def get_scale_docs(): docs = [] for name in get_scale_names(): scale_class = _scale_mapping[name] docs.append(" '%s'" % name) docs.append("") class_docs = dedent(scale_class.__init__.__doc__) class_docs = "".join([" %s\n" % x for x in class_docs.split("\n")]) docs.append(class_docs) docs.append("") return "\n".join(docs)
def get_scale_docs(): docs = [] for name in get_scale_names(): scale_class = _scale_mapping[name] docs.append(" '%s'" % name) docs.append("") class_docs = dedent(scale_class.__init__.__doc__) class_docs = "".join( [" %s\n" % x for x in class_docs.split("\n")]) docs.append(class_docs) docs.append("") return "\n".join(docs)
def get_scale_docs(): docs = [] for name in get_scale_names(): scale_class = _scale_mapping[name] docs.append(" '%s'" % name) docs.append("") class_docs = textwrap.wrap( dedent(scale_class.__init__.__doc__), initial_indent=" " * 8, subsequent_indent = " " * 8) docs.extend(class_docs) docs.append("") return "\n".join(docs)
def get_scale_docs(): """ Helper function for generating docstrings related to scales. """ docs = [] for name in get_scale_names(): scale_class = _scale_mapping[name] docs.append(" '%s'" % name) docs.append("") class_docs = dedent(scale_class.__init__.__doc__) class_docs = "".join([" %s\n" % x for x in class_docs.split("\n")]) docs.append(class_docs) docs.append("") return "\n".join(docs)
def scale_factory(scale, axis, **kwargs): """ Return a scale class by name. ACCEPTS: [ %(names)s ] """ scale = scale.lower() if scale is None: scale = 'linear' if scale not in _scale_mapping: raise ValueError("Unknown scale type '%s'" % scale) return _scale_mapping[scale](axis, **kwargs) scale_factory.__doc__ = dedent(scale_factory.__doc__) % \ {'names': " | ".join(get_scale_names())} def register_scale(scale_class): """ Register a new kind of scale. *scale_class* must be a subclass of :class:`ScaleBase`. """ _scale_mapping[scale_class.name] = scale_class def get_scale_docs(): """ Helper function for generating docstrings related to scales. """ docs = []
*ind* are the indices of the selected vertices. *xs* and *ys* are the coordinates of the selected vertices. """ pass def onpick(self, event): 'When the line is picked, update the set of selected indicies.' if event.artist is not self.line: return for i in event.ind: if i in self.ind: self.ind.remove(i) else: self.ind.add(i) ind = list(self.ind) ind.sort() xdata, ydata = self.line.get_data() self.process_selected(ind, xdata[ind], ydata[ind]) lineStyles = Line2D._lineStyles lineMarkers = Line2D._markers artist.kwdocd['Line2D'] = artist.kwdoc(Line2D) # You can not set the docstring of an instancemethod, # but you can on the underlying function. Go figure. Line2D.__init__.im_func.__doc__ = dedent(Line2D.__init__.__doc__) % artist.kwdocd
*ind* are the indices of the selected vertices. *xs* and *ys* are the coordinates of the selected vertices. """ pass def onpick(self, event): 'When the line is picked, update the set of selected indicies.' if event.artist is not self.line: return for i in event.ind: if i in self.ind: self.ind.remove(i) else: self.ind.add(i) ind = list(self.ind) ind.sort() xdata, ydata = self.line.get_data() self.process_selected(ind, xdata[ind], ydata[ind]) lineStyles = Line2D._lineStyles lineMarkers = Line2D._markers drawStyles = Line2D.drawStyles artist.kwdocd['Line2D'] = artist.kwdoc(Line2D) # You can not set the docstring of an instancemethod, # but you can on the underlying function. Go figure. Line2D.__init__.im_func.__doc__ = dedent(Line2D.__init__.__doc__) % artist.kwdocd
class Figure(Artist): """ The Figure instance supports callbacks through a *callbacks* attribute which is a :class:`matplotlib.cbook.CallbackRegistry` instance. The events you can connect to are 'dpi_changed', and the callback will be called with ``func(fig)`` where fig is the :class:`Figure` instance. The figure patch is drawn by a the attribute *patch* a :class:`matplotlib.patches.Rectangle` instance *suppressComposite* for multiple figure images, the figure will make composite images depending on the renderer option_image_nocomposite function. If suppressComposite is True|False, this will override the renderer """ def __str__(self): return "Figure(%gx%g)" % tuple(self.bbox.size) def __init__( self, figsize=None, # defaults to rc figure.figsize dpi=None, # defaults to rc figure.dpi facecolor=None, # defaults to rc figure.facecolor edgecolor=None, # defaults to rc figure.edgecolor linewidth=1.0, # the default linewidth of the frame frameon=True, # whether or not to draw the figure frame subplotpars=None, # default to rc ): """ *figsize* w,h tuple in inches *dpi* dots per inch *facecolor* the figure patch facecolor; defaults to rc ``figure.facecolor`` *edgecolor* the figure patch edge color; defaults to rc ``figure.edgecolor`` *linewidth* the figure patch edge linewidth; the default linewidth of the frame *frameon* if False, suppress drawing the figure frame *subplotpars* a :class:`SubplotParams` instance, defaults to rc """ Artist.__init__(self) self.callbacks = cbook.CallbackRegistry(('dpi_changed', )) if figsize is None: figsize = rcParams['figure.figsize'] if dpi is None: dpi = rcParams['figure.dpi'] if facecolor is None: facecolor = rcParams['figure.facecolor'] if edgecolor is None: edgecolor = rcParams['figure.edgecolor'] self.dpi_scale_trans = Affine2D() self.dpi = dpi self.bbox_inches = Bbox.from_bounds(0, 0, *figsize) self.bbox = TransformedBbox(self.bbox_inches, self.dpi_scale_trans) self.frameon = frameon self.transFigure = BboxTransformTo(self.bbox) # the figurePatch name is deprecated self.patch = self.figurePatch = Rectangle( xy=(0, 0), width=1, height=1, facecolor=facecolor, edgecolor=edgecolor, linewidth=linewidth, ) self._set_artist_props(self.patch) self._hold = rcParams['axes.hold'] self.canvas = None if subplotpars is None: subplotpars = SubplotParams() self.subplotpars = subplotpars self._axstack = Stack() # maintain the current axes self.axes = [] self.clf() self._cachedRenderer = None def _get_dpi(self): return self._dpi def _set_dpi(self, dpi): self._dpi = dpi self.dpi_scale_trans.clear().scale(dpi, dpi) self.callbacks.process('dpi_changed', self) dpi = property(_get_dpi, _set_dpi) def autofmt_xdate(self, bottom=0.2, rotation=30, ha='right'): """ Date ticklabels often overlap, so it is useful to rotate them and right align them. Also, a common use case is a number of subplots with shared xaxes where the x-axis is date data. The ticklabels are often long, and it helps to rotate them on the bottom subplot and turn them off on other subplots, as well as turn off xlabels. *bottom* the bottom of the subplots for :meth:`subplots_adjust` *rotation* the rotation of the xtick labels *ha* the horizontal alignment of the xticklabels """ allsubplots = np.alltrue( [hasattr(ax, 'is_last_row') for ax in self.axes]) if len(self.axes) == 1: for label in ax.get_xticklabels(): label.set_ha(ha) label.set_rotation(rotation) else: if allsubplots: for ax in self.get_axes(): if ax.is_last_row(): for label in ax.get_xticklabels(): label.set_ha(ha) label.set_rotation(rotation) else: for label in ax.get_xticklabels(): label.set_visible(False) ax.set_xlabel('') if allsubplots: self.subplots_adjust(bottom=bottom) def get_children(self): 'get a list of artists contained in the figure' children = [self.patch] children.extend(self.artists) children.extend(self.axes) children.extend(self.lines) children.extend(self.patches) children.extend(self.texts) children.extend(self.images) children.extend(self.legends) return children def contains(self, mouseevent): """ Test whether the mouse event occurred on the figure. Returns True,{} """ if callable(self._contains): return self._contains(self, mouseevent) #inside = mouseevent.x >= 0 and mouseevent.y >= 0 inside = self.bbox.contains(mouseevent.x, mouseevent.y) return inside, {} def get_window_extent(self, *args, **kwargs): 'get the figure bounding box in display space; kwargs are void' return self.bbox def suptitle(self, t, **kwargs): """ Add a centered title to the figure. kwargs are :class:`matplotlib.text.Text` properties. Using figure coordinates, the defaults are: - *x* = 0.5 the x location of text in figure coords - *y* = 0.98 the y location of the text in figure coords - *horizontalalignment* = 'center' the horizontal alignment of the text - *verticalalignment* = 'top' the vertical alignment of the text A :class:`matplotlib.text.Text` instance is returned. Example:: fig.subtitle('this is the figure title', fontsize=12) """ x = kwargs.pop('x', 0.5) y = kwargs.pop('y', 0.98) if ('horizontalalignment' not in kwargs) and ('ha' not in kwargs): kwargs['horizontalalignment'] = 'center' if ('verticalalignment' not in kwargs) and ('va' not in kwargs): kwargs['verticalalignment'] = 'top' t = self.text(x, y, t, **kwargs) return t def set_canvas(self, canvas): """ Set the canvas the contains the figure ACCEPTS: a FigureCanvas instance """ self.canvas = canvas def hold(self, b=None): """ Set the hold state. If hold is None (default), toggle the hold state. Else set the hold state to boolean value b. Eg:: hold() # toggle hold hold(True) # hold is on hold(False) # hold is off """ if b is None: self._hold = not self._hold else: self._hold = b def figimage(self, X, xo=0, yo=0, alpha=1.0, norm=None, cmap=None, vmin=None, vmax=None, origin=None): """ call signatures:: figimage(X, **kwargs) adds a non-resampled array *X* to the figure. :: figimage(X, xo, yo) with pixel offsets *xo*, *yo*, *X* must be a float array: * If *X* is MxN, assume luminance (grayscale) * If *X* is MxNx3, assume RGB * If *X* is MxNx4, assume RGBA Optional keyword arguments: ========= ========================================================== Keyword Description ========= ========================================================== xo or yo An integer, the *x* and *y* image offset in pixels cmap a :class:`matplotlib.cm.ColorMap` instance, eg cm.jet. If None, default to the rc ``image.cmap`` value norm a :class:`matplotlib.colors.Normalize` instance. The default is normalization(). This scales luminance -> 0-1 vmin|vmax are used to scale a luminance image to 0-1. If either is None, the min and max of the luminance values will be used. Note if you pass a norm instance, the settings for *vmin* and *vmax* will be ignored. alpha the alpha blending value, default is 1.0 origin [ 'upper' | 'lower' ] Indicates where the [0,0] index of the array is in the upper left or lower left corner of the axes. Defaults to the rc image.origin value ========= ========================================================== figimage complements the axes image (:meth:`~matplotlib.axes.Axes.imshow`) which will be resampled to fit the current axes. If you want a resampled image to fill the entire figure, you can define an :class:`~matplotlib.axes.Axes` with size [0,1,0,1]. An :class:`matplotlib.image.FigureImage` instance is returned. .. plot:: mpl_examples/pylab_examples/figimage_demo.py """ if not self._hold: self.clf() im = FigureImage(self, cmap, norm, xo, yo, origin) im.set_array(X) im.set_alpha(alpha) if norm is None: im.set_clim(vmin, vmax) self.images.append(im) return im def set_figsize_inches(self, *args, **kwargs): import warnings warnings.warn('Use set_size_inches instead!', DeprecationWarning) self.set_size_inches(*args, **kwargs) def set_size_inches(self, *args, **kwargs): """ set_size_inches(w,h, forward=False) Set the figure size in inches Usage:: fig.set_size_inches(w,h) # OR fig.set_size_inches((w,h) ) optional kwarg *forward=True* will cause the canvas size to be automatically updated; eg you can resize the figure window from the shell WARNING: forward=True is broken on all backends except GTK* and WX* ACCEPTS: a w,h tuple with w,h in inches """ forward = kwargs.get('forward', False) if len(args) == 1: w, h = args[0] else: w, h = args dpival = self.dpi self.bbox_inches.p1 = w, h if forward: dpival = self.dpi canvasw = w * dpival canvash = h * dpival manager = getattr(self.canvas, 'manager', None) if manager is not None: manager.resize(int(canvasw), int(canvash)) def get_size_inches(self): return self.bbox_inches.p1 def get_edgecolor(self): 'Get the edge color of the Figure rectangle' return self.patch.get_edgecolor() def get_facecolor(self): 'Get the face color of the Figure rectangle' return self.patch.get_facecolor() def get_figwidth(self): 'Return the figwidth as a float' return self.bbox_inches.width def get_figheight(self): 'Return the figheight as a float' return self.bbox_inches.height def get_dpi(self): 'Return the dpi as a float' return self.dpi def get_frameon(self): 'get the boolean indicating frameon' return self.frameon def set_edgecolor(self, color): """ Set the edge color of the Figure rectangle ACCEPTS: any matplotlib color - see help(colors) """ self.patch.set_edgecolor(color) def set_facecolor(self, color): """ Set the face color of the Figure rectangle ACCEPTS: any matplotlib color - see help(colors) """ self.patch.set_facecolor(color) def set_dpi(self, val): """ Set the dots-per-inch of the figure ACCEPTS: float """ self.dpi = val def set_figwidth(self, val): """ Set the width of the figure in inches ACCEPTS: float """ self.bbox_inches.x1 = val def set_figheight(self, val): """ Set the height of the figure in inches ACCEPTS: float """ self.bbox_inches.y1 = val def set_frameon(self, b): """ Set whether the figure frame (background) is displayed or invisible ACCEPTS: boolean """ self.frameon = b def delaxes(self, a): 'remove a from the figure and update the current axes' self.axes.remove(a) self._axstack.remove(a) keys = [] for key, thisax in self._seen.items(): if a == thisax: del self._seen[key] for func in self._axobservers: func(self) def _make_key(self, *args, **kwargs): 'make a hashable key out of args and kwargs' def fixitems(items): #items may have arrays and lists in them, so convert them # to tuples for the key ret = [] for k, v in items: if iterable(v): v = tuple(v) ret.append((k, v)) return tuple(ret) def fixlist(args): ret = [] for a in args: if iterable(a): a = tuple(a) ret.append(a) return tuple(ret) key = fixlist(args), fixitems(kwargs.items()) return key def add_axes(self, *args, **kwargs): """ Add an a axes with axes rect [*left*, *bottom*, *width*, *height*] where all quantities are in fractions of figure width and height. kwargs are legal :class:`~matplotlib.axes.Axes` kwargs plus *projection* which sets the projection type of the axes. (For backward compatibility, ``polar=True`` may also be provided, which is equivalent to ``projection='polar'``). Valid values for *projection* are: %(list)s. Some of these projections support additional kwargs, which may be provided to :meth:`add_axes`:: rect = l,b,w,h fig.add_axes(rect) fig.add_axes(rect, frameon=False, axisbg='g') fig.add_axes(rect, polar=True) fig.add_axes(rect, projection='polar') fig.add_axes(ax) # add an Axes instance If the figure already has an axes with the same parameters, then it will simply make that axes current and return it. If you do not want this behavior, eg. you want to force the creation of a new axes, you must use a unique set of args and kwargs. The axes :attr:`~matplotlib.axes.Axes.label` attribute has been exposed for this purpose. Eg., if you want two axes that are otherwise identical to be added to the figure, make sure you give them unique labels:: fig.add_axes(rect, label='axes1') fig.add_axes(rect, label='axes2') The :class:`~matplotlib.axes.Axes` instance will be returned. The following kwargs are supported: %(Axes)s """ key = self._make_key(*args, **kwargs) if key in self._seen: ax = self._seen[key] self.sca(ax) return ax if not len(args): return if isinstance(args[0], Axes): a = args[0] assert (a.get_figure() is self) else: rect = args[0] ispolar = kwargs.pop('polar', False) projection = kwargs.pop('projection', None) if ispolar: if projection is not None and projection != 'polar': raise ValueError( "polar=True, yet projection='%s'. " + "Only one of these arguments should be supplied." % projection) projection = 'polar' a = projection_factory(projection, self, rect, **kwargs) self.axes.append(a) self._axstack.push(a) self.sca(a) self._seen[key] = a return a add_axes.__doc__ = dedent(add_axes.__doc__) % \ {'list': (", ".join(get_projection_names())), 'Axes': artist.kwdocd['Axes']} def add_subplot(self, *args, **kwargs): """ Add a subplot. Examples: fig.add_subplot(111) fig.add_subplot(1,1,1) # equivalent but more general fig.add_subplot(212, axisbg='r') # add subplot with red background fig.add_subplot(111, polar=True) # add a polar subplot fig.add_subplot(sub) # add Subplot instance sub *kwargs* are legal :class:`!matplotlib.axes.Axes` kwargs plus *projection*, which chooses a projection type for the axes. (For backward compatibility, *polar=True* may also be provided, which is equivalent to *projection='polar'*). Valid values for *projection* are: %(list)s. Some of these projections support additional *kwargs*, which may be provided to :meth:`add_axes`. The :class:`~matplotlib.axes.Axes` instance will be returned. If the figure already has a subplot with key (*args*, *kwargs*) then it will simply make that subplot current and return it. The following kwargs are supported: %(Axes)s """ kwargs = kwargs.copy() if not len(args): return if isinstance(args[0], SubplotBase): a = args[0] assert (a.get_figure() is self) else: ispolar = kwargs.pop('polar', False) projection = kwargs.pop('projection', None) if ispolar: if projection is not None and projection != 'polar': raise ValueError( "polar=True, yet projection='%s'. " + "Only one of these arguments should be supplied." % projection) projection = 'polar' projection_class = get_projection_class(projection) key = self._make_key(*args, **kwargs) if key in self._seen: ax = self._seen[key] if isinstance(ax, projection_class): self.sca(ax) return ax else: self.axes.remove(ax) self._axstack.remove(ax) a = subplot_class_factory(projection_class)(self, *args, **kwargs) self._seen[key] = a self.axes.append(a) self._axstack.push(a) self.sca(a) return a add_subplot.__doc__ = dedent(add_subplot.__doc__) % { 'list': ", ".join(get_projection_names()), 'Axes': artist.kwdocd['Axes'] } def clf(self): """ Clear the figure """ self.suppressComposite = None self.callbacks = cbook.CallbackRegistry(('dpi_changed', )) for ax in tuple(self.axes): # Iterate over the copy. ax.cla() self.delaxes(ax) # removes ax from self.axes toolbar = getattr(self.canvas, 'toolbar', None) if toolbar is not None: toolbar.update() self._axstack.clear() self._seen = {} self.artists = [] self.lines = [] self.patches = [] self.texts = [] self.images = [] self.legends = [] self._axobservers = [] def clear(self): """ Clear the figure -- synonym for fig.clf """ self.clf() @allow_rasterization def draw(self, renderer): """ Render the figure using :class:`matplotlib.backend_bases.RendererBase` instance renderer """ # draw the figure bounding box, perhaps none for white figure #print 'figure draw' if not self.get_visible(): return renderer.open_group('figure') if self.frameon: self.patch.draw(renderer) # todo: respect zorder for p in self.patches: p.draw(renderer) for l in self.lines: l.draw(renderer) for a in self.artists: a.draw(renderer) # override the renderer default if self.suppressComposite # is not None composite = renderer.option_image_nocomposite() if self.suppressComposite is not None: composite = self.suppressComposite if len(self.images) <= 1 or composite or not allequal( [im.origin for im in self.images]): for im in self.images: im.draw(renderer) else: # make a composite image blending alpha # list of (_image.Image, ox, oy) mag = renderer.get_image_magnification() ims = [(im.make_image(mag), im.ox, im.oy) for im in self.images] im = _image.from_images(self.bbox.height * mag, self.bbox.width * mag, ims) im.is_grayscale = False l, b, w, h = self.bbox.bounds clippath, affine = self.get_transformed_clip_path_and_affine() renderer.draw_image(l, b, im, self.bbox, clippath, affine) # render the axes for a in self.axes: a.draw(renderer) # render the figure text for t in self.texts: t.draw(renderer) for legend in self.legends: legend.draw(renderer) renderer.close_group('figure') self._cachedRenderer = renderer self.canvas.draw_event(renderer) def draw_artist(self, a): """ draw :class:`matplotlib.artist.Artist` instance *a* only -- this is available only after the figure is drawn """ assert self._cachedRenderer is not None a.draw(self._cachedRenderer) def get_axes(self): return self.axes def legend(self, handles, labels, *args, **kwargs): """ Place a legend in the figure. Labels are a sequence of strings, handles is a sequence of :class:`~matplotlib.lines.Line2D` or :class:`~matplotlib.patches.Patch` instances, and loc can be a string or an integer specifying the legend location USAGE:: legend( (line1, line2, line3), ('label1', 'label2', 'label3'), 'upper right') The *loc* location codes are:: 'best' : 0, (currently not supported for figure legends) 'upper right' : 1, 'upper left' : 2, 'lower left' : 3, 'lower right' : 4, 'right' : 5, 'center left' : 6, 'center right' : 7, 'lower center' : 8, 'upper center' : 9, 'center' : 10, *loc* can also be an (x,y) tuple in figure coords, which specifies the lower left of the legend box. figure coords are (0,0) is the left, bottom of the figure and 1,1 is the right, top. Keyword arguments: *prop*: [ None | FontProperties | dict ] A :class:`matplotlib.font_manager.FontProperties` instance. If *prop* is a dictionary, a new instance will be created with *prop*. If *None*, use rc settings. *numpoints*: integer The number of points in the legend line, default is 4 *scatterpoints*: integer The number of points in the legend line, default is 4 *scatteroffsets*: list of floats a list of yoffsets for scatter symbols in legend *markerscale*: [ None | scalar ] The relative size of legend markers vs. original. If *None*, use rc settings. *fancybox*: [ None | False | True ] if True, draw a frame with a round fancybox. If None, use rc *shadow*: [ None | False | True ] If *True*, draw a shadow behind legend. If *None*, use rc settings. *ncol* : integer number of columns. default is 1 *mode* : [ "expand" | None ] if mode is "expand", the legend will be horizontally expanded to fill the axes area (or *bbox_to_anchor*) *title* : string the legend title Padding and spacing between various elements use following keywords parameters. The dimensions of these values are given as a fraction of the fontsize. Values from rcParams will be used if None. ================ ================================================================== Keyword Description ================ ================================================================== borderpad the fractional whitespace inside the legend border labelspacing the vertical space between the legend entries handlelength the length of the legend handles handletextpad the pad between the legend handle and text borderaxespad the pad between the axes and legend border columnspacing the spacing between columns ================ ================================================================== **Example:** .. plot:: mpl_examples/pylab_examples/figlegend_demo.py """ handles = flatten(handles) l = Legend(self, handles, labels, *args, **kwargs) self.legends.append(l) return l def text(self, x, y, s, *args, **kwargs): """ Call signature:: figtext(x, y, s, fontdict=None, **kwargs) Add text to figure at location *x*, *y* (relative 0-1 coords). See :func:`~matplotlib.pyplot.text` for the meaning of the other arguments. kwargs control the :class:`~matplotlib.text.Text` properties: %(Text)s """ override = _process_text_args({}, *args, **kwargs) t = Text( x=x, y=y, text=s, ) t.update(override) self._set_artist_props(t) self.texts.append(t) return t text.__doc__ = dedent(text.__doc__) % artist.kwdocd def _set_artist_props(self, a): if a != self: a.set_figure(self) a.set_transform(self.transFigure) def gca(self, **kwargs): """ Return the current axes, creating one if necessary The following kwargs are supported %(Axes)s """ ax = self._axstack() if ax is not None: ispolar = kwargs.get('polar', False) projection = kwargs.get('projection', None) if ispolar: if projection is not None and projection != 'polar': raise ValueError( "polar=True, yet projection='%s'. " + "Only one of these arguments should be supplied." % projection) projection = 'polar' projection_class = get_projection_class(projection) if isinstance(ax, projection_class): return ax return self.add_subplot(111, **kwargs) gca.__doc__ = dedent(gca.__doc__) % artist.kwdocd def sca(self, a): 'Set the current axes to be a and return a' self._axstack.bubble(a) for func in self._axobservers: func(self) return a def add_axobserver(self, func): 'whenever the axes state change, func(self) will be called' self._axobservers.append(func) def savefig(self, *args, **kwargs): """ call signature:: savefig(fname, dpi=None, facecolor='w', edgecolor='w', orientation='portrait', papertype=None, format=None, transparent=False): Save the current figure. The output formats available depend on the backend being used. Arguments: *fname*: A string containing a path to a filename, or a Python file-like object. If *format* is *None* and *fname* is a string, the output format is deduced from the extension of the filename. Keyword arguments: *dpi*: [ None | scalar > 0 ] The resolution in dots per inch. If *None* it will default to the value ``savefig.dpi`` in the matplotlibrc file. *facecolor*, *edgecolor*: the colors of the figure rectangle *orientation*: [ 'landscape' | 'portrait' ] not supported on all backends; currently only on postscript output *papertype*: One of 'letter', 'legal', 'executive', 'ledger', 'a0' through 'a10', 'b0' through 'b10'. Only supported for postscript output. *format*: One of the file extensions supported by the active backend. Most backends support png, pdf, ps, eps and svg. *transparent*: If *True*, the figure patch and axes patches will all be transparent. This is useful, for example, for displaying a plot on top of a colored background on a web page. The transparency of these patches will be restored to their original values upon exit of this function. *bbox_inches*: Bbox in inches. Only the given portion of the figure is saved. If 'tight', try to figure out the tight bbox of the figure. *pad_inches*: Amount of padding around the figure when bbox_inches is 'tight'. """ for key in ('dpi', 'facecolor', 'edgecolor'): if key not in kwargs: kwargs[key] = rcParams['savefig.%s' % key] transparent = kwargs.pop('transparent', False) if transparent: original_figure_alpha = self.patch.get_alpha() self.patch.set_alpha(0.0) original_axes_alpha = [] for ax in self.axes: patch = ax.patch original_axes_alpha.append(patch.get_alpha()) patch.set_alpha(0.0) self.canvas.print_figure(*args, **kwargs) if transparent: self.patch.set_alpha(original_figure_alpha) for ax, alpha in zip(self.axes, original_axes_alpha): ax.patch.set_alpha(alpha) def colorbar(self, mappable, cax=None, ax=None, **kw): if ax is None: ax = self.gca() if cax is None: cax, kw = cbar.make_axes(ax, **kw) cax.hold(True) cb = cbar.Colorbar(cax, mappable, **kw) def on_changed(m): #print 'calling on changed', m.get_cmap().name cb.set_cmap(m.get_cmap()) cb.set_clim(m.get_clim()) cb.update_bruteforce(m) self.cbid = mappable.callbacksSM.connect('changed', on_changed) mappable.set_colorbar(cb, cax) self.sca(ax) return cb colorbar.__doc__ = ''' Create a colorbar for a ScalarMappable instance. Documentation for the pylab thin wrapper: %s ''' % cbar.colorbar_doc def subplots_adjust(self, *args, **kwargs): """ fig.subplots_adjust(left=None, bottom=None, right=None, wspace=None, hspace=None) Update the :class:`SubplotParams` with *kwargs* (defaulting to rc where None) and update the subplot locations """ self.subplotpars.update(*args, **kwargs) import matplotlib.axes for ax in self.axes: if not isinstance(ax, matplotlib.axes.SubplotBase): # Check if sharing a subplots axis if ax._sharex is not None and isinstance( ax._sharex, matplotlib.axes.SubplotBase): ax._sharex.update_params() ax.set_position(ax._sharex.figbox) elif ax._sharey is not None and isinstance( ax._sharey, matplotlib.axes.SubplotBase): ax._sharey.update_params() ax.set_position(ax._sharey.figbox) else: ax.update_params() ax.set_position(ax.figbox) def ginput(self, n=1, timeout=30, show_clicks=True): """ call signature:: ginput(self, n=1, timeout=30, show_clicks=True) Blocking call to interact with the figure. This will wait for *n* clicks from the user and return a list of the coordinates of each click. If *timeout* is zero or negative, does not timeout. If *n* is zero or negative, accumulate clicks until a middle click (or potentially both mouse buttons at once) terminates the input. Right clicking cancels last input. The keyboard can also be used to select points in case your mouse does not have one or more of the buttons. The delete and backspace keys act like right clicking (i.e., remove last point), the enter key terminates input and any other key (not already used by the window manager) selects a point. """ blocking_mouse_input = BlockingMouseInput(self) return blocking_mouse_input(n=n, timeout=timeout, show_clicks=show_clicks) def waitforbuttonpress(self, timeout=-1): """ call signature:: waitforbuttonpress(self, timeout=-1) Blocking call to interact with the figure. This will return True is a key was pressed, False if a mouse button was pressed and None if *timeout* was reached without either being pressed. If *timeout* is negative, does not timeout. """ blocking_input = BlockingKeyMouseInput(self) return blocking_input(timeout=timeout) def get_tightbbox(self, renderer): """ Return a (tight) bounding box of the figure in inches. It only accounts axes title, axis labels, and axis ticklabels. Needs improvement. """ bb = [] for ax in self.axes: if ax.get_visible(): bb.append(ax.get_tightbbox(renderer)) _bbox = Bbox.union([b for b in bb if b.width != 0 or b.height != 0]) bbox_inches = TransformedBbox(_bbox, Affine2D().scale(1. / self.dpi)) return bbox_inches
class Figure(Artist): def __str__(self): return "Figure(%gx%g)" % (self.figwidth.get(), self.figheight.get()) def __init__( self, figsize=None, # defaults to rc figure.figsize dpi=None, # defaults to rc figure.dpi facecolor=None, # defaults to rc figure.facecolor edgecolor=None, # defaults to rc figure.edgecolor linewidth=1.0, # the default linewidth of the frame frameon=True, # whether or not to draw the figure frame subplotpars=None, # default to rc ): """ figsize is a w,h tuple in inches dpi is dots per inch subplotpars is a SubplotParams instance, defaults to rc """ Artist.__init__(self) if figsize is None: figsize = rcParams['figure.figsize'] if dpi is None: dpi = rcParams['figure.dpi'] if facecolor is None: facecolor = rcParams['figure.facecolor'] if edgecolor is None: edgecolor = rcParams['figure.edgecolor'] self.dpi = Value(dpi) self.figwidth = Value(figsize[0]) self.figheight = Value(figsize[1]) self.ll = Point(Value(0), Value(0)) self.ur = Point(self.figwidth * self.dpi, self.figheight * self.dpi) self.bbox = Bbox(self.ll, self.ur) self.frameon = frameon self.transFigure = get_bbox_transform(unit_bbox(), self.bbox) self.figurePatch = Rectangle( xy=(0, 0), width=1, height=1, facecolor=facecolor, edgecolor=edgecolor, linewidth=linewidth, ) self._set_artist_props(self.figurePatch) self._hold = rcParams['axes.hold'] self.canvas = None if subplotpars is None: subplotpars = SubplotParams() self.subplotpars = subplotpars self._axstack = Stack() # maintain the current axes self.axes = [] self.clf() self._cachedRenderer = None def autofmt_xdate(self, bottom=0.2, rotation=30, ha='right'): """ Date ticklabels often overlap, so it is useful to rotate them and right align them. Also, a common use case is a number of subplots with shared xaxes where the x-axis is date data. The ticklabels are often long, and it helps to rotate them on the bottom subplot and turn them off on other subplots, as well as turn off xlabels. bottom : the bottom of the subplots for subplots_adjust rotation: the rotation of the xtick labels ha : the horizontal alignment of the xticklabels """ allsubplots = npy.alltrue( [hasattr(ax, 'is_last_row') for ax in self.axes]) if len(self.axes) == 1: for label in ax.get_xticklabels(): label.set_ha(ha) label.set_rotation(rotation) else: if allsubplots: for ax in self.get_axes(): if ax.is_last_row(): for label in ax.get_xticklabels(): label.set_ha(ha) label.set_rotation(rotation) else: for label in ax.get_xticklabels(): label.set_visible(False) ax.set_xlabel('') if allsubplots: self.subplots_adjust(bottom=bottom) def get_children(self): 'get a list of artists contained in the figure' children = [self.figurePatch] children.extend(self.axes) children.extend(self.lines) children.extend(self.patches) children.extend(self.texts) children.extend(self.images) children.extend(self.legends) return children def contains(self, mouseevent): """Test whether the mouse event occurred on the figure. Returns True,{} """ if callable(self._contains): return self._contains(self, mouseevent) #inside = mouseevent.x >= 0 and mouseevent.y >= 0 inside = self.bbox.contains(mouseevent.x, mouseevent.y) return inside, {} def get_window_extent(self, *args, **kwargs): 'get the figure bounding box in display space; kwargs are void' return self.bbox def set_canvas(self, canvas): """ Set the canvas the contains the figure ACCEPTS: a FigureCanvas instance """ self.canvas = canvas def hold(self, b=None): """ Set the hold state. If hold is None (default), toggle the hold state. Else set the hold state to boolean value b. Eg hold() # toggle hold hold(True) # hold is on hold(False) # hold is off """ if b is None: self._hold = not self._hold else: self._hold = b def figimage(self, X, xo=0, yo=0, alpha=1.0, norm=None, cmap=None, vmin=None, vmax=None, origin=None): """ FIGIMAGE(X) # add non-resampled array to figure FIGIMAGE(X, xo, yo) # with pixel offsets FIGIMAGE(X, **kwargs) # control interpolation ,scaling, etc Add a nonresampled figure to the figure from array X. xo and yo are offsets in pixels X must be a float array If X is MxN, assume luminance (grayscale) If X is MxNx3, assume RGB If X is MxNx4, assume RGBA The following kwargs are allowed: * cmap is a cm colormap instance, eg cm.jet. If None, default to the rc image.cmap valuex * norm is a matplotlib.colors.Normalize instance; default is normalization(). This scales luminance -> 0-1 * vmin and vmax are used to scale a luminance image to 0-1. If either is None, the min and max of the luminance values will be used. Note if you pass a norm instance, the settings for vmin and vmax will be ignored. * alpha = 1.0 : the alpha blending value * origin is either 'upper' or 'lower', which indicates where the [0,0] index of the array is in the upper left or lower left corner of the axes. Defaults to the rc image.origin value This complements the axes image (Axes.imshow) which will be resampled to fit the current axes. If you want a resampled image to fill the entire figure, you can define an Axes with size [0,1,0,1]. A image.FigureImage instance is returned. """ if not self._hold: self.clf() im = FigureImage(self, cmap, norm, xo, yo, origin) im.set_array(X) im.set_alpha(alpha) if norm is None: im.set_clim(vmin, vmax) self.images.append(im) return im def set_figsize_inches(self, *args, **kwargs): import warnings warnings.warn('Use set_size_inches instead!', DeprecationWarning) self.set_size_inches(*args, **kwargs) def set_size_inches(self, *args, **kwargs): """ set_size_inches(w,h, forward=False) Set the figure size in inches Usage: set_size_inches(self, w,h) OR set_size_inches(self, (w,h) ) optional kwarg forward=True will cause the canvas size to be automatically updated; eg you can resize the figure window from the shell WARNING: forward=True is broken on all backends except GTK* ACCEPTS: a w,h tuple with w,h in inches """ forward = kwargs.get('forward', False) if len(args) == 1: w, h = args[0] else: w, h = args self.figwidth.set(w) self.figheight.set(h) if forward: dpival = self.dpi.get() canvasw = w * dpival canvash = h * dpival manager = getattr(self.canvas, 'manager', None) if manager is not None: manager.resize(int(canvasw), int(canvash)) def get_size_inches(self): return self.figwidth.get(), self.figheight.get() def get_edgecolor(self): 'Get the edge color of the Figure rectangle' return self.figurePatch.get_edgecolor() def get_facecolor(self): 'Get the face color of the Figure rectangle' return self.figurePatch.get_facecolor() def get_figwidth(self): 'Return the figwidth as a float' return self.figwidth.get() def get_figheight(self): 'Return the figheight as a float' return self.figheight.get() def get_dpi(self): 'Return the dpi as a float' return self.dpi.get() def get_frameon(self): 'get the boolean indicating frameon' return self.frameon def set_edgecolor(self, color): """ Set the edge color of the Figure rectangle ACCEPTS: any matplotlib color - see help(colors) """ self.figurePatch.set_edgecolor(color) def set_facecolor(self, color): """ Set the face color of the Figure rectangle ACCEPTS: any matplotlib color - see help(colors) """ self.figurePatch.set_facecolor(color) def set_dpi(self, val): """ Set the dots-per-inch of the figure ACCEPTS: float """ self.dpi.set(val) def set_figwidth(self, val): """ Set the width of the figure in inches ACCEPTS: float """ self.figwidth.set(val) def set_figheight(self, val): """ Set the height of the figure in inches ACCEPTS: float """ self.figheight.set(val) def set_frameon(self, b): """ Set whether the figure frame (background) is displayed or invisible ACCEPTS: boolean """ self.frameon = b def delaxes(self, a): 'remove a from the figure and update the current axes' self.axes.remove(a) self._axstack.remove(a) keys = [] for key, thisax in self._seen.items(): if a == thisax: del self._seen[key] for func in self._axobservers: func(self) def _make_key(self, *args, **kwargs): 'make a hashable key out of args and kwargs' def fixitems(items): #items may have arrays and lists in them, so convert them # to tuples for the key ret = [] for k, v in items: if iterable(v): v = tuple(v) ret.append((k, v)) return tuple(ret) def fixlist(args): ret = [] for a in args: if iterable(a): a = tuple(a) ret.append(a) return tuple(ret) key = fixlist(args), fixitems(kwargs.items()) return key def add_axes(self, *args, **kwargs): """ Add an a axes with axes rect [left, bottom, width, height] where all quantities are in fractions of figure width and height. kwargs are legal Axes kwargs plus "polar" which sets whether to create a polar axes rect = l,b,w,h add_axes(rect) add_axes(rect, frameon=False, axisbg='g') add_axes(rect, polar=True) add_axes(ax) # add an Axes instance If the figure already has an axes with key *args, *kwargs then it will simply make that axes current and return it. If you do not want this behavior, eg you want to force the creation of a new axes, you must use a unique set of args and kwargs. The artist "label" attribute has been exposed for this purpose. Eg, if you want two axes that are otherwise identical to be added to the figure, make sure you give them unique labels: add_axes(rect, label='axes1') add_axes(rect, label='axes2') The Axes instance will be returned The following kwargs are supported: %(Axes)s """ key = self._make_key(*args, **kwargs) if self._seen.has_key(key): ax = self._seen[key] self.sca(ax) return ax if not len(args): return if isinstance(args[0], Axes): a = args[0] assert (a.get_figure() is self) else: rect = args[0] ispolar = kwargs.pop('polar', False) if ispolar: a = PolarAxes(self, rect, **kwargs) else: a = Axes(self, rect, **kwargs) self.axes.append(a) self._axstack.push(a) self.sca(a) self._seen[key] = a return a add_axes.__doc__ = dedent(add_axes.__doc__) % artist.kwdocd def add_subplot(self, *args, **kwargs): """ Add a subplot. Examples add_subplot(111) add_subplot(1,1,1) # equivalent but more general add_subplot(212, axisbg='r') # add subplot with red background add_subplot(111, polar=True) # add a polar subplot add_subplot(sub) # add Subplot instance sub kwargs are legal Axes kwargs plus"polar" which sets whether to create a polar axes. The Axes instance will be returned. If the figure already has a subplot with key *args, *kwargs then it will simply make that subplot current and return it The following kwargs are supported: %(Axes)s """ key = self._make_key(*args, **kwargs) if self._seen.has_key(key): ax = self._seen[key] self.sca(ax) return ax if not len(args): return if isinstance(args[0], Subplot) or isinstance(args[0], PolarSubplot): a = args[0] assert (a.get_figure() is self) else: ispolar = kwargs.pop('polar', False) if ispolar: a = PolarSubplot(self, *args, **kwargs) else: a = Subplot(self, *args, **kwargs) self.axes.append(a) self._axstack.push(a) self.sca(a) self._seen[key] = a return a add_subplot.__doc__ = dedent(add_subplot.__doc__) % artist.kwdocd def clf(self): """ Clear the figure """ for ax in tuple(self.axes): # Iterate over the copy. ax.cla() self.delaxes(ax) # removes ax from self.axes toolbar = getattr(self.canvas, 'toolbar', None) if toolbar is not None: toolbar.update() self._axstack.clear() self._seen = {} self.lines = [] self.patches = [] self.texts = [] self.images = [] self.legends = [] self._axobservers = [] def clear(self): """ Clear the figure """ self.clf() def draw(self, renderer): """ Render the figure using Renderer instance renderer """ # draw the figure bounding box, perhaps none for white figure #print 'figure draw' if not self.get_visible(): return renderer.open_group('figure') self.transFigure.freeze() # eval the lazy objects if self.frameon: self.figurePatch.draw(renderer) for p in self.patches: p.draw(renderer) for l in self.lines: l.draw(renderer) if len(self.images) <= 1 or renderer.option_image_nocomposite( ) or not allequal([im.origin for im in self.images]): for im in self.images: im.draw(renderer) else: # make a composite image blending alpha # list of (_image.Image, ox, oy) mag = renderer.get_image_magnification() ims = [(im.make_image(mag), im.ox * mag, im.oy * mag) for im in self.images] im = _image.from_images(self.bbox.height() * mag, self.bbox.width() * mag, ims) im.is_grayscale = False l, b, w, h = self.bbox.get_bounds() renderer.draw_image(l, b, im, self.bbox) # render the axes for a in self.axes: a.draw(renderer) # render the figure text for t in self.texts: t.draw(renderer) for legend in self.legends: legend.draw(renderer) self.transFigure.thaw() # release the lazy objects renderer.close_group('figure') self._cachedRenderer = renderer self.canvas.draw_event(renderer) def draw_artist(self, a): 'draw artist only -- this is available only after the figure is drawn' assert self._cachedRenderer is not None a.draw(self._cachedRenderer) def get_axes(self): return self.axes def legend(self, handles, labels, *args, **kwargs): """ Place a legend in the figure. Labels are a sequence of strings, handles is a sequence of line or patch instances, and loc can be a string or an integer specifying the legend location USAGE: legend( (line1, line2, line3), ('label1', 'label2', 'label3'), 'upper right') The LOC location codes are 'best' : 0, (currently not supported for figure legends) 'upper right' : 1, 'upper left' : 2, 'lower left' : 3, 'lower right' : 4, 'right' : 5, 'center left' : 6, 'center right' : 7, 'lower center' : 8, 'upper center' : 9, 'center' : 10, loc can also be an (x,y) tuple in figure coords, which specifies the lower left of the legend box. figure coords are (0,0) is the left, bottom of the figure and 1,1 is the right, top. The legend instance is returned. The following kwargs are supported: loc = "upper right" # numpoints = 4 # the number of points in the legend line prop = FontProperties(size='smaller') # the font property pad = 0.2 # the fractional whitespace inside the legend border markerscale = 0.6 # the relative size of legend markers vs. original shadow # if True, draw a shadow behind legend labelsep = 0.005 # the vertical space between the legend entries handlelen = 0.05 # the length of the legend lines handletextsep = 0.02 # the space between the legend line and legend text axespad = 0.02 # the border between the axes and legend edge """ handles = flatten(handles) l = Legend(self, handles, labels, *args, **kwargs) self._set_artist_props(l) self.legends.append(l) return l def text(self, x, y, s, *args, **kwargs): """ Add text to figure at location x,y (relative 0-1 coords) See the help for Axis text for the meaning of the other arguments kwargs control the Text properties: %(Text)s """ override = _process_text_args({}, *args, **kwargs) t = Text( x=x, y=y, text=s, ) t.update(override) self._set_artist_props(t) self.texts.append(t) return t text.__doc__ = dedent(text.__doc__) % artist.kwdocd def _set_artist_props(self, a): if a != self: a.set_figure(self) a.set_transform(self.transFigure) def gca(self, **kwargs): """ Return the current axes, creating one if necessary The following kwargs are supported %(Axes)s """ ax = self._axstack() if ax is not None: return ax return self.add_subplot(111, **kwargs) gca.__doc__ = dedent(gca.__doc__) % artist.kwdocd def sca(self, a): 'Set the current axes to be a and return a' self._axstack.bubble(a) for func in self._axobservers: func(self) return a def add_axobserver(self, func): 'whenever the axes state change, func(self) will be called' self._axobservers.append(func) def savefig(self, *args, **kwargs): """ SAVEFIG(fname, dpi=None, facecolor='w', edgecolor='w', orientation='portrait', papertype=None, format=None): Save the current figure. fname - the filename to save the current figure to. The output formats supported depend on the backend being used. and are deduced by the extension to fname. Possibilities are eps, jpeg, pdf, png, ps, svg. fname can also be a file or file-like object - cairo backend only. dpi - is the resolution in dots per inch. If None it will default to the value savefig.dpi in the matplotlibrc file facecolor and edgecolor are the colors of the figure rectangle orientation is either 'landscape' or 'portrait' - not supported on all backends; currently only on postscript output papertype is is one of 'letter', 'legal', 'executive', 'ledger', 'a0' through 'a10', or 'b0' through 'b10' - only supported for postscript output format - one of the file extensions supported by the active backend. """ for key in ('dpi', 'facecolor', 'edgecolor'): if not kwargs.has_key(key): kwargs[key] = rcParams['savefig.%s' % key] self.canvas.print_figure(*args, **kwargs) def colorbar(self, mappable, cax=None, ax=None, **kw): if ax is None: ax = self.gca() if cax is None: cax, kw = cbar.make_axes(ax, **kw) cb = cbar.Colorbar(cax, mappable, **kw) mappable.add_observer(cb) mappable.set_colorbar(cb, cax) self.sca(ax) return cb colorbar.__doc__ = ''' Create a colorbar for a ScalarMappable instance. Documentation for the pylab thin wrapper: %s ''' % cbar.colorbar_doc def subplots_adjust(self, *args, **kwargs): """ subplots_adjust(self, left=None, bottom=None, right=None, top=None, wspace=None, hspace=None) fig.subplots_adjust(left=None, bottom=None, right=None, wspace=None, hspace=None): Update the SubplotParams with kwargs (defaulting to rc where None) and update the subplot locations """ self.subplotpars.update(*args, **kwargs) import matplotlib.axes for ax in self.axes: if not isinstance(ax, matplotlib.axes.Subplot): # Check if sharing a subplots axis if ax._sharex is not None and isinstance( ax._sharex, matplotlib.axes.Subplot): ax._sharex.update_params() ax.set_position([ ax._sharex.figLeft, ax._sharex.figBottom, ax._sharex.figW, ax._sharex.figH ]) elif ax._sharey is not None and isinstance( ax._sharey, matplotlib.axes.Subplot): ax._sharey.update_params() ax.set_position([ ax._sharey.figLeft, ax._sharey.figBottom, ax._sharey.figW, ax._sharey.figH ]) else: ax.update_params() ax.set_position([ax.figLeft, ax.figBottom, ax.figW, ax.figH])
""" Return a scale class by name. ACCEPTS: [ %(names)s ] """ scale = scale.lower() if scale is None: scale = "linear" if scale not in _scale_mapping: raise ValueError("Unknown scale type '%s'" % scale) return _scale_mapping[scale](axis, **kwargs) scale_factory.__doc__ = dedent(scale_factory.__doc__) % {"names": " | ".join(get_scale_names())} def register_scale(scale_class): """ Register a new kind of scale. *scale_class* must be a subclass of :class:`ScaleBase`. """ _scale_mapping[scale_class.name] = scale_class def get_scale_docs(): """ Helper function for generating docstrings related to scales. """