You are reading documentation for the unreleased version of Matplotlib. Try searching for the released version of this page instead?
Applications are open for the 2018 John Hunter Matplotlib Summer Fellowship. Apply now!
Version 2.2.2.post1768+g23420a4c1
Fork me on GitHub



alias of matplotlib.backends.backend_svg.FigureCanvasSVG

class matplotlib.backends.backend_svg.FigureCanvasSVG(figure)[source]

Bases: matplotlib.backend_bases.FigureCanvasBase

filetypes = {'svg': 'Scalable Vector Graphics', 'svgz': 'Scalable Vector Graphics'}
fixed_dpi = 72

Get the default savefig file format as specified in rcParam savefig.format. Returned string excludes period. Overridden in backends that only support a single file type.

print_svg(filename, *args, **kwargs)[source]
print_svgz(filename, *args, **kwargs)[source]
class matplotlib.backends.backend_svg.RendererSVG(width, height, svgwriter, basename=None, image_dpi=72)[source]

Bases: matplotlib.backend_bases.RendererBase


Close a grouping element with label s Is only currently used by backend_svg

draw_gouraud_triangle(gc, points, colors, trans)[source]

Draw a Gouraud-shaded triangle.

points : array_like, shape=(3, 2)

Array of (x, y) points for the triangle.

colors : array_like, shape=(3, 4)

RGBA colors for each point of the triangle.

transform : matplotlib.transforms.Transform

An affine transform to apply to the points.

draw_gouraud_triangles(gc, triangles_array, colors_array, transform)[source]

Draws a series of Gouraud triangles.

points : array_like, shape=(N, 3, 2)

Array of N (x, y) points for the triangles.

colors : array_like, shape=(N, 3, 4)

Array of N RGBA colors for each point of the triangles.

transform : matplotlib.transforms.Transform

An affine transform to apply to the points.

draw_image(gc, x, y, im, transform=None)[source]

Draw an RGBA image.

gc : GraphicsContextBase

a graphics context with clipping information.

x : scalar

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

y : scalar

the distance in physical units (i.e., dots or pixels) from the bottom side of the canvas.

im : array_like, shape=(N, M, 4), dtype=np.uint8

An array of RGBA pixels.

transform : matplotlib.transforms.Affine2DBase

If and only if the concrete backend is written such that option_scale_image() returns True, an affine transformation may be passed to draw_image(). It takes the form of a Affine2DBase instance. 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]

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.

gc : GraphicsContextBase

The graphics context

marker_trans : matplotlib.transforms.Transform

An affine transform applied to the marker.

trans : matplotlib.transforms.Transform

An affine transform applied to the path.

draw_path(gc, path, transform, rgbFace=None)[source]

Draws 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]

Draws 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 may be either "screen" or "data" depending on the space that the offsets are in.

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, ismath='TeX!', mtext=None)[source]
draw_text(gc, x, y, s, prop, angle, ismath=False, mtext=None)[source]

Draw the text instance

gc : GraphicsContextBase

the graphics context

x : scalar

the x location of the text in display coords

y : scalar

the y location of the text baseline in display coords

s : str

the text string

prop : matplotlib.font_manager.FontProperties

font properties

angle : scalar

the rotation angle in degrees

mtext : matplotlib.text.Text

the original text object to be rendered


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

if 0: bbox_artist(self, renderer)

to if 1, and then the actual bounding box will be plotted along with your text.


Return true if y small numbers are top for renderer Is used for drawing text (matplotlib.text) and images (matplotlib.image) only


return the canvas width and height in display coords


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.

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

open_group(s, gid=None)[source]

Open a grouping element with label s. If gid is given, use gid as the id of the group.


return whether to generate a composite image from multiple images on a set of axes


override this method for renderers that support arbitrary affine transformations in draw_image() (most vector backends).

class matplotlib.backends.backend_svg.XMLWriter(file)[source]

Bases: object

element(tag, text=None, attrib={}, **extra)[source]
end(tag=None, indent=True)[source]
start(tag, attrib={}, **extra)[source]

Create a short string representation of a float, which is %f formatting with trailing zeros and the decimal point removed.