classmatplotlib.backends.backend_pgf.RendererPgf(figure, fh)[source]
 
Bases: matplotlib.backend_bases.RendererBase Create a new PGF renderer that translates any drawing instruction into text commands to be interpreted in a latex pgfpicture environment.  Attributes 
 
figurematplotlib.figure.Figure


Matplotlib figure to initialize height, width and dpi from.  
fhfile-like


File handle for the output of the drawing commands.       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_path(gc, path, transform, rgbFace=None)[source]
 
Draw a Path instance using the given affine transform. 
   draw_tex(gc, x, y, s, prop, angle, ismath='TeX', 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. 
   flipy()[source]
 
Return whether y values increase from top to bottom. Note that this only affects drawing of texts and images. 
   get_canvas_width_height()[source]
 
Return the canvas width and height in display coords. 
   get_text_width_height_descent(s, prop, ismath)[source]
 
Get the width, height, and descent (offset from the bottom to the baseline), in display coords, of the string s with FontProperties prop. 
   option_image_nocomposite()[source]
 
Return whether image composition by Matplotlib should be skipped. Raster backends should usually return False (letting the C-level rasterizer take care of image composition); vector backends should usually return not rcParams["image.composite_image"]. 
   option_scale_image()[source]
 
Return whether arbitrary affine transformations in draw_image() are supported (True for most vector backends). 
   points_to_pixels(points)[source]
 
Convert points to display units. You need to override this function (unless your backend doesn't have a dpi, e.g., postscript or svg). Some imaging systems assume some value for pixels per inch: points to pixels = points * pixels_per_inch/72 * dpi/72
  Parameters 
 
pointsfloat or array-like


a float or a numpy array of float    Returns 
 Points converted to pixels