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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. talltwarni(R\N( tcloset matplotlibtusetFalsetreloadtbackendstmatplotlib.backendsR\tnew_figure_managertdraw_if_interactivetshow(t newbackendR\((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytswitch_backendXs  cCs tiS(s' Return the interactive status (Retis_interactive(((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt isinteractivelscCstitdS(sTurn interactive mode off.N(ReRRg(((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytioffrscCstitdS(sTurn interactive mode on.N(ReRtTrue(((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytionvscOsti||dS(N(Retrc(targstkwargs((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRuzscCstitdS(N(Ret rcdefaultsRl(((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRxs cCstiS(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. (tgcit_current(((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRys cCs |t_dS(s Set the current image (target of colormap commands like :func:`~matplotlib.pyplot.jet`, :func:`~matplotlib.pyplot.hot` or :func:`~matplotlib.pyplot.clim`). N(RyRz(tim((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytsciscOst||}t|S(N(t_setpRl(RvRwtret((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRsc  s|djotd}n|djotd}n|djotd}n|djotd}n|djoRg}tiiD]} || iq~} | ot| d}qd}n t|}tii|djot i djo d}nt |d|d |d |d |d |d ||fd} i i d| } | _tii|i i_nti iS(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. sfigure.figsizes figure.dpisfigure.facecolorsfigure.edgecoloritpsiHtfigsizetdpit facecolort edgecolortframeont FigureClasscstiidS(N(RtGcft set_active(tevent(t figManager(s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt make_activestbutton_press_eventN(R]R RRtget_all_fig_managerstnumtmaxtinttget_fig_managerR tlowerRktcanvast mpl_connectt_cidgcfRtfiguretnumberRl( RRRRRRRRwt_[1]tftallnumsRtcid((Rs7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs@3     -      cCs2tii}|dj o |iiStSdS(s)Return a reference to the current figure.N(RRt get_activeR]RR(R((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR^ s  cCs tiii}|i|S(s)Return a list of existing figure numbers.(RRtfigstkeystsort(tfignums((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt get_fignumss cCs:tii}|djottii}n|S(N(RRRR]R^(R((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytget_current_fig_managers  cCstii||S(N(RRR(tstfunc((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytconnect'scCstii|S(N(RRtmpl_disconnect(R((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt disconnect,scGst|djoKtii}|djodS|ii|itii|i n$t|djo|d}|djoDxtii D],}|ii|itii|i qWqt |t otii|qt |t o[xntii D]C}|ii|jo*|ii|itii|i qqWqtdt|n tddS(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 iNiRbs&Unrecognized argument type %s to closesclose takes 0 or 1 arguments(tlenRRRR]RRRtdestroyRRt isinstanceRRRt TypeErrorttype(RvRtargtmanager((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRd1s.    cCstitdS(s" Clear the current figure N(R^tclfRl(((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRWs cCstiidS(sredraw the current figureN(RRtdraw(((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR^scOst}|i||S(N(R^tsavefig(RvRwtfig((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRbs cOsti||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^tginput(RvRw((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRhs cOsti||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^twaitforbuttonpress(RvRw((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRus cOs ti||}t|S(N(R^ttextRl(RvRwR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytfigtextscOs ti||}t|S(N(R^tsuptitleRl(RvRwR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRscOs)ti||}t|t_|S(N(R^tfigimageRlRyRz(RvRwR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs sB Addition kwargs: hold = [True|False] overrides default hold statecKs&ti||||}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^tlegendRl(thandlestlabelstlocRwtl((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt figlegendscCsOt}|i}|i||i||i}tdd|dS(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. taxestholdN(R^tgcaRtisholdRu(tbRtax((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs      cCs tiS(s4 Return the hold status of the current axes (RR(((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRscOs.t}tt|||t|dS(sn over calls:: func(*args, **kwargs) with ``hold(True)`` and then restores the hold state. N(RRRs(RRvRwth((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytovers   cOst|}t|djotd|S|djotdn|d}t|toti|}n|}ti||}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*. iiois(Only one non keyword arg to axes allowed( RtsubplotRRRR^tscatadd_axesRl(RvRwtnargsRtatrect((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs   cGsAt|p t}n |d}ti|}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(RRR^tdelaxesRl(RvRR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR"s    cKsti|}|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(RwR((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR4scOst}|i||}|i}g}xI|iD]>}||joq4n|i|io|i|q4q4Wx|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_subplottbboxRtfully_overlapstappendRRl(RvRwRRRtbyebyetotherR((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRKs;    cCs1|djo 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]RttwinxRl(Rtax1((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs   cCs1|djo 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]RttwinyRl(RR((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs    cOs$t}|i||tdS(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^tsubplots_adjustRl(RvRwR((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs cCstd}dtd<|d jot}|ii}n<x8tiiD]}|ii|joPqGqGWtdtdd }|i ddt ||}|td>> 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. (RtaxisRl(tvRwR((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s: cOs#ti|||}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 (Rt set_xlabelRl(RRvRwR((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytxlabelIscOs#ti|||}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. (Rt set_ylabelRl(RRvRwR((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytylabel^scOs&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. (Rtset_xlimRl(RvRwRR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytxlimxs cOs&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. (Rtset_ylimRl(RvRwRR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytylims cOs&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 (Rt set_xscaleRl(RvRwRR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytxscales s | tscalet scale_docscOs&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 (Rt set_yscaleRl(RvRwRR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytyscales cOst}t|djo|i}|i}nt|djo#|i|d}|i}nMt|djo-|i|d}|i|d|}n tdt|o"x|D]}|i|qWnt|t d|fS(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 ) iiis%Illegal number of arguments to xtickssText xticklabel( RRt get_xtickstget_xticklabelst set_xtickstset_xticklabelsRtupdateRlR(RvRwRtlocsRR((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytxtickss"    cOst}t|djo|i}|i}nt|djo#|i|d}|i}nMt|djo-|i|d}|i|d|}n tdt|o"x|D]}|i|qWnt|t d|fS(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 ) iiis%Illegal number of arguments to ytickssText yticklabel( RRt get_ytickstget_yticklabelst set_ytickstset_yticklabelsRRRlR(RvRwRRRR((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytytickss$    cCstitdS(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(Rt minorticks_onRl(((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs cCstitdS(s3 Remove minor ticks from the current plot. N(Rtminorticks_offRl(((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR&s cOst}t|tptdnt|djo"|ii}|ii}n|i||\}}t t d|t d|fS(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 axesisLine2D rgridlinesText rgridlabel( RRRRRtyaxist get_gridlinestget_ticklabelst set_rgridsRlR(RvRwRtlinesR((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytrgrids-s  cOst}t|tptdnt|djo"|ii}|ii}n|i||\}}t t d|t d|fS(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 axesisLine2D thetagridlinesText thetagridlabel( RRRRRtxaxist get_ticklinesRtset_thetagridsRlR(RvRwRRR((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt thetagridsZs/  cCsdS(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.pytplottingsRc5Csd6S(7NRRtbartboxplottclaRRdtcolorbartcoheretcsdRterrorbarRRRRtfillRR^RyRtgraytbarhtjetthistRR R timshowRtloglogtquiverRutpcolort pcolormeshtplottpsdRtscattertsettsemilogxtsemilogyRmtspecgramtstemRttableRRRRtpietpolar(5saxessaxissbarsboxplotsclasclfsclosescolorbarscoherescsdsdrawserrorbars figlegendsfigtextsfigimagesfiguresfillsgcasgcfsgcisgetsgraysbarhsjetshistsholdsimreadsimsavesimshowslegendsloglogsquiversrcspcolors pcolormeshsplotspsdssavefigsscatterssetssemilogxssemilogysshowsspecgramsstemssubplotstablestextstitlesxlabelsylabelspiespolar((((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytget_plot_commandsscCsdS(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.pytcolorss.cCsdS(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"cKs`|djo t}n|djo t}nti|d|d||}t|S(NtcaxR(R]RyRR^RRl(tmappableR-RtkwR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRRs    !cCsAt}|djotdn|i||tdS(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(RyR]Rtset_climRl(tvmintvmaxR{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytclim]s   cCsTti|}tdd|it}|dj o|i|ntdS(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`. timagetcmapN(RRRutnameRyR]tset_cmapRl(R5R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR7vs   cOs t||S(N(t_imread(RvRw((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR scOs t||S(N(t_imsave(RvRw((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR scKs|tjp |djo t}n4t|dt|}|iddddg}|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. iRg333333?g ףp= ?g?( RgRRRRtmatshowRyRzRl(tAtfignumR/RRR{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR:s  cOsD|idd}tdtd|}|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(tpopR]RRsRRl(RvRwR=RR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR)s it#it,c  s| o t} n t} t|djotdn|djo t}nti|d|d|d|d|d|fd} | |d \} }g}t|djoX| iddd}|i |d d }t ||}||| |i | nMt|}x=t d|D],}|oQ|djo!| i|dd|}}q| i|dd|d |}n'|djo| iddd}n|i t| ||\}}|i||i ||d }t ||}|||| |o|i |n|io|i| q9|id q9W|p|i|d dn| djo| intdS(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. is%must have at least one column of datatcommentstskiprowst checkrowst delimitertnamescs^t|o||fSt|o%iit|}||fStddS(s.return the name and column data for identifiers&identifier must be a string or integerN(RRtdtypeRERR(t identifierR6(tr(s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyt getname_vals   iRtsharextRtbesttdateN(RR^Rt ValueErrorR]tdictRtcsv2recRRtgetattrRtrangetgridRsRt is_last_rowRRt autofmt_xdateRl(tfnametcolst plotfuncsRARBRCRDREtsubplotstnewfigRwRRItxnametxt ynamelistRtfuncnameRtNtiRtynamety((RHs7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytplotfilesV8        !#     sE Additional kwargs: hold = [True|False] overrides default hold statecKset}|i}|dj o|i|nz|i||}tWd|i|X|S(N(RRR]RtacorrRl(R\RRwRtwasholdR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRdTs    c Ksnt}|i}|dj o|i|nz&|i|||||}tWd|i|X|S(N(RRR]RtarrowRl( R\RbtdxtdyRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRfgs    icKskt}|i}|dj o|i|nz#|i||||}tWd|i|X|S(N(RRR]RtaxhlineRl(RbtxmintxmaxRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRizs    c Ksnt}|i}|dj o|i|nz&|i|||||}tWd|i|X|S(N(RRR]RtaxhspanRl( tymintymaxRjRkRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRls    cKskt}|i}|dj o|i|nz#|i||||}tWd|i|X|S(N(RRR]RtaxvlineRl(R\RmRnRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRos    c Ksnt}|i}|dj o|i|nz&|i|||||}tWd|i|X|S(N(RRR]RtaxvspanRl( RjRkRmRnRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRps    g?itedgetverticalcKst}|i}|dj o|i|nzD|i|||||||||| | | | | |}tWd|i|X|S(N(RRR]RRRl(tlefttheighttwidthtbottomtcolorRt linewidthtyerrtxerrtecolortcapsizetalignt orientationtlogRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs   9 c Ksnt}|i}|dj o|i|nz&|i|||||}tWd|i|X|S(N(RRR]RRRl( RvRuRtRsRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs    cKsht}|i}|dj o|i|nz |i|||}tWd|i|X|S(N(RRR]Rt broken_barhRl(txrangestyrangeRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs    sb+g?c Cstt}|i} |dj o|i|nz,|i|||||||} tWd|i| X| S(N(RRR]RRRl( R\tnotchtsymtverttwhist positionstwidthsRRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs   ! iitdefaultc Kst} | i}| dj o| i| nz;| i|||||||||| | | }tWd| i|X|S(N(RRR]RRRl(R\RbtNFFTtFstFctdetrendtwindowtnoverlaptpad_totsidest scale_by_freqRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs   0 cOszt}|i}|idd}|dj o|i|nz |i|||}tWd|i|X|S(NR(RRR>R]RtclabelRl(tCSRvRwRReRR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR%s    cOst}|i}|idd}|dj o|i|nz|i||}tWd|i|X|idj o |t_ n|S(NR( RRR>R]RtcontourRlt_ARyRz(RvRwRReRR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR8s     cOst}|i}|idd}|dj o|i|nz|i||}tWd|i|X|idj o |t_ n|S(NR( RRR>R]RtcontourfRlRRyRz(RvRwRReRR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRKs     c Kst} | i}| dj o| i| nz;| i|||||||||| | | }tWd| i|X|S(N(RRR]RRRl(R\RbRRRRRRRRRRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR^s   0 t-cKst}|i}| dj o|i| nzA|i|||||||||| | | | | }tWd|i|X|S(N(RRR]RRRl(R\RbRyRztfmtR{t elinewidthR|t barsabovetlolimstuplimstxlolimstxuplimsRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRqs   6 cOswt}|i}|idd}|dj o|i|nz|i||}tWd|i|X|S(NR(RRR>R]RRRl(RvRwRReRR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs    c Ksnt}|i}|dj o|i|nz&|i|||||}tWd|i|X|S(N(RRR]Rt fill_betweenRl( R\ty1ty2twhereRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs    c Ksnt}|i}|dj o|i|nz&|i|||||}tWd|i|X|S(N(RRR]Rt fill_betweenxRl( Rbtx1tx2RRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs    idtlinearg?tnonecKst}|i}|dj o|i|nzP|i|||||||||| | | | | |||||}tWd|i|X|t_|S(N(RRR]RthexbinRlRyRz(R\RbtCtgridsizetbinsRRtextentR5tnormR1R2talphat linewidthst edgecolorstreduce_C_functiontmincntt marginalsRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs   E  i Rtmidc Kst}|i}| dj o|i| nz>|i|||||||||| | | | }tWd|i|X|S(N(RRR]RRRl(R\RRRtnormedtweightst cumulativeRvthisttypeR}R~trwidthRRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs   3 tktsolidRKc Kstt}|i} |dj o|i|nz,|i|||||||} tWd|i| X| S(N(RRR]RthlinesRl( RbRjRkR+t linestylestlabelRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs   ! g@cKst}|i}|dj o|i|nzJ|i|||||||||| | | | | |||}tWd|i|X|t_|S(N(RRR]RRRlRyRz(tXR5Rtaspectt interpolationRR1R2toriginRtshapet filternormt filterradtimlimtresampleturlRRwRReR~((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRs   ? 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See help(colormaps) for more information R4R5tautumnN(RuRyR]R7RRRl(R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s   cCsEtdddt}|dj o|itintdS(sz set the default colormap to bone and apply to current image if any. See help(colormaps) for more information R4R5tboneN(RuRyR]R7RRRl(R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s   cCsEtdddt}|dj o|itintdS(sz set the default colormap to cool and apply to current image if any. See help(colormaps) for more information R4R5tcoolN(RuRyR]R7RRRl(R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s   cCsEtdddt}|dj o|itintdS(s| set the default colormap to copper and apply to current image if any. See help(colormaps) for more information R4R5tcopperN(RuRyR]R7RRRl(R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s   cCsEtdddt}|dj o|itintdS(sz set the default colormap to flag and apply to current image if any. See help(colormaps) for more information R4R5tflagN(RuRyR]R7RRRl(R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s   cCsEtdddt}|dj o|itintdS(sz set the default colormap to gray and apply to current image if any. See help(colormaps) for more information R4R5RN(RuRyR]R7RRRl(R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s   cCsEtdddt}|dj o|itintdS(sy set the default colormap to hot and apply to current image if any. See help(colormaps) for more information R4R5thotN(RuRyR]R7RRRl(R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s   cCsEtdddt}|dj o|itintdS(sy set the default colormap to hsv and apply to current image if any. See help(colormaps) for more information R4R5thsvN(RuRyR]R7RRRl(R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s   cCsEtdddt}|dj o|itintdS(sy set the default colormap to jet and apply to current image if any. See help(colormaps) for more information R4R5RN(RuRyR]R7RRRl(R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR s   cCsEtdddt}|dj o|itintdS(sz set the default colormap to pink and apply to current image if any. See help(colormaps) for more information R4R5tpinkN(RuRyR]R7RRRl(R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR/ s   cCsEtdddt}|dj o|itintdS(s{ set the default colormap to prism and apply to current image if any. See help(colormaps) for more information R4R5tprismN(RuRyR]R7RRRl(R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR> s   cCsEtdddt}|dj o|itintdS(s| set the default colormap to spring and apply to current image if any. See help(colormaps) for more information R4R5tspringN(RuRyR]R7RRRl(R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRM s   cCsEtdddt}|dj o|itintdS(s| set the default colormap to summer and apply to current image if any. See help(colormaps) for more information R4R5tsummerN(RuRyR]R7RRRl(R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyR\ s   cCsEtdddt}|dj o|itintdS(s| set the default colormap to winter and apply to current image if any. See help(colormaps) for more information R4R5twinterN(RuRyR]R7RRRl(R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRk s   cCsEtdddt}|dj o|itintdS(s~ set the default colormap to spectral and apply to current image if any. See help(colormaps) for more information R4R5tspectralN(RuRyR]R7RRRl(R{((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pyRz s   (i(RNReRRtmatplotlib.cbookRRRRtmatplotlib.figureRRtmatplotlib.backend_basesRtmatplotlib.imageR R8R R9R R R tmatplotlib.rcsetupRRLtmatplotlib.artistRRRRR}tmatplotlib.axesRtmatplotlib.projectionsRRtmatplotlib.scaleRRRt matplotlib.cmRRtnumpytnptmatplotlib.colorsRRtmatplotlib.linesRtmatplotlib.textRRtmatplotlib.patchesR R!R"R#tmatplotlib.widgetsR$R%R&R'ttickerR(R)R*R+R,R-R.R/R0R1R2R3R4R5R6R7R8R9R:R[RjR\RkRlRmR]R_t__doc__RoRqRrRtRuRxRyRzR|RsRR^Rt has_fignumt fignum_existsRRRRRRRdRRRRRRRRRRRRRRRRRRRRRRRRRRRRRtjoinRt_xtreprRt_[2]RRRRRR R R*R+R,tmatplotlib.colorbarRt colorbar_docR3R7R:R)Rct__docstring_addendumRdRfRiRlRoRpRgRRRRt detrend_nonetwindow_hanningRRRRRRRRRtmeanRRRRRRRR(RRR RRR!R#R$R%RR&RRRRRRSRR'RRRRRRRRRRRRRRRR(((s7/usr/lib64/python2.6/site-packages/matplotlib/pyplot.pytsT  " ""| !          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