matplotlib.backends.backend_cairo
A Cairo backend for matplotlib
Author: | Steve Chaplin and others |
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This backend depends on cairo, and either on cairocffi, or (Python 2 only) on pycairo.
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class matplotlib.backends.backend_cairo.ArrayWrapper(myarray)
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Bases:
object
Thin wrapper around numpy ndarray to expose the interface expected by cairocffi. Basically replicates the array.array interface.
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buffer_info()
[source]
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matplotlib.backends.backend_cairo.FigureCanvas
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alias of
matplotlib.backends.backend_cairo.FigureCanvasCairo
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class matplotlib.backends.backend_cairo.FigureCanvasCairo(figure)
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Bases:
matplotlib.backend_bases.FigureCanvasBase
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print_pdf(fobj, *args, **kwargs)
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print_png(fobj, *args, **kwargs)
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print_ps(fobj, *args, **kwargs)
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print_svg(fobj, *args, **kwargs)
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print_svgz(fobj, *args, **kwargs)
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supports_blit = False
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class matplotlib.backends.backend_cairo.GraphicsContextCairo(renderer)
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Bases:
matplotlib.backend_bases.GraphicsContextBase
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get_rgb()
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returns a tuple of three or four floats from 0-1.
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restore()
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Restore the graphics context from the stack - needed only for backends that save graphics contexts on a stack
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set_alpha(alpha)
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Set the alpha value used for blending - not supported on all backends. If
alpha=None
(the default), the alpha components of the foreground and fill colors will be used to set their respective transparencies (where applicable); otherwise,alpha
will override them.
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set_capstyle(cs)
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Set the capstyle as a string in ('butt', 'round', 'projecting')
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set_clip_path(path)
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Set the clip path and transformation. Path should be a
TransformedPath
instance.
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set_clip_rectangle(rectangle)
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Set the clip rectangle with sequence (left, bottom, width, height)
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set_dashes(offset, dashes)
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Set the dash style for the gc.
Parameters: -
dash_offset : float
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is the offset (usually 0).
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dash_list : array_like
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specifies the on-off sequence as points.
(None, None)
specifies a solid line
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set_foreground(fg, isRGBA=None)
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Set the foreground color. fg can be a MATLAB format string, a html hex color string, an rgb or rgba unit tuple, or a float between 0 and 1. In the latter case, grayscale is used.
If you know fg is rgba, set
isRGBA=True
for efficiency.
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set_joinstyle(js)
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Set the join style to be one of ('miter', 'round', 'bevel')
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set_linewidth(w)
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Set the linewidth in points
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class matplotlib.backends.backend_cairo.RendererCairo(dpi)
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Bases:
matplotlib.backend_bases.RendererBase
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static convert_path(ctx, path, transform, clip=None)
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draw_image(gc, x, y, im)
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Draw an RGBA image.
Parameters: -
gc : GraphicsContextBase
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a graphics context with clipping information.
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x : scalar
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the distance in physical units (i.e., dots or pixels) from the left hand side of the canvas.
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y : scalar
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the distance in physical units (i.e., dots or pixels) from the bottom side of the canvas.
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im : array_like, shape=(N, M, 4), dtype=np.uint8
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An array of RGBA pixels.
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transform : matplotlib.transforms.Affine2DBase
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If and only if the concrete backend is written such that
option_scale_image()
returnsTrue
, an affine transformation may be passed todraw_image()
. It takes the form of aAffine2DBase
instance. The translation vector of the transformation is given in physical units (i.e., dots or pixels). Note that the transformation does not overridex
andy
, and has to be applied before translating the result byx
andy
(this can be accomplished by addingx
andy
to the translation vector defined bytransform
).
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draw_markers(gc, marker_path, marker_trans, path, transform, rgbFace=None)
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Draws a marker at each of the vertices in path. This includes all vertices, including control points on curves. To avoid that behavior, those vertices should be removed before calling this function.
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: -
gc : GraphicsContextBase
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The graphics context
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marker_trans : matplotlib.transforms.Transform
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An affine transform applied to the marker.
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trans : matplotlib.transforms.Transform
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An affine transform applied to the path.
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draw_path(gc, path, transform, rgbFace=None)
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Draws a
Path
instance using the given affine transform.
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draw_text(gc, x, y, s, prop, angle, ismath=False, mtext=None)
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Draw the text instance
Parameters: -
gc : GraphicsContextBase
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the graphics context
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x : scalar
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the x location of the text in display coords
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y : scalar
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the y location of the text baseline in display coords
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s : str
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the text string
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prop : matplotlib.font_manager.FontProperties
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font properties
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angle : scalar
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the rotation angle in degrees
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mtext : matplotlib.text.Text
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the original text object to be rendered
Notes
backend implementers note
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.
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fontangles = {'italic': <MyCairoCffi name='mock.FONT_SLANT_ITALIC' id='139831684338520'>, 'normal': <MyCairoCffi name='mock.FONT_SLANT_NORMAL' id='139831684351032'>, 'oblique': <MyCairoCffi name='mock.FONT_SLANT_OBLIQUE' id='139831684367584'>}
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fontweights = {100: <MyCairoCffi name='mock.FONT_WEIGHT_NORMAL' id='139831685276504'>, 200: <MyCairoCffi name='mock.FONT_WEIGHT_NORMAL' id='139831685276504'>, 300: <MyCairoCffi name='mock.FONT_WEIGHT_NORMAL' id='139831685276504'>, 400: <MyCairoCffi name='mock.FONT_WEIGHT_NORMAL' id='139831685276504'>, 500: <MyCairoCffi name='mock.FONT_WEIGHT_NORMAL' id='139831685276504'>, 600: <MyCairoCffi name='mock.FONT_WEIGHT_BOLD' id='139831684321912'>, 700: <MyCairoCffi name='mock.FONT_WEIGHT_BOLD' id='139831684321912'>, 800: <MyCairoCffi name='mock.FONT_WEIGHT_BOLD' id='139831684321912'>, 900: <MyCairoCffi name='mock.FONT_WEIGHT_BOLD' id='139831684321912'>, 'ultralight': <MyCairoCffi name='mock.FONT_WEIGHT_NORMAL' id='139831685276504'>, 'light': <MyCairoCffi name='mock.FONT_WEIGHT_NORMAL' id='139831685276504'>, 'normal': <MyCairoCffi name='mock.FONT_WEIGHT_NORMAL' id='139831685276504'>, 'medium': <MyCairoCffi name='mock.FONT_WEIGHT_NORMAL' id='139831685276504'>, 'regular': <MyCairoCffi name='mock.FONT_WEIGHT_NORMAL' id='139831685276504'>, 'semibold': <MyCairoCffi name='mock.FONT_WEIGHT_BOLD' id='139831684321912'>, 'bold': <MyCairoCffi name='mock.FONT_WEIGHT_BOLD' id='139831684321912'>, 'heavy': <MyCairoCffi name='mock.FONT_WEIGHT_BOLD' id='139831684321912'>, 'ultrabold': <MyCairoCffi name='mock.FONT_WEIGHT_BOLD' id='139831684321912'>, 'black': <MyCairoCffi name='mock.FONT_WEIGHT_BOLD' id='139831684321912'>}
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get_canvas_width_height()
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return the canvas width and height in display coords
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get_text_width_height_descent(s, prop, ismath)
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Get the width, height, and descent (offset from the bottom to the baseline), in display coords, of the string s with
FontProperties
prop
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new_gc()
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Return an instance of a
GraphicsContextBase
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points_to_pixels(points)
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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/72.0 * dpi/72.0
Parameters: -
points : scalar or array_like
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a float or a numpy array of float
Returns: - Points converted to pixels
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set_ctx_from_surface(surface)
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set_width_height(width, height)
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© 2012–2018 Matplotlib Development Team. All rights reserved.
Licensed under the Matplotlib License Agreement.
https://matplotlib.org/2.2.3/api/backend_cairo_api.html