titles xlabels ylabels pies polar( ( ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt get_plot_commands s c C s d S( sl
This is a do-nothing function to provide you with help on how
matplotlib handles colors.
Commands which take color arguments can use several formats to
specify the colors. For the basic builtin colors, you can use a
single letter
===== =======
Alias Color
===== =======
'b' blue
'g' green
'r' red
'c' cyan
'm' magenta
'y' yellow
'k' black
'w' white
===== =======
For a greater range of colors, you have two options. You can
specify the color using an html hex string, as in::
color = '#eeefff'
or you can pass an R,G,B tuple, where each of R,G,B are in the
range [0,1].
You can also use any legal html name for a color, for example::
color = 'red',
color = 'burlywood'
color = 'chartreuse'
The example below creates a subplot with a dark
slate gray background
subplot(111, axisbg=(0.1843, 0.3098, 0.3098))
Here is an example that creates a pale turqoise title::
title('Is this the best color?', color='#afeeee')
N( ( ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt colors s .c C s d S( sL
matplotlib provides the following colormaps.
* autumn
* bone
* cool
* copper
* flag
* gray
* hot
* hsv
* jet
* pink
* prism
* spring
* summer
* winter
* spectral
You can set the colormap for an image, pcolor, scatter, etc,
either as a keyword argument::
imshow(X, cmap=cm.hot)
or post-hoc using the corresponding pylab interface function::
imshow(X)
hot()
jet()
In interactive mode, this will update the colormap allowing you to
see which one works best for your data.
N( ( ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt colormaps* s "c K s` | d j o
t } n | d j o
t } n t i | d | d | | } t | S( Nt caxR ( R] Ry R R^ R Rl ( t mappableR- R t kwR~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR R s
!c C sA t } | d j o t d n | i | | t d S( so
Set the color limits of the current image
To apply clim to all axes images do::
clim(0, 0.5)
If either *vmin* or *vmax* is None, the image min/max respectively
will be used for color scaling.
If you want to set the clim of multiple images,
use, for example::
for im in gca().get_images():
im.set_clim(0, 0.05)
s. You must first define an image, eg with imshowN( Ry R] R t set_climRl ( t vmint vmaxR{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt clim] s
c C sT t i | } t d d | i t } | d j o | i | n t d S( s
set the default colormap to *cmap* and apply to current image if any.
See help(colormaps) for more information.
*cmap* must be a :class:`colors.Colormap` instance, or
the name of a registered colormap.
See :func:`register_cmap` and :func:`get_cmap`.
t imaget cmapN( R R Ru t nameRy R] t set_cmapRl ( R5 R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR7 v s
c O s
t | | S( N( t _imread( Rv Rw ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s c O s
t | | S( N( t _imsave( Rv Rw ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR
s c K s | t j p
| d j o
t } n4 t | d t | } | i d d d d g } | i | | } | t _ t | S( s
Display an array as a matrix in a new figure window.
The origin is set at the upper left hand corner and rows (first
dimension of the array) are displayed horizontally. The aspect
ratio of the figure window is that of the array, unless this would
make an excessively short or narrow figure.
Tick labels for the xaxis are placed on top.
With the exception of fignum, keyword arguments are passed to
:func:`~matplotlib.pyplot.imshow`.
*fignum*: [ None | integer | False ]
By default, :func:`matshow` creates a new figure window with
automatic numbering. If *fignum* is given as an integer, the
created figure will use this figure number. Because of how
:func:`matshow` tries to set the figure aspect ratio to be the
one of the array, if you provide the number of an already
existing figure, strange things may happen.
If *fignum* is *False* or 0, a new figure window will **NOT** be created.
i R g333333?g
ףp=
?g?( Rg R R R R t matshowRy Rz Rl ( t At fignumR/ R R R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR: s
c O sD | i d d } t d t d | } | i | | } t | S( sh
call signature::
polar(theta, r, **kwargs)
Make a polar plot. Multiple *theta*, *r* arguments are supported,
with format strings, as in :func:`~matplotlib.pyplot.plot`.
An optional kwarg *resolution* sets the number of vertices to
interpolate between each pair of points. The default is 1,
which disables interpolation.
t
resolutionR) N( t popR] R Rs R Rl ( Rv Rw R= R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR) s
i t #i t ,c
s | o
t } n
t } t | d j o t d n | d j o
t } n t i | d | d | d | d | d | f d } | | d \ }
} g } t | d j oX | i d d d } | i | d d
} t
| | } | | |
| i |
nMt | } x=t d | D],} | oQ | d j o! | i | d d | } } q| i | d d | d | } n' | d j o | i d d d } n | i
t | | | \ } } | i | | i | | d
} t
| | } | | | |
| o | i | n | i o | i |
q9| i d q9W| p | i | d
d n |
d j o | i n t d S( s
Plot the data in *fname*
*cols* is a sequence of column identifiers to plot. An identifier
is either an int or a string. If it is an int, it indicates the
column number. If it is a string, it indicates the column header.
matplotlib will make column headers lower case, replace spaces with
underscores, and remove all illegal characters; so ``'Adj Close*'``
will have name ``'adj_close'``.
- If len(*cols*) == 1, only that column will be plotted on the *y* axis.
- If len(*cols*) > 1, the first element will be an identifier for
data for the *x* axis and the remaining elements will be the
column indexes for multiple subplots if *subplots* is *True*
(the default), or for lines in a single subplot if *subplots*
is *False*.
*plotfuncs*, if not *None*, is a dictionary mapping identifier to
an :class:`~matplotlib.axes.Axes` plotting function as a string.
Default is 'plot', other choices are 'semilogy', 'fill', 'bar',
etc. You must use the same type of identifier in the *cols*
vector as you use in the *plotfuncs* dictionary, eg., integer
column numbers in both or column names in both. If *subplots*
is *False*, then including any function such as 'semilogy'
that changes the axis scaling will set the scaling for all
columns.
*comments*, *skiprows*, *checkrows*, *delimiter*, and *names*
are all passed on to :func:`matplotlib.pylab.csv2rec` to
load the data into a record array.
If *newfig* is *True*, the plot always will be made in a new figure;
if *False*, it will be made in the current figure if one exists,
else in a new figure.
kwargs are passed on to plotting functions.
Example usage::
# plot the 2nd and 4th column against the 1st in two subplots
plotfile(fname, (0,1,3))
# plot using column names; specify an alternate plot type for volume
plotfile(fname, ('date', 'volume', 'adj_close'),
plotfuncs={'volume': 'semilogy'})
Note: plotfile is intended as a convenience for quickly plotting
data from flat files; it is not intended as an alternative
interface to general plotting with pyplot or matplotlib.
i s% must have at least one column of datat commentst skiprowst checkrowst delimitert namesc s^ t | o | | f St | o% i i t | } | | f St d d S( s. return the name and column data for identifiers& identifier must be a string or integerN( R R t dtypeRE R R ( t
identifierR6 ( t r( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt getname_val s
i R t sharext R t bestt dateN( R R^ R t
ValueErrorR] t dictR t csv2recR R t getattrR t ranget gridRs R t is_last_rowR R t
autofmt_xdateRl ( t fnamet colst plotfuncsRA RB RC RD RE t subplotst newfigRw R RI t xnamet xt ynamelistR t funcnameR t Nt iR t ynamet y( ( RH s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt plotfile sV 8
!#
sE
Additional kwargs: hold = [True|False] overrides default hold statec K se t } | i } | d j o | i | n z | i | | } t Wd | i | X| S( N( R R R] R t acorrRl ( R\ R Rw R t washoldR~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRd T s
c K sn t } | i } | d j o | i | n z& | i | | | | | } t Wd | i | X| S( N( R R R] R t arrowRl ( R\ Rb t dxt dyR Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRf g s
i c K sk t } | i } | d j o | i | n z# | i | | | | } t Wd | i | X| S( N( R R R] R t axhlineRl ( Rb t xmint xmaxR Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRi z s
c K sn t } | i } | d j o | i | n z& | i | | | | | } t Wd | i | X| S( N( R R R] R t axhspanRl ( t ymint ymaxRj Rk R Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRl s
c K sk t } | i } | d j o | i | n z# | i | | | | } t Wd | i | X| S( N( R R R] R t axvlineRl ( R\ Rm Rn R Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRo s
c K sn t } | i } | d j o | i | n z& | i | | | | | } t Wd | i | X| S( N( R R R] R t axvspanRl ( Rj Rk Rm Rn R Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRp s
g?i t edget verticalc K s t } | i } | d j o | i | n zD | i | | | | | | | | | | |
| | |
| } t Wd | i | X| S( N( R R R] R R Rl ( t leftt heightt widtht bottomt colorR t linewidtht yerrt xerrt ecolort capsizet alignt orientationt logR Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
9 c K sn t } | i } | d j o | i | n z& | i | | | | | } t Wd | i | X| S( N( R R R] R R Rl ( Rv Ru Rt Rs R Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c K sh t } | i } | d j o | i | n z | i | | | } t Wd | i | X| S( N( R R R] R t broken_barhRl ( t xrangest yrangeR Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
s b+g ?c C st t } | i } | d j o | i | n z, | i | | | | | | | }
t Wd | i | X|
S( N( R R R] R R Rl ( R\ t notcht symt vertt whist positionst widthsR R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
! i i t defaultc K s t }
|
i } | d j o |
i | n z; |
i | | | | | | | | | | |
| } t Wd |
i | X| S( N( R R R] R R Rl ( R\ Rb t NFFTt Fst Fct detrendt windowt noverlapt pad_tot sidest
scale_by_freqR Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
0 c O sz t } | i } | i d d } | d j o | i | n z | i | | | } t Wd | i | X| S( NR ( R R R> R] R t clabelRl ( t CSRv Rw R Re R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR % s
c O s t } | i } | i d d } | d j o | i | n z | i | | } t Wd | i | X| i d j o
| t _ n | S( NR (
R R R> R] R t contourRl t _ARy Rz ( Rv Rw R Re R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR 8 s
c O s t } | i } | i d d } | d j o | i | n z | i | | } t Wd | i | X| i d j o
| t _ n | S( NR (
R R R> R] R t contourfRl R Ry Rz ( Rv Rw R Re R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR K s
c K s t }
|
i } | d j o |
i | n z; |
i | | | | | | | | | | |
| } t Wd |
i | X| S( N( R R R] R R Rl ( R\ Rb R R R R R R R R R R Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR ^ s
0 t -c K s t } | i } |
d j o | i |
n zA | i | | | | | | | | | | |
| | |
} t Wd | i | X| S( N( R R R] R R Rl ( R\ Rb Ry Rz t fmtR{ t
elinewidthR| t barsabovet lolimst uplimst xlolimst xuplimsR Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR q s
6 c O sw t } | i } | i d d } | d j o | i | n z | i | | } t Wd | i | X| S( NR ( R R R> R] R R Rl ( Rv Rw R Re R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c K sn t } | i } | d j o | i | n z& | i | | | | | } t Wd | i | X| S( N( R R R] R t fill_betweenRl ( R\ t y1t y2t whereR Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c K sn t } | i } | d j o | i | n z& | i | | | | | } t Wd | i | X| S( N( R R R] R t
fill_betweenxRl ( Rb t x1t x2R R Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
id t linearg ?t nonec K s t } | i } | d j o | i | n zP | i | | | | | | | | | | |
| | |
| | | | | } t Wd | i | X| t _ | S( N( R R R] R t hexbinRl Ry Rz ( R\ Rb t Ct gridsizet binsR R t extentR5 t normR1 R2 t alphat
linewidthst
edgecolorst reduce_C_functiont mincntt marginalsR Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
E i
R t midc
K s t } | i } | d j o | i | n z> | i | | | | | | | | | | |
| |
} t Wd | i | X| S( N( R R R] R R Rl ( R\ R RR t normedt weightst
cumulativeRv t histtypeR} R~ t rwidthR R Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
3 t kt solidRK c K st t } | i } | d j o | i | n z, | i | | | | | | | }
t Wd | i | X|
S( N( R R R] R t hlinesRl ( Rb Rj Rk R+ t
linestylest labelR Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
! g @c K s t } | i } | d j o | i | n zJ | i | | | | | | | | | | |
| | |
| | | } t Wd | i | X| t _ | S( N( R R R] R R Rl Ry Rz ( t XR5 R t aspectt
interpolationR R1 R2 t originR t shapet
filternormt filterradt imlimt resamplet urlR Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
? c O sw t } | i } | i d d } | d j o | i | n z | i | | } t Wd | i | X| S( NR ( R R R> R] R R Rl ( Rv Rw R Re R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c O s t } | i } | i d d } | d j o | i | n z | i | | } t Wd | i | X| t _ | S( NR ( R R R> R] R R Rl Ry Rz ( Rv Rw R Re R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c O s t } | i } | i d d } | d j o | i | n z | i | | } t Wd | i | X| t _ | S( NR ( R R R> R] R R Rl Ry Rz ( Rv Rw R Re R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR / s
g333333?g?c C sw t } | i }
| d j o | i | n z/ | i | | | | | | | | } t Wd | i |
X| S( N( R R R] R R( Rl ( R\ t explodeR R+ t autopctt pctdistancet shadowt
labeldistanceR R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR( B s
$ c O sw t } | i } | i d d } | d j o | i | n z | i | | } t Wd | i | X| S( NR ( R R R> R] R R Rl ( Rv Rw R Re R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR U s
t boc K st t } | i } | d j o | i | n z, | i | | | | | | | }
t Wd | i | X|
S( N( R R R] R t plot_dateRl ( R\ Rb R t tzt xdatet ydateR Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR h s
! c K s t } | i }
|
d j o | i |
n z8 | i | | | | | | | | | | |
} t Wd | i |
X| S( N( R R R] R R Rl ( R\ R R R R R R R R R R Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR { s
- c O s t } | i } | i d d } | d j o | i | n z | i | | } t Wd | i | X| t _ | S( NR ( R R R> R] R R Rl Ry Rz ( Rv R/ R Re R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c O sw t } | i } | i d d } | d j o | i | n z | i | | } t Wd | i | X| S( NR ( R R R> R] R t quiverkeyRl ( Rv R/ R Re R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
i R R` c K s t } | i } |
d j o | i |
n zA | i | | | | | | | | | | |
| | |
} t Wd | i | X| t _ | S( N( R R R] R R! Rl Ry Rz ( R\ Rb R t ct markerR5 R R1 R2 R R t facetedt vertsR Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR! s
6 c O sw t } | i } | i d d } | d j o | i | n z | i | | } t Wd | i | X| S( NR ( R R R> R] R R# Rl ( Rv Rw R Re R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR# s
c O sw t } | i } | i d d } | d j o | i | n z | i | | } t Wd | i | X| S( NR ( R R R> R] R R$ Rl ( Rv Rw R Re R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR$ s
i c
K s t } | i } | d j o | i | n z> | i | | | | | | | | | | |
| |
} t Wd | i | X| d t _ | S( Ni( R R R] R R% Rl Ry Rz ( R\ R R R R R R R5 t xextentR R R R Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR% s
3
t equalc
K sz t } | i } | d j o | i | n z) | i | | | | | | } t Wd | i | X| t _ | S( N( R R R] R t spyRl Ry Rz (
t Zt precisionR t
markersizeR R Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
s b-s r-c C sn t } | i } | d j o | i | n z& | i | | | | | } t Wd | i | X| S( N( R R R] R R& Rl ( R\ Rb t linefmtt markerfmtt basefmtR R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR& s
c O s} t } | i } | i d d } | d j o | i | n z# | i | | | | } t Wd | i | X| S( NR ( R R R> R] R t stepRl ( R\ Rb Rv Rw R Re R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR & s
c K st t } | i } | d j o | i | n z, | i | | | | | | | }
t Wd | i | X|
S( N( R R R] R t vlinesRl ( R\ Rm Rn R+ R R R Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR 9 s
! c K st t } | i } | d j o | i | n z, | i | | | | | | | }
t Wd | i | X|
S( N( R R R] R t xcorrRl ( R\ Rb R R t usevlinest maxlagsR Rw R Re R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR L s
! c O sw t } | i } | i d d } | d j o | i | n z | i | | } t Wd | i | X| S( NR ( R R R> R] R t barbsRl ( Rv R/ R Re R R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR _ s
c C s t i } t | S( N( R R Rl ( R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR r s c K s t i | | } t | S( N( R RS Rl ( R Rw R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRS { s c O s t i | | } t | S( N( R R Rl ( Rv Rw R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s c K s t i | } t | S( N( R R' Rl ( Rw R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR' s c K s, t i | | | | | | } t | S( N( R R Rl ( R\ Rb R t fontdictt withdashRw R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s !c O s t i | | } t | S( N( R t annotateRl ( Rv Rw R~ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s c C sE t d d d t } | d j o | i t i n t d S( s|
set the default colormap to autumn and apply to current image if any.
See help(colormaps) for more information
R4 R5 t autumnN( Ru Ry R] R7 R R Rl ( R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c C sE t d d d t } | d j o | i t i n t d S( sz
set the default colormap to bone and apply to current image if any.
See help(colormaps) for more information
R4 R5 t boneN( Ru Ry R] R7 R R Rl ( R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c C sE t d d d t } | d j o | i t i n t d S( sz
set the default colormap to cool and apply to current image if any.
See help(colormaps) for more information
R4 R5 t coolN( Ru Ry R] R7 R R Rl ( R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c C sE t d d d t } | d j o | i t i n t d S( s|
set the default colormap to copper and apply to current image if any.
See help(colormaps) for more information
R4 R5 t copperN( Ru Ry R] R7 R R Rl ( R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c C sE t d d d t } | d j o | i t i n t d S( sz
set the default colormap to flag and apply to current image if any.
See help(colormaps) for more information
R4 R5 t flagN( Ru Ry R] R7 R R Rl ( R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c C sE t d d d t } | d j o | i t i n t d S( sz
set the default colormap to gray and apply to current image if any.
See help(colormaps) for more information
R4 R5 R N( Ru Ry R] R7 R R Rl ( R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s
c C sE t d d d t } | d j o | i t i n t d S( sy
set the default colormap to hot and apply to current image if any.
See help(colormaps) for more information
R4 R5 t hotN( Ru Ry R] R7 R R Rl ( R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR
s
c C sE t d d d t } | d j o | i t i n t d S( sy
set the default colormap to hsv and apply to current image if any.
See help(colormaps) for more information
R4 R5 t hsvN( Ru Ry R] R7 R R Rl ( R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR
s
c C sE t d d d t } | d j o | i t i n t d S( sy
set the default colormap to jet and apply to current image if any.
See help(colormaps) for more information
R4 R5 R N( Ru Ry R] R7 R R Rl ( R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR
s
c C sE t d d d t } | d j o | i t i n t d S( sz
set the default colormap to pink and apply to current image if any.
See help(colormaps) for more information
R4 R5 t pinkN( Ru Ry R] R7 R R Rl ( R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR /
s
c C sE t d d d t } | d j o | i t i n t d S( s{
set the default colormap to prism and apply to current image if any.
See help(colormaps) for more information
R4 R5 t prismN( Ru Ry R] R7 R R Rl ( R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR >
s
c C sE t d d d t } | d j o | i t i n t d S( s|
set the default colormap to spring and apply to current image if any.
See help(colormaps) for more information
R4 R5 t springN( Ru Ry R] R7 R R Rl ( R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR M
s
c C sE t d d d t } | d j o | i t i n t d S( s|
set the default colormap to summer and apply to current image if any.
See help(colormaps) for more information
R4 R5 t summerN( Ru Ry R] R7 R R Rl ( R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR \
s
c C sE t d d d t } | d j o | i t i n t d S( s|
set the default colormap to winter and apply to current image if any.
See help(colormaps) for more information
R4 R5 t winterN( Ru Ry R] R7 R R Rl ( R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR k
s
c C sE t d d d t } | d j o | i t i n t d S( s~
set the default colormap to spectral and apply to current image if any.
See help(colormaps) for more information
R4 R5 t spectralN( Ru Ry R] R7 R R Rl ( R{ ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR z
s
( i ( RN Re R R t matplotlib.cbookR R R R t matplotlib.figureR R t matplotlib.backend_basesR t matplotlib.imageR R8 R
R9 R R R
t matplotlib.rcsetupR RL t matplotlib.artistR R R R R} t matplotlib.axesR t matplotlib.projectionsR R t matplotlib.scaleR R R t
matplotlib.cmR R t numpyt npt matplotlib.colorsR R t matplotlib.linesR t matplotlib.textR R t matplotlib.patchesR R! R" R# t matplotlib.widgetsR$ R% R& R' t tickerR( R) R* R+ R, R- R. R/ R0 R1 R2 R3 R4 R5 R6 R7 R8 R9 R: R[ Rj R\ Rk Rl Rm R] R_ t __doc__Ro Rq Rr Rt Ru Rx Ry Rz R| Rs R R^ R t
has_fignumt
fignum_existsR R R R R R Rd R R R R R R R R R R R R R R R R R R R R R R R R R R R R R t joinR t _xt reprR t _[2]R R R R R R R
R* R+ R, t matplotlib.colorbarR t colorbar_docR3 R7 R: R) Rc t __docstring_addendumRd Rf Ri Rl Ro Rp Rg R R R R t detrend_nonet window_hanningR R R R R R R R R t meanR R R R R R R R( R R R R R R! R# R$ R% R R& R R R R R RS R R' R R R R R R R R R R R R R R R R ( ( ( s7 /usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt sT " ""| !
U &
$ - I ? 4 4 & )
- @ U 2 ' & ~ 0 - - - ? - 9 ! - - 3