Rc@ sdZddlmZmZddlZddlZddlZddlm Z ddl j Z ddl j ZddljZddljZddljZddljZddljZddljZddljZddljZddl j!Z!ddl"j#Z$ddl%j&Z&ddl'j(Z)ddl*m+Z+dej,fdYZ-dfd YZ.d Z/d Z0d ej1e.fd YZ2de2fdYZ3dS(sQ These are classes to support contour plotting and labelling for the axes class i(tdivisiontprint_functionN(tma(tBlockingContourLabelert ClabelTextcB seZdZdZRS(s Unlike the ordinary text, the get_rotation returns an updated angle in the pixel coordinate assuming that the input rotation is an angle in data coordinate (or whatever transform set). cC shtjj|}|j}|j\}}|jtj|gtj||gg}|dS(Ni(ttexttTextt get_rotationt get_transformt get_positionttransform_anglestnptarray(tselftanglettranstxtyt new_angles((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyR*s  (t__name__t __module__t__doc__R(((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyR$stContourLabelercB seZdZdZdZdZdZdZdZdZ dZ d Z dd d Z d Zd ZdZdZdZed ddZddZdZRS(s3Mixin to provide labelling capability to ContourSetcO s|jdd}|jdd}|jdd}|jdd|_|jdd}|jd t|_|jd t|_|jd t|_t|d kr|j }t t|j }nt|dkrt |d } gg}}xFt |j D]5\} } | | kr|j| |j| qqWt|t| krd t| } | d7} | t|j 7} t| qn td||_||_tj|_|dkrt|jj} njt|tttgkrtdn@t|tkrCt|jj} n|jj||} | gt||_|dkr||_tj|j |j|_ nWt!j"|dt|j}t t|j|_ t#j$d|dt!j%|_g|_&t'j(|jrGx|jD]"\}}|j)||||qWn\|jrt*dt*d|swt*dnt+|}|||n|j,|||j-|_.|j&|_/|j0|_1t'j2d|j-|_3|j3S(s Label a contour plot. Call signature:: clabel(cs, **kwargs) Adds labels to line contours in *cs*, where *cs* is a :class:`~matplotlib.contour.ContourSet` object returned by contour. :: clabel(cs, v, **kwargs) only labels contours listed in *v*. Optional keyword arguments: *fontsize*: size in points or relative size eg 'smaller', 'x-large' *colors*: - if *None*, the color of each label matches the color of the corresponding contour - if one string color, e.g., *colors* = 'r' or *colors* = 'red', all labels will be plotted in this color - if a tuple of matplotlib color args (string, float, rgb, etc), different labels will be plotted in different colors in the order specified *inline*: controls whether the underlying contour is removed or not. Default is *True*. *inline_spacing*: space in pixels to leave on each side of label when placing inline. Defaults to 5. This spacing will be exact for labels at locations where the contour is straight, less so for labels on curved contours. *fmt*: a format string for the label. Default is '%1.3f' Alternatively, this can be a dictionary matching contour levels with arbitrary strings to use for each contour level (i.e., fmt[level]=string), or it can be any callable, such as a :class:`~matplotlib.ticker.Formatter` instance, that returns a string when called with a numeric contour level. *manual*: if *True*, contour labels will be placed manually using mouse clicks. Click the first button near a contour to add a label, click the second button (or potentially both mouse buttons at once) to finish adding labels. The third button can be used to remove the last label added, but only if labels are not inline. Alternatively, the keyboard can be used to select label locations (enter to end label placement, delete or backspace act like the third mouse button, and any other key will select a label location). *manual* can be an iterable object of x,y tuples. Contour labels will be created as if mouse is clicked at each x,y positions. *rightside_up*: if *True* (default), label rotations will always be plus or minus 90 degrees from level. *use_clabeltext*: if *True* (default is False), ClabelText class (instead of matplotlib.Text) is used to create labels. ClabelText recalculates rotation angles of texts during the drawing time, therefore this can be used if aspect of the axes changes. .. plot:: mpl_examples/pylab_examples/contour_demo.py tfontsizetinlineitinline_spacingitfmts%1.3ftcolorstuse_clabeltexttmanualt rightside_upisSpecified levels s don't match available levels s-Illegal arguments to clabel, see help(clabel)s$Font size must be an integer number.tNtcmaptnorms9Select label locations manually using first mouse button.s.End manual selection with second mouse button.s1Remove last label by clicking third mouse button.s text.TextN(4tgettNonetlabelFmttFalset_use_clabeltextt labelManualtTrueRtlentlevelstrangetcvaluestlistt enumeratetappendtstrt ValueErrort TypeErrortlabelLevelListtlabelIndiceListt font_managertFontPropertiestlabelFontPropstinttget_size_in_pointsttypetfloattset_sizetlabelFontSizeListt labelMappableR ttaketlabelCValueListRtListedColormaptcmtScalarMappabletNoNormtlabelXYstcbooktiterabletadd_label_neartprintRtlabelst labelTextstcltcl_xyt labelCValuest cl_cvaluest silent_listtlabelTextsList(R targstkwargsRRRt_colorsR*tindicestlevlabstitlevtmsgt font_sizeR RRtblocking_contour_labeler((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pytclabel6sz\                    c C st|}|d|kr tStj|dddf}tj|dddf}tj|dddf}tj|dddf}|}||d|ks||d|krtStSdS(s5Return *False* if contours are too short for a label.i Niig333333?(R)R(R tamaxtaminR%( R t linecontourt labelwidthtlcsizetxmaxtxmintymaxtymintlw((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyt print_labels (cC sWxP|jD]E}tj||dd||dd}|d|kr tSq WtS(s7Return *True* if a label is already near this location.iiig333333?(RER tsqrtR(R%(R RRRftloctd((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyt too_closes +c C st|d}tj|}xP|D]H}||||||} } |j| | |rdq&n| | |fSW|d}||||||} } | | |fS(s Return x, y, and the index of a label location. Labels are plotted at a location with the smallest deviation of the contour from a straight line unless there is another label nearby, in which case the next best place on the contour is picked up. If all such candidates are rejected, the beginning of the contour is chosen. ii(R8R targsortRk( R t distancestXXtYYtysizeRfthysizetadisttindRR((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pytget_label_coordss   cC stj|s$|j||}ntjj|\}}|dkrt|dsitj|_ n|j j ||\}}}nt|rt|dst j d|_ n|j j|ddd|j\}}|j}nt||d}|S( s: Return the width of the label in points. tTeXt _TeX_managert_mathtext_parsertbitmaptdpiiHtpropg333333?(RFtis_string_liketget_textRRt is_math_textthasattrt texmanagert TexManagerRvtget_text_width_height_descenttmathtexttMathTextParserRwtparseR7t get_widthR)(R RXRtfsizetismathRft_timg((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pytget_label_widths   cC stjtj|jjjdddd}tj|d|d}|j||j ||d|j d|jj j j }tj|jddddfd}|S(s This computes actual onscreen label width. This uses some black magic to determine onscreen extent of non-drawn label. This magic may not be very robust. This method is not being used, and may be modified or removed. itaxisiitktrendererN(R tmeantasarraytaxRtreshapeRRtset_label_propsR|tget_window_extenttfiguretcanvasRtdifftcorners(R RXRRtxxtttbboxRf((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pytget_real_label_width2s 3,cC sA|j||j||j|j|j|jjdS(s0set the label properties - color, fontsize, textN(tset_textt set_colortset_fontpropertiesR7t set_clip_boxRR(R tlabelRtcolor((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyRLs  cC sLtj|r|St|tr*||St|r@||S||SdS(sget the text of the labelN(RFR{t isinstancetdicttcallable(R RXR((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyR|Ss  cC s#t|}|dkr4ttj||}nd}|dkrO|}n t|}tj|dddf||f}tj|dddf||f}|dddfj|d}|dddfj|d} |dddfj|d} |dddfj|d} ||| | | || |} tj| | d| |dj} tjj gt |D]}t | || |^qd}|j |||||\}}}g|D]}t |^q}|j||f}|||fS(sb Find a good place to plot a label (relatively flat part of the contour). iNiii(R)R8R tceiltresizeRRhtraveltaddtreduceR+tabsRtttupletindex(R R_R`tnsizetxsizeRpRnRotyfirsttylasttxfirsttxlasttstLRWtdistRRRstltlctdind((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyt locate_label_s(     ((""""")@$icC s|d krg}n|d}tj|}|rtj||d!||d f}t|rtj||d!||d f}nd}ntj|}|||}tj| |g} |rtj|ddg} ntj| } tj ||| | dt } tj | ddj } tj | dkrLd} n%tj| d| ddtj} |jr| d kr| d} n| d krd| } qng}t|r| | tj| |g} tj |tjt|| dt}tj|d rVt|d|dkrVtj ||| dg}ntj|d rt|d|dkrtj ||| dg}ntj|dtj|dg}|rtj tj|r|jtj|||d|dd!|fqqtj|dsZ|jtj||dd |fntj|ds|jtj|||dfqn| |fS( s This function calculates the appropriate label rotation given the linecontour coordinates in screen units, the index of the label location and the label width. It will also break contour and calculate inlining if *lc* is not empty (lc defaults to the empty list if None). *spacing* is the space around the label in pixels to leave empty. Do both of these tasks at once to avoid calling mlab.path_length multiple times, which is relatively costly. The method used here involves calculating the path length along the contour in pixel coordinates and then looking approximately label width / 2 away from central point to determine rotation and then to break contour if desired. g@iiitextrapRggf@iZiN(R#tmlabtis_closed_polygonR tr_R)t path_lengthR t zeros_liket less_simple_linear_interpolationR(RRtalltarctan2tpiRtarangeR%tisnanR8tfloorRR/(R tslcRsRfRtspacingthlwtclosedtpltxitdptlltddtrotationtnlctItxy1txy2((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pytcalc_label_rot_and_inlines\   " %   %     $..&6)(c C sO|jjjj||f\}}tj||d|dddd}|S(NRthorizontalalignmenttcentertverticalalignment(Rt transDatatinvertedttransform_pointRR(R RRRtdxtdyR((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyt_get_label_texts ' c C s|jjj}|j||f\}}|jtj|gtj||gg}t||d|ddddd}|S(NRiRRR(RRRRR R R R( R RRRt transDataInvRRt drotationR((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyt_get_label_clabeltexts cC s|jj|d|j}|j||j}|j||||jj||jj||j j||f|j j |dS(Ntalpha( R>tto_rgbaRR|R$RRKR/RNRERt add_artist(R RRRRXtcvalueRt_text((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyt _add_labelscC s2|j|||}|j|||||dS(sO Add contour label using :class:`~matplotlib.text.Text` class. N(RR(R RRRRXRR((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyt add_labelscC s2|j|||}|j|||||dS(sD Add contour label using :class:`ClabelText` class. N(RR(R RRRRXRR((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pytadd_label_clabeltexts cC sF|dkr|jj}n|r?|j||f\}}n|j|||jd \}}}} } |j|j} | |j} |r|j j | | g} nt j | | g} t j | | |s&t j| | t j | dddf| |f} tj| | |Defaults to removing last label, but any index can be suppliedN(RNRRKtremove(R RR((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyt pop_labelnscC s|jr|j}n |j}xt|j|j|j|jD]\}}}}|j|}|j } |j ||j |} | |j j jd9} g} |j} xAt| D]3\} }|j}| j|}tj|rtj||ddddff}n|}|j|| r|j|| \}}}|rZ|}nd}|j||| ||\}}|||||||rx<|D]1}t|dkr| jtj|qqWqq| j|qW|r@| 2| j| q@q@WdS(NgR@ii( R&RRtzipR4R3R=R@RRRR$RRRyRR.RRRRR RRgRR#RR)R/RRtextend(R RRRticonRXRRtconRRft additionsRtsegNumtlinepathRtslc0RRRRsRRtnewR((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyRJtsF    "    ,   #N(RRRR\RgRkRtRRRR|RR#RRRRRRR(RHRRJ(((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyR3s(       %j     I cC stj||kr6tj||d}||fS||}||}tj||tj||}|dkrd}n|dkrd}n|||}tj||d}||fS(s=find closest point to p0 on line segment connecting p1 and p2iii(R Rtsumtdot(tp1tp2tp0Rjtd21td01tprojtpc((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyt_find_closest_point_on_legs   "    c C s@tj||dddfdd}tj|}tj}d}d}tj|}g}|dksu|r|j|dt||fn|t|dks|r|j||dt|fnxW|D]O} t || d|| d|\} } | |kr| }| }| }qqW|||fS(sJ lc: coordinates of vertices point: coordinates of test point Niii(NN( R RR#targmintinfRRR/R)R( RtpointtdsRtdminRtlegminRtlegstlegRjtxc((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyt_find_closest_point_on_paths$* $$ (  t ContourSetcB seZdZdZdZdZdedZdZdZ dZ d Z d Z d Z d Zd ZdZdZdZdZdZdedZRS(s Store a set of contour lines or filled regions. User-callable method: clabel Useful attributes: ax: The axes object in which the contours are drawn collections: a silent_list of LineCollections or PolyCollections levels: contour levels layers: same as levels for line contours; half-way between levels for filled contours. See :meth:`_process_colors`. cO s||_|jdd,|_|jdt|_|jdd,|_|jdd,|_|jdd,g|_|jdd,|_ |jdd,|_ |jdd,|_ |jd d,}|jd d,|_ |jd d,}|jd d,}|jd d,}|jdd|_ |jdd,|_|jd,kr_|jr_t|_n|jdd|_|jdd,|_t|t jst|jtjrt|_|d,krt j}n|j dk rtdqn t|_|j d,k r%|j d-ks%tn|j d,k rRt|j dksRtn|j d,k r||d,k r|tdn|j dkrtjd|_ n|jdd,|_|j|||j|j d,k rt|j}|jr|d8}nd} |j d.k} |j d/k} t} |t| t| } t|j | krt | | grt} | rd} qnt j!|j | d,!d |}| r| r|j"|j dn| r|j#|j d!qqn|jrt$j%d"|_&nt$j%d#|_&g|_'g|_(i|d 6}|d,k rQ||d |j?}|j}|d,k r|jf}nxt6|j|||j1D]\}}}}|jd%d)}t8j@|d&|d|d*|gd|j d|j:d%|}|jAd+|jj;|t|j&j<|q7W|jBd,S(0s Draw contour lines or filled regions, depending on whether keyword arg 'filled' is *False* (default) or *True*. The first three arguments must be: *ax*: axes object. *levels*: [level0, level1, ..., leveln] A list of floating point numbers indicating the contour levels. *allsegs*: [level0segs, level1segs, ...] List of all the polygon segments for all the *levels*. For contour lines ``len(allsegs) == len(levels)``, and for filled contour regions ``len(allsegs) = len(levels)-1``. level0segs = [polygon0, polygon1, ...] polygon0 = array_like [[x0,y0], [x1,y1], ...] *allkinds*: *None* or [level0kinds, level1kinds, ...] Optional list of all the polygon vertex kinds (code types), as described and used in Path. This is used to allow multiply- connected paths such as holes within filled polygons. If not *None*, len(allkinds) == len(allsegs). level0kinds = [polygon0kinds, ...] polygon0kinds = [vertexcode0, vertexcode1, ...] If *allkinds* is not *None*, usually all polygons for a particular contour level are grouped together so that level0segs = [polygon0] and level0kinds = [polygon0kinds]. Keyword arguments are as described in :class:`~matplotlib.contour.QuadContourSet` object. **Examples:** .. plot:: mpl_examples/misc/contour_manual.py R*tfilledt linewidthst linestylesthatchesRtorigintextentR RR!tvmintvmaxRtneithert antialiasedtnchunkitlocators.extend kwarg does not work yet with log scaletlowertuppertimageis"Either colors or cmap must be Nones image.originRitmintbothtmaxRismcoll.PathCollectionsmcoll.LineCollections!linewidths is ignored by contourftzordert antialiasedst edgecolorstnoneit linestylet _nolegend_N(slowersuppersimage(sminR+(smaxR+(CRR"R#R*R%RRRRRRR RRR$R%R&RtLogNormttickert LogLocatorR(tlogscaleR1tAssertionErrorR)tmpltrcParamst _transformt _process_argst_process_levelsR8tanyRAt set_undertset_overRFRPRRKRNRBRCt__init__R!R!R"t_process_colorst_get_allsegs_and_allkindstallsegstallkindstwarningstwarnt_get_lowers_and_uppersRt _make_pathstmcolltPathCollectionRtadd_collectionR/t_process_linewidthst tlinewidthst_process_linestylestLineCollectiont set_labeltchanged(R RRRRSR R!R!R"tncolorsti0t extend_mint extend_maxtuse_set_under_overt total_levelstkwtlowerstupperstlevelt level_uppertsegstkindsRR-tcolRMt tlinestylestaatwidthtlstyle((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyR@s,                   +         +     cC sk|jdkr!|jj|_nCt|jtj rdt|jdrd|jj|j|_n|jS(sp Return the :class:`~matplotlib.transforms.Transform` instance used by this ContourSet. t_as_mpl_transformN( R:R#RRRtmtranst TransformR~Rd(R ((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyRs cC s|jj}d|d<|S(NtCntr(t__dict__tcopyR#(R tstate((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyt __getstate__s Rc C sg}g}|jrX|j\}}t|j}xtt|j||D]\}\} } } tjd ddd| jdd| j d| j } |j | || } || } |dkr|j dkr|j d|| fqR||dkr7|j dkr7|j d || fqR|j d | || fqRWnrxot|j|j D]X\} } tjd} | j| |j | || } |j d || fqnW||fS(sQ Return a list of artist and labels suitable for passing through to :func:`plt.legend` which represent this ContourSet. Args: *variable_name*: the string used inside the inequality used on the labels *str_format*: function used to format the numbers in the labels iit facecolorthatchRR*R+s $%s \leq %s$R,s $%s > %s$s$%s < %s \leq %s$s $%s = %s$(ii(sminsboth(smaxsbothN(RRGR)RR.Rtmpatchest Rectanglet get_facecolort get_hatcht get_alphaR/RR*RIROR#t update_from(R t variable_namet str_formattartistsRJRYRZtn_levelsRWt collectionR'R(tpatchR[((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pytlegend_elementss>  +        "   cO s|d|_|d|_t|dkr6|dp9d |_tj|j|_tj|j|_ t |_ |j rt|jt|jdkrt dqn-t|jt|jkrt dn|jd k rt|jt|jkrt dnt }x|jD]}x|D]}tj|}|rtj||jdd}tj||jdd}q5|jdd}|jdd}t}q5Wq(W|r|jj||g|jjdtnd S( s Process *args* and *kwargs*; override in derived classes. Must set self.levels, self.zmin and self.zmax, and update axes limits. iiis-must be one less number of segments as levelss)must be same number of segments as levelss(allkinds has different length to allsegsRttightN(R*RCR)R#RDR R]tzmaxR^tzminR%t_autoRR1RtminimumR*tmaximumR,R(Rtupdate_datalimtautoscale_view(R RRRSt havelimitsR]tsegR*R,((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyR; s6  %  " !cC s|j|jfS(sv Override in derived classes to create and return allsegs and allkinds. allkinds can be None. (RCRD(R ((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyRB9scC ss|jd }|j|dkr\|j}|jrId|j|dRBRCRQ( R trgbaRRRRmRxRtcv((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyRQVs4    "cC s|jdkrC|jr*tj|_qCtj|d|_n|j}|j}|jj||}t |_ |j r|S|||k||k@S(s Select contour levels to span the data. We need two more levels for filled contours than for line contours, because for the latter we need to specify the lower and upper boundary of each range. For example, a single contour boundary, say at z = 0, requires only one contour line, but two filled regions, and therefore three levels to provide boundaries for both regions. iN( R&R#R6R4R5t MaxNLocatorR|R}t tick_valuesR(R~R(R tzRR|R}RX((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyt_autolevis      cC s|jrd}nd}t|_|jdkrt|dkrW|j|d}np|d}yFt|tkr|j||}nt j |j t j }Wnt d||fnX||_n|jrt|jdkrtdndS( sH Determine the contour levels and store in self.levels. tcontourftcontouriis*Last %s arg must give levels; see help(%s)is*Filled contours require at least 2 levels.N(RR%R~R*R#R)RR:R8R Rtastypetfloat64R2R1(R RRRtfnRXt level_arg((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyt_contour_level_argss&     cC sGtj|j|_tj|j|_t|j|_|jd krx|jj dt |jd|j dn|jd kr|jj t |jd|jdntj|j|_|js|j|_dSd|jd |jd|_|jd kr!tj |jdtjdfg|}ntj|s]|g|}nit|}t||krt t j |t|}||}nt||kr|| }ng|D]}|f^q}|S(Nslines.linewidth( RR)R*R#R8R9RFRGR-R8R R(R RtNlevRMtnrepstw((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyRLs     c C sE|j}t|j}|dkrdg|}|jrAtjd}|j|j d}x9t |jD]%\}}||krl|||Shape of x does not match that of z: found {0} instead of {1}.s>Shape of y does not match that of z: found {0} instead of {1}.s Inputs x and y must be 1D or 2D.( Rt_process_unit_infotconvert_xunitstconvert_yunitsR RRRtndimR2tshapetmeshgridtformat( R RRRSRRRtNytNxtnxtny((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyRs:        c C s|jdkrtdn|j\}}|jdkr|jdkrmtjtj|tj|S|j\}}}}tj |||}tj |||} tj|| Sn|jdkrd|d|f\}}}}n|j\}}}}t |||} t |||} |tj|d| }|tj|d| } |jdkr| ddd} ntj|| S(s Return X, Y arrays such that contour(Z) will match imshow(Z) if origin is not None. The center of pixel Z[i,j] depends on origin: if origin is None, x = j, y = i; if origin is 'lower', x = j + 0.5, y = i + 0.5; if origin is 'upper', x = j + 0.5, y = Nrows - i - 0.5 If extent is not None, x and y will be scaled to match, as in imshow. If origin is None and extent is not None, then extent will give the minimum and maximum values of x and y. isInput must be a 2D array.ig?R(Ni( RR2RRR#R R RRtlinspaceR;( R RRRRRRRRRRR((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyRs( "!s Plot contours. :func:`~matplotlib.pyplot.contour` and :func:`~matplotlib.pyplot.contourf` draw contour lines and filled contours, respectively. Except as noted, function signatures and return values are the same for both versions. :func:`~matplotlib.pyplot.contourf` differs from the MATLAB version in that it does not draw the polygon edges. To draw edges, add line contours with calls to :func:`~matplotlib.pyplot.contour`. Call signatures:: contour(Z) make a contour plot of an array *Z*. The level values are chosen automatically. :: contour(X,Y,Z) *X*, *Y* specify the (x, y) coordinates of the surface :: contour(Z,N) contour(X,Y,Z,N) contour *N* automatically-chosen levels. :: contour(Z,V) contour(X,Y,Z,V) draw contour lines at the values specified in sequence *V* :: contourf(..., V) fill the ``len(V)-1`` regions between the values in *V* :: contour(Z, **kwargs) Use keyword args to control colors, linewidth, origin, cmap ... see below for more details. *X* and *Y* must both be 2-D with the same shape as *Z*, or they must both be 1-D such that ``len(X)`` is the number of columns in *Z* and ``len(Y)`` is the number of rows in *Z*. ``C = contour(...)`` returns a :class:`~matplotlib.contour.QuadContourSet` object. Optional keyword arguments: *colors*: [ *None* | string | (mpl_colors) ] If *None*, the colormap specified by cmap will be used. If a string, like 'r' or 'red', all levels will be plotted in this color. If a tuple of matplotlib color args (string, float, rgb, etc), different levels will be plotted in different colors in the order specified. *alpha*: float The alpha blending value *cmap*: [ *None* | Colormap ] A cm :class:`~matplotlib.colors.Colormap` instance or *None*. If *cmap* is *None* and *colors* is *None*, a default Colormap is used. *norm*: [ *None* | Normalize ] A :class:`matplotlib.colors.Normalize` instance for scaling data values to colors. If *norm* is *None* and *colors* is *None*, the default linear scaling is used. *vmin*, *vmax*: [ *None* | scalar ] If not *None*, either or both of these values will be supplied to the :class:`matplotlib.colors.Normalize` instance, overriding the default color scaling based on *levels*. *levels*: [level0, level1, ..., leveln] A list of floating point numbers indicating the level curves to draw; eg to draw just the zero contour pass ``levels=[0]`` *origin*: [ *None* | 'upper' | 'lower' | 'image' ] If *None*, the first value of *Z* will correspond to the lower left corner, location (0,0). If 'image', the rc value for ``image.origin`` will be used. This keyword is not active if *X* and *Y* are specified in the call to contour. *extent*: [ *None* | (x0,x1,y0,y1) ] If *origin* is not *None*, then *extent* is interpreted as in :func:`matplotlib.pyplot.imshow`: it gives the outer pixel boundaries. In this case, the position of Z[0,0] is the center of the pixel, not a corner. If *origin* is *None*, then (*x0*, *y0*) is the position of Z[0,0], and (*x1*, *y1*) is the position of Z[-1,-1]. This keyword is not active if *X* and *Y* are specified in the call to contour. *locator*: [ *None* | ticker.Locator subclass ] If *locator* is *None*, the default :class:`~matplotlib.ticker.MaxNLocator` is used. The locator is used to determine the contour levels if they are not given explicitly via the *V* argument. *extend*: [ 'neither' | 'both' | 'min' | 'max' ] Unless this is 'neither', contour levels are automatically added to one or both ends of the range so that all data are included. These added ranges are then mapped to the special colormap values which default to the ends of the colormap range, but can be set via :meth:`matplotlib.colors.Colormap.set_under` and :meth:`matplotlib.colors.Colormap.set_over` methods. *xunits*, *yunits*: [ *None* | registered units ] Override axis units by specifying an instance of a :class:`matplotlib.units.ConversionInterface`. *antialiased*: [ *True* | *False* ] enable antialiasing, overriding the defaults. For filled contours, the default is *True*. For line contours, it is taken from rcParams['lines.antialiased']. contour-only keyword arguments: *linewidths*: [ *None* | number | tuple of numbers ] If *linewidths* is *None*, the default width in ``lines.linewidth`` in ``matplotlibrc`` is used. If a number, all levels will be plotted with this linewidth. If a tuple, different levels will be plotted with different linewidths in the order specified *linestyles*: [ *None* | 'solid' | 'dashed' | 'dashdot' | 'dotted' ] If *linestyles* is *None*, the default is 'solid' unless the lines are monochrome. In that case, negative contours will take their linestyle from the ``matplotlibrc`` ``contour.negative_linestyle`` setting. *linestyles* can also be an iterable of the above strings specifying a set of linestyles to be used. If this iterable is shorter than the number of contour levels it will be repeated as necessary. contourf-only keyword arguments: *nchunk*: [ 0 | integer ] If 0, no subdivision of the domain. Specify a positive integer to divide the domain into subdomains of roughly *nchunk* by *nchunk* points. This may never actually be advantageous, so this option may be removed. Chunking introduces artifacts at the chunk boundaries unless *antialiased* is *False*. *hatches*: A list of cross hatch patterns to use on the filled areas. If None, no hatching will be added to the contour. Hatching is supported in the PostScript, PDF, SVG and Agg backends only. Note: contourf fills intervals that are closed at the top; that is, for boundaries *z1* and *z2*, the filled region is:: z1 < z <= z2 There is one exception: if the lowest boundary coincides with the minimum value of the *z* array, then that minimum value will be included in the lowest interval. **Examples:** .. plot:: mpl_examples/pylab_examples/contour_demo.py .. plot:: mpl_examples/pylab_examples/contourf_demo.py ( RRRR@R;RBRRRt contour_doc(((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyRis '   5 (4Rt __future__RRREt matplotlibR8tnumpyR Rtmatplotlib._cntrRtmatplotlib.pathtpathRtmatplotlib.tickerR4t matplotlib.cmRBtmatplotlib.colorsRtmatplotlib.collectionsRRItmatplotlib.font_managerR5tmatplotlib.textRtmatplotlib.cbookRFtmatplotlib.mlabRtmatplotlib.mathtextRtmatplotlib.patchestpatchesRntmatplotlib.texmanagerRtmatplotlib.transformst transformsRetmatplotlib.blocking_inputRRRRRRRCRR(((sL/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/contour.pyts<      !