matplotlib.backends.backend_agg — Matplotlib 3.10.1 documentation (original) (raw)
An Anti-Grain Geometry (AGG) backend.
Features that are implemented:
- capstyles and join styles
- dashes
- linewidth
- lines, rectangles, ellipses
- clipping to a rectangle
- output to RGBA and Pillow-supported image formats
- alpha blending
- DPI scaling properly - everything scales properly (dashes, linewidths, etc)
- draw polygon
- freetype2 w/ ft2font
Still TODO:
- integrate screen dpi w/ ppi and text
matplotlib.backends.backend_agg.FigureCanvas[source]#
alias of FigureCanvasAgg
class matplotlib.backends.backend_agg.FigureCanvasAgg(figure=None)[source]#
Bases: FigureCanvasBase
Get the image as a memoryview to the renderer's buffer.
draw must be called at least once before this function will work and to update the renderer for any subsequent changes to the Figure.
Render the Figure.
This method must walk the artist tree, even if no output is produced, because it triggers deferred work that users may want to access before saving output to disk. For example computing limits, auto-limits, and tick values.
print_jpeg(filename_or_obj, *, metadata=None, pil_kwargs=None)[source]#
Write the figure to a JPEG file.
Parameters:
filename_or_objstr or path-like or file-like
The file to write to.
pil_kwargsdict, optional
Additional keyword arguments that are passed toPIL.Image.Image.save when saving the figure.
print_jpg(filename_or_obj, *, metadata=None, pil_kwargs=None)[source]#
Write the figure to a JPEG file.
Parameters:
filename_or_objstr or path-like or file-like
The file to write to.
pil_kwargsdict, optional
Additional keyword arguments that are passed toPIL.Image.Image.save when saving the figure.
print_png(filename_or_obj, *, metadata=None, pil_kwargs=None)[source]#
Write the figure to a PNG file.
Parameters:
filename_or_objstr or path-like or file-like
The file to write to.
metadatadict, optional
Metadata in the PNG file as key-value pairs of bytes or latin-1 encodable strings. According to the PNG specification, keys must be shorter than 79 chars.
The PNG specification defines some common keywords that may be used as appropriate:
- Title: Short (one line) title or caption for image.
- Author: Name of image's creator.
- Description: Description of image (possibly long).
- Copyright: Copyright notice.
- Creation Time: Time of original image creation (usually RFC 1123 format).
- Software: Software used to create the image.
- Disclaimer: Legal disclaimer.
- Warning: Warning of nature of content.
- Source: Device used to create the image.
- Comment: Miscellaneous comment; conversion from other image format.
Other keywords may be invented for other purposes.
If 'Software' is not given, an autogenerated value for Matplotlib will be used. This can be removed by setting it to None.
For more details see the PNG specification.
pil_kwargsdict, optional
Keyword arguments passed to PIL.Image.Image.save.
If the 'pnginfo' key is present, it completely overrides_metadata_, including the default 'Software' key.
print_raw(filename_or_obj, *, metadata=None)[source]#
print_rgba(filename_or_obj, *, metadata=None)[source]#
print_tif(filename_or_obj, *, metadata=None, pil_kwargs=None)[source]#
Write the figure to a TIFF file.
Parameters:
filename_or_objstr or path-like or file-like
The file to write to.
pil_kwargsdict, optional
Additional keyword arguments that are passed toPIL.Image.Image.save when saving the figure.
print_tiff(filename_or_obj, *, metadata=None, pil_kwargs=None)[source]#
Write the figure to a TIFF file.
Parameters:
filename_or_objstr or path-like or file-like
The file to write to.
pil_kwargsdict, optional
Additional keyword arguments that are passed toPIL.Image.Image.save when saving the figure.
print_webp(filename_or_obj, *, metadata=None, pil_kwargs=None)[source]#
Write the figure to a WebP file.
Parameters:
filename_or_objstr or path-like or file-like
The file to write to.
pil_kwargsdict, optional
Additional keyword arguments that are passed toPIL.Image.Image.save when saving the figure.
restore_region(region, bbox=None, xy=None)[source]#
Get the image as ARGB bytes.
draw must be called at least once before this function will work and to update the renderer for any subsequent changes to the Figure.
class matplotlib.backends.backend_agg.RendererAgg(width, height, dpi)[source]#
Bases: RendererBase
The renderer handles all the drawing primitives using a graphics context instance that controls the colors/styles
draw_mathtext(gc, x, y, s, prop, angle)[source]#
Draw mathtext using matplotlib.mathtext.
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, *, mtext=None)[source]#
Draw a TeX instance.
Parameters:
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 TeX text string.
propFontProperties
The font properties.
anglefloat
The rotation angle in degrees anti-clockwise.
mtextText
The original text object to be rendered.
draw_text(gc, x, y, s, prop, angle, ismath=False, mtext=None)[source]#
Draw a text instance.
Parameters:
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.
propFontProperties
The font properties.
anglefloat
The rotation angle in degrees anti-clockwise.
ismathbool or "TeX"
If True, use mathtext parser.
mtextText
The original text object to be rendered.
Notes
Notes for backend implementers:
RendererBase.draw_text also supports passing "TeX" to the _ismath_parameter to use TeX rendering, but this is not required for actual rendering backends, and indeed many builtin backends do not support this. Rather, TeX rendering is provided by draw_tex.
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.
Whitespace at the start and the end of s is included in the reported width.
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"].
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
Returns:
Points converted to pixels
restore_region(region, bbox=None, xy=None)[source]#
Restore the saved region. If bbox (instance of BboxBase, or its extents) is given, only the region specified by the bbox will be restored. xy (a pair of floats) optionally specifies the new position (the LLC of the original region, not the LLC of the bbox) where the region will be restored.
region = renderer.copy_from_bbox() x1, y1, x2, y2 = region.get_extents() renderer.restore_region(region, bbox=(x1+dx, y1, x2, y2), ... xy=(x1-dx, y1))
Start filtering. It simply creates a new canvas (the old one is saved).
stop_filter(post_processing)[source]#
Save the current canvas as an image and apply post processing.
The post_processing function:
def post_processing(image, dpi):
ny, nx, depth = image.shape
image (numpy array) has RGBA channels and has a depth of 4.
...
create a new_image (numpy array of 4 channels, size can be
different). The resulting image may have offsets from
lower-left corner of the original image
return new_image, offset_x, offset_y
The saved renderer is restored and the returned image from post_processing is plotted (using draw_image) on it.