doc_content stringlengths 1 386k | doc_id stringlengths 5 188 |
|---|---|
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 p... | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.RendererSVG.draw_image |
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 mark... | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.RendererSVG.draw_markers |
draw_path(gc, path, transform, rgbFace=None)[source]
Draw a Path instance using the given affine transform. | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.RendererSVG.draw_path |
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. o... | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.RendererSVG.draw_path_collection |
draw_tex(gc, x, y, s, prop, angle, *, mtext=None)[source] | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.RendererSVG.draw_tex |
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.
propmatplotl... | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.RendererSVG.draw_text |
finalize()[source] | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.RendererSVG.finalize |
flipy()[source]
Return whether y values increase from top to bottom. Note that this only affects drawing of texts and images. | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.RendererSVG.flipy |
get_canvas_width_height()[source]
Return the canvas width and height in display coords. | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.RendererSVG.get_canvas_width_height |
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. | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.RendererSVG.get_image_magnification |
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. | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.RendererSVG.get_text_width_height_descent |
open_group(s, gid=None)[source]
Open a grouping element with label s and gid (if set) as id. Only used by the SVG renderer. | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.RendererSVG.open_group |
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"]. | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.RendererSVG.option_image_nocomposite |
option_scale_image()[source]
Return whether arbitrary affine transformations in draw_image() are supported (True for most vector backends). | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.RendererSVG.option_scale_image |
matplotlib.backends.backend_svg.short_float_fmt(x)[source]
Create a short string representation of a float, which is %f formatting with trailing zeros and the decimal point removed. | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.short_float_fmt |
classmatplotlib.backends.backend_svg.XMLWriter(file)[source]
Bases: object Parameters
filewritable text file-like object
close(id)[source]
Close open elements, up to (and including) the element identified by the given identifier. Parameters
id
Element identifier, as returned by the start() method. ... | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.XMLWriter |
close(id)[source]
Close open elements, up to (and including) the element identified by the given identifier. Parameters
id
Element identifier, as returned by the start() method. | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.XMLWriter.close |
comment(comment)[source]
Add a comment to the output stream. Parameters
commentstr
Comment text. | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.XMLWriter.comment |
data(text)[source]
Add character data to the output stream. Parameters
textstr
Character data. | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.XMLWriter.data |
element(tag, text=None, attrib={}, **extra)[source]
Add an entire element. This is the same as calling start(), data(), and end() in sequence. The text argument can be omitted. | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.XMLWriter.element |
end(tag=None, indent=True)[source]
Close the current element (opened by the most recent call to start()). Parameters
tag
Element tag. If given, the tag must match the start tag. If omitted, the current element is closed. | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.XMLWriter.end |
flush()[source]
Flush the output stream. | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.XMLWriter.flush |
start(tag, attrib={}, **extra)[source]
Open a new element. Attributes can be given as keyword arguments, or as a string/string dictionary. The method returns an opaque identifier that can be passed to the close() method, to close all open elements up to and including this one. Parameters
tag
Element tag. attrib
... | matplotlib.backend_svg_api#matplotlib.backends.backend_svg.XMLWriter.start |
matplotlib.backends.backend_template.draw_if_interactive()[source]
For image backends - is not required. For GUI backends - this should be overridden if drawing should be done in interactive python mode. | matplotlib.backend_template_api#matplotlib.backends.backend_template.draw_if_interactive |
matplotlib.backends.backend_template.FigureCanvas[source]
alias of matplotlib.backends.backend_template.FigureCanvasTemplate | matplotlib.backend_template_api#matplotlib.backends.backend_template.FigureCanvas |
classmatplotlib.backends.backend_template.FigureCanvasTemplate(figure=None)[source]
Bases: matplotlib.backend_bases.FigureCanvasBase The canvas the figure renders into. Calls the draw and print fig methods, creates the renderers, etc. Note: GUI templates will want to connect events for button presses, mouse movements... | matplotlib.backend_template_api#matplotlib.backends.backend_template.FigureCanvasTemplate |
draw()[source]
Draw the figure using the renderer. 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. | matplotlib.backend_template_api#matplotlib.backends.backend_template.FigureCanvasTemplate.draw |
filetypes={'eps': 'Encapsulated Postscript', 'foo': 'My magic Foo format', 'jpeg': 'Joint Photographic Experts Group', 'jpg': 'Joint Photographic Experts Group', 'pdf': 'Portable Document Format', 'pgf': 'PGF code for LaTeX', 'png': 'Portable Network Graphics', 'ps': 'Postscript', 'raw': 'Raw RGBA bitmap', 'rgba': 'Raw... | matplotlib.backend_template_api#matplotlib.backends.backend_template.FigureCanvasTemplate.filetypes |
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. | matplotlib.backend_template_api#matplotlib.backends.backend_template.FigureCanvasTemplate.get_default_filetype |
print_foo(filename, *args, **kwargs)[source]
Write out format foo. This method is normally called via Figure.savefig and FigureCanvasBase.print_figure, which take care of setting the figure facecolor, edgecolor, and dpi to the desired output values, and will restore them to the original values. Therefore, print_foo d... | matplotlib.backend_template_api#matplotlib.backends.backend_template.FigureCanvasTemplate.print_foo |
matplotlib.backends.backend_template.FigureManager[source]
alias of matplotlib.backends.backend_template.FigureManagerTemplate | matplotlib.backend_template_api#matplotlib.backends.backend_template.FigureManager |
classmatplotlib.backends.backend_template.FigureManagerTemplate(canvas, num)[source]
Bases: matplotlib.backend_bases.FigureManagerBase Helper class for pyplot mode, wraps everything up into a neat bundle. For non-interactive backends, the base class is sufficient. | matplotlib.backend_template_api#matplotlib.backends.backend_template.FigureManagerTemplate |
classmatplotlib.backends.backend_template.GraphicsContextTemplate[source]
Bases: matplotlib.backend_bases.GraphicsContextBase The graphics context provides the color, line styles, etc... See the cairo and postscript backends for examples of mapping the graphics context attributes (cap styles, join styles, line widths... | matplotlib.backend_template_api#matplotlib.backends.backend_template.GraphicsContextTemplate |
matplotlib.backends.backend_template.new_figure_manager(num, *args, FigureClass=<class 'matplotlib.figure.Figure'>, **kwargs)[source]
Create a new figure manager instance. | matplotlib.backend_template_api#matplotlib.backends.backend_template.new_figure_manager |
matplotlib.backends.backend_template.new_figure_manager_given_figure(num, figure)[source]
Create a new figure manager instance for the given figure. | matplotlib.backend_template_api#matplotlib.backends.backend_template.new_figure_manager_given_figure |
classmatplotlib.backends.backend_template.RendererTemplate(dpi)[source]
Bases: matplotlib.backend_bases.RendererBase The renderer handles drawing/rendering operations. This is a minimal do-nothing class that can be used to get started when writing a new backend. Refer to backend_bases.RendererBase for documentation o... | matplotlib.backend_template_api#matplotlib.backends.backend_template.RendererTemplate |
draw_image(gc, x, y, im)[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 ... | matplotlib.backend_template_api#matplotlib.backends.backend_template.RendererTemplate.draw_image |
draw_path(gc, path, transform, rgbFace=None)[source]
Draw a Path instance using the given affine transform. | matplotlib.backend_template_api#matplotlib.backends.backend_template.RendererTemplate.draw_path |
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.
propmatplotl... | matplotlib.backend_template_api#matplotlib.backends.backend_template.RendererTemplate.draw_text |
flipy()[source]
Return whether y values increase from top to bottom. Note that this only affects drawing of texts and images. | matplotlib.backend_template_api#matplotlib.backends.backend_template.RendererTemplate.flipy |
get_canvas_width_height()[source]
Return the canvas width and height in display coords. | matplotlib.backend_template_api#matplotlib.backends.backend_template.RendererTemplate.get_canvas_width_height |
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. | matplotlib.backend_template_api#matplotlib.backends.backend_template.RendererTemplate.get_text_width_height_descent |
new_gc()[source]
Return an instance of a GraphicsContextBase. | matplotlib.backend_template_api#matplotlib.backends.backend_template.RendererTemplate.new_gc |
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 arr... | matplotlib.backend_template_api#matplotlib.backends.backend_template.RendererTemplate.points_to_pixels |
matplotlib.backends.backend_template.show(*, block=None)[source]
For image backends - is not required. For GUI backends - show() is usually the last line of a pyplot script and tells the backend that it is time to draw. In interactive mode, this should do nothing. | matplotlib.backend_template_api#matplotlib.backends.backend_template.show |
matplotlib.backends.backend_tkagg.FigureCanvas[source]
alias of matplotlib.backends.backend_tkagg.FigureCanvasTkAgg | matplotlib.backend_tk_api#matplotlib.backends.backend_tkagg.FigureCanvas |
classmatplotlib.backends.backend_tkagg.FigureCanvasTkAgg(figure=None, master=None, resize_callback=<deprecated parameter>)[source]
Bases: matplotlib.backends.backend_agg.FigureCanvasAgg, matplotlib.backends._backend_tk.FigureCanvasTk blit(bbox=None)[source]
Blit the canvas in bbox (default entire canvas).
dra... | matplotlib.backend_tk_api#matplotlib.backends.backend_tkagg.FigureCanvasTkAgg |
blit(bbox=None)[source]
Blit the canvas in bbox (default entire canvas). | matplotlib.backend_tk_api#matplotlib.backends.backend_tkagg.FigureCanvasTkAgg.blit |
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. | matplotlib.backend_tk_api#matplotlib.backends.backend_tkagg.FigureCanvasTkAgg.draw |
matplotlib.backends.backend_tkcairo.FigureCanvas[source]
alias of matplotlib.backends.backend_tkcairo.FigureCanvasTkCairo | matplotlib.backend_tk_api#matplotlib.backends.backend_tkcairo.FigureCanvas |
classmatplotlib.backends.backend_tkcairo.FigureCanvasTkCairo(*args, **kwargs)[source]
Bases: matplotlib.backends.backend_cairo.FigureCanvasCairo, matplotlib.backends._backend_tk.FigureCanvasTk draw()[source]
Render the Figure. It is important that this method actually walk the artist tree even if not output is pr... | matplotlib.backend_tk_api#matplotlib.backends.backend_tkcairo.FigureCanvasTkCairo |
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. | matplotlib.backend_tk_api#matplotlib.backends.backend_tkcairo.FigureCanvasTkCairo.draw |
matplotlib.backends.backend_webagg.FigureCanvas[source]
alias of matplotlib.backends.backend_webagg.FigureCanvasWebAgg | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.FigureCanvas |
classmatplotlib.backends.backend_webagg.FigureCanvasWebAgg(*args, **kwargs)[source]
Bases: matplotlib.backends.backend_webagg_core.FigureCanvasWebAggCore | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.FigureCanvasWebAgg |
matplotlib.backends.backend_webagg.ipython_inline_display(figure)[source] | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.ipython_inline_display |
classmatplotlib.backends.backend_webagg.ServerThread(group=None, target=None, name=None, args=(), kwargs=None, *, daemon=None)[source]
Bases: threading.Thread This constructor should always be called with keyword arguments. Arguments are: group should be None; reserved for future extension when a ThreadGroup class is... | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.ServerThread |
run()[source]
Method representing the thread's activity. You may override this method in a subclass. The standard run() method invokes the callable object passed to the object's constructor as the target argument, if any, with sequential and keyword arguments taken from the args and kwargs arguments, respectively. | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.ServerThread.run |
matplotlib.backends.backend_webagg.show()[source]
Show all figures. show blocks by calling mainloop if block is True, or if it is None and we are neither in IPython's %pylab mode, nor in interactive mode. | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.show |
classmatplotlib.backends.backend_webagg.WebAggApplication(url_prefix='')[source]
Bases: tornado.web.Application classAllFiguresPage(application, request, *, url_prefix='', **kwargs)[source]
Bases: tornado.web.RequestHandler get()[source]
classDownload(application:tornado.web.Application, request:tornado.h... | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication |
classAllFiguresPage(application, request, *, url_prefix='', **kwargs)[source]
Bases: tornado.web.RequestHandler get()[source] | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.AllFiguresPage |
get()[source] | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.AllFiguresPage.get |
classDownload(application:tornado.web.Application, request:tornado.httputil.HTTPServerRequest, **kwargs:Any)[source]
Bases: tornado.web.RequestHandler get(fignum, fmt)[source] | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.Download |
get(fignum, fmt)[source] | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.Download.get |
classFavIcon(application:tornado.web.Application, request:tornado.httputil.HTTPServerRequest, **kwargs:Any)[source]
Bases: tornado.web.RequestHandler get()[source] | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.FavIcon |
get()[source] | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.FavIcon.get |
classmethodinitialize(url_prefix='', port=None, address=None)[source] | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.initialize |
initialized=False | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.initialized |
classMplJs(application:tornado.web.Application, request:tornado.httputil.HTTPServerRequest, **kwargs:Any)[source]
Bases: tornado.web.RequestHandler get()[source] | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.MplJs |
get()[source] | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.MplJs.get |
classSingleFigurePage(application, request, *, url_prefix='', **kwargs)[source]
Bases: tornado.web.RequestHandler get(fignum)[source] | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.SingleFigurePage |
get(fignum)[source] | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.SingleFigurePage.get |
classmethodstart()[source] | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.start |
started=False | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.started |
classWebSocket(application:tornado.web.Application, request:tornado.httputil.HTTPServerRequest, **kwargs:Any)[source]
Bases: tornado.websocket.WebSocketHandler on_close()[source]
Invoked when the WebSocket is closed. If the connection was closed cleanly and a status code or reason phrase was supplied, these value... | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.WebSocket |
on_close()[source]
Invoked when the WebSocket is closed. If the connection was closed cleanly and a status code or reason phrase was supplied, these values will be available as the attributes self.close_code and self.close_reason. Changed in version 4.0: Added close_code and close_reason attributes. | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.WebSocket.on_close |
on_message(message)[source]
Handle incoming messages on the WebSocket This method must be overridden. Changed in version 4.5: on_message can be a coroutine. | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.WebSocket.on_message |
open(fignum)[source]
Invoked when a new WebSocket is opened. The arguments to open are extracted from the tornado.web.URLSpec regular expression, just like the arguments to tornado.web.RequestHandler.get. open may be a coroutine. on_message will not be called until open has returned. Changed in version 5.1: open may... | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.WebSocket.open |
send_binary(blob)[source] | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.WebSocket.send_binary |
send_json(content)[source] | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.WebSocket.send_json |
supports_binary=True | matplotlib.backend_webagg_api#matplotlib.backends.backend_webagg.WebAggApplication.WebSocket.supports_binary |
matplotlib.bezier A module providing some utility functions regarding Bezier path manipulation. classmatplotlib.bezier.BezierSegment(control_points)[source]
Bases: object A d-dimensional Bezier segment. Parameters
control_points(N, d) array
Location of the N control points. axis_aligned_extrema()[source... | matplotlib.bezier_api |
classmatplotlib.bezier.BezierSegment(control_points)[source]
Bases: object A d-dimensional Bezier segment. Parameters
control_points(N, d) array
Location of the N control points. axis_aligned_extrema()[source]
Return the dimension and location of the curve's interior extrema. The extrema are the points ... | matplotlib.bezier_api#matplotlib.bezier.BezierSegment |
axis_aligned_extrema()[source]
Return the dimension and location of the curve's interior extrema. The extrema are the points along the curve where one of its partial derivatives is zero. Returns
dimsarray of int
Index \(i\) of the partial derivative which is zero at each interior extrema.
dzerosarray of float... | matplotlib.bezier_api#matplotlib.bezier.BezierSegment.axis_aligned_extrema |
point_at_t(t)[source]
Evaluate the curve at a single point, returning a tuple of d floats. | matplotlib.bezier_api#matplotlib.bezier.BezierSegment.point_at_t |
matplotlib.bezier.check_if_parallel(dx1, dy1, dx2, dy2, tolerance=1e-05)[source]
Check if two lines are parallel. Parameters
dx1, dy1, dx2, dy2float
The gradients dy/dx of the two lines.
tolerancefloat
The angular tolerance in radians up to which the lines are considered parallel. Returns
is_parallel
... | matplotlib.bezier_api#matplotlib.bezier.check_if_parallel |
matplotlib.bezier.find_bezier_t_intersecting_with_closedpath(bezier_point_at_t, inside_closedpath, t0=0.0, t1=1.0, tolerance=0.01)[source]
Find the intersection of the Bezier curve with a closed path. The intersection point t is approximated by two parameters t0, t1 such that t0 <= t <= t1. Search starts from t0 and ... | matplotlib.bezier_api#matplotlib.bezier.find_bezier_t_intersecting_with_closedpath |
matplotlib.bezier.find_control_points(c1x, c1y, mmx, mmy, c2x, c2y)[source]
Find control points of the Bezier curve passing through (c1x, c1y), (mmx, mmy), and (c2x, c2y), at parametric values 0, 0.5, and 1. | matplotlib.bezier_api#matplotlib.bezier.find_control_points |
matplotlib.bezier.get_cos_sin(x0, y0, x1, y1)[source] | matplotlib.bezier_api#matplotlib.bezier.get_cos_sin |
matplotlib.bezier.get_intersection(cx1, cy1, cos_t1, sin_t1, cx2, cy2, cos_t2, sin_t2)[source]
Return the intersection between the line through (cx1, cy1) at angle t1 and the line through (cx2, cy2) at angle t2. | matplotlib.bezier_api#matplotlib.bezier.get_intersection |
matplotlib.bezier.get_normal_points(cx, cy, cos_t, sin_t, length)[source]
For a line passing through (cx, cy) and having an angle t, return locations of the two points located along its perpendicular line at the distance of length. | matplotlib.bezier_api#matplotlib.bezier.get_normal_points |
matplotlib.bezier.get_parallels(bezier2, width)[source]
Given the quadratic Bezier control points bezier2, returns control points of quadratic Bezier lines roughly parallel to given one separated by width. | matplotlib.bezier_api#matplotlib.bezier.get_parallels |
matplotlib.bezier.inside_circle(cx, cy, r)[source]
Return a function that checks whether a point is in a circle with center (cx, cy) and radius r. The returned function has the signature: f(xy: tuple[float, float]) -> bool | matplotlib.bezier_api#matplotlib.bezier.inside_circle |
matplotlib.bezier.make_wedged_bezier2(bezier2, width, w1=1.0, wm=0.5, w2=0.0)[source]
Being similar to get_parallels, returns control points of two quadratic Bezier lines having a width roughly parallel to given one separated by width. | matplotlib.bezier_api#matplotlib.bezier.make_wedged_bezier2 |
exceptionmatplotlib.bezier.NonIntersectingPathException[source]
Bases: ValueError | matplotlib.bezier_api#matplotlib.bezier.NonIntersectingPathException |
matplotlib.bezier.split_bezier_intersecting_with_closedpath(bezier, inside_closedpath, tolerance=0.01)[source]
Split a Bezier curve into two at the intersection with a closed path. Parameters
bezier(N, 2) array-like
Control points of the Bezier segment. See BezierSegment.
inside_closedpathcallable
A functio... | matplotlib.bezier_api#matplotlib.bezier.split_bezier_intersecting_with_closedpath |
matplotlib.bezier.split_de_casteljau(beta, t)[source]
Split a Bezier segment defined by its control points beta into two separate segments divided at t and return their control points. | matplotlib.bezier_api#matplotlib.bezier.split_de_casteljau |
matplotlib.bezier.split_path_inout(path, inside, tolerance=0.01, reorder_inout=False)[source]
Divide a path into two segments at the point where inside(x, y) becomes False. | matplotlib.bezier_api#matplotlib.bezier.split_path_inout |
matplotlib.blocking_input Classes used for blocking interaction with figure windows: BlockingInput
Creates a callable object to retrieve events in a blocking way for interactive sessions. Base class of the other classes listed here. BlockingKeyMouseInput
Creates a callable object to retrieve key or mouse clicks in ... | matplotlib.blocking_input_api |
classmatplotlib.blocking_input.BlockingContourLabeler(cs)[source]
Bases: matplotlib.blocking_input.BlockingMouseInput Callable for retrieving mouse clicks and key presses in a blocking way. Used to place contour labels. add_click(event)[source]
Add the coordinates of an event to the list of clicks. Parameters
... | matplotlib.blocking_input_api#matplotlib.blocking_input.BlockingContourLabeler |
add_click(event)[source]
Add the coordinates of an event to the list of clicks. Parameters
eventMouseEvent | matplotlib.blocking_input_api#matplotlib.blocking_input.BlockingContourLabeler.add_click |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.