class CbarAxesBase: def __init__(self, *args, orientation, **kwargs): self.orientation = orientation self._default_label_on = True self._locator = None # deprecated. super().__init__(*args, **kwargs) def colorbar(self, mappable, *, ticks=None, **kwargs): if self.orientation in ["top", "bottom"]: orientation = "horizontal" else: orientation = "vertical" cb = mpl.colorbar.Colorbar(self, mappable, orientation=orientation, ticks=ticks, **kwargs) self._cbid = mappable.colorbar_cid # deprecated in 3.3. self._locator = cb.locator # deprecated in 3.3. self._config_axes() return cb cbid = cbook._deprecate_privatize_attribute( "3.3", alternative="mappable.colorbar_cid") locator = cbook._deprecate_privatize_attribute( "3.3", alternative=".colorbar().locator") def _config_axes(self): """Make an axes patch and outline.""" ax = self ax.set_navigate(False) ax.axis[:].toggle(all=False) b = self._default_label_on ax.axis[self.orientation].toggle(all=b) def toggle_label(self, b): self._default_label_on = b axis = self.axis[self.orientation] axis.toggle(ticklabels=b, label=b) def cla(self): super().cla() self._config_axes()
class RendererPgf(RendererBase): @cbook._delete_parameter("3.3", "dummy") def __init__(self, figure, fh, dummy=False): """ Create a new PGF renderer that translates any drawing instruction into text commands to be interpreted in a latex pgfpicture environment. Attributes ---------- figure : `matplotlib.figure.Figure` Matplotlib figure to initialize height, width and dpi from. fh : file-like File handle for the output of the drawing commands. """ super().__init__() self.dpi = figure.dpi self.fh = fh self.figure = figure self.image_counter = 0 self._latexManager = LatexManager._get_cached_or_new() # deprecated if dummy: # dummy==True deactivate all methods for m in RendererPgf.__dict__: if m.startswith("draw_"): self.__dict__[m] = lambda *args, **kwargs: None latexManager = cbook._deprecate_privatize_attribute("3.2") def draw_markers(self, gc, marker_path, marker_trans, path, trans, rgbFace=None): # docstring inherited writeln(self.fh, r"\begin{pgfscope}") # convert from display units to in f = 1. / self.dpi # set style and clip self._print_pgf_clip(gc) self._print_pgf_path_styles(gc, rgbFace) # build marker definition bl, tr = marker_path.get_extents(marker_trans).get_points() coords = bl[0] * f, bl[1] * f, tr[0] * f, tr[1] * f writeln(self.fh, r"\pgfsys@defobject{currentmarker}" r"{\pgfqpoint{%fin}{%fin}}{\pgfqpoint{%fin}{%fin}}{" % coords) self._print_pgf_path(None, marker_path, marker_trans) self._pgf_path_draw(stroke=gc.get_linewidth() != 0.0, fill=rgbFace is not None) writeln(self.fh, r"}") # draw marker for each vertex for point, code in path.iter_segments(trans, simplify=False): x, y = point[0] * f, point[1] * f writeln(self.fh, r"\begin{pgfscope}") writeln(self.fh, r"\pgfsys@transformshift{%fin}{%fin}" % (x, y)) writeln(self.fh, r"\pgfsys@useobject{currentmarker}{}") writeln(self.fh, r"\end{pgfscope}") writeln(self.fh, r"\end{pgfscope}") def draw_path(self, gc, path, transform, rgbFace=None): # docstring inherited writeln(self.fh, r"\begin{pgfscope}") # draw the path self._print_pgf_clip(gc) self._print_pgf_path_styles(gc, rgbFace) self._print_pgf_path(gc, path, transform, rgbFace) self._pgf_path_draw(stroke=gc.get_linewidth() != 0.0, fill=rgbFace is not None) writeln(self.fh, r"\end{pgfscope}") # if present, draw pattern on top if gc.get_hatch(): writeln(self.fh, r"\begin{pgfscope}") self._print_pgf_path_styles(gc, rgbFace) # combine clip and path for clipping self._print_pgf_clip(gc) self._print_pgf_path(gc, path, transform, rgbFace) writeln(self.fh, r"\pgfusepath{clip}") # build pattern definition writeln(self.fh, r"\pgfsys@defobject{currentpattern}" r"{\pgfqpoint{0in}{0in}}{\pgfqpoint{1in}{1in}}{") writeln(self.fh, r"\begin{pgfscope}") writeln(self.fh, r"\pgfpathrectangle" r"{\pgfqpoint{0in}{0in}}{\pgfqpoint{1in}{1in}}") writeln(self.fh, r"\pgfusepath{clip}") scale = mpl.transforms.Affine2D().scale(self.dpi) self._print_pgf_path(None, gc.get_hatch_path(), scale) self._pgf_path_draw(stroke=True) writeln(self.fh, r"\end{pgfscope}") writeln(self.fh, r"}") # repeat pattern, filling the bounding rect of the path f = 1. / self.dpi (xmin, ymin), (xmax, ymax) = \ path.get_extents(transform).get_points() xmin, xmax = f * xmin, f * xmax ymin, ymax = f * ymin, f * ymax repx, repy = math.ceil(xmax - xmin), math.ceil(ymax - ymin) writeln(self.fh, r"\pgfsys@transformshift{%fin}{%fin}" % (xmin, ymin)) for iy in range(repy): for ix in range(repx): writeln(self.fh, r"\pgfsys@useobject{currentpattern}{}") writeln(self.fh, r"\pgfsys@transformshift{1in}{0in}") writeln(self.fh, r"\pgfsys@transformshift{-%din}{0in}" % repx) writeln(self.fh, r"\pgfsys@transformshift{0in}{1in}") writeln(self.fh, r"\end{pgfscope}") def _print_pgf_clip(self, gc): f = 1. / self.dpi # check for clip box bbox = gc.get_clip_rectangle() if bbox: p1, p2 = bbox.get_points() w, h = p2 - p1 coords = p1[0] * f, p1[1] * f, w * f, h * f writeln(self.fh, r"\pgfpathrectangle" r"{\pgfqpoint{%fin}{%fin}}{\pgfqpoint{%fin}{%fin}}" % coords) writeln(self.fh, r"\pgfusepath{clip}") # check for clip path clippath, clippath_trans = gc.get_clip_path() if clippath is not None: self._print_pgf_path(gc, clippath, clippath_trans) writeln(self.fh, r"\pgfusepath{clip}") def _print_pgf_path_styles(self, gc, rgbFace): # cap style capstyles = {"butt": r"\pgfsetbuttcap", "round": r"\pgfsetroundcap", "projecting": r"\pgfsetrectcap"} writeln(self.fh, capstyles[gc.get_capstyle()]) # join style joinstyles = {"miter": r"\pgfsetmiterjoin", "round": r"\pgfsetroundjoin", "bevel": r"\pgfsetbeveljoin"} writeln(self.fh, joinstyles[gc.get_joinstyle()]) # filling has_fill = rgbFace is not None if gc.get_forced_alpha(): fillopacity = strokeopacity = gc.get_alpha() else: strokeopacity = gc.get_rgb()[3] fillopacity = rgbFace[3] if has_fill and len(rgbFace) > 3 else 1.0 if has_fill: writeln(self.fh, r"\definecolor{currentfill}{rgb}{%f,%f,%f}" % tuple(rgbFace[:3])) writeln(self.fh, r"\pgfsetfillcolor{currentfill}") if has_fill and fillopacity != 1.0: writeln(self.fh, r"\pgfsetfillopacity{%f}" % fillopacity) # linewidth and color lw = gc.get_linewidth() * mpl_pt_to_in * latex_in_to_pt stroke_rgba = gc.get_rgb() writeln(self.fh, r"\pgfsetlinewidth{%fpt}" % lw) writeln(self.fh, r"\definecolor{currentstroke}{rgb}{%f,%f,%f}" % stroke_rgba[:3]) writeln(self.fh, r"\pgfsetstrokecolor{currentstroke}") if strokeopacity != 1.0: writeln(self.fh, r"\pgfsetstrokeopacity{%f}" % strokeopacity) # line style dash_offset, dash_list = gc.get_dashes() if dash_list is None: writeln(self.fh, r"\pgfsetdash{}{0pt}") else: writeln(self.fh, r"\pgfsetdash{%s}{%fpt}" % ("".join(r"{%fpt}" % dash for dash in dash_list), dash_offset)) def _print_pgf_path(self, gc, path, transform, rgbFace=None): f = 1. / self.dpi # check for clip box / ignore clip for filled paths bbox = gc.get_clip_rectangle() if gc else None if bbox and (rgbFace is None): p1, p2 = bbox.get_points() clip = (p1[0], p1[1], p2[0], p2[1]) else: clip = None # build path for points, code in path.iter_segments(transform, clip=clip): if code == Path.MOVETO: x, y = tuple(points) writeln(self.fh, r"\pgfpathmoveto{\pgfqpoint{%fin}{%fin}}" % (f * x, f * y)) elif code == Path.CLOSEPOLY: writeln(self.fh, r"\pgfpathclose") elif code == Path.LINETO: x, y = tuple(points) writeln(self.fh, r"\pgfpathlineto{\pgfqpoint{%fin}{%fin}}" % (f * x, f * y)) elif code == Path.CURVE3: cx, cy, px, py = tuple(points) coords = cx * f, cy * f, px * f, py * f writeln(self.fh, r"\pgfpathquadraticcurveto" r"{\pgfqpoint{%fin}{%fin}}{\pgfqpoint{%fin}{%fin}}" % coords) elif code == Path.CURVE4: c1x, c1y, c2x, c2y, px, py = tuple(points) coords = c1x * f, c1y * f, c2x * f, c2y * f, px * f, py * f writeln(self.fh, r"\pgfpathcurveto" r"{\pgfqpoint{%fin}{%fin}}" r"{\pgfqpoint{%fin}{%fin}}" r"{\pgfqpoint{%fin}{%fin}}" % coords) def _pgf_path_draw(self, stroke=True, fill=False): actions = [] if stroke: actions.append("stroke") if fill: actions.append("fill") writeln(self.fh, r"\pgfusepath{%s}" % ",".join(actions)) def option_scale_image(self): # docstring inherited return True def option_image_nocomposite(self): # docstring inherited return not mpl.rcParams['image.composite_image'] def draw_image(self, gc, x, y, im, transform=None): # docstring inherited h, w = im.shape[:2] if w == 0 or h == 0: return if not os.path.exists(getattr(self.fh, "name", "")): cbook._warn_external( "streamed pgf-code does not support raster graphics, consider " "using the pgf-to-pdf option.") # save the images to png files path = pathlib.Path(self.fh.name) fname_img = "%s-img%d.png" % (path.stem, self.image_counter) Image.fromarray(im[::-1]).save(path.parent / fname_img) self.image_counter += 1 # reference the image in the pgf picture writeln(self.fh, r"\begin{pgfscope}") self._print_pgf_clip(gc) f = 1. / self.dpi # from display coords to inch if transform is None: writeln(self.fh, r"\pgfsys@transformshift{%fin}{%fin}" % (x * f, y * f)) w, h = w * f, h * f else: tr1, tr2, tr3, tr4, tr5, tr6 = transform.frozen().to_values() writeln(self.fh, r"\pgfsys@transformcm{%f}{%f}{%f}{%f}{%fin}{%fin}" % (tr1 * f, tr2 * f, tr3 * f, tr4 * f, (tr5 + x) * f, (tr6 + y) * f)) w = h = 1 # scale is already included in the transform interp = str(transform is None).lower() # interpolation in PDF reader writeln(self.fh, r"\pgftext[left,bottom]" r"{%s[interpolate=%s,width=%fin,height=%fin]{%s}}" % (_get_image_inclusion_command(), interp, w, h, fname_img)) writeln(self.fh, r"\end{pgfscope}") def draw_tex(self, gc, x, y, s, prop, angle, ismath="TeX!", mtext=None): # docstring inherited self.draw_text(gc, x, y, s, prop, angle, ismath, mtext) def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None): # docstring inherited # prepare string for tex s = common_texification(s) prop_cmds = _font_properties_str(prop) s = r"%s %s" % (prop_cmds, s) writeln(self.fh, r"\begin{pgfscope}") alpha = gc.get_alpha() if alpha != 1.0: writeln(self.fh, r"\pgfsetfillopacity{%f}" % alpha) writeln(self.fh, r"\pgfsetstrokeopacity{%f}" % alpha) rgb = tuple(gc.get_rgb())[:3] writeln(self.fh, r"\definecolor{textcolor}{rgb}{%f,%f,%f}" % rgb) writeln(self.fh, r"\pgfsetstrokecolor{textcolor}") writeln(self.fh, r"\pgfsetfillcolor{textcolor}") s = r"\color{textcolor}" + s dpi = self.figure.dpi text_args = [] if mtext and ( (angle == 0 or mtext.get_rotation_mode() == "anchor") and mtext.get_verticalalignment() != "center_baseline"): # if text anchoring can be supported, get the original coordinates # and add alignment information pos = mtext.get_unitless_position() x, y = mtext.get_transform().transform(pos) halign = {"left": "left", "right": "right", "center": ""} valign = {"top": "top", "bottom": "bottom", "baseline": "base", "center": ""} text_args.extend([ f"x={x/dpi:f}in", f"y={y/dpi:f}in", halign[mtext.get_horizontalalignment()], valign[mtext.get_verticalalignment()], ]) else: # if not, use the text layout provided by Matplotlib. text_args.append(f"x={x/dpi:f}in, y={y/dpi:f}in, left, base") if angle != 0: text_args.append("rotate=%f" % angle) writeln(self.fh, r"\pgftext[%s]{%s}" % (",".join(text_args), s)) writeln(self.fh, r"\end{pgfscope}") def get_text_width_height_descent(self, s, prop, ismath): # docstring inherited # check if the math is supposed to be displaystyled s = common_texification(s) # get text metrics in units of latex pt, convert to display units w, h, d = (LatexManager._get_cached_or_new() .get_width_height_descent(s, prop)) # TODO: this should be latex_pt_to_in instead of mpl_pt_to_in # but having a little bit more space around the text looks better, # plus the bounding box reported by LaTeX is VERY narrow f = mpl_pt_to_in * self.dpi return w * f, h * f, d * f def flipy(self): # docstring inherited return False def get_canvas_width_height(self): # docstring inherited return (self.figure.get_figwidth() * self.dpi, self.figure.get_figheight() * self.dpi) def points_to_pixels(self, points): # docstring inherited return points * mpl_pt_to_in * self.dpi
class ScalarMappable: """ A mixin class to map scalar data to RGBA. The ScalarMappable applies data normalization before returning RGBA colors from the given colormap. """ def __init__(self, norm=None, cmap=None): """ Parameters ---------- norm : `matplotlib.colors.Normalize` (or subclass thereof) The normalizing object which scales data, typically into the interval ``[0, 1]``. If *None*, *norm* defaults to a *colors.Normalize* object which initializes its scaling based on the first data processed. cmap : str or `~matplotlib.colors.Colormap` The colormap used to map normalized data values to RGBA colors. """ self._A = None self.norm = None # So that the setter knows we're initializing. self.set_norm(norm) # The Normalize instance of this ScalarMappable. self.cmap = None # So that the setter knows we're initializing. self.set_cmap(cmap) # The Colormap instance of this ScalarMappable. #: The last colorbar associated with this ScalarMappable. May be None. self.colorbar = None self.callbacksSM = cbook.CallbackRegistry() self._update_dict = {'array': False} def _scale_norm(self, norm, vmin, vmax): """ Helper for initial scaling. Used by public functions that create a ScalarMappable and support parameters *vmin*, *vmax* and *norm*. This makes sure that a *norm* will take precedence over *vmin*, *vmax*. Note that this method does not set the norm. """ if vmin is not None or vmax is not None: self.set_clim(vmin, vmax) if norm is not None: cbook.warn_deprecated( "3.3", message="Passing parameters norm and vmin/vmax " "simultaneously is deprecated since %(since)s and " "will become an error %(removal)s. Please pass " "vmin/vmax directly to the norm when creating it.") # always resolve the autoscaling so we have concrete limits # rather than deferring to draw time. self.autoscale_None() def to_rgba(self, x, alpha=None, bytes=False, norm=True): """ Return a normalized rgba array corresponding to *x*. In the normal case, *x* is a 1-D or 2-D sequence of scalars, and the corresponding ndarray of rgba values will be returned, based on the norm and colormap set for this ScalarMappable. There is one special case, for handling images that are already rgb or rgba, such as might have been read from an image file. If *x* is an ndarray with 3 dimensions, and the last dimension is either 3 or 4, then it will be treated as an rgb or rgba array, and no mapping will be done. The array can be uint8, or it can be floating point with values in the 0-1 range; otherwise a ValueError will be raised. If it is a masked array, the mask will be ignored. If the last dimension is 3, the *alpha* kwarg (defaulting to 1) will be used to fill in the transparency. If the last dimension is 4, the *alpha* kwarg is ignored; it does not replace the pre-existing alpha. A ValueError will be raised if the third dimension is other than 3 or 4. In either case, if *bytes* is *False* (default), the rgba array will be floats in the 0-1 range; if it is *True*, the returned rgba array will be uint8 in the 0 to 255 range. If norm is False, no normalization of the input data is performed, and it is assumed to be in the range (0-1). """ # First check for special case, image input: try: if x.ndim == 3: if x.shape[2] == 3: if alpha is None: alpha = 1 if x.dtype == np.uint8: alpha = np.uint8(alpha * 255) m, n = x.shape[:2] xx = np.empty(shape=(m, n, 4), dtype=x.dtype) xx[:, :, :3] = x xx[:, :, 3] = alpha elif x.shape[2] == 4: xx = x else: raise ValueError("Third dimension must be 3 or 4") if xx.dtype.kind == 'f': if norm and (xx.max() > 1 or xx.min() < 0): raise ValueError("Floating point image RGB values " "must be in the 0..1 range.") if bytes: xx = (xx * 255).astype(np.uint8) elif xx.dtype == np.uint8: if not bytes: xx = xx.astype(np.float32) / 255 else: raise ValueError("Image RGB array must be uint8 or " "floating point; found %s" % xx.dtype) return xx except AttributeError: # e.g., x is not an ndarray; so try mapping it pass # This is the normal case, mapping a scalar array: x = ma.asarray(x) if norm: x = self.norm(x) rgba = self.cmap(x, alpha=alpha, bytes=bytes) return rgba def set_array(self, A): """ Set the image array from numpy array *A*. Parameters ---------- A : ndarray """ self._A = A self._update_dict['array'] = True def get_array(self): """Return the data array.""" return self._A def get_cmap(self): """Return the `.Colormap` instance.""" return self.cmap def get_clim(self): """ Return the values (min, max) that are mapped to the colormap limits. """ return self.norm.vmin, self.norm.vmax def set_clim(self, vmin=None, vmax=None): """ Set the norm limits for image scaling. Parameters ---------- vmin, vmax : float The limits. The limits may also be passed as a tuple (*vmin*, *vmax*) as a single positional argument. .. ACCEPTS: (vmin: float, vmax: float) """ if vmax is None: try: vmin, vmax = vmin except (TypeError, ValueError): pass if vmin is not None: self.norm.vmin = colors._sanitize_extrema(vmin) if vmax is not None: self.norm.vmax = colors._sanitize_extrema(vmax) self.changed() def get_alpha(self): """ Returns ------- float Always returns 1. """ # This method is intended to be overridden by Artist sub-classes return 1. def set_cmap(self, cmap): """ Set the colormap for luminance data. Parameters ---------- cmap : `.Colormap` or str or None """ in_init = self.cmap is None cmap = get_cmap(cmap) self.cmap = cmap if not in_init: self.changed() # Things are not set up properly yet. def set_norm(self, norm): """ Set the normalization instance. Parameters ---------- norm : `.Normalize` or None Notes ----- If there are any colorbars using the mappable for this norm, setting the norm of the mappable will reset the norm, locator, and formatters on the colorbar to default. """ cbook._check_isinstance((colors.Normalize, None), norm=norm) in_init = self.norm is None if norm is None: norm = colors.Normalize() self.norm = norm if not in_init: self.changed() # Things are not set up properly yet. def autoscale(self): """ Autoscale the scalar limits on the norm instance using the current array """ if self._A is None: raise TypeError('You must first set_array for mappable') self.norm.autoscale(self._A) self.changed() def autoscale_None(self): """ Autoscale the scalar limits on the norm instance using the current array, changing only limits that are None """ if self._A is None: raise TypeError('You must first set_array for mappable') self.norm.autoscale_None(self._A) self.changed() def _add_checker(self, checker): """ Add an entry to a dictionary of boolean flags that are set to True when the mappable is changed. """ self._update_dict[checker] = False def _check_update(self, checker): """Return whether mappable has changed since the last check.""" if self._update_dict[checker]: self._update_dict[checker] = False return True return False def changed(self): """ Call this whenever the mappable is changed to notify all the callbackSM listeners to the 'changed' signal. """ self.callbacksSM.process('changed', self) for key in self._update_dict: self._update_dict[key] = True self.stale = True update_dict = cbook._deprecate_privatize_attribute("3.3") @cbook.deprecated("3.3") def add_checker(self, checker): return self._add_checker(checker) @cbook.deprecated("3.3") def check_update(self, checker): return self._check_update(checker)
class CbarAxesBase: def __init__(self, *args, orientation, **kwargs): self.orientation = orientation self._default_label_on = True self._locator = None # deprecated. super().__init__(*args, **kwargs) @cbook._rename_parameter("3.2", "locator", "ticks") def colorbar(self, mappable, *, ticks=None, **kwargs): if self.orientation in ["top", "bottom"]: orientation = "horizontal" else: orientation = "vertical" if mpl.rcParams["mpl_toolkits.legacy_colorbar"]: cbook.warn_deprecated( "3.2", message="Since %(since)s, mpl_toolkits's own colorbar " "implementation is deprecated; it will be removed " "%(removal)s. Set the 'mpl_toolkits.legacy_colorbar' rcParam " "to False to use Matplotlib's default colorbar implementation " "and suppress this deprecation warning.") if ticks is None: ticks = ticker.MaxNLocator(5) # For backcompat. from .colorbar import Colorbar cb = Colorbar(self, mappable, orientation=orientation, ticks=ticks, **kwargs) self._cbid = mappable.callbacksSM.connect('changed', cb.update_normal) mappable.colorbar = cb self._locator = cb.cbar_axis.get_major_locator() else: cb = mpl.colorbar.Colorbar(self, mappable, orientation=orientation, ticks=ticks, **kwargs) self._cbid = mappable.colorbar_cid # deprecated. self._locator = cb.locator # deprecated. self._config_axes() return cb cbid = cbook._deprecate_privatize_attribute( "3.3", alternative="mappable.colorbar_cid") locator = cbook._deprecate_privatize_attribute( "3.3", alternative=".colorbar().locator") def _config_axes(self): """Make an axes patch and outline.""" ax = self ax.set_navigate(False) ax.axis[:].toggle(all=False) b = self._default_label_on ax.axis[self.orientation].toggle(all=b) def toggle_label(self, b): self._default_label_on = b axis = self.axis[self.orientation] axis.toggle(ticklabels=b, label=b) def cla(self): super().cla() self._config_axes()
class NavigationToolbar2QT(NavigationToolbar2, QtWidgets.QToolBar): message = QtCore.Signal(str) toolitems = [*NavigationToolbar2.toolitems] toolitems.insert( # Add 'customize' action after 'subplots' [name for name, *_ in toolitems].index("Subplots") + 1, ("Customize", "Edit axis, curve and image parameters", "qt4_editor_options", "edit_parameters")) def __init__(self, canvas, parent, coordinates=True): """coordinates: should we show the coordinates on the right?""" QtWidgets.QToolBar.__init__(self, parent) self.setAllowedAreas(QtCore.Qt.TopToolBarArea | QtCore.Qt.BottomToolBarArea) self._parent = parent self.coordinates = coordinates self._actions = {} # mapping of toolitem method names to QActions. for text, tooltip_text, image_file, callback in self.toolitems: if text is None: self.addSeparator() else: a = self.addAction(self._icon(image_file + '.png'), text, getattr(self, callback)) self._actions[callback] = a if callback in ['zoom', 'pan']: a.setCheckable(True) if tooltip_text is not None: a.setToolTip(tooltip_text) # Add the (x, y) location widget at the right side of the toolbar # The stretch factor is 1 which means any resizing of the toolbar # will resize this label instead of the buttons. if self.coordinates: self.locLabel = QtWidgets.QLabel("", self) self.locLabel.setAlignment(QtCore.Qt.AlignRight | QtCore.Qt.AlignVCenter) self.locLabel.setSizePolicy( QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Ignored)) labelAction = self.addWidget(self.locLabel) labelAction.setVisible(True) NavigationToolbar2.__init__(self, canvas) parent = cbook._deprecate_privatize_attribute( "3.3", alternative="self.canvas.parent()") @cbook.deprecated("3.3", alternative="os.path.join(mpl.get_data_path(), 'images')" ) @property def basedir(self): return str(cbook._get_data_path('images')) def _icon(self, name): if QtCore.qVersion() >= '5.': name = name.replace('.png', '_large.png') pm = QtGui.QPixmap(str(cbook._get_data_path('images', name))) qt_compat._setDevicePixelRatio(pm, qt_compat._devicePixelRatio(self)) if self.palette().color(self.backgroundRole()).value() < 128: icon_color = self.palette().color(self.foregroundRole()) mask = pm.createMaskFromColor(QtGui.QColor('black'), QtCore.Qt.MaskOutColor) pm.fill(icon_color) pm.setMask(mask) return QtGui.QIcon(pm) def edit_parameters(self): axes = self.canvas.figure.get_axes() if not axes: QtWidgets.QMessageBox.warning(self.canvas.parent(), "Error", "There are no axes to edit.") return elif len(axes) == 1: ax, = axes else: titles = [ ax.get_label() or ax.get_title() or " - ".join(filter( None, [ax.get_xlabel(), ax.get_ylabel()])) or f"<anonymous {type(ax).__name__}>" for ax in axes ] duplicate_titles = [ title for title in titles if titles.count(title) > 1 ] for i, ax in enumerate(axes): if titles[i] in duplicate_titles: titles[i] += f" (id: {id(ax):#x})" # Deduplicate titles. item, ok = QtWidgets.QInputDialog.getItem(self.canvas.parent(), 'Customize', 'Select axes:', titles, 0, False) if not ok: return ax = axes[titles.index(item)] figureoptions.figure_edit(ax, self) def _update_buttons_checked(self): # sync button checkstates to match active mode if 'pan' in self._actions: self._actions['pan'].setChecked(self.mode.name == 'PAN') if 'zoom' in self._actions: self._actions['zoom'].setChecked(self.mode.name == 'ZOOM') def pan(self, *args): super().pan(*args) self._update_buttons_checked() def zoom(self, *args): super().zoom(*args) self._update_buttons_checked() def set_message(self, s): self.message.emit(s) if self.coordinates: self.locLabel.setText(s) def set_cursor(self, cursor): self.canvas.setCursor(cursord[cursor]) def draw_rubberband(self, event, x0, y0, x1, y1): height = self.canvas.figure.bbox.height y1 = height - y1 y0 = height - y0 rect = [int(val) for val in (x0, y0, x1 - x0, y1 - y0)] self.canvas.drawRectangle(rect) def remove_rubberband(self): self.canvas.drawRectangle(None) def configure_subplots(self): image = str(cbook._get_data_path('images/matplotlib.png')) dia = SubplotToolQt(self.canvas.figure, self.canvas.parent()) dia.setWindowIcon(QtGui.QIcon(image)) dia.exec_() def save_figure(self, *args): filetypes = self.canvas.get_supported_filetypes_grouped() sorted_filetypes = sorted(filetypes.items()) default_filetype = self.canvas.get_default_filetype() startpath = os.path.expanduser( matplotlib.rcParams['savefig.directory']) start = os.path.join(startpath, self.canvas.get_default_filename()) filters = [] selectedFilter = None for name, exts in sorted_filetypes: exts_list = " ".join(['*.%s' % ext for ext in exts]) filter = '%s (%s)' % (name, exts_list) if default_filetype in exts: selectedFilter = filter filters.append(filter) filters = ';;'.join(filters) fname, filter = qt_compat._getSaveFileName( self.canvas.parent(), "Choose a filename to save to", start, filters, selectedFilter) if fname: # Save dir for next time, unless empty str (i.e., use cwd). if startpath != "": matplotlib.rcParams['savefig.directory'] = ( os.path.dirname(fname)) try: self.canvas.figure.savefig(fname) except Exception as e: QtWidgets.QMessageBox.critical(self, "Error saving file", str(e), QtWidgets.QMessageBox.Ok, QtWidgets.QMessageBox.NoButton) def set_history_buttons(self): can_backward = self._nav_stack._pos > 0 can_forward = self._nav_stack._pos < len(self._nav_stack._elements) - 1 if 'back' in self._actions: self._actions['back'].setEnabled(can_backward) if 'forward' in self._actions: self._actions['forward'].setEnabled(can_forward)