-Phj9rddlZddlZddlmZddlmZddlZddlZ ddlm Z ddl m Z Gdde ZdS) N)contextmanager)Version) transforms)utilscReZdZedZedZedZedZedZ edZ e dZ e dZ e d Zd Zd Zd Zd ZdZdZ ddZddZedZ ddZddZ ddZ ddZddZdS)RenderercHt|o|SN)bool get_navigateaxs n/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/plotly/matplotlylib/mplexporter/renderers/base.py ax_zoomablezRenderer.ax_zoomablesB,2??,,---cjt|o$|jjo|jSr )r xaxis _gridOnMajoryaxis get_gridlinesrs r ax_has_xgridzRenderer.ax_has_xgrid-BM280MRX5K5K5M5MNNNrcjt|o$|jjo|jSr )r rrrrs r ax_has_ygridzRenderer.ax_has_ygridrrc6||jSr )r _current_axselfs rcurrent_ax_zoomablezRenderer.current_ax_zoomables 0111rc6||jSr )rrrs rcurrent_ax_has_xgridzRenderer.current_ax_has_xgrid  !1222rc6||jSr )rrrs rcurrent_ax_has_ygridzRenderer.current_ax_has_ygrid"r#rc#Kt|dr|jtjd||_||_|||dV||d|_i|_dS)N _current_figz-figure embedded in figure: something is wrong)figprops)r()hasattrr'warningswarn _fig_props open_figure close_figurerr(r)s r draw_figurezRenderer.draw_figure&s 4 ( ( KT->-J MI J J J S...  c""" rc#Kt|dr|jtjd||_||_|||dV||d|_i|_dS)Nrz)axes embedded in axes: something is wrong)rr)r)r*rr+r, _ax_props open_axes close_axesrrr)s r draw_axeszRenderer.draw_axes2s 4 ' ' GD,<,H ME F F F "E***  2rc#K||_||_|||dV||d|_i|_dS)N)legendr))r9)_current_legend _legend_props open_legend close_legendrr9r)s r draw_legendzRenderer.draw_legend>se%" e444  (((#rcdS)a Begin commands for a particular figure. Parameters ---------- fig : matplotlib.Figure The Figure which will contain the ensuing axes and elements props : dictionary The dictionary of figure properties Nr0s rr.zRenderer.open_figureJ  rcdS)z Finish commands for a particular figure. Parameters ---------- fig : matplotlib.Figure The figure which is finished being drawn. NrA)rr(s rr/zRenderer.close_figureW  rcdS)a  Begin commands for a particular axes. Parameters ---------- ax : matplotlib.Axes The Axes which will contain the ensuing axes and elements props : dictionary The dictionary of axes properties NrAr6s rr4zRenderer.open_axesbrBrcdS)z Finish commands for a particular axes. Parameters ---------- ax : matplotlib.Axes The Axes which is finished being drawn. NrA)rrs rr5zRenderer.close_axesorDrcdS)a Beging commands for a particular legend. Parameters ---------- legend : matplotlib.legend.Legend The Legend that will contain the ensuing elements props : dictionary The dictionary of legend properties NrAr>s rr<zRenderer.open_legendzrBrcdS)z Finish commands for a particular legend. Parameters ---------- legend : matplotlib.legend.Legend The Legend which is finished being drawn NrA)rr9s rr=zRenderer.close_legendrDrNcv||||||||||||||dSdS)aDraw a line that also has markers. If this isn't reimplemented by a renderer object, by default, it will make a call to BOTH draw_line and draw_markers when both markerstyle and linestyle are not None in the same Line2D object. N) draw_line draw_markers)rdata coordinates linestyle markerstylelabelmplobjs rdraw_marked_linezRenderer.draw_marked_linesT  NN4i G G G  "   dKeV L L L L L # "rcdg|jddz dgzz}td ddi|}|d|d<|d |d <|||||| d S)a Draw a line. By default, draw the line via the draw_path() command. Some renderers might wish to override this and provide more fine-grained behavior. In matplotlib, lines are generally created via the plt.plot() command, though this command also can create marker collections. Parameters ---------- data : array_like A shape (N, 2) array of datapoints. coordinates : string A string code, which should be either 'data' for data coordinates, or 'figure' for figure (pixel) coordinates. style : dictionary a dictionary specifying the appearance of the line. mplobj : matplotlib object the matplotlib plot element which generated this line MrL facecolornonecolor edgecolor linewidth edgewidth)rLrM pathcodesstylerQNrA)shapedictpop draw_path)rrLrMr^rPrQr] pathstyles rrJzRenderer.draw_lines*ETZ]Q.3%77 3363U33 !*w!7!7 +!*{!;!; + #      rctt|t|}ttjtdkr|t jdg}|d}t j|dkrdg}|d}t j|dkrdg}|||||d|g}t}| tt|j ||S) z:Build an iterator over the elements of the path collectionz1.4.0NrZrrXrWr[) maxlenrmpl __version__npeyesize itertoolsislicezipmapcycle) pathspath_transformsoffsetsstylesNrZrWelementsits r_iter_path_collectionzRenderer._iter_path_collections E CLL ) ) 3? # #gg&6&6 6 6&#%6!99+;' 79   " "I;' 79   " "I     ;    yyc"(H556:::rc |dkrtd|||||D]} | \} } } } }}| \}}tj| } | |}|dkrd}t j| t j||d|d|dd}|||||| || d S) aZ Draw a collection of paths. The paths, offsets, and styles are all iterables, and the number of paths is max(len(paths), len(offsets)). By default, this is implemented via multiple calls to the draw_path() function. For efficiency, Renderers may choose to customize this implementation. Examples of path collections created by matplotlib are scatter plots, histograms, contour plots, and many others. Parameters ---------- paths : list list of tuples, where each tuple has two elements: (data, pathcodes). See draw_path() for a description of these. path_coordinates: string the coordinates code for the paths, which should be either 'data' for data coordinates, or 'figure' for figure (pixel) coordinates. path_transforms: array_like an array of shape (*, 3, 3), giving a series of 2D Affine transforms for the paths. These encode translations, rotations, and scalings in the standard way. offsets: array_like An array of offsets of shape (N, 2) offset_coordinates : string the coordinates code for the offsets, which should be either 'data' for data coordinates, or 'figure' for figure (pixel) coordinates. offset_order : string either "before" or "after". This specifies whether the offset is applied before the path transform, or after. The matplotlib backend equivalent is "before"->"data", "after"->"screen". styles: dictionary A dictionary in which each value is a list of length N, containing the style(s) for the paths. mplobj : matplotlib object the matplotlib plot element which generated this collection beforezoffset before transformfigurepoints10,0alphazorder)rZrWr\ dasharrayrrrLrMr]r^offsetoffset_coordinatesrQN)NotImplementedErrorryrAffine2D transformr export_colorrb)rrrpath_coordinatesrsrtr offset_orderrurQtuppathpath_transformreclwfcverticesr]r^s rdraw_path_collectionzRenderer.draw_path_collectionsf 8 # #%&?@@ @--e_gvVV  C9< 6T>62r2"& Hi'0@@N%//99H8++#+ "/33"/33# * E NN,##5     !  rc d\}}tfddD}d|d<|D]} ||d||| ||dS) a Draw a set of markers. By default, this is done by repeatedly calling draw_path(), but renderers should generally overload this method to provide a more efficient implementation. In matplotlib, markers are created using the plt.plot() command. Parameters ---------- data : array_like A shape (N, 2) array of datapoints. coordinates : string A string code, which should be either 'data' for data coordinates, or 'figure' for figure (pixel) coordinates. style : dictionary a dictionary specifying the appearance of the markers. mplobj : matplotlib object the matplotlib plot element which generated this marker collection markerpathc3,K|]}||fVdSr rA).0keyr^s r z(Renderer.draw_markers..Es@  %*       r)rrZrWrr\r~rr}rN)r`rb) rrLrMr^rPrQrr]rcvertexs ` rrKzRenderer.draw_markers0s($L1)    Q     "( +  F NN$##.       rct)a Draw text on the image. Parameters ---------- text : string The text to draw position : tuple The (x, y) position of the text coordinates : string A string code, which should be either 'data' for data coordinates, or 'figure' for figure (pixel) coordinates. style : dictionary a dictionary specifying the appearance of the text. text_type : string or None if specified, a type of text such as "xlabel", "ylabel", "title" mplobj : matplotlib object the matplotlib plot element which generated this text r)rtextpositionrMr^ text_typerQs r draw_textzRenderer.draw_textUs,"###rrLct)a Draw a path. In matplotlib, paths are created by filled regions, histograms, contour plots, patches, etc. Parameters ---------- data : array_like A shape (N, 2) array of datapoints. coordinates : string A string code, which should be either 'data' for data coordinates, 'figure' for figure (pixel) coordinates, or "points" for raw point coordinates (useful in conjunction with offsets, below). pathcodes : list A list of single-character SVG pathcodes associated with the data. Path codes are one of ['M', 'm', 'L', 'l', 'Q', 'q', 'T', 't', 'S', 's', 'C', 'c', 'Z', 'z'] See the SVG specification for details. Note that some path codes consume more than one datapoint (while 'Z' consumes none), so in general, the length of the pathcodes list will not be the same as that of the data array. style : dictionary a dictionary specifying the appearance of the line. offset : list (optional) the (x, y) offset of the path. If not given, no offset will be used. offset_coordinates : string (optional) A string code, which should be either 'data' for data coordinates, or 'figure' for figure (pixel) coordinates. mplobj : matplotlib object the matplotlib plot element which generated this path r)rrLrMr]r^rrrQs rrbzRenderer.draw_pathmsV"###rct)aV Draw an image. Parameters ---------- imdata : string base64 encoded png representation of the image extent : list the axes extent of the image: [xmin, xmax, ymin, ymax] coordinates: string A string code, which should be either 'data' for data coordinates, or 'figure' for figure (pixel) coordinates. style : dictionary a dictionary specifying the appearance of the image mplobj : matplotlib object the matplotlib plot object which generated this image r)rimdataextentrMr^rQs r draw_imagezRenderer.draw_images$"###rr )NN)NrLN)__name__ __module__ __qualname__ staticmethodrrrpropertyr r"r%rr1r7r?r.r/r4r5r<r=rRrJryrrKrrbrrArrr r s7..\.OO\OOO\O22X233X333X3  ^   ^   ^                         HL M M M M    B;;\;LNNNN`####LJN$$$$<!+$+$+$+$Z$$$$$$rr )r+rm contextlibrpackaging.versionrnumpyrj matplotlibrhrrobjectr rArrrs%%%%%%%%%%%%!!!!!!_$_$_$_$_$v_$_$_$_$_$r