backend_ps A PostScript backend, which can produce both PostScript .ps and .eps.   matplotlib.backends.backend_ps.FigureCanvas[source]
 
alias of matplotlib.backends.backend_ps.FigureCanvasPS 
   classmatplotlib.backends.backend_ps.FigureCanvasPS(figure=None)[source]
 
Bases: matplotlib.backend_bases.FigureCanvasBase   draw()[source]
 
Render the Figure. It is important that this method actually walk the artist tree even if not output is produced because this will trigger deferred work (like computing limits auto-limits and tick values) that users may want access to before saving to disk. 
   filetypes={'eps': 'Encapsulated Postscript', 'ps': 'Postscript'}

   fixed_dpi=72

   get_default_filetype()[source]
 
Return the default savefig file format as specified in rcParams["savefig.format"] (default: 'png'). The returned string does not include a period. This method is overridden in backends that only support a single file type. 
   print_eps(outfile, *args, **kwargs)[source]

   print_ps(outfile, *args, **kwargs)[source]

 
   classmatplotlib.backends.backend_ps.GraphicsContextPS[source]
 
Bases: matplotlib.backend_bases.GraphicsContextBase [Deprecated] Notes  Deprecated since version 3.4:     get_capstyle()[source]
 
Return the CapStyle. 
   get_joinstyle()[source]
 
Return the JoinStyle. 
 
   classmatplotlib.backends.backend_ps.PsBackendHelper[source]
 
Bases: object 
   classmatplotlib.backends.backend_ps.RendererPS(width, height, pswriter, imagedpi=72)[source]
 
Bases: matplotlib.backends._backend_pdf_ps.RendererPDFPSBase The renderer handles all the drawing primitives using a graphics context instance that controls the colors/styles.   create_hatch(hatch)[source]

   draw_gouraud_triangle(gc, points, colors, trans)[source]
 
Draw a Gouraud-shaded triangle.  Parameters 
 
gcGraphicsContextBase


The graphics context.  
points(3, 2) array-like


Array of (x, y) points for the triangle.  
colors(3, 4) array-like


RGBA colors for each point of the triangle.  
transformmatplotlib.transforms.Transform


An affine transform to apply to the points.     
   draw_gouraud_triangles(gc, points, colors, trans)[source]
 
Draw a series of Gouraud triangles.  Parameters 
 
points(N, 3, 2) array-like


Array of N (x, y) points for the triangles.  
colors(N, 3, 4) array-like


Array of N RGBA colors for each point of the triangles.  
transformmatplotlib.transforms.Transform


An affine transform to apply to the points.     
   draw_image(gc, x, y, im, transform=None)[source]
 
Draw an RGBA image.  Parameters 
 
gcGraphicsContextBase


A graphics context with clipping information.  
xscalar


The distance in physical units (i.e., dots or pixels) from the left hand side of the canvas.  
yscalar


The distance in physical units (i.e., dots or pixels) from the bottom side of the canvas.  
im(N, M, 4) array-like of np.uint8


An array of RGBA pixels.  
transformmatplotlib.transforms.Affine2DBase


If and only if the concrete backend is written such that option_scale_image() returns True, an affine transformation (i.e., an Affine2DBase) may be passed to draw_image(). The translation vector of the transformation is given in physical units (i.e., dots or pixels). Note that the transformation does not override x and y, and has to be applied before translating the result by x and y (this can be accomplished by adding x and y to the translation vector defined by transform).     
   draw_markers(gc, marker_path, marker_trans, path, trans, rgbFace=None)[source]
 
Draw a marker at each of path's vertices (excluding control points). This provides a fallback implementation of draw_markers that makes multiple calls to draw_path(). Some backends may want to override this method in order to draw the marker only once and reuse it multiple times.  Parameters 
 
gcGraphicsContextBase


The graphics context.  
marker_transmatplotlib.transforms.Transform


An affine transform applied to the marker.  
transmatplotlib.transforms.Transform


An affine transform applied to the path.     
   draw_mathtext(gc, x, y, s, prop, angle)[source]
 
Draw the math text using matplotlib.mathtext. 
   draw_path(gc, path, transform, rgbFace=None)[source]
 
Draw a Path instance using the given affine transform. 
   draw_path_collection(gc, master_transform, paths, all_transforms, offsets, offsetTrans, facecolors, edgecolors, linewidths, linestyles, antialiaseds, urls, offset_position)[source]
 
Draw a collection of paths selecting drawing properties from the lists facecolors, edgecolors, linewidths, linestyles and antialiaseds. offsets is a list of offsets to apply to each of the paths. The offsets in offsets are first transformed by offsetTrans before being applied. offset_position is unused now, but the argument is kept for backwards compatibility. This provides a fallback implementation of draw_path_collection() that makes multiple calls to draw_path(). Some backends may want to override this in order to render each set of path data only once, and then reference that path multiple times with the different offsets, colors, styles etc. The generator methods _iter_collection_raw_paths() and _iter_collection() are provided to help with (and standardize) the implementation across backends. It is highly recommended to use those generators, so that changes to the behavior of draw_path_collection() can be made globally. 
   draw_tex(gc, x, y, s, prop, angle, *, mtext=None)[source]

   draw_text(gc, x, y, s, prop, angle, ismath=False, mtext=None)[source]
 
Draw the text instance.  Parameters 
 
gcGraphicsContextBase


The graphics context.  
xfloat


The x location of the text in display coords.  
yfloat


The y location of the text baseline in display coords.  
sstr


The text string.  
propmatplotlib.font_manager.FontProperties


The font properties.  
anglefloat


The rotation angle in degrees anti-clockwise.  
mtextmatplotlib.text.Text


The original text object to be rendered.     Notes Note for backend implementers: When you are trying to determine if you have gotten your bounding box right (which is what enables the text layout/alignment to work properly), it helps to change the line in text.py: if 0: bbox_artist(self, renderer)
 to if 1, and then the actual bounding box will be plotted along with your text. 
   get_image_magnification()[source]
 
Get the factor by which to magnify images passed to draw_image. Allows a backend to have images at a different resolution to other artists. 
   propertymathtext_parser[source]

   set_color(r, g, b, store=True)[source]

   set_font(fontname, fontsize, store=True)[source]

   set_linecap(linecap, store=True)[source]

   set_linedash(offset, seq, store=True)[source]

   set_linejoin(linejoin, store=True)[source]

   set_linewidth(linewidth, store=True)[source]

 
   matplotlib.backends.backend_ps.convert_psfrags(tmpfile, psfrags, font_preamble, custom_preamble, paper_width, paper_height, orientation)[source]
 
When we want to use the LaTeX backend with postscript, we write PSFrag tags to a temporary postscript file, each one marking a position for LaTeX to render some text. convert_psfrags generates a LaTeX document containing the commands to convert those tags to text. LaTeX/dvips produces the postscript file that includes the actual text. 
   matplotlib.backends.backend_ps.get_bbox_header(lbrt, rotated=False)[source]
 
Return a postscript header string for the given bbox lbrt=(l, b, r, t). Optionally, return rotate command. 
   matplotlib.backends.backend_ps.gs_distill(tmpfile, eps=False, ptype='letter', bbox=None, rotated=False)[source]
 
Use ghostscript's pswrite or epswrite device to distill a file. This yields smaller files without illegal encapsulated postscript operators. The output is low-level, converting text to outlines. 
   matplotlib.backends.backend_ps.pstoeps(tmpfile, bbox=None, rotated=False)[source]
 
Convert the postscript to encapsulated postscript. The bbox of the eps file will be replaced with the given bbox argument. If None, original bbox will be used. 
   matplotlib.backends.backend_ps.quote_ps_string(s)[source]
 
Quote dangerous characters of S for use in a PostScript string constant. 
   matplotlib.backends.backend_ps.xpdf_distill(tmpfile, eps=False, ptype='letter', bbox=None, rotated=False)[source]
 
Use ghostscript's ps2pdf and xpdf's/poppler's pdftops to distill a file. This yields smaller files without illegal encapsulated postscript operators. This distiller is preferred, generating high-level postscript output that treats text as text.