from collections import namedtuple import contextlib from functools import cache, wraps import inspect from inspect import Signature, Parameter import logging from numbers import Number, Real import re import warnings import numpy as np import matplotlib as mpl from . import _api, cbook from .colors import BoundaryNorm from .cm import ScalarMappable from .path import Path from .transforms import (BboxBase, Bbox, IdentityTransform, Transform, TransformedBbox, TransformedPatchPath, TransformedPath) _log = logging.getLogger(__name__) def _prevent_rasterization(draw): # We assume that by default artists are not allowed to rasterize (unless # its draw method is explicitly decorated). If it is being drawn after a # rasterized artist and it has reached a raster_depth of 0, we stop # rasterization so that it does not affect the behavior of normal artist # (e.g., change in dpi). @wraps(draw) def draw_wrapper(artist, renderer, *args, **kwargs): if renderer._raster_depth == 0 and renderer._rasterizing: # Only stop when we are not in a rasterized parent # and something has been rasterized since last stop. renderer.stop_rasterizing() renderer._rasterizing = False return draw(artist, renderer, *args, **kwargs) draw_wrapper._supports_rasterization = False return draw_wrapper def allow_rasterization(draw): """ Decorator for Artist.draw method. Provides routines that run before and after the draw call. The before and after functions are useful for changing artist-dependent renderer attributes or making other setup function calls, such as starting and flushing a mixed-mode renderer. """ @wraps(draw) def draw_wrapper(artist, renderer): try: if artist.get_rasterized(): if renderer._raster_depth == 0 and not renderer._rasterizing: renderer.start_rasterizing() renderer._rasterizing = True renderer._raster_depth += 1 else: if renderer._raster_depth == 0 and renderer._rasterizing: # Only stop when we are not in a rasterized parent # and something has be rasterized since last stop renderer.stop_rasterizing() renderer._rasterizing = False if artist.get_agg_filter() is not None: renderer.start_filter() return draw(artist, renderer) finally: if artist.get_agg_filter() is not None: renderer.stop_filter(artist.get_agg_filter()) if artist.get_rasterized(): renderer._raster_depth -= 1 if (renderer._rasterizing and artist.figure and artist.figure.suppressComposite): # restart rasterizing to prevent merging renderer.stop_rasterizing() renderer.start_rasterizing() draw_wrapper._supports_rasterization = True return draw_wrapper def _finalize_rasterization(draw): """ Decorator for Artist.draw method. Needed on the outermost artist, i.e. Figure, to finish up if the render is still in rasterized mode. """ @wraps(draw) def draw_wrapper(artist, renderer, *args, **kwargs): result = draw(artist, renderer, *args, **kwargs) if renderer._rasterizing: renderer.stop_rasterizing() renderer._rasterizing = False return result return draw_wrapper def _stale_axes_callback(self, val): if self.axes: self.axes.stale = val _XYPair = namedtuple("_XYPair", "x y") class _Unset: def __repr__(self): return "" _UNSET = _Unset() class Artist: """ Abstract base class for objects that render into a FigureCanvas. Typically, all visible elements in a figure are subclasses of Artist. """ zorder = 0 def __init_subclass__(cls): # Decorate draw() method so that all artists are able to stop # rastrization when necessary. If the artist's draw method is already # decorated (has a `_supports_rasterization` attribute), it won't be # decorated. if not hasattr(cls.draw, "_supports_rasterization"): cls.draw = _prevent_rasterization(cls.draw) # Inject custom set() methods into the subclass with signature and # docstring based on the subclasses' properties. if not hasattr(cls.set, '_autogenerated_signature'): # Don't overwrite cls.set if the subclass or one of its parents # has defined a set method set itself. # If there was no explicit definition, cls.set is inherited from # the hierarchy of auto-generated set methods, which hold the # flag _autogenerated_signature. return cls.set = lambda self, **kwargs: Artist.set(self, **kwargs) cls.set.__name__ = "set" cls.set.__qualname__ = f"{cls.__qualname__}.set" cls._update_set_signature_and_docstring() _PROPERTIES_EXCLUDED_FROM_SET = [ 'navigate_mode', # not a user-facing function 'figure', # changing the figure is such a profound operation # that we don't want this in set() '3d_properties', # cannot be used as a keyword due to leading digit ] @classmethod def _update_set_signature_and_docstring(cls): """ Update the signature of the set function to list all properties as keyword arguments. Property aliases are not listed in the signature for brevity, but are still accepted as keyword arguments. """ cls.set.__signature__ = Signature( [Parameter("self", Parameter.POSITIONAL_OR_KEYWORD), *[Parameter(prop, Parameter.KEYWORD_ONLY, default=_UNSET) for prop in ArtistInspector(cls).get_setters() if prop not in Artist._PROPERTIES_EXCLUDED_FROM_SET]]) cls.set._autogenerated_signature = True cls.set.__doc__ = ( "Set multiple properties at once.\n\n" "Supported properties are\n\n" + kwdoc(cls)) def __init__(self): self._stale = True self.stale_callback = None self._axes = None self.figure = None self._transform = None self._transformSet = False self._visible = True self._animated = False self._alpha = None self.clipbox = None self._clippath = None self._clipon = True self._label = '' self._picker = None self._rasterized = False self._agg_filter = None # Normally, artist classes need to be queried for mouseover info if and # only if they override get_cursor_data. self._mouseover = type(self).get_cursor_data != Artist.get_cursor_data self._callbacks = cbook.CallbackRegistry(signals=["pchanged"]) try: self.axes = None except AttributeError: # Handle self.axes as a read-only property, as in Figure. pass self._remove_method = None self._url = None self._gid = None self._snap = None self._sketch = mpl.rcParams['path.sketch'] self._path_effects = mpl.rcParams['path.effects'] self._sticky_edges = _XYPair([], []) self._in_layout = True def __getstate__(self): d = self.__dict__.copy() d['stale_callback'] = None return d def remove(self): """ Remove the artist from the figure if possible. The effect will not be visible until the figure is redrawn, e.g., with `.FigureCanvasBase.draw_idle`. Call `~.axes.Axes.relim` to update the Axes limits if desired. Note: `~.axes.Axes.relim` will not see collections even if the collection was added to the Axes with *autolim* = True. Note: there is no support for removing the artist's legend entry. """ # There is no method to set the callback. Instead, the parent should # set the _remove_method attribute directly. This would be a # protected attribute if Python supported that sort of thing. The # callback has one parameter, which is the child to be removed. if self._remove_method is not None: self._remove_method(self) # clear stale callback self.stale_callback = None _ax_flag = False if hasattr(self, 'axes') and self.axes: # remove from the mouse hit list self.axes._mouseover_set.discard(self) self.axes.stale = True self.axes = None # decouple the artist from the Axes _ax_flag = True if self.figure: if not _ax_flag: self.figure.stale = True self.figure = None else: raise NotImplementedError('cannot remove artist') # TODO: the fix for the collections relim problem is to move the # limits calculation into the artist itself, including the property of # whether or not the artist should affect the limits. Then there will # be no distinction between axes.add_line, axes.add_patch, etc. # TODO: add legend support def have_units(self): """Return whether units are set on any axis.""" ax = self.axes return ax and any(axis.have_units() for axis in ax._axis_map.values()) def convert_xunits(self, x): """ Convert *x* using the unit type of the xaxis. If the artist is not contained in an Axes or if the xaxis does not have units, *x* itself is returned. """ ax = getattr(self, 'axes', None) if ax is None or ax.xaxis is None: return x return ax.xaxis.convert_units(x) def convert_yunits(self, y): """ Convert *y* using the unit type of the yaxis. If the artist is not contained in an Axes or if the yaxis does not have units, *y* itself is returned. """ ax = getattr(self, 'axes', None) if ax is None or ax.yaxis is None: return y return ax.yaxis.convert_units(y) @property def axes(self): """The `~.axes.Axes` instance the artist resides in, or *None*.""" return self._axes @axes.setter def axes(self, new_axes): if (new_axes is not None and self._axes is not None and new_axes != self._axes): raise ValueError("Can not reset the Axes. You are probably trying to reuse " "an artist in more than one Axes which is not supported") self._axes = new_axes if new_axes is not None and new_axes is not self: self.stale_callback = _stale_axes_callback @property def stale(self): """ Whether the artist is 'stale' and needs to be re-drawn for the output to match the internal state of the artist. """ return self._stale @stale.setter def stale(self, val): self._stale = val # if the artist is animated it does not take normal part in the # draw stack and is not expected to be drawn as part of the normal # draw loop (when not saving) so do not propagate this change if self._animated: return if val and self.stale_callback is not None: self.stale_callback(self, val) def get_window_extent(self, renderer=None): """ Get the artist's bounding box in display space. The bounding box' width and height are nonnegative. Subclasses should override for inclusion in the bounding box "tight" calculation. Default is to return an empty bounding box at 0, 0. Be careful when using this function, the results will not update if the artist window extent of the artist changes. The extent can change due to any changes in the transform stack, such as changing the Axes limits, the figure size, or the canvas used (as is done when saving a figure). This can lead to unexpected behavior where interactive figures will look fine on the screen, but will save incorrectly. """ return Bbox([[0, 0], [0, 0]]) def get_tightbbox(self, renderer=None): """ Like `.Artist.get_window_extent`, but includes any clipping. Parameters ---------- renderer : `~matplotlib.backend_bases.RendererBase` subclass, optional renderer that will be used to draw the figures (i.e. ``fig.canvas.get_renderer()``) Returns ------- `.Bbox` or None The enclosing bounding box (in figure pixel coordinates). Returns None if clipping results in no intersection. """ bbox = self.get_window_extent(renderer) if self.get_clip_on(): clip_box = self.get_clip_box() if clip_box is not None: bbox = Bbox.intersection(bbox, clip_box) clip_path = self.get_clip_path() if clip_path is not None and bbox is not None: clip_path = clip_path.get_fully_transformed_path() bbox = Bbox.intersection(bbox, clip_path.get_extents()) return bbox def add_callback(self, func): """ Add a callback function that will be called whenever one of the `.Artist`'s properties changes. Parameters ---------- func : callable The callback function. It must have the signature:: def func(artist: Artist) -> Any where *artist* is the calling `.Artist`. Return values may exist but are ignored. Returns ------- int The observer id associated with the callback. This id can be used for removing the callback with `.remove_callback` later. See Also -------- remove_callback """ # Wrapping func in a lambda ensures it can be connected multiple times # and never gets weakref-gc'ed. return self._callbacks.connect("pchanged", lambda: func(self)) def remove_callback(self, oid): """ Remove a callback based on its observer id. See Also -------- add_callback """ self._callbacks.disconnect(oid) def pchanged(self): """ Call all of the registered callbacks. This function is triggered internally when a property is changed. See Also -------- add_callback remove_callback """ self._callbacks.process("pchanged") def is_transform_set(self): """ Return whether the Artist has an explicitly set transform. This is *True* after `.set_transform` has been called. """ return self._transformSet def set_transform(self, t): """ Set the artist transform. Parameters ---------- t : `~matplotlib.transforms.Transform` """ self._transform = t self._transformSet = True self.pchanged() self.stale = True def get_transform(self): """Return the `.Transform` instance used by this artist.""" if self._transform is None: self._transform = IdentityTransform() elif (not isinstance(self._transform, Transform) and hasattr(self._transform, '_as_mpl_transform')): self._transform = self._transform._as_mpl_transform(self.axes) return self._transform def get_children(self): r"""Return a list of the child `.Artist`\s of this `.Artist`.""" return [] def _different_canvas(self, event): """ Check whether an *event* occurred on a canvas other that this artist's canvas. If this method returns True, the event definitely occurred on a different canvas; if it returns False, either it occurred on the same canvas, or we may not have enough information to know. Subclasses should start their definition of `contains` as follows:: if self._different_canvas(mouseevent): return False, {} # subclass-specific implementation follows """ return (getattr(event, "canvas", None) is not None and self.figure is not None and event.canvas is not self.figure.canvas) def contains(self, mouseevent): """ Test whether the artist contains the mouse event. Parameters ---------- mouseevent : `~matplotlib.backend_bases.MouseEvent` Returns ------- contains : bool Whether any values are within the radius. details : dict An artist-specific dictionary of details of the event context, such as which points are contained in the pick radius. See the individual Artist subclasses for details. """ _log.warning("%r needs 'contains' method", self.__class__.__name__) return False, {} def pickable(self): """ Return whether the artist is pickable. See Also -------- .Artist.set_picker, .Artist.get_picker, .Artist.pick """ return self.figure is not None and self._picker is not None def pick(self, mouseevent): """ Process a pick event. Each child artist will fire a pick event if *mouseevent* is over the artist and the artist has picker set. See Also -------- .Artist.set_picker, .Artist.get_picker, .Artist.pickable """ from .backend_bases import PickEvent # Circular import. # Pick self if self.pickable(): picker = self.get_picker() if callable(picker): inside, prop = picker(self, mouseevent) else: inside, prop = self.contains(mouseevent) if inside: PickEvent("pick_event", self.figure.canvas, mouseevent, self, **prop)._process() # Pick children for a in self.get_children(): # make sure the event happened in the same Axes ax = getattr(a, 'axes', None) if (isinstance(a, mpl.figure.SubFigure) or mouseevent.inaxes is None or ax is None or mouseevent.inaxes == ax): # we need to check if mouseevent.inaxes is None # because some objects associated with an Axes (e.g., a # tick label) can be outside the bounding box of the # Axes and inaxes will be None # also check that ax is None so that it traverse objects # which do not have an axes property but children might a.pick(mouseevent) def set_picker(self, picker): """ Define the picking behavior of the artist. Parameters ---------- picker : None or bool or float or callable This can be one of the following: - *None*: Picking is disabled for this artist (default). - A boolean: If *True* then picking will be enabled and the artist will fire a pick event if the mouse event is over the artist. - A float: If picker is a number it is interpreted as an epsilon tolerance in points and the artist will fire off an event if its data is within epsilon of the mouse event. For some artists like lines and patch collections, the artist may provide additional data to the pick event that is generated, e.g., the indices of the data within epsilon of the pick event - A function: If picker is callable, it is a user supplied function which determines whether the artist is hit by the mouse event:: hit, props = picker(artist, mouseevent) to determine the hit test. if the mouse event is over the artist, return *hit=True* and props is a dictionary of properties you want added to the PickEvent attributes. """ self._picker = picker def get_picker(self): """ Return the picking behavior of the artist. The possible values are described in `.Artist.set_picker`. See Also -------- .Artist.set_picker, .Artist.pickable, .Artist.pick """ return self._picker def get_url(self): """Return the url.""" return self._url def set_url(self, url): """ Set the url for the artist. Parameters ---------- url : str """ self._url = url def get_gid(self): """Return the group id.""" return self._gid def set_gid(self, gid): """ Set the (group) id for the artist. Parameters ---------- gid : str """ self._gid = gid def get_snap(self): """ Return the snap setting. See `.set_snap` for details. """ if mpl.rcParams['path.snap']: return self._snap else: return False def set_snap(self, snap): """ Set the snapping behavior. Snapping aligns positions with the pixel grid, which results in clearer images. For example, if a black line of 1px width was defined at a position in between two pixels, the resulting image would contain the interpolated value of that line in the pixel grid, which would be a grey value on both adjacent pixel positions. In contrast, snapping will move the line to the nearest integer pixel value, so that the resulting image will really contain a 1px wide black line. Snapping is currently only supported by the Agg and MacOSX backends. Parameters ---------- snap : bool or None Possible values: - *True*: Snap vertices to the nearest pixel center. - *False*: Do not modify vertex positions. - *None*: (auto) If the path contains only rectilinear line segments, round to the nearest pixel center. """ self._snap = snap self.stale = True def get_sketch_params(self): """ Return the sketch parameters for the artist. Returns ------- tuple or None A 3-tuple with the following elements: - *scale*: The amplitude of the wiggle perpendicular to the source line. - *length*: The length of the wiggle along the line. - *randomness*: The scale factor by which the length is shrunken or expanded. Returns *None* if no sketch parameters were set. """ return self._sketch def set_sketch_params(self, scale=None, length=None, randomness=None): """ Set the sketch parameters. Parameters ---------- scale : float, optional The amplitude of the wiggle perpendicular to the source line, in pixels. If scale is `None`, or not provided, no sketch filter will be provided. length : float, optional The length of the wiggle along the line, in pixels (default 128.0) randomness : float, optional The scale factor by which the length is shrunken or expanded (default 16.0) The PGF backend uses this argument as an RNG seed and not as described above. Using the same seed yields the same random shape. .. ACCEPTS: (scale: float, length: float, randomness: float) """ if scale is None: self._sketch = None else: self._sketch = (scale, length or 128.0, randomness or 16.0) self.stale = True def set_path_effects(self, path_effects): """ Set the path effects. Parameters ---------- path_effects : list of `.AbstractPathEffect` """ self._path_effects = path_effects self.stale = True def get_path_effects(self): return self._path_effects def get_figure(self): """Return the `.Figure` instance the artist belongs to.""" return self.figure def set_figure(self, fig): """ Set the `.Figure` instance the artist belongs to. Parameters ---------- fig : `~matplotlib.figure.Figure` """ # if this is a no-op just return if self.figure is fig: return # if we currently have a figure (the case of both `self.figure` # and *fig* being none is taken care of above) we then user is # trying to change the figure an artist is associated with which # is not allowed for the same reason as adding the same instance # to more than one Axes if self.figure is not None: raise RuntimeError("Can not put single artist in " "more than one figure") self.figure = fig if self.figure and self.figure is not self: self.pchanged() self.stale = True def set_clip_box(self, clipbox): """ Set the artist's clip `.Bbox`. Parameters ---------- clipbox : `~matplotlib.transforms.BboxBase` or None Will typically be created from a `.TransformedBbox`. For instance, ``TransformedBbox(Bbox([[0, 0], [1, 1]]), ax.transAxes)`` is the default clipping for an artist added to an Axes. """ _api.check_isinstance((BboxBase, None), clipbox=clipbox) if clipbox != self.clipbox: self.clipbox = clipbox self.pchanged() self.stale = True def set_clip_path(self, path, transform=None): """ Set the artist's clip path. Parameters ---------- path : `~matplotlib.patches.Patch` or `.Path` or `.TransformedPath` or None The clip path. If given a `.Path`, *transform* must be provided as well. If *None*, a previously set clip path is removed. transform : `~matplotlib.transforms.Transform`, optional Only used if *path* is a `.Path`, in which case the given `.Path` is converted to a `.TransformedPath` using *transform*. Notes ----- For efficiency, if *path* is a `.Rectangle` this method will set the clipping box to the corresponding rectangle and set the clipping path to ``None``. For technical reasons (support of `~.Artist.set`), a tuple (*path*, *transform*) is also accepted as a single positional parameter. .. ACCEPTS: Patch or (Path, Transform) or None """ from matplotlib.patches import Patch, Rectangle success = False if transform is None: if isinstance(path, Rectangle): self.clipbox = TransformedBbox(Bbox.unit(), path.get_transform()) self._clippath = None success = True elif isinstance(path, Patch): self._clippath = TransformedPatchPath(path) success = True elif isinstance(path, tuple): path, transform = path if path is None: self._clippath = None success = True elif isinstance(path, Path): self._clippath = TransformedPath(path, transform) success = True elif isinstance(path, TransformedPatchPath): self._clippath = path success = True elif isinstance(path, TransformedPath): self._clippath = path success = True if not success: raise TypeError( "Invalid arguments to set_clip_path, of type " f"{type(path).__name__} and {type(transform).__name__}") # This may result in the callbacks being hit twice, but guarantees they # will be hit at least once. self.pchanged() self.stale = True def get_alpha(self): """ Return the alpha value used for blending - not supported on all backends. """ return self._alpha def get_visible(self): """Return the visibility.""" return self._visible def get_animated(self): """Return whether the artist is animated.""" return self._animated def get_in_layout(self): """ Return boolean flag, ``True`` if artist is included in layout calculations. E.g. :ref:`constrainedlayout_guide`, `.Figure.tight_layout()`, and ``fig.savefig(fname, bbox_inches='tight')``. """ return self._in_layout def _fully_clipped_to_axes(self): """ Return a boolean flag, ``True`` if the artist is clipped to the Axes and can thus be skipped in layout calculations. Requires `get_clip_on` is True, one of `clip_box` or `clip_path` is set, ``clip_box.extents`` is equivalent to ``ax.bbox.extents`` (if set), and ``clip_path._patch`` is equivalent to ``ax.patch`` (if set). """ # Note that ``clip_path.get_fully_transformed_path().get_extents()`` # cannot be directly compared to ``axes.bbox.extents`` because the # extents may be undefined (i.e. equivalent to ``Bbox.null()``) # before the associated artist is drawn, and this method is meant # to determine whether ``axes.get_tightbbox()`` may bypass drawing clip_box = self.get_clip_box() clip_path = self.get_clip_path() return (self.axes is not None and self.get_clip_on() and (clip_box is not None or clip_path is not None) and (clip_box is None or np.all(clip_box.extents == self.axes.bbox.extents)) and (clip_path is None or isinstance(clip_path, TransformedPatchPath) and clip_path._patch is self.axes.patch)) def get_clip_on(self): """Return whether the artist uses clipping.""" return self._clipon def get_clip_box(self): """Return the clipbox.""" return self.clipbox def get_clip_path(self): """Return the clip path.""" return self._clippath def get_transformed_clip_path_and_affine(self): """ Return the clip path with the non-affine part of its transformation applied, and the remaining affine part of its transformation. """ if self._clippath is not None: return self._clippath.get_transformed_path_and_affine() return None, None def set_clip_on(self, b): """ Set whether the artist uses clipping. When False, artists will be visible outside the Axes which can lead to unexpected results. Parameters ---------- b : bool """ self._clipon = b # This may result in the callbacks being hit twice, but ensures they # are hit at least once self.pchanged() self.stale = True def _set_gc_clip(self, gc): """Set the clip properly for the gc.""" if self._clipon: if self.clipbox is not None: gc.set_clip_rectangle(self.clipbox) gc.set_clip_path(self._clippath) else: gc.set_clip_rectangle(None) gc.set_clip_path(None) def get_rasterized(self): """Return whether the artist is to be rasterized.""" return self._rasterized def set_rasterized(self, rasterized): """ Force rasterized (bitmap) drawing for vector graphics output. Rasterized drawing is not supported by all artists. If you try to enable this on an artist that does not support it, the command has no effect and a warning will be issued. This setting is ignored for pixel-based output. See also :doc:`/gallery/misc/rasterization_demo`. Parameters ---------- rasterized : bool """ supports_rasterization = getattr(self.draw, "_supports_rasterization", False) if rasterized and not supports_rasterization: _api.warn_external(f"Rasterization of '{self}' will be ignored") self._rasterized = rasterized def get_agg_filter(self): """Return filter function to be used for agg filter.""" return self._agg_filter def set_agg_filter(self, filter_func): """ Set the agg filter. Parameters ---------- filter_func : callable A filter function, which takes a (m, n, depth) float array and a dpi value, and returns a (m, n, depth) array and two offsets from the bottom left corner of the image .. ACCEPTS: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image """ self._agg_filter = filter_func self.stale = True def draw(self, renderer): """ Draw the Artist (and its children) using the given renderer. This has no effect if the artist is not visible (`.Artist.get_visible` returns False). Parameters ---------- renderer : `~matplotlib.backend_bases.RendererBase` subclass. Notes ----- This method is overridden in the Artist subclasses. """ if not self.get_visible(): return self.stale = False def set_alpha(self, alpha): """ Set the alpha value used for blending - not supported on all backends. Parameters ---------- alpha : scalar or None *alpha* must be within the 0-1 range, inclusive. """ if alpha is not None and not isinstance(alpha, Real): raise TypeError( f'alpha must be numeric or None, not {type(alpha)}') if alpha is not None and not (0 <= alpha <= 1): raise ValueError(f'alpha ({alpha}) is outside 0-1 range') if alpha != self._alpha: self._alpha = alpha self.pchanged() self.stale = True def _set_alpha_for_array(self, alpha): """ Set the alpha value used for blending - not supported on all backends. Parameters ---------- alpha : array-like or scalar or None All values must be within the 0-1 range, inclusive. Masked values and nans are not supported. """ if isinstance(alpha, str): raise TypeError("alpha must be numeric or None, not a string") if not np.iterable(alpha): Artist.set_alpha(self, alpha) return alpha = np.asarray(alpha) if not (0 <= alpha.min() and alpha.max() <= 1): raise ValueError('alpha must be between 0 and 1, inclusive, ' f'but min is {alpha.min()}, max is {alpha.max()}') self._alpha = alpha self.pchanged() self.stale = True def set_visible(self, b): """ Set the artist's visibility. Parameters ---------- b : bool """ if b != self._visible: self._visible = b self.pchanged() self.stale = True def set_animated(self, b): """ Set whether the artist is intended to be used in an animation. If True, the artist is excluded from regular drawing of the figure. You have to call `.Figure.draw_artist` / `.Axes.draw_artist` explicitly on the artist. This approach is used to speed up animations using blitting. See also `matplotlib.animation` and :ref:`blitting`. Parameters ---------- b : bool """ if self._animated != b: self._animated = b self.pchanged() def set_in_layout(self, in_layout): """ Set if artist is to be included in layout calculations, E.g. :ref:`constrainedlayout_guide`, `.Figure.tight_layout()`, and ``fig.savefig(fname, bbox_inches='tight')``. Parameters ---------- in_layout : bool """ self._in_layout = in_layout def get_label(self): """Return the label used for this artist in the legend.""" return self._label def set_label(self, s): """ Set a label that will be displayed in the legend. Parameters ---------- s : object *s* will be converted to a string by calling `str`. """ label = str(s) if s is not None else None if label != self._label: self._label = label self.pchanged() self.stale = True def get_zorder(self): """Return the artist's zorder.""" return self.zorder def set_zorder(self, level): """ Set the zorder for the artist. Artists with lower zorder values are drawn first. Parameters ---------- level : float """ if level is None: level = self.__class__.zorder if level != self.zorder: self.zorder = level self.pchanged() self.stale = True @property def sticky_edges(self): """ ``x`` and ``y`` sticky edge lists for autoscaling. When performing autoscaling, if a data limit coincides with a value in the corresponding sticky_edges list, then no margin will be added--the view limit "sticks" to the edge. A typical use case is histograms, where one usually expects no margin on the bottom edge (0) of the histogram. Moreover, margin expansion "bumps" against sticky edges and cannot cross them. For example, if the upper data limit is 1.0, the upper view limit computed by simple margin application is 1.2, but there is a sticky edge at 1.1, then the actual upper view limit will be 1.1. This attribute cannot be assigned to; however, the ``x`` and ``y`` lists can be modified in place as needed. Examples -------- >>> artist.sticky_edges.x[:] = (xmin, xmax) >>> artist.sticky_edges.y[:] = (ymin, ymax) """ return self._sticky_edges def update_from(self, other): """Copy properties from *other* to *self*.""" self._transform = other._transform self._transformSet = other._transformSet self._visible = other._visible self._alpha = other._alpha self.clipbox = other.clipbox self._clipon = other._clipon self._clippath = other._clippath self._label = other._label self._sketch = other._sketch self._path_effects = other._path_effects self.sticky_edges.x[:] = other.sticky_edges.x.copy() self.sticky_edges.y[:] = other.sticky_edges.y.copy() self.pchanged() self.stale = True def properties(self): """Return a dictionary of all the properties of the artist.""" return ArtistInspector(self).properties() def _update_props(self, props, errfmt): """ Helper for `.Artist.set` and `.Artist.update`. *errfmt* is used to generate error messages for invalid property names; it gets formatted with ``type(self)`` and the property name. """ ret = [] with cbook._setattr_cm(self, eventson=False): for k, v in props.items(): # Allow attributes we want to be able to update through # art.update, art.set, setp. if k == "axes": ret.append(setattr(self, k, v)) else: func = getattr(self, f"set_{k}", None) if not callable(func): raise AttributeError( errfmt.format(cls=type(self), prop_name=k)) ret.append(func(v)) if ret: self.pchanged() self.stale = True return ret def update(self, props): """ Update this artist's properties from the dict *props*. Parameters ---------- props : dict """ return self._update_props( props, "{cls.__name__!r} object has no property {prop_name!r}") def _internal_update(self, kwargs): """ Update artist properties without prenormalizing them, but generating errors as if calling `set`. The lack of prenormalization is to maintain backcompatibility. """ return self._update_props( kwargs, "{cls.__name__}.set() got an unexpected keyword argument " "{prop_name!r}") def set(self, **kwargs): # docstring and signature are auto-generated via # Artist._update_set_signature_and_docstring() at the end of the # module. return self._internal_update(cbook.normalize_kwargs(kwargs, self)) @contextlib.contextmanager def _cm_set(self, **kwargs): """ `.Artist.set` context-manager that restores original values at exit. """ orig_vals = {k: getattr(self, f"get_{k}")() for k in kwargs} try: self.set(**kwargs) yield finally: self.set(**orig_vals) def findobj(self, match=None, include_self=True): """ Find artist objects. Recursively find all `.Artist` instances contained in the artist. Parameters ---------- match A filter criterion for the matches. This can be - *None*: Return all objects contained in artist. - A function with signature ``def match(artist: Artist) -> bool``. The result will only contain artists for which the function returns *True*. - A class instance: e.g., `.Line2D`. The result will only contain artists of this class or its subclasses (``isinstance`` check). include_self : bool Include *self* in the list to be checked for a match. Returns ------- list of `.Artist` """ if match is None: # always return True def matchfunc(x): return True elif isinstance(match, type) and issubclass(match, Artist): def matchfunc(x): return isinstance(x, match) elif callable(match): matchfunc = match else: raise ValueError('match must be None, a matplotlib.artist.Artist ' 'subclass, or a callable') artists = sum([c.findobj(matchfunc) for c in self.get_children()], []) if include_self and matchfunc(self): artists.append(self) return artists def get_cursor_data(self, event): """ Return the cursor data for a given event. .. note:: This method is intended to be overridden by artist subclasses. As an end-user of Matplotlib you will most likely not call this method yourself. Cursor data can be used by Artists to provide additional context information for a given event. The default implementation just returns *None*. Subclasses can override the method and return arbitrary data. However, when doing so, they must ensure that `.format_cursor_data` can convert the data to a string representation. The only current use case is displaying the z-value of an `.AxesImage` in the status bar of a plot window, while moving the mouse. Parameters ---------- event : `~matplotlib.backend_bases.MouseEvent` See Also -------- format_cursor_data """ return None def format_cursor_data(self, data): """ Return a string representation of *data*. .. note:: This method is intended to be overridden by artist subclasses. As an end-user of Matplotlib you will most likely not call this method yourself. The default implementation converts ints and floats and arrays of ints and floats into a comma-separated string enclosed in square brackets, unless the artist has an associated colorbar, in which case scalar values are formatted using the colorbar's formatter. See Also -------- get_cursor_data """ if np.ndim(data) == 0 and isinstance(self, ScalarMappable): # This block logically belongs to ScalarMappable, but can't be # implemented in it because most ScalarMappable subclasses inherit # from Artist first and from ScalarMappable second, so # Artist.format_cursor_data would always have precedence over # ScalarMappable.format_cursor_data. n = self.cmap.N if np.ma.getmask(data): return "[]" normed = self.norm(data) if np.isfinite(normed): if isinstance(self.norm, BoundaryNorm): # not an invertible normalization mapping cur_idx = np.argmin(np.abs(self.norm.boundaries - data)) neigh_idx = max(0, cur_idx - 1) # use max diff to prevent delta == 0 delta = np.diff( self.norm.boundaries[neigh_idx:cur_idx + 2] ).max() elif self.norm.vmin == self.norm.vmax: # singular norms, use delta of 10% of only value delta = np.abs(self.norm.vmin * .1) else: # Midpoints of neighboring color intervals. neighbors = self.norm.inverse( (int(normed * n) + np.array([0, 1])) / n) delta = abs(neighbors - data).max() g_sig_digits = cbook._g_sig_digits(data, delta) else: g_sig_digits = 3 # Consistent with default below. return f"[{data:-#.{g_sig_digits}g}]" else: try: data[0] except (TypeError, IndexError): data = [data] data_str = ', '.join(f'{item:0.3g}' for item in data if isinstance(item, Number)) return "[" + data_str + "]" def get_mouseover(self): """ Return whether this artist is queried for custom context information when the mouse cursor moves over it. """ return self._mouseover def set_mouseover(self, mouseover): """ Set whether this artist is queried for custom context information when the mouse cursor moves over it. Parameters ---------- mouseover : bool See Also -------- get_cursor_data .ToolCursorPosition .NavigationToolbar2 """ self._mouseover = bool(mouseover) ax = self.axes if ax: if self._mouseover: ax._mouseover_set.add(self) else: ax._mouseover_set.discard(self) mouseover = property(get_mouseover, set_mouseover) # backcompat. def _get_tightbbox_for_layout_only(obj, *args, **kwargs): """ Matplotlib's `.Axes.get_tightbbox` and `.Axis.get_tightbbox` support a *for_layout_only* kwarg; this helper tries to use the kwarg but skips it when encountering third-party subclasses that do not support it. """ try: return obj.get_tightbbox(*args, **{**kwargs, "for_layout_only": True}) except TypeError: return obj.get_tightbbox(*args, **kwargs) class ArtistInspector: """ A helper class to inspect an `~matplotlib.artist.Artist` and return information about its settable properties and their current values. """ def __init__(self, o): r""" Initialize the artist inspector with an `Artist` or an iterable of `Artist`\s. If an iterable is used, we assume it is a homogeneous sequence (all `Artist`\s are of the same type) and it is your responsibility to make sure this is so. """ if not isinstance(o, Artist): if np.iterable(o): o = list(o) if len(o): o = o[0] self.oorig = o if not isinstance(o, type): o = type(o) self.o = o self.aliasd = self.get_aliases() def get_aliases(self): """ Get a dict mapping property fullnames to sets of aliases for each alias in the :class:`~matplotlib.artist.ArtistInspector`. e.g., for lines:: {'markerfacecolor': {'mfc'}, 'linewidth' : {'lw'}, } """ names = [name for name in dir(self.o) if name.startswith(('set_', 'get_')) and callable(getattr(self.o, name))] aliases = {} for name in names: func = getattr(self.o, name) if not self.is_alias(func): continue propname = re.search(f"`({name[:4]}.*)`", # get_.*/set_.* inspect.getdoc(func)).group(1) aliases.setdefault(propname[4:], set()).add(name[4:]) return aliases _get_valid_values_regex = re.compile( r"\n\s*(?:\.\.\s+)?ACCEPTS:\s*((?:.|\n)*?)(?:$|(?:\n\n))" ) def get_valid_values(self, attr): """ Get the legal arguments for the setter associated with *attr*. This is done by querying the docstring of the setter for a line that begins with "ACCEPTS:" or ".. ACCEPTS:", and then by looking for a numpydoc-style documentation for the setter's first argument. """ name = 'set_%s' % attr if not hasattr(self.o, name): raise AttributeError(f'{self.o} has no function {name}') func = getattr(self.o, name) if hasattr(func, '_kwarg_doc'): return func._kwarg_doc docstring = inspect.getdoc(func) if docstring is None: return 'unknown' if docstring.startswith('Alias for '): return None match = self._get_valid_values_regex.search(docstring) if match is not None: return re.sub("\n *", " ", match.group(1)) # Much faster than list(inspect.signature(func).parameters)[1], # although barely relevant wrt. matplotlib's total import time. param_name = func.__code__.co_varnames[1] # We could set the presence * based on whether the parameter is a # varargs (it can't be a varkwargs) but it's not really worth it. match = re.search(fr"(?m)^ *\*?{param_name} : (.+)", docstring) if match: return match.group(1) return 'unknown' def _replace_path(self, source_class): """ Changes the full path to the public API path that is used in sphinx. This is needed for links to work. """ replace_dict = {'_base._AxesBase': 'Axes', '_axes.Axes': 'Axes'} for key, value in replace_dict.items(): source_class = source_class.replace(key, value) return source_class def get_setters(self): """ Get the attribute strings with setters for object. For example, for a line, return ``['markerfacecolor', 'linewidth', ....]``. """ setters = [] for name in dir(self.o): if not name.startswith('set_'): continue func = getattr(self.o, name) if (not callable(func) or self.number_of_parameters(func) < 2 or self.is_alias(func)): continue setters.append(name[4:]) return setters @staticmethod @cache def number_of_parameters(func): """Return number of parameters of the callable *func*.""" return len(inspect.signature(func).parameters) @staticmethod @cache def is_alias(method): """ Return whether the object *method* is an alias for another method. """ ds = inspect.getdoc(method) if ds is None: return False return ds.startswith('Alias for ') def aliased_name(self, s): """ Return 'PROPNAME or alias' if *s* has an alias, else return 'PROPNAME'. For example, for the line markerfacecolor property, which has an alias, return 'markerfacecolor or mfc' and for the transform property, which does not, return 'transform'. """ aliases = ''.join(' or %s' % x for x in sorted(self.aliasd.get(s, []))) return s + aliases _NOT_LINKABLE = { # A set of property setter methods that are not available in our # current docs. This is a workaround used to prevent trying to link # these setters which would lead to "target reference not found" # warnings during doc build. 'matplotlib.image._ImageBase.set_alpha', 'matplotlib.image._ImageBase.set_array', 'matplotlib.image._ImageBase.set_data', 'matplotlib.image._ImageBase.set_filternorm', 'matplotlib.image._ImageBase.set_filterrad', 'matplotlib.image._ImageBase.set_interpolation', 'matplotlib.image._ImageBase.set_interpolation_stage', 'matplotlib.image._ImageBase.set_resample', 'matplotlib.text._AnnotationBase.set_annotation_clip', } def aliased_name_rest(self, s, target): """ Return 'PROPNAME or alias' if *s* has an alias, else return 'PROPNAME', formatted for reST. For example, for the line markerfacecolor property, which has an alias, return 'markerfacecolor or mfc' and for the transform property, which does not, return 'transform'. """ # workaround to prevent "reference target not found" if target in self._NOT_LINKABLE: return f'``{s}``' aliases = ''.join(' or %s' % x for x in sorted(self.aliasd.get(s, []))) return f':meth:`{s} <{target}>`{aliases}' def pprint_setters(self, prop=None, leadingspace=2): """ If *prop* is *None*, return a list of strings of all settable properties and their valid values. If *prop* is not *None*, it is a valid property name and that property will be returned as a string of property : valid values. """ if leadingspace: pad = ' ' * leadingspace else: pad = '' if prop is not None: accepts = self.get_valid_values(prop) return f'{pad}{prop}: {accepts}' lines = [] for prop in sorted(self.get_setters()): accepts = self.get_valid_values(prop) name = self.aliased_name(prop) lines.append(f'{pad}{name}: {accepts}') return lines def pprint_setters_rest(self, prop=None, leadingspace=4): """ If *prop* is *None*, return a list of reST-formatted strings of all settable properties and their valid values. If *prop* is not *None*, it is a valid property name and that property will be returned as a string of "property : valid" values. """ if leadingspace: pad = ' ' * leadingspace else: pad = '' if prop is not None: accepts = self.get_valid_values(prop) return f'{pad}{prop}: {accepts}' prop_and_qualnames = [] for prop in sorted(self.get_setters()): # Find the parent method which actually provides the docstring. for cls in self.o.__mro__: method = getattr(cls, f"set_{prop}", None) if method and method.__doc__ is not None: break else: # No docstring available. method = getattr(self.o, f"set_{prop}") prop_and_qualnames.append( (prop, f"{method.__module__}.{method.__qualname__}")) names = [self.aliased_name_rest(prop, target) .replace('_base._AxesBase', 'Axes') .replace('_axes.Axes', 'Axes') for prop, target in prop_and_qualnames] accepts = [self.get_valid_values(prop) for prop, _ in prop_and_qualnames] col0_len = max(len(n) for n in names) col1_len = max(len(a) for a in accepts) table_formatstr = pad + ' ' + '=' * col0_len + ' ' + '=' * col1_len return [ '', pad + '.. table::', pad + ' :class: property-table', '', table_formatstr, pad + ' ' + 'Property'.ljust(col0_len) + ' ' + 'Description'.ljust(col1_len), table_formatstr, *[pad + ' ' + n.ljust(col0_len) + ' ' + a.ljust(col1_len) for n, a in zip(names, accepts)], table_formatstr, '', ] def properties(self): """Return a dictionary mapping property name -> value.""" o = self.oorig getters = [name for name in dir(o) if name.startswith('get_') and callable(getattr(o, name))] getters.sort() d = {} for name in getters: func = getattr(o, name) if self.is_alias(func): continue try: with warnings.catch_warnings(): warnings.simplefilter('ignore') val = func() except Exception: continue else: d[name[4:]] = val return d def pprint_getters(self): """Return the getters and actual values as list of strings.""" lines = [] for name, val in sorted(self.properties().items()): if getattr(val, 'shape', ()) != () and len(val) > 6: s = str(val[:6]) + '...' else: s = str(val) s = s.replace('\n', ' ') if len(s) > 50: s = s[:50] + '...' name = self.aliased_name(name) lines.append(f' {name} = {s}') return lines def getp(obj, property=None): """ Return the value of an `.Artist`'s *property*, or print all of them. Parameters ---------- obj : `~matplotlib.artist.Artist` The queried artist; e.g., a `.Line2D`, a `.Text`, or an `~.axes.Axes`. property : str or None, default: None If *property* is 'somename', this function returns ``obj.get_somename()``. If it's None (or unset), it *prints* all gettable properties from *obj*. Many properties have aliases for shorter typing, e.g. 'lw' is an alias for 'linewidth'. In the output, aliases and full property names will be listed as: property or alias = value e.g.: linewidth or lw = 2 See Also -------- setp """ if property is None: insp = ArtistInspector(obj) ret = insp.pprint_getters() print('\n'.join(ret)) return return getattr(obj, 'get_' + property)() # alias get = getp def setp(obj, *args, file=None, **kwargs): """ Set one or more properties on an `.Artist`, or list allowed values. Parameters ---------- obj : `~matplotlib.artist.Artist` or list of `.Artist` The artist(s) whose properties are being set or queried. When setting properties, all artists are affected; when querying the allowed values, only the first instance in the sequence is queried. For example, two lines can be made thicker and red with a single call: >>> x = arange(0, 1, 0.01) >>> lines = plot(x, sin(2*pi*x), x, sin(4*pi*x)) >>> setp(lines, linewidth=2, color='r') file : file-like, default: `sys.stdout` Where `setp` writes its output when asked to list allowed values. >>> with open('output.log') as file: ... setp(line, file=file) The default, ``None``, means `sys.stdout`. *args, **kwargs The properties to set. The following combinations are supported: - Set the linestyle of a line to be dashed: >>> line, = plot([1, 2, 3]) >>> setp(line, linestyle='--') - Set multiple properties at once: >>> setp(line, linewidth=2, color='r') - List allowed values for a line's linestyle: >>> setp(line, 'linestyle') linestyle: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...} - List all properties that can be set, and their allowed values: >>> setp(line) agg_filter: a filter function, ... [long output listing omitted] `setp` also supports MATLAB style string/value pairs. For example, the following are equivalent: >>> setp(lines, 'linewidth', 2, 'color', 'r') # MATLAB style >>> setp(lines, linewidth=2, color='r') # Python style See Also -------- getp """ if isinstance(obj, Artist): objs = [obj] else: objs = list(cbook.flatten(obj)) if not objs: return insp = ArtistInspector(objs[0]) if not kwargs and len(args) < 2: if args: print(insp.pprint_setters(prop=args[0]), file=file) else: print('\n'.join(insp.pprint_setters()), file=file) return if len(args) % 2: raise ValueError('The set args must be string, value pairs') funcvals = dict(zip(args[::2], args[1::2])) ret = [o.update(funcvals) for o in objs] + [o.set(**kwargs) for o in objs] return list(cbook.flatten(ret)) def kwdoc(artist): r""" Inspect an `~matplotlib.artist.Artist` class (using `.ArtistInspector`) and return information about its settable properties and their current values. Parameters ---------- artist : `~matplotlib.artist.Artist` or an iterable of `Artist`\s Returns ------- str The settable properties of *artist*, as plain text if :rc:`docstring.hardcopy` is False and as a rst table (intended for use in Sphinx) if it is True. """ ai = ArtistInspector(artist) return ('\n'.join(ai.pprint_setters_rest(leadingspace=4)) if mpl.rcParams['docstring.hardcopy'] else 'Properties:\n' + '\n'.join(ai.pprint_setters(leadingspace=4))) # We defer this to the end of them module, because it needs ArtistInspector # to be defined. Artist._update_set_signature_and_docstring()