m[c@`sdZddlmZmZmZmZddlZddlmZddl Z ddl Z ddl Z ddl mZddljZddljZddljZddljZddljZddljZddljZddlj Z ddl!j"Z"ddl#j$Z$ddl%j&Z'ddl(j)Z)ddl*j+Z,ddl-m.Z.de j/fdYZ0d e1fd YZ2d Z3d Z4d Z5dej6e2fdYZ7de7fdYZ8dS(uQ These are classes to support contour plotting and labelling for the Axes class. i(tabsolute_importtdivisiontprint_functiontunicode_literalsN(txrange(tma(tBlockingContourLabelert ClabelTextcB`seZdZdZRS(u 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((s1lib/python2.7/site-packages/matplotlib/contour.pyR -s  (t__name__t __module__t__doc__R (((s1lib/python2.7/site-packages/matplotlib/contour.pyR'stContourLabelercB`seZdZdZdZdZdZdZej ddZ dZ d Z d Z dd d Zd ZdZdZdZdZed ddZddZdZRS(u7Mixin to provide labelling capability to `.ContourSet`.cO`se|jdd}|jdd}|jdd}|jdd|_|jdd}|jd t|_|jd t|_|jd t|_t|d kr|j }t t t|j }nt|dkrt |d } gg}}xFt |j D]5\} } | | kr|j| |j| qqWt|t| krtd j| |j qn td||_||_tj|_|jj||jj} | gt||_|dkr||_tj|j |j|_n]tj|dt|j} t t t|j|_t j!d| dtj"|_g|_#t$j%|jrx|jD]"\}}|j&||||qWn\|jrt'dt'd|st'dnt(|}|||n|j)|||j*|_+|j#|_,|j-|_.t$j/d|j*|_0|j0S(u 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*. Parameters ---------- fontsize : string or float, optional Size in points or relative size e.g., 'smaller', 'x-large'. See `Text.set_size` for accepted string values. colors : Color of each label - 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 : bool, optional If ``True`` the underlying contour is removed where the label is placed. Default is ``True``. inline_spacing : float, optional 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 : string or dict, optional 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 : bool or iterable, optional 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 also 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 : bool, optional If ``True``, label rotations will always be plus or minus 90 degrees from level. Default is ``True``. use_clabeltext : bool, optional If ``True``, `ClabelText` class (instead of `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. Default is ``False``. ufontsizeuinlineiuinline_spacingiufmtu%1.3fucolorsuuse_clabeltextumanualu rightside_upiu3Specified levels {} don't match available levels {}u-Illegal arguments to clabel, see help(clabel)tNtcmaptnormu9Select label locations manually using first mouse button.u.End manual selection with second mouse button.u1Remove last label by clicking third mouse button.u text.TextN(1tgettNonetlabelFmttFalset_use_clabeltextt labelManualtTruet rightside_uptlentlevelstlistRtcvaluest enumeratetappendt ValueErrortformatt TypeErrortlabelLevelListtlabelIndiceListt font_managertFontPropertiestlabelFontPropstset_sizetget_size_in_pointstlabelFontSizeListt labelMappableRttaketlabelCValueListtcolorstListedColormaptcmtScalarMappabletNoNormtlabelXYstcbooktiterabletadd_label_neartprintRtlabelst labelTextstcltcl_xyt labelCValuest cl_cvaluest silent_listtlabelTextsList(Rtargstkwargstfontsizetinlinetinline_spacingt_colorsR&tindicestlevlabstitlevt font_size_ptsRRRtblocking_contour_labeler((s1lib/python2.7/site-packages/matplotlib/contour.pytclabel9sj`                   cC`s9t|d|kp8tj|ddd|kjS(u5Return *False* if contours are too short for a label.i taxisig333333?(R%Rtptptany(Rt linecontourt labelwidth((s1lib/python2.7/site-packages/matplotlib/contour.pyt print_labelscC`sWxP|jD]E}tj||dd||dd}|d|kr tSq WtS(u7Return *True* if a label is already near this location.iiig333333?(R>RtsqrtR#R (RRRtlwtloctd((s1lib/python2.7/site-packages/matplotlib/contour.pyt too_closes +c C`st|d}tj|}xP|D]H}||||||} } |j| | |rdq&n| | |fSW|d}||||||} } | | |fS(u 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(tintRtargsortRb( Rt distancestXXtYYtysizeR_thysizetadisttindRR((s1lib/python2.7/site-packages/matplotlib/contour.pytget_label_coordss   cC`st|tjs'|j||}ntjj|\}}|dkrt|dsltj |_ n|j j ||\}}}nt|rt|dst j d|_n|jj|ddd|j\}}|j}nt||d}|S( u: Return the width of the label in points. uTeXu _TeX_manageru_mathtext_parserubitmaptdpiiHtpropg333333?(t isinstancetsixt string_typestget_textRR t is_math_textthasattrt texmanagert TexManagert _TeX_managertget_text_width_height_descenttmathtexttMathTextParsert_mathtext_parsertparseR2t get_widthR%(RRTtfmttfsizetismathR_t_timg((s1lib/python2.7/site-packages/matplotlib/contour.pytget_label_widths   u2.2cC`stjtj|jjjdddd}tj|d|d}|j||j ||d|j d|jj j j }tj|jddddfd}|S(u 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. iRXiiuktrendererN(RtmeantasarraytaxRXtreshapeRR tset_label_propsRrtget_window_extenttfiguretcanvasRtdifftcorners(RRTR~RtxxtttbboxR_((s1lib/python2.7/site-packages/matplotlib/contour.pytget_real_label_widths 3,cC`sA|j||j||j|j|j|jjdS(u1Set the label properties - color, fontsize, text.N(tset_textt set_colortset_fontpropertiesR2t set_clip_boxRR(RtlabelRtcolor((s1lib/python2.7/site-packages/matplotlib/contour.pyR:s  cC`sWt|tjr|St|tr5|j|dSt|rK||S||SdS(uGet the text of the label.u%1.3fN(RoRpRqtdictRtcallable(RRTR~((s1lib/python2.7/site-packages/matplotlib/contour.pyRrAs  cC`st|}|dkr4ttj||}nd}|dkrO|}n t|}tj|dddf||f}tj|dddf||f}|ddddf}|ddddf} |ddddf} |ddddf} ||| | | || |} tj| | | |} tjdddd'tjtj| | dd}WdQX|j |||||\}}}g|D]}t |^q}|j ||f}|||fS( uX Find good place to draw a label (relatively flat part of the contour). iNiitdivideuignoretinvalidRX( R%RcRtceiltresizethypotterrstatetsumtabsRlttupletindex(RR[R\tnsizetxsizeRhRfRgtyfirsttylasttxfirsttxlasttstLtdistRRRktltlctdind((s1lib/python2.7/site-packages/matplotlib/contour.pyt locate_labelMs*     (("($ic`s|dkrg}n|d}t|}|rtj||d!||d f}t|rtj||d!||d f}nd}ntj|jddttj|dd}tj tj |dddf|dddfd)|tj | |g|rCtj ddgntj fd|j D\\}\} tjtj| |} |jr| d d d } ng} t|rtj | |gtjtjtd dd d} tj| djttj| djtg} | ddkrg|j D]} tjd| ^qh}n| ddkrg|j D]} tjd| ^q}n|r&td | Dr| jtj||| d| dd!|gqq| ddkra| jtj|| dd |gn| ddkr| jtj||| dgqn| | fS(u This function calculates the appropriate label rotation given the linecontour coordinates in screen units, the index of the label location and the label width. It will also break contour and calculate inlining if *lc* is not empty (lc defaults to the empty list if None). *spacing* is the space around the label in pixels to leave empty. Do both of these tasks at once to avoid calculating path lengths multiple times, which is relatively costly. The method used here involves calculating the path length along the contour in pixel coordinates and then looking approximately label width / 2 away from central point to determine rotation and then to break contour if desired. g@iiitdtypeRXNc3`s1|]'}tjtj|VqdS(N(RRtinterp(t.0tslc_col(tdptpltxi(s1lib/python2.7/site-packages/matplotlib/contour.pys siZitlefttrightcs`s|]}|dkVqdS(iN((RRS((s1lib/python2.7/site-packages/matplotlib/contour.pys s(Rt_is_closed_polygonRtr_R%tzerostshapetfloatRtcumsumRRt zeros_liketTtrad2degtarctan2R$RtarangetfloortastypeRcRtallR*t row_stack(RtslcRkR_RtspacingthlwtclosedtdxtdytrotationtnlctItlc_coltxy1txy2((RRRs1lib/python2.7/site-packages/matplotlib/contour.pytcalc_label_rot_and_inlineqsN    " % ?  08228+*c C`sO|jjjj||f\}}tj||d|dddd}|S(NRthorizontalalignmentucentertverticalalignment(Rt transDatatinvertedttransform_pointRR (RRRRRRR((s1lib/python2.7/site-packages/matplotlib/contour.pyt_get_label_texts ' c C`s|jjj}|j||f\}}|jtj|gtj||gg}t||d|ddddd}|S(NRiRucenterR(RRRRR RRR( RRRRt transDataInvRRt drotationR((s1lib/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( R6tto_rgbaRRrRRRDR*RGR>Rt add_artist(RRRRRTtcvalueRt_text((s1lib/python2.7/site-packages/matplotlib/contour.pyt _add_labelscC`s2|j|||}|j|||||dS(uO Add contour label using :class:`~matplotlib.text.Text` class. N(RR(RRRRRTRR((s1lib/python2.7/site-packages/matplotlib/contour.pyt add_labelscC`s2|j|||}|j|||||dS(uD Add contour label using :class:`ClabelText` class. N(RR(RRRRRTRR((s1lib/python2.7/site-packages/matplotlib/contour.pytadd_label_clabeltexts cC`sK|dkr|jj}n|r?|j||f\}}n|j|||jd \}}}} } |j|j} | |} | j} |jjj j| | g}t j || |st j | | t j |dddf| |f} tj| | |Defaults to removing last label, but any index can be suppliedN(RGRRDtremove(RRR((s1lib/python2.7/site-packages/matplotlib/contour.pyt pop_label[scC`s|jr|j}n |j}xt|j|j|j|jD]\}}}}|j|}|j } |j ||j |} | |j j jd9} g} |j} x>t| D]0\} }|j}| j|}t|rtj||ddddff}n|}|j|| r|j|| \}}}|rW|}nd}|j||| ||\}}|||||||rx<|D]1}t|dkr| jtj|qqWqq| j|qW|r@| 2| j| q@q@WdS(NgR@ii(R!RRtzipR/R.R5R8RR RRRRRmRR)RRRRRR]RRRR%R*RRtextend(RRNRORticonRTRRtconRR_t additionsRtsegNumtlinepathRtslc0RRRRkRRtnewR((s1lib/python2.7/site-packages/matplotlib/contour.pyRCasF    "     ,   #N(RRRRWR]RbRlRR?t deprecatedRRRrRRRRRRRRR#RARRC(((s1lib/python2.7/site-packages/matplotlib/contour.pyR6s(      $[     X cC`stj||kr6tj||d}||fS||}||}tj||tj||}|dkrd}n|dkrd}n|||}tj||d}||fS(uBFind the closest point to p0 on line segment connecting p1 and p2.iii(RRRtdot(tp1tp2tp0Ratd21td01tprojtpc((s1lib/python2.7/site-packages/matplotlib/contour.pyt_find_closest_point_on_legs   "    cC`stj|d|dkS(u Return whether first and last object in a sequence are the same. These are presumably coordinates on a polygonal curve, in which case this function tests if that curve is closed. ii(RR(tX((s1lib/python2.7/site-packages/matplotlib/contour.pyRsc C`s=tj||dddfdd}tj|}tj}d}d}t|}g}|dksr|r|j|dt||fn|t|dks|r|j||dt|fnxW|D]O} t|| d|| d|\} } | |kr| }| }| }qqW|||fS(uJ lc: coordinates of vertices point: coordinates of test point Niii(NN( RRRtargmintinfRR*R%R( RtpointtdsRtdminRtlegminRtlegstlegRatxc((s1lib/python2.7/site-packages/matplotlib/contour.pyt_find_closest_point_on_paths$*  $$ (  t ContourSetcB`seZdZdZdZdZdedZdZdZ dZ d Z d Z d Z d Zd ZdZdZdZdZdZdedZRS(u Store a set of contour lines or filled regions. User-callable method: `~.axes.Axes.clabel` Parameters ---------- ax : `~.axes.Axes` 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``. The lists should look like:: 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)``. The lists should look like:: 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]``. kwargs : Keyword arguments are as described in the docstring of `~.axes.Axes.contour`. 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||_|jdd6|_|jdt|_|jdd6|_|jdd6|_|jdd6g|_|jdd6|_ |jdd6|_ |jdd6|_ |jd d6}|jd d6|_ |jd d6}|jd d6}|jd d6}|jdd|_ |jdd6|_|jd6kr_|jr_t|_n|jdd|_|jdd6|_t|t jst|jtjrt|_|d6krt j}n|j dk rtdqn t|_|j d7krtdn|j d6k rOt|j dkrOtdn|j d6k ry|d6k rytdn|j dkrtjd|_ n|jdd6|_|j||}|j|j d6k rt|j}|jr|d8}nd} |j d8k} |j d9k} t} |t| t| } t|j | krt| | grt} | rd} qnt j |j | d6!d"|}| r| r|j!|j dn| r|j"|j d#qqn|jrt#j$d$|_%nt#j$d%|_%g|_&g|_'i|d 6}|d6k rP||d }|j}|d6k r |jf}n|jd'd/}xt5|j|||j0D]\}}}}t7j?|d(|d0|d1|gd+|j d,|j9d-|}|j@d2|jj:|d.t|j%j;|qNWxS|j%D]H}|jAd|jBdg|jCjD(|jAd|jBdg|jCjE(qW|jjF|jA|jBg|jjGd3t|jH|rd4jItJtK|}t2j3d5|nd6S(:u Draw contour lines or filled regions, depending on whether keyword arg *filled* is ``False`` (default) or ``True``. Call signature:: ContourSet(ax, levels, allsegs, [allkinds], **kwargs) Parameters ---------- ax : The `~.axes.Axes` object to draw on. 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``. The lists should look like:: level0segs = [polygon0, polygon1, ...] polygon0 = array_like [[x0,y0], [x1,y1], ...] allkinds : [level0kinds, level1kinds, ...], optional 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)``. The lists should look like:: 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]``. **kwargs Keyword arguments are as described in the docstring of `~axes.Axes.contour`. ulevelsufilledu linewidthsu linestylesuhatchesualphauoriginuextentucmapucolorsunormuvminuvmaxuextenduneitheru antialiasedunchunkiulocatoru.extend kwarg does not work yet with log scaleuloweruupperuimageu@If given, *origin* must be one of [ 'lower' | 'upper' | 'image']iu7If given, *extent* must be '[ *None* | (x0,x1,y0,y1) ]'u"Either colors or cmap must be Noneu image.originu transformiuminubothumaxRiumcoll.PathCollectionumcoll.LineCollectionu!linewidths is ignored by contourfuzordert antialiasedst edgecolorsunoneRRtzordertautolimit linewidthst linestylesu _nolegend_ttightu, u/The following kwargs were not used by contour: N(Nuloweruupperuimage(uminuboth(umaxuboth(LRRRR&R tfilledR!R"thatchesRtorigintextentR9Rt antialiasedtnchunktlocatorRotLogNormttickert LogLocatorR#tlogscaleR+R%tmpltrcParamst _transformt _process_argst_process_levelsRcRZR:t set_undertset_overR?RIRRDRGR;R<t__init__Rtvmintvmaxt_process_colorst_get_allsegs_and_allkindstallsegstallkindstwarningstwarnt_get_lowers_and_uppersRt _make_pathstmcolltPathCollectionR tadd_collectionR*t_process_linewidthst tlinewidthst_process_linestylestLineCollectiont set_labelt_minst_maxst sticky_edgesRRtupdate_datalimtautoscale_viewtchangedtjointmaptrepr(RRRKRLRRR7R8tncolorsti0t extend_mint extend_maxtuse_set_under_overt total_levelstkwtlowerstuppersRtlevelt level_uppertsegstkindsRtcolREt tlinestylestaatwidthtlstyleR((s1lib/python2.7/site-packages/matplotlib/contour.pyR6s-     $              +         +     !%  cC`sk|jdkr!|jj|_nCt|jtj rdt|jdrd|jj|j|_n|jS(up Return the :class:`~matplotlib.transforms.Transform` instance used by this ContourSet. u_as_mpl_transformN( R1RRRRot mtransformst TransformRtt_as_mpl_transform(R((s1lib/python2.7/site-packages/matplotlib/contour.pyR s cC`s|jj}d|d<|S(Nu_contour_generator(t__dict__tcopyR(Rtstate((s1lib/python2.7/site-packages/matplotlib/contour.pyt __getstate__s uxc 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(u Return a list of artists and labels suitable for passing through to :func:`plt.legend` which represent this ContourSet. The labels have the form "0 < x <= 1" stating the data ranges which the artists represent. Parameters ---------- variable_name : str The string used inside the inequality used on the labels. str_format : function: float -> str Function used to format the numbers in the labels. Returns ------- artists : List[`.Artist`] A list of the artists. labels : List[str] A list of the labels. iit facecolorthatchRuminubothu $%s \leq %s$umaxu $%s > %s$u$%s < %s \leq %s$u $%s = %s$(ii(uminuboth(umaxubothN(R$R?R%RR)Rtmpatchest Rectanglet get_facecolort get_hatcht get_alphaR*RR&RARGRt update_from(Rt variable_namet str_formattartistsRCRYRZtn_levelsRSt collectiontlowertuppertpatchR[((s1lib/python2.7/site-packages/matplotlib/contour.pytlegend_elementss> +        "   cO`s|d|_|d|_t|dkr6|dp9d|_tj|j|_tj|j|_ t |_ |j rt|jt|jdkrt dqn-t|jt|jkrt dn|jdk rt|jt|jkrt dng|jD]}|D] }|^q,q"}tj|dd}|jdd|_|jdd|_|S( u Process *args* and *kwargs*; override in derived classes. Must set self.levels, self.zmin and self.zmax, and update axes limits. iiiu-must be one less number of segments as levelsu)must be same number of segments as levelsu(allkinds has different length to allsegsRXN(R&R;R%RR<RtmaxtzmaxtmintzminR t_autoR$R+t concatenateRIRJ(RRKRLtsegRt flatseglisttpoints((s1lib/python2.7/site-packages/matplotlib/contour.pyR2Es&  %  ")cC`s|j|jfS(uv Override in derived classes to create and return allsegs and allkinds. allkinds can be None. (R;R<(R((s1lib/python2.7/site-packages/matplotlib/contour.pyR:iscC`ss|jd }|j|dkr\|j}|jrId|j|dR+R~R(RtzRKtfnRTt level_argtinside((s1lib/python2.7/site-packages/matplotlib/contour.pyt_contour_level_argss8     ! "6cC`st|j|_|jd krN|jjdt|jd|jdn|jd kr|jjt|jd|j dnt j |j|_|j s|j|_ dSd|jd |jd|_ |jd krd |j dtjdfg|}ntj|s]|g|}nit|}t||krt t j |t|}||}nt||kr|| }ng|D]}|f^q}|S(Nulines.linewidth( R!R%R&RR/R0R?R@R'RcRR(RR!tNlevREtnrepstw((s1lib/python2.7/site-packages/matplotlib/contour.pyRD%s     c C`sH|j}t|j}|dkrdg|}|jrDtjd}|j|j d}x9t |jD]%\}}||krl|||R(RRKRLRtNargsRRR((s1lib/python2.7/site-packages/matplotlib/contour.pyRs,        c C`s-|d \}}|jjd|d|d|}|jj|}|jj|}tj|dtj}tj|dtj}tj|ddtj}|jdkrt dnD|j ddks|j ddkrt d n|j \}}|j|jkr$t d n|jdkr|j \}|j \} ||krft d n| |krt d ntj ||\}}n|jdkr|j |j krt d j |j |j n|j |j kr t dj |j |j q n t d|||fS(u  For functions like contour, check that the dimensions of the input arrays match; if x and y are 1D, convert them to 2D using meshgrid. Possible change: I think we should make and use an ArgumentError Exception class (here and elsewhere). itxdatatydataRLRuInput z must be a 2D array.iiu%Input z must be at least a 2x2 array.u-Number of dimensions of x and y should match.u+Length of x must be number of columns in z.u(Length of y must be number of rows in z.u>Shape of x does not match that of z: found {0} instead of {1}.u>Shape of y does not match that of z: found {0} instead of {1}.u Inputs x and y must be 1D or 2D.( Rt_process_unit_infotconvert_xunitstconvert_yunitsRRRRtndimR-RtmeshgridR,( RRKRLRRRtNytNxtnxtny((s1lib/python2.7/site-packages/matplotlib/contour.pyR s> !&       c C`s|jdkrtdnD|jddksD|jddkrStdn|j\}}|jdkr|jdkrtjtj|tj|S|j\}}}}tj |||}tj |||} tj|| Sn|jdkr$d|d|f\}}}}n|j\}}}}|||} |||} |tj|d| }|tj|d| } |jdkr| ddd } ntj|| S( u 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. iuInput must be a 2D array.iiu%Input z must be at least a 2x2 array.g?uupperNi( RR-RR&RR'RRRtlinspace( RRRRtx0tx1ty0ty1RRRR((s1lib/python2.7/site-packages/matplotlib/contour.pyRDs, &"!u! Plot contours. Call signature:: contour([X, Y,] Z, [levels], **kwargs) :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. Parameters ---------- X, Y : array-like, optional The coordinates of the values in *Z*. *X* and *Y* must both be 2-D with the same shape as *Z* (e.g. created via :func:`numpy.meshgrid`), or they must both be 1-D such that ``len(X) == M`` is the number of columns in *Z* and ``len(Y) == N`` is the number of rows in *Z*. If not given, they are assumed to be integer indices, i.e. ``X = range(M)``, ``Y = range(N)``. Z : array-like(N, M) The height values over which the contour is drawn. levels : int or array-like, optional Determines the number and positions of the contour lines / regions. If an int *n*, use *n* data intervals; i.e. draw *n+1* contour lines. The level heights are automatically chosen. If array-like, draw contour lines at the specified levels. The values must be in increasing order. Returns ------- :class:`~matplotlib.contour.QuadContourSet` Other Parameters ---------------- corner_mask : bool, optional Enable/disable corner masking, which only has an effect if *Z* is a masked array. If ``False``, any quad touching a masked point is masked out. If ``True``, only the triangular corners of quads nearest those points are always masked out, other triangular corners comprising three unmasked points are contoured as usual. Defaults to ``rcParams['contour.corner_mask']``, which defaults to ``True``. colors : color string or sequence of colors, optional The colors of the levels, i.e. the lines for `.contour` and the areas for `.contourf`. The sequence is cycled for the levels in ascending order. If the sequence is shorter than the number of levels, it's repeated. As a shortcut, single color strings may be used in place of one-element lists, i.e. ``'red'`` instead of ``['red']`` to color all levels with the same color. This shortcut does only work for color strings, not for other ways of specifying colors. By default (value *None*), the colormap specified by *cmap* will be used. alpha : float, optional The alpha blending value, between 0 (transparent) and 1 (opaque). cmap : str or `.Colormap`, optional A `.Colormap` instance or registered colormap name. The colormap maps the level values to colors. Defaults to :rc:`image.cmap`. If given, *colors* take precedence over *cmap*. norm : `~matplotlib.colors.Normalize`, optional If a colormap is used, the `.Normalize` instance scales the level values to the canonical colormap range [0, 1] for mapping to colors. If not given, the default linear scaling is used. vmin, vmax : float, optional If not *None*, either or both of these values will be supplied to the `.Normalize` instance, overriding the default color scaling based on *levels*. origin : {*None*, 'upper', 'lower', 'image'}, optional Determines the orientation and exact position of *Z* by specifying the position of ``Z[0, 0]``. This is only relevant, if *X*, *Y* are not given. - *None*: ``Z[0, 0]`` is at X=0, Y=0 in the lower left corner. - 'lower': ``Z[0, 0]`` is at X=0.5, Y=0.5 in the lower left corner. - 'upper': ``Z[0, 0]`` is at X=N+0.5, Y=0.5 in the upper left corner. - 'image': Use the value from :rc:`image.origin`. Note: The value *None* in the rcParam is currently handled as 'lower'. extent : (x0, x1, y0, y1), optional 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 : ticker.Locator subclass, optional The locator is used to determine the contour levels if they are not given explicitly via *levels*. Defaults to `~.ticker.MaxNLocator`. extend : {'neither', 'both', 'min', 'max'}, optional 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 : registered units, optional Override axis units by specifying an instance of a :class:`matplotlib.units.ConversionInterface`. antialiased : bool, optinal Enable antialiasing, overriding the defaults. For filled contours, the default is *True*. For line contours, it is taken from :rc:`lines.antialiased`. Nchunk : int >= 0, optional If 0, no subdivision of the domain. Specify a positive integer to divide the domain into subdomains of *nchunk* by *nchunk* quads. Chunking reduces the maximum length of polygons generated by the contouring algorithm which reduces the rendering workload passed on to the backend and also requires slightly less RAM. It can however introduce rendering artifacts at chunk boundaries depending on the backend, the *antialiased* flag and value of *alpha*. linewidths : float or sequence of float, optional *Only applies to* `.contour`. The line width of the contour lines. If a number, all levels will be plotted with this linewidth. If a sequence, the levels in ascending order will be plotted with the linewidths in the order specified. Defaults to :rc:`lines.linewidth`. linestyles : {*None*, 'solid', 'dashed', 'dashdot', 'dotted'}, optional *Only applies to* `.contour`. If *linestyles* is *None*, the default is 'solid' unless the lines are monochrome. In that case, negative contours will take their linestyle from :rc:`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. hatches : List[str], optional *Only applies to* `.contourf`. 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. Notes ----- 1. :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`. 2. 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. 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