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mpl_toolkits.axes_grid1.axes_grid.ImageGrid classmpl_toolkits.axes_grid1.axes_grid.ImageGrid(fig, rect, nrows_ncols, ngrids=None, direction='row', axes_pad=0.02, *, share_all=False, aspect=True, label_mode='L', cbar_mode=None, cbar_location='right', cbar_pad=None, cbar_size='5%', cbar_set_cax=True, axes_class=None)[source] Bases: mpl_toolkits.axes_grid1.axes_grid.Grid Parameters figFigure The parent figure. rect(float, float, float, float) or int The axes position, as a (left, bottom, width, height) tuple or as a three-digit subplot position code (e.g., "121"). nrows_ncols(int, int) Number of rows and columns in the grid. ngridsint or None, default: None If not None, only the first ngrids axes in the grid are created. direction{"row", "column"}, default: "row" Whether axes are created in row-major ("row by row") or column-major order ("column by column"). This also affects the order in which axes are accessed using indexing (grid[index]). axes_padfloat or (float, float), default: 0.02in Padding or (horizontal padding, vertical padding) between axes, in inches. share_allbool, default: False Whether all axes share their x- and y-axis. aspectbool, default: True Whether the axes aspect ratio follows the aspect ratio of the data limits. label_mode{"L", "1", "all"}, default: "L" Determines which axes will get tick labels: "L": All axes on the left column get vertical tick labels; all axes on the bottom row get horizontal tick labels. "1": Only the bottom left axes is labelled. "all": all axes are labelled. cbar_mode{"each", "single", "edge", None}, default: None Whether to create a colorbar for "each" axes, a "single" colorbar for the entire grid, colorbars only for axes on the "edge" determined by cbar_location, or no colorbars. The colorbars are stored in the cbar_axes attribute. cbar_location{"left", "right", "bottom", "top"}, default: "right" cbar_padfloat, default: None Padding between the image axes and the colorbar axes. cbar_sizesize specification (see Size.from_any), default: "5%" Colorbar size. cbar_set_caxbool, default: True If True, each axes in the grid has a cax attribute that is bound to associated cbar_axes. axes_classsubclass of matplotlib.axes.Axes, default: None
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_grid.imagegrid
mpl_toolkits.axes_grid1.axes_rgb Classes RGBAxes(*args[, pad]) 4-panel imshow (RGB, R, G, B). Functions make_rgb_axes(ax[, pad, axes_class]) Parameters
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_rgb
mpl_toolkits.axes_grid1.axes_rgb.make_rgb_axes mpl_toolkits.axes_grid1.axes_rgb.make_rgb_axes(ax, pad=0.01, axes_class=None, **kwargs)[source] Parameters padfloat Fraction of the axes height. Examples using mpl_toolkits.axes_grid1.axes_rgb.make_rgb_axes Showing RGB channels using RGBAxes
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_rgb.make_rgb_axes
mpl_toolkits.axes_grid1.axes_rgb.RGBAxes classmpl_toolkits.axes_grid1.axes_rgb.RGBAxes(*args, pad=0, **kwargs)[source] Bases: object 4-panel imshow (RGB, R, G, B). Layout: RGB R G B Subclasses can override the _defaultAxesClass attribute. Attributes RGB_defaultAxesClass The axes object for the three-channel imshow. R_defaultAxesClass The axes object for the red channel imshow. G_defaultAxesClass The axes object for the green channel imshow. B_defaultAxesClass The axes object for the blue channel imshow. Parameters padfloat, default: 0 fraction of the axes height to put as padding. axes_classmatplotlib.axes.Axes *args Unpacked into axes_class() init for RGB **kwargs Unpacked into axes_class() init for RGB, R, G, B axes imshow_rgb(r, g, b, **kwargs)[source] Create the four images {rgb, r, g, b}. Parameters r, g, barray-like The red, green, and blue arrays. kwargsimshow kwargs kwargs get unpacked into the imshow calls for the four images. Returns rgbmatplotlib.image.AxesImage rmatplotlib.image.AxesImage gmatplotlib.image.AxesImage bmatplotlib.image.AxesImage Examples using mpl_toolkits.axes_grid1.axes_rgb.RGBAxes Showing RGB channels using RGBAxes
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_rgb.rgbaxes
imshow_rgb(r, g, b, **kwargs)[source] Create the four images {rgb, r, g, b}. Parameters r, g, barray-like The red, green, and blue arrays. kwargsimshow kwargs kwargs get unpacked into the imshow calls for the four images. Returns rgbmatplotlib.image.AxesImage rmatplotlib.image.AxesImage gmatplotlib.image.AxesImage bmatplotlib.image.AxesImage
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_rgb.rgbaxes#mpl_toolkits.axes_grid1.axes_rgb.RGBAxes.imshow_rgb
mpl_toolkits.axes_grid1.axes_size Provides classes of simple units that will be used with AxesDivider class (or others) to determine the size of each axes. The unit classes define get_size method that returns a tuple of two floats, meaning relative and absolute sizes, respectively. Note that this class is nothing more than a simple tuple of two floats. Take a look at the Divider class to see how these two values are used. Classes Add(a, b) AddList(add_list) AxesX(axes[, aspect, ref_ax]) Scaled size whose relative part corresponds to the data width of the axes multiplied by the aspect. AxesY(axes[, aspect, ref_ax]) Scaled size whose relative part corresponds to the data height of the axes multiplied by the aspect. Fixed(fixed_size) Simple fixed size with absolute part = fixed_size and relative part = 0. Fraction(fraction, ref_size) An instance whose size is a fraction of the ref_size. GetExtentHelper(ax, direction) MaxExtent(artist_list, w_or_h) Size whose absolute part is either the largest width or the largest height of the given artist_list. MaxHeight(artist_list) Size whose absolute part is the largest height of the given artist_list. MaxWidth(artist_list) Size whose absolute part is the largest width of the given artist_list. Padded(size, pad) Return a instance where the absolute part of size is increase by the amount of pad. Scalable alias of mpl_toolkits.axes_grid1.axes_size.Scaled Scaled(scalable_size) Simple scaled(?) size with absolute part = 0 and relative part = scalable_size. SizeFromFunc(func) Functions from_any(size[, fraction_ref]) Create a Fixed unit when the first argument is a float, or a Fraction unit if that is a string that ends with %.
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size
mpl_toolkits.axes_grid1.axes_size.Add classmpl_toolkits.axes_grid1.axes_size.Add(a, b)[source] Bases: mpl_toolkits.axes_grid1.axes_size._Base get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.add
get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.add#mpl_toolkits.axes_grid1.axes_size.Add.get_size
mpl_toolkits.axes_grid1.axes_size.AddList classmpl_toolkits.axes_grid1.axes_size.AddList(add_list)[source] Bases: mpl_toolkits.axes_grid1.axes_size._Base get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.addlist
get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.addlist#mpl_toolkits.axes_grid1.axes_size.AddList.get_size
mpl_toolkits.axes_grid1.axes_size.AxesX classmpl_toolkits.axes_grid1.axes_size.AxesX(axes, aspect=1.0, ref_ax=None)[source] Bases: mpl_toolkits.axes_grid1.axes_size._Base Scaled size whose relative part corresponds to the data width of the axes multiplied by the aspect. get_size(renderer)[source] Examples using mpl_toolkits.axes_grid1.axes_size.AxesX HBoxDivider demo Simple Axes Divider 3
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.axesx
get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.axesx#mpl_toolkits.axes_grid1.axes_size.AxesX.get_size
mpl_toolkits.axes_grid1.axes_size.AxesY classmpl_toolkits.axes_grid1.axes_size.AxesY(axes, aspect=1.0, ref_ax=None)[source] Bases: mpl_toolkits.axes_grid1.axes_size._Base Scaled size whose relative part corresponds to the data height of the axes multiplied by the aspect. get_size(renderer)[source] Examples using mpl_toolkits.axes_grid1.axes_size.AxesY HBoxDivider demo Simple Axes Divider 3
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.axesy
get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.axesy#mpl_toolkits.axes_grid1.axes_size.AxesY.get_size
mpl_toolkits.axes_grid1.axes_size.Fixed classmpl_toolkits.axes_grid1.axes_size.Fixed(fixed_size)[source] Bases: mpl_toolkits.axes_grid1.axes_size._Base Simple fixed size with absolute part = fixed_size and relative part = 0. get_size(renderer)[source] Examples using mpl_toolkits.axes_grid1.axes_size.Fixed HBoxDivider demo Axes with a fixed physical size Simple Axes Divider 1 Simple Axes Divider 3
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.fixed
get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.fixed#mpl_toolkits.axes_grid1.axes_size.Fixed.get_size
mpl_toolkits.axes_grid1.axes_size.Fraction classmpl_toolkits.axes_grid1.axes_size.Fraction(fraction, ref_size)[source] Bases: mpl_toolkits.axes_grid1.axes_size._Base An instance whose size is a fraction of the ref_size. >>> s = Fraction(0.3, AxesX(ax)) get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.fraction
get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.fraction#mpl_toolkits.axes_grid1.axes_size.Fraction.get_size
mpl_toolkits.axes_grid1.axes_size.from_any mpl_toolkits.axes_grid1.axes_size.from_any(size, fraction_ref=None)[source] Create a Fixed unit when the first argument is a float, or a Fraction unit if that is a string that ends with %. The second argument is only meaningful when Fraction unit is created. >>> a = Size.from_any(1.2) # => Size.Fixed(1.2) >>> Size.from_any("50%", a) # => Size.Fraction(0.5, a)
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.from_any
mpl_toolkits.axes_grid1.axes_size.GetExtentHelper classmpl_toolkits.axes_grid1.axes_size.GetExtentHelper(ax, direction)[source] Bases: object __call__(renderer)[source] Call self as a function.
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.getextenthelper
__call__(renderer)[source] Call self as a function.
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.getextenthelper#mpl_toolkits.axes_grid1.axes_size.GetExtentHelper.__call__
mpl_toolkits.axes_grid1.axes_size.MaxExtent classmpl_toolkits.axes_grid1.axes_size.MaxExtent(artist_list, w_or_h)[source] Bases: mpl_toolkits.axes_grid1.axes_size._Base Size whose absolute part is either the largest width or the largest height of the given artist_list. add_artist(a)[source] get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.maxextent
add_artist(a)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.maxextent#mpl_toolkits.axes_grid1.axes_size.MaxExtent.add_artist
get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.maxextent#mpl_toolkits.axes_grid1.axes_size.MaxExtent.get_size
mpl_toolkits.axes_grid1.axes_size.MaxHeight classmpl_toolkits.axes_grid1.axes_size.MaxHeight(artist_list)[source] Bases: mpl_toolkits.axes_grid1.axes_size.MaxExtent Size whose absolute part is the largest height of the given artist_list.
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.maxheight
mpl_toolkits.axes_grid1.axes_size.MaxWidth classmpl_toolkits.axes_grid1.axes_size.MaxWidth(artist_list)[source] Bases: mpl_toolkits.axes_grid1.axes_size.MaxExtent Size whose absolute part is the largest width of the given artist_list.
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.maxwidth
mpl_toolkits.axes_grid1.axes_size.Padded classmpl_toolkits.axes_grid1.axes_size.Padded(size, pad)[source] Bases: mpl_toolkits.axes_grid1.axes_size._Base Return a instance where the absolute part of size is increase by the amount of pad. get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.padded
get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.padded#mpl_toolkits.axes_grid1.axes_size.Padded.get_size
mpl_toolkits.axes_grid1.axes_size.Scalable mpl_toolkits.axes_grid1.axes_size.Scalable[source] alias of mpl_toolkits.axes_grid1.axes_size.Scaled
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.scalable
mpl_toolkits.axes_grid1.axes_size.Scaled classmpl_toolkits.axes_grid1.axes_size.Scaled(scalable_size)[source] Bases: mpl_toolkits.axes_grid1.axes_size._Base Simple scaled(?) size with absolute part = 0 and relative part = scalable_size. get_size(renderer)[source] Examples using mpl_toolkits.axes_grid1.axes_size.Scaled HBoxDivider demo Axes with a fixed physical size Simple Axes Divider 1
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.scaled
get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.scaled#mpl_toolkits.axes_grid1.axes_size.Scaled.get_size
mpl_toolkits.axes_grid1.axes_size.SizeFromFunc classmpl_toolkits.axes_grid1.axes_size.SizeFromFunc(func)[source] Bases: mpl_toolkits.axes_grid1.axes_size._Base get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.sizefromfunc
get_size(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.axes_size.sizefromfunc#mpl_toolkits.axes_grid1.axes_size.SizeFromFunc.get_size
mpl_toolkits.axes_grid1.inset_locator A collection of functions and objects for creating or placing inset axes. Classes AnchoredLocatorBase(bbox_to_anchor, ...[, ...]) Parameters AnchoredSizeLocator(bbox_to_anchor, x_size, ...) Parameters AnchoredZoomLocator(parent_axes, zoom, loc) Parameters BboxConnector(bbox1, bbox2, loc1[, loc2]) Connect two bboxes with a straight line. BboxConnectorPatch(bbox1, bbox2, loc1a, ...) Connect two bboxes with a quadrilateral. BboxPatch(bbox, **kwargs) Patch showing the shape bounded by a Bbox. InsetPosition(parent, lbwh) An object for positioning an inset axes. Functions inset_axes(parent_axes, width, height[, ...]) Create an inset axes with a given width and height. mark_inset(parent_axes, inset_axes, loc1, ...) Draw a box to mark the location of an area represented by an inset axes. zoomed_inset_axes(parent_axes, zoom[, loc, ...]) Create an anchored inset axes by scaling a parent axes.
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator
mpl_toolkits.axes_grid1.inset_locator.AnchoredLocatorBase classmpl_toolkits.axes_grid1.inset_locator.AnchoredLocatorBase(bbox_to_anchor, offsetbox, loc, borderpad=0.5, bbox_transform=None)[source] Bases: matplotlib.offsetbox.AnchoredOffsetbox Parameters locstr The box location. Valid locations are 'upper left', 'upper center', 'upper right', 'center left', 'center', 'center right', 'lower left', 'lower center, 'lower right'. For backward compatibility, numeric values are accepted as well. See the parameter loc of Legend for details. padfloat, default: 0.4 Padding around the child as fraction of the fontsize. borderpadfloat, default: 0.5 Padding between the offsetbox frame and the bbox_to_anchor. childOffsetBox The box that will be anchored. propFontProperties This is only used as a reference for paddings. If not given, rcParams["legend.fontsize"] (default: 'medium') is used. frameonbool Whether to draw a frame around the box. bbox_to_anchorBboxBase, 2-tuple, or 4-tuple of floats Box that is used to position the legend in conjunction with loc. bbox_transformNone or matplotlib.transforms.Transform The transform for the bounding box (bbox_to_anchor). **kwargs All other parameters are passed on to OffsetBox. Notes See Legend for a detailed description of the anchoring mechanism. __call__(ax, renderer)[source] Call self as a function. draw(renderer)[source] Update the location of children if necessary and draw them to the given renderer. set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, bbox_to_anchor=<UNSET>, child=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, gid=<UNSET>, height=<UNSET>, in_layout=<UNSET>, label=<UNSET>, offset=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, width=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None animated bool bbox_to_anchor unknown child unknown clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None figure Figure gid str height float in_layout bool label object offset (float, float) or callable path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool width float zorder float
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.anchoredlocatorbase
__call__(ax, renderer)[source] Call self as a function.
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.anchoredlocatorbase#mpl_toolkits.axes_grid1.inset_locator.AnchoredLocatorBase.__call__
draw(renderer)[source] Update the location of children if necessary and draw them to the given renderer.
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.anchoredlocatorbase#mpl_toolkits.axes_grid1.inset_locator.AnchoredLocatorBase.draw
set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, bbox_to_anchor=<UNSET>, child=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, gid=<UNSET>, height=<UNSET>, in_layout=<UNSET>, label=<UNSET>, offset=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, width=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None animated bool bbox_to_anchor unknown child unknown clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None figure Figure gid str height float in_layout bool label object offset (float, float) or callable path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool width float zorder float
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.anchoredlocatorbase#mpl_toolkits.axes_grid1.inset_locator.AnchoredLocatorBase.set
mpl_toolkits.axes_grid1.inset_locator.AnchoredSizeLocator classmpl_toolkits.axes_grid1.inset_locator.AnchoredSizeLocator(bbox_to_anchor, x_size, y_size, loc, borderpad=0.5, bbox_transform=None)[source] Bases: mpl_toolkits.axes_grid1.inset_locator.AnchoredLocatorBase Parameters locstr The box location. Valid locations are 'upper left', 'upper center', 'upper right', 'center left', 'center', 'center right', 'lower left', 'lower center, 'lower right'. For backward compatibility, numeric values are accepted as well. See the parameter loc of Legend for details. padfloat, default: 0.4 Padding around the child as fraction of the fontsize. borderpadfloat, default: 0.5 Padding between the offsetbox frame and the bbox_to_anchor. childOffsetBox The box that will be anchored. propFontProperties This is only used as a reference for paddings. If not given, rcParams["legend.fontsize"] (default: 'medium') is used. frameonbool Whether to draw a frame around the box. bbox_to_anchorBboxBase, 2-tuple, or 4-tuple of floats Box that is used to position the legend in conjunction with loc. bbox_transformNone or matplotlib.transforms.Transform The transform for the bounding box (bbox_to_anchor). **kwargs All other parameters are passed on to OffsetBox. Notes See Legend for a detailed description of the anchoring mechanism. get_extent(renderer)[source] Return the extent of the box as (width, height, x, y). This is the extent of the child plus the padding. set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, bbox_to_anchor=<UNSET>, child=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, gid=<UNSET>, height=<UNSET>, in_layout=<UNSET>, label=<UNSET>, offset=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, width=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None animated bool bbox_to_anchor unknown child unknown clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None figure Figure gid str height float in_layout bool label object offset (float, float) or callable path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool width float zorder float
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.anchoredsizelocator
get_extent(renderer)[source] Return the extent of the box as (width, height, x, y). This is the extent of the child plus the padding.
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.anchoredsizelocator#mpl_toolkits.axes_grid1.inset_locator.AnchoredSizeLocator.get_extent
set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, bbox_to_anchor=<UNSET>, child=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, gid=<UNSET>, height=<UNSET>, in_layout=<UNSET>, label=<UNSET>, offset=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, width=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None animated bool bbox_to_anchor unknown child unknown clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None figure Figure gid str height float in_layout bool label object offset (float, float) or callable path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool width float zorder float
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.anchoredsizelocator#mpl_toolkits.axes_grid1.inset_locator.AnchoredSizeLocator.set
mpl_toolkits.axes_grid1.inset_locator.AnchoredZoomLocator classmpl_toolkits.axes_grid1.inset_locator.AnchoredZoomLocator(parent_axes, zoom, loc, borderpad=0.5, bbox_to_anchor=None, bbox_transform=None)[source] Bases: mpl_toolkits.axes_grid1.inset_locator.AnchoredLocatorBase Parameters locstr The box location. Valid locations are 'upper left', 'upper center', 'upper right', 'center left', 'center', 'center right', 'lower left', 'lower center, 'lower right'. For backward compatibility, numeric values are accepted as well. See the parameter loc of Legend for details. padfloat, default: 0.4 Padding around the child as fraction of the fontsize. borderpadfloat, default: 0.5 Padding between the offsetbox frame and the bbox_to_anchor. childOffsetBox The box that will be anchored. propFontProperties This is only used as a reference for paddings. If not given, rcParams["legend.fontsize"] (default: 'medium') is used. frameonbool Whether to draw a frame around the box. bbox_to_anchorBboxBase, 2-tuple, or 4-tuple of floats Box that is used to position the legend in conjunction with loc. bbox_transformNone or matplotlib.transforms.Transform The transform for the bounding box (bbox_to_anchor). **kwargs All other parameters are passed on to OffsetBox. Notes See Legend for a detailed description of the anchoring mechanism. get_extent(renderer)[source] Return the extent of the box as (width, height, x, y). This is the extent of the child plus the padding. set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, bbox_to_anchor=<UNSET>, child=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, gid=<UNSET>, height=<UNSET>, in_layout=<UNSET>, label=<UNSET>, offset=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, width=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None animated bool bbox_to_anchor unknown child unknown clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None figure Figure gid str height float in_layout bool label object offset (float, float) or callable path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool width float zorder float
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.anchoredzoomlocator
get_extent(renderer)[source] Return the extent of the box as (width, height, x, y). This is the extent of the child plus the padding.
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.anchoredzoomlocator#mpl_toolkits.axes_grid1.inset_locator.AnchoredZoomLocator.get_extent
set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, bbox_to_anchor=<UNSET>, child=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, gid=<UNSET>, height=<UNSET>, in_layout=<UNSET>, label=<UNSET>, offset=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, width=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None animated bool bbox_to_anchor unknown child unknown clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None figure Figure gid str height float in_layout bool label object offset (float, float) or callable path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool width float zorder float
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.anchoredzoomlocator#mpl_toolkits.axes_grid1.inset_locator.AnchoredZoomLocator.set
mpl_toolkits.axes_grid1.inset_locator.BboxConnector classmpl_toolkits.axes_grid1.inset_locator.BboxConnector(bbox1, bbox2, loc1, loc2=None, **kwargs)[source] Bases: matplotlib.patches.Patch Connect two bboxes with a straight line. Parameters bbox1, bbox2matplotlib.transforms.Bbox Bounding boxes to connect. loc1{1, 2, 3, 4} Corner of bbox1 to draw the line. Valid values are: 'upper right' : 1, 'upper left' : 2, 'lower left' : 3, 'lower right' : 4 loc2{1, 2, 3, 4}, optional Corner of bbox2 to draw the line. If None, defaults to loc1. Valid values are: 'upper right' : 1, 'upper left' : 2, 'lower left' : 3, 'lower right' : 4 **kwargs Patch properties for the line drawn. Valid arguments include: Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha unknown animated bool antialiased or aa bool or None capstyle CapStyle or {'butt', 'projecting', 'round'} clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None color color edgecolor or ec color or None facecolor or fc color or None figure Figure fill bool gid str hatch {'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'} in_layout bool joinstyle JoinStyle or {'miter', 'round', 'bevel'} label object linestyle or ls {'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidth or lw float or None path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool zorder float staticconnect_bbox(bbox1, bbox2, loc1, loc2=None)[source] Helper function to obtain a Path from one bbox to another. Parameters bbox1, bbox2matplotlib.transforms.Bbox Bounding boxes to connect. loc1{1, 2, 3, 4} Corner of bbox1 to use. Valid values are: 'upper right' : 1, 'upper left' : 2, 'lower left' : 3, 'lower right' : 4 loc2{1, 2, 3, 4}, optional Corner of bbox2 to use. If None, defaults to loc1. Valid values are: 'upper right' : 1, 'upper left' : 2, 'lower left' : 3, 'lower right' : 4 Returns pathmatplotlib.path.Path A line segment from the loc1 corner of bbox1 to the loc2 corner of bbox2. staticget_bbox_edge_pos(bbox, loc)[source] Helper function to obtain the location of a corner of a bbox Parameters bboxmatplotlib.transforms.Bbox loc{1, 2, 3, 4} Corner of bbox. Valid values are: 'upper right' : 1, 'upper left' : 2, 'lower left' : 3, 'lower right' : 4 Returns x, yfloat Coordinates of the corner specified by loc. get_path()[source] Return the path of this patch. set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, antialiased=<UNSET>, capstyle=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, color=<UNSET>, edgecolor=<UNSET>, facecolor=<UNSET>, fill=<UNSET>, gid=<UNSET>, hatch=<UNSET>, in_layout=<UNSET>, joinstyle=<UNSET>, label=<UNSET>, linestyle=<UNSET>, linewidth=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None animated bool antialiased or aa bool or None capstyle CapStyle or {'butt', 'projecting', 'round'} clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None color color edgecolor or ec color or None facecolor or fc color or None figure Figure fill bool gid str hatch {'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'} in_layout bool joinstyle JoinStyle or {'miter', 'round', 'bevel'} label object linestyle or ls {'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidth or lw float or None path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool zorder float Examples using mpl_toolkits.axes_grid1.inset_locator.BboxConnector Axes Zoom Effect
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.bboxconnector
staticconnect_bbox(bbox1, bbox2, loc1, loc2=None)[source] Helper function to obtain a Path from one bbox to another. Parameters bbox1, bbox2matplotlib.transforms.Bbox Bounding boxes to connect. loc1{1, 2, 3, 4} Corner of bbox1 to use. Valid values are: 'upper right' : 1, 'upper left' : 2, 'lower left' : 3, 'lower right' : 4 loc2{1, 2, 3, 4}, optional Corner of bbox2 to use. If None, defaults to loc1. Valid values are: 'upper right' : 1, 'upper left' : 2, 'lower left' : 3, 'lower right' : 4 Returns pathmatplotlib.path.Path A line segment from the loc1 corner of bbox1 to the loc2 corner of bbox2.
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.bboxconnector#mpl_toolkits.axes_grid1.inset_locator.BboxConnector.connect_bbox
staticget_bbox_edge_pos(bbox, loc)[source] Helper function to obtain the location of a corner of a bbox Parameters bboxmatplotlib.transforms.Bbox loc{1, 2, 3, 4} Corner of bbox. Valid values are: 'upper right' : 1, 'upper left' : 2, 'lower left' : 3, 'lower right' : 4 Returns x, yfloat Coordinates of the corner specified by loc.
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.bboxconnector#mpl_toolkits.axes_grid1.inset_locator.BboxConnector.get_bbox_edge_pos
get_path()[source] Return the path of this patch.
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.bboxconnector#mpl_toolkits.axes_grid1.inset_locator.BboxConnector.get_path
set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, antialiased=<UNSET>, capstyle=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, color=<UNSET>, edgecolor=<UNSET>, facecolor=<UNSET>, fill=<UNSET>, gid=<UNSET>, hatch=<UNSET>, in_layout=<UNSET>, joinstyle=<UNSET>, label=<UNSET>, linestyle=<UNSET>, linewidth=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None animated bool antialiased or aa bool or None capstyle CapStyle or {'butt', 'projecting', 'round'} clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None color color edgecolor or ec color or None facecolor or fc color or None figure Figure fill bool gid str hatch {'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'} in_layout bool joinstyle JoinStyle or {'miter', 'round', 'bevel'} label object linestyle or ls {'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidth or lw float or None path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool zorder float
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.bboxconnector#mpl_toolkits.axes_grid1.inset_locator.BboxConnector.set
mpl_toolkits.axes_grid1.inset_locator.BboxConnectorPatch classmpl_toolkits.axes_grid1.inset_locator.BboxConnectorPatch(bbox1, bbox2, loc1a, loc2a, loc1b, loc2b, **kwargs)[source] Bases: mpl_toolkits.axes_grid1.inset_locator.BboxConnector Connect two bboxes with a quadrilateral. The quadrilateral is specified by two lines that start and end at corners of the bboxes. The four sides of the quadrilateral are defined by the two lines given, the line between the two corners specified in bbox1 and the line between the two corners specified in bbox2. Parameters bbox1, bbox2matplotlib.transforms.Bbox Bounding boxes to connect. loc1a, loc2a{1, 2, 3, 4} Corners of bbox1 and bbox2 to draw the first line. Valid values are: 'upper right' : 1, 'upper left' : 2, 'lower left' : 3, 'lower right' : 4 loc1b, loc2b{1, 2, 3, 4} Corners of bbox1 and bbox2 to draw the second line. Valid values are: 'upper right' : 1, 'upper left' : 2, 'lower left' : 3, 'lower right' : 4 **kwargs Patch properties for the line drawn: Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha unknown animated bool antialiased or aa bool or None capstyle CapStyle or {'butt', 'projecting', 'round'} clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None color color edgecolor or ec color or None facecolor or fc color or None figure Figure fill bool gid str hatch {'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'} in_layout bool joinstyle JoinStyle or {'miter', 'round', 'bevel'} label object linestyle or ls {'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidth or lw float or None path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool zorder float get_path()[source] Return the path of this patch. set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, antialiased=<UNSET>, capstyle=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, color=<UNSET>, edgecolor=<UNSET>, facecolor=<UNSET>, fill=<UNSET>, gid=<UNSET>, hatch=<UNSET>, in_layout=<UNSET>, joinstyle=<UNSET>, label=<UNSET>, linestyle=<UNSET>, linewidth=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None animated bool antialiased or aa bool or None capstyle CapStyle or {'butt', 'projecting', 'round'} clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None color color edgecolor or ec color or None facecolor or fc color or None figure Figure fill bool gid str hatch {'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'} in_layout bool joinstyle JoinStyle or {'miter', 'round', 'bevel'} label object linestyle or ls {'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidth or lw float or None path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool zorder float Examples using mpl_toolkits.axes_grid1.inset_locator.BboxConnectorPatch Axes Zoom Effect
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.bboxconnectorpatch
get_path()[source] Return the path of this patch.
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.bboxconnectorpatch#mpl_toolkits.axes_grid1.inset_locator.BboxConnectorPatch.get_path
set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, antialiased=<UNSET>, capstyle=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, color=<UNSET>, edgecolor=<UNSET>, facecolor=<UNSET>, fill=<UNSET>, gid=<UNSET>, hatch=<UNSET>, in_layout=<UNSET>, joinstyle=<UNSET>, label=<UNSET>, linestyle=<UNSET>, linewidth=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None animated bool antialiased or aa bool or None capstyle CapStyle or {'butt', 'projecting', 'round'} clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None color color edgecolor or ec color or None facecolor or fc color or None figure Figure fill bool gid str hatch {'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'} in_layout bool joinstyle JoinStyle or {'miter', 'round', 'bevel'} label object linestyle or ls {'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidth or lw float or None path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool zorder float
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.bboxconnectorpatch#mpl_toolkits.axes_grid1.inset_locator.BboxConnectorPatch.set
mpl_toolkits.axes_grid1.inset_locator.BboxPatch classmpl_toolkits.axes_grid1.inset_locator.BboxPatch(bbox, **kwargs)[source] Bases: matplotlib.patches.Patch Patch showing the shape bounded by a Bbox. Parameters bboxmatplotlib.transforms.Bbox Bbox to use for the extents of this patch. **kwargs Patch properties. Valid arguments include: Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha unknown animated bool antialiased or aa bool or None capstyle CapStyle or {'butt', 'projecting', 'round'} clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None color color edgecolor or ec color or None facecolor or fc color or None figure Figure fill bool gid str hatch {'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'} in_layout bool joinstyle JoinStyle or {'miter', 'round', 'bevel'} label object linestyle or ls {'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidth or lw float or None path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool zorder float get_path()[source] Return the path of this patch. set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, antialiased=<UNSET>, capstyle=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, color=<UNSET>, edgecolor=<UNSET>, facecolor=<UNSET>, fill=<UNSET>, gid=<UNSET>, hatch=<UNSET>, in_layout=<UNSET>, joinstyle=<UNSET>, label=<UNSET>, linestyle=<UNSET>, linewidth=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None animated bool antialiased or aa bool or None capstyle CapStyle or {'butt', 'projecting', 'round'} clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None color color edgecolor or ec color or None facecolor or fc color or None figure Figure fill bool gid str hatch {'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'} in_layout bool joinstyle JoinStyle or {'miter', 'round', 'bevel'} label object linestyle or ls {'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidth or lw float or None path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool zorder float Examples using mpl_toolkits.axes_grid1.inset_locator.BboxPatch Axes Zoom Effect
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.bboxpatch
get_path()[source] Return the path of this patch.
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.bboxpatch#mpl_toolkits.axes_grid1.inset_locator.BboxPatch.get_path
set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, antialiased=<UNSET>, capstyle=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, color=<UNSET>, edgecolor=<UNSET>, facecolor=<UNSET>, fill=<UNSET>, gid=<UNSET>, hatch=<UNSET>, in_layout=<UNSET>, joinstyle=<UNSET>, label=<UNSET>, linestyle=<UNSET>, linewidth=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None animated bool antialiased or aa bool or None capstyle CapStyle or {'butt', 'projecting', 'round'} clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None color color edgecolor or ec color or None facecolor or fc color or None figure Figure fill bool gid str hatch {'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'} in_layout bool joinstyle JoinStyle or {'miter', 'round', 'bevel'} label object linestyle or ls {'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidth or lw float or None path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool zorder float
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.bboxpatch#mpl_toolkits.axes_grid1.inset_locator.BboxPatch.set
mpl_toolkits.axes_grid1.inset_locator.inset_axes mpl_toolkits.axes_grid1.inset_locator.inset_axes(parent_axes, width, height, loc='upper right', bbox_to_anchor=None, bbox_transform=None, axes_class=None, axes_kwargs=None, borderpad=0.5)[source] Create an inset axes with a given width and height. Both sizes used can be specified either in inches or percentage. For example,: inset_axes(parent_axes, width='40%', height='30%', loc='lower left') creates in inset axes in the lower left corner of parent_axes which spans over 30% in height and 40% in width of the parent_axes. Since the usage of inset_axes may become slightly tricky when exceeding such standard cases, it is recommended to read the examples. Parameters parent_axesmatplotlib.axes.Axes Axes to place the inset axes. width, heightfloat or str Size of the inset axes to create. If a float is provided, it is the size in inches, e.g. width=1.3. If a string is provided, it is the size in relative units, e.g. width='40%'. By default, i.e. if neither bbox_to_anchor nor bbox_transform are specified, those are relative to the parent_axes. Otherwise they are to be understood relative to the bounding box provided via bbox_to_anchor. locstr, default: 'upper right' Location to place the inset axes. Valid locations are 'upper left', 'upper center', 'upper right', 'center left', 'center', 'center right', 'lower left', 'lower center, 'lower right'. For backward compatibility, numeric values are accepted as well. See the parameter loc of Legend for details. bbox_to_anchortuple or matplotlib.transforms.BboxBase, optional Bbox that the inset axes will be anchored to. If None, a tuple of (0, 0, 1, 1) is used if bbox_transform is set to parent_axes.transAxes or parent_axes.figure.transFigure. Otherwise, parent_axes.bbox is used. If a tuple, can be either [left, bottom, width, height], or [left, bottom]. If the kwargs width and/or height are specified in relative units, the 2-tuple [left, bottom] cannot be used. Note that, unless bbox_transform is set, the units of the bounding box are interpreted in the pixel coordinate. When using bbox_to_anchor with tuple, it almost always makes sense to also specify a bbox_transform. This might often be the axes transform parent_axes.transAxes. bbox_transformmatplotlib.transforms.Transform, optional Transformation for the bbox that contains the inset axes. If None, a transforms.IdentityTransform is used. The value of bbox_to_anchor (or the return value of its get_points method) is transformed by the bbox_transform and then interpreted as points in the pixel coordinate (which is dpi dependent). You may provide bbox_to_anchor in some normalized coordinate, and give an appropriate transform (e.g., parent_axes.transAxes). axes_classmatplotlib.axes.Axes type, default: HostAxes The type of the newly created inset axes. axes_kwargsdict, optional Keyword arguments to pass to the constructor of the inset axes. Valid arguments include: Property Description adjustable {'box', 'datalim'} agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None anchor (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', ...} animated bool aspect {'auto', 'equal'} or float autoscale_on bool autoscalex_on bool autoscaley_on bool axes_locator Callable[[Axes, Renderer], Bbox] axisbelow bool or 'line' box_aspect float or None clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None facecolor or fc color figure Figure frame_on bool gid str in_layout bool label object navigate bool navigate_mode unknown path_effects AbstractPathEffect picker None or bool or float or callable position [left, bottom, width, height] or Bbox prop_cycle unknown rasterization_zorder float or None rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None title str transform Transform url str visible bool xbound unknown xlabel str xlim (bottom: float, top: float) xmargin float greater than -0.5 xscale {"linear", "log", "symlog", "logit", ...} or ScaleBase xticklabels unknown xticks unknown ybound unknown ylabel str ylim (bottom: float, top: float) ymargin float greater than -0.5 yscale {"linear", "log", "symlog", "logit", ...} or ScaleBase yticklabels unknown yticks unknown zorder float borderpadfloat, default: 0.5 Padding between inset axes and the bbox_to_anchor. The units are axes font size, i.e. for a default font size of 10 points borderpad = 0.5 is equivalent to a padding of 5 points. Returns inset_axesaxes_class Inset axes object created. Notes The meaning of bbox_to_anchor and bbox_to_transform is interpreted differently from that of legend. The value of bbox_to_anchor (or the return value of its get_points method; the default is parent_axes.bbox) is transformed by the bbox_transform (the default is Identity transform) and then interpreted as points in the pixel coordinate (which is dpi dependent). Thus, following three calls are identical and creates an inset axes with respect to the parent_axes: axins = inset_axes(parent_axes, "30%", "40%") axins = inset_axes(parent_axes, "30%", "40%", bbox_to_anchor=parent_axes.bbox) axins = inset_axes(parent_axes, "30%", "40%", bbox_to_anchor=(0, 0, 1, 1), bbox_transform=parent_axes.transAxes) Examples using mpl_toolkits.axes_grid1.inset_locator.inset_axes Adding a colorbar to inset axes Controlling the position and size of colorbars with Inset Axes Inset Locator Demo
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.inset_axes
mpl_toolkits.axes_grid1.inset_locator.InsetPosition classmpl_toolkits.axes_grid1.inset_locator.InsetPosition(parent, lbwh)[source] Bases: object An object for positioning an inset axes. This is created by specifying the normalized coordinates in the axes, instead of the figure. Parameters parentmatplotlib.axes.Axes Axes to use for normalizing coordinates. lbwhiterable of four floats The left edge, bottom edge, width, and height of the inset axes, in units of the normalized coordinate of the parent axes. See also matplotlib.axes.Axes.set_axes_locator() Examples The following bounds the inset axes to a box with 20% of the parent axes's height and 40% of the width. The size of the axes specified ([0, 0, 1, 1]) ensures that the axes completely fills the bounding box: >>> parent_axes = plt.gca() >>> ax_ins = plt.axes([0, 0, 1, 1]) >>> ip = InsetPosition(ax, [0.5, 0.1, 0.4, 0.2]) >>> ax_ins.set_axes_locator(ip) __call__(ax, renderer)[source] Call self as a function.
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.insetposition
__call__(ax, renderer)[source] Call self as a function.
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.insetposition#mpl_toolkits.axes_grid1.inset_locator.InsetPosition.__call__
mpl_toolkits.axes_grid1.inset_locator.mark_inset mpl_toolkits.axes_grid1.inset_locator.mark_inset(parent_axes, inset_axes, loc1, loc2, **kwargs)[source] Draw a box to mark the location of an area represented by an inset axes. This function draws a box in parent_axes at the bounding box of inset_axes, and shows a connection with the inset axes by drawing lines at the corners, giving a "zoomed in" effect. Parameters parent_axesmatplotlib.axes.Axes Axes which contains the area of the inset axes. inset_axesmatplotlib.axes.Axes The inset axes. loc1, loc2{1, 2, 3, 4} Corners to use for connecting the inset axes and the area in the parent axes. **kwargs Patch properties for the lines and box drawn: Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha unknown animated bool antialiased or aa bool or None capstyle CapStyle or {'butt', 'projecting', 'round'} clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None color color edgecolor or ec color or None facecolor or fc color or None figure Figure fill bool gid str hatch {'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'} in_layout bool joinstyle JoinStyle or {'miter', 'round', 'bevel'} label object linestyle or ls {'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidth or lw float or None path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible bool zorder float Returns ppmatplotlib.patches.Patch The patch drawn to represent the area of the inset axes. p1, p2matplotlib.patches.Patch The patches connecting two corners of the inset axes and its area. Examples using mpl_toolkits.axes_grid1.inset_locator.mark_inset Inset Locator Demo2
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.mark_inset
mpl_toolkits.axes_grid1.inset_locator.zoomed_inset_axes mpl_toolkits.axes_grid1.inset_locator.zoomed_inset_axes(parent_axes, zoom, loc='upper right', bbox_to_anchor=None, bbox_transform=None, axes_class=None, axes_kwargs=None, borderpad=0.5)[source] Create an anchored inset axes by scaling a parent axes. For usage, also see the examples. Parameters parent_axesmatplotlib.axes.Axes Axes to place the inset axes. zoomfloat Scaling factor of the data axes. zoom > 1 will enlarge the coordinates (i.e., "zoomed in"), while zoom < 1 will shrink the coordinates (i.e., "zoomed out"). locstr, default: 'upper right' Location to place the inset axes. Valid locations are 'upper left', 'upper center', 'upper right', 'center left', 'center', 'center right', 'lower left', 'lower center, 'lower right'. For backward compatibility, numeric values are accepted as well. See the parameter loc of Legend for details. bbox_to_anchortuple or matplotlib.transforms.BboxBase, optional Bbox that the inset axes will be anchored to. If None, parent_axes.bbox is used. If a tuple, can be either [left, bottom, width, height], or [left, bottom]. If the kwargs width and/or height are specified in relative units, the 2-tuple [left, bottom] cannot be used. Note that the units of the bounding box are determined through the transform in use. When using bbox_to_anchor it almost always makes sense to also specify a bbox_transform. This might often be the axes transform parent_axes.transAxes. bbox_transformmatplotlib.transforms.Transform, optional Transformation for the bbox that contains the inset axes. If None, a transforms.IdentityTransform is used (i.e. pixel coordinates). This is useful when not providing any argument to bbox_to_anchor. When using bbox_to_anchor it almost always makes sense to also specify a bbox_transform. This might often be the axes transform parent_axes.transAxes. Inversely, when specifying the axes- or figure-transform here, be aware that not specifying bbox_to_anchor will use parent_axes.bbox, the units of which are in display (pixel) coordinates. axes_classmatplotlib.axes.Axes type, default: HostAxes The type of the newly created inset axes. axes_kwargsdict, optional Keyword arguments to pass to the constructor of the inset axes. Valid arguments include: Property Description adjustable {'box', 'datalim'} agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None anchor (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', ...} animated bool aspect {'auto', 'equal'} or float autoscale_on bool autoscalex_on bool autoscaley_on bool axes_locator Callable[[Axes, Renderer], Bbox] axisbelow bool or 'line' box_aspect float or None clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None facecolor or fc color figure Figure frame_on bool gid str in_layout bool label object navigate bool navigate_mode unknown path_effects AbstractPathEffect picker None or bool or float or callable position [left, bottom, width, height] or Bbox prop_cycle unknown rasterization_zorder float or None rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None title str transform Transform url str visible bool xbound unknown xlabel str xlim (bottom: float, top: float) xmargin float greater than -0.5 xscale {"linear", "log", "symlog", "logit", ...} or ScaleBase xticklabels unknown xticks unknown ybound unknown ylabel str ylim (bottom: float, top: float) ymargin float greater than -0.5 yscale {"linear", "log", "symlog", "logit", ...} or ScaleBase yticklabels unknown yticks unknown zorder float borderpadfloat, default: 0.5 Padding between inset axes and the bbox_to_anchor. The units are axes font size, i.e. for a default font size of 10 points borderpad = 0.5 is equivalent to a padding of 5 points. Returns inset_axesaxes_class Inset axes object created. Examples using mpl_toolkits.axes_grid1.inset_locator.zoomed_inset_axes Adding a colorbar to inset axes Inset Locator Demo2
matplotlib._as_gen.mpl_toolkits.axes_grid1.inset_locator.zoomed_inset_axes
mpl_toolkits.axes_grid1.mpl_axes Classes Axes(fig, rect, *[, facecolor, frameon, ...]) Build an Axes in a figure. SimpleAxisArtist(axis, axisnum, spine) SimpleChainedObjects(objects)
matplotlib._as_gen.mpl_toolkits.axes_grid1.mpl_axes
mpl_toolkits.axes_grid1.mpl_axes.Axes classmpl_toolkits.axes_grid1.mpl_axes.Axes(fig, rect, *, facecolor=None, frameon=True, sharex=None, sharey=None, label='', xscale=None, yscale=None, box_aspect=None, **kwargs)[source] Bases: matplotlib.axes._axes.Axes Build an Axes in a figure. Parameters figFigure The Axes is built in the Figure fig. rect[left, bottom, width, height] The Axes is built in the rectangle rect. rect is in Figure coordinates. sharex, shareyAxes, optional The x or y axis is shared with the x or y axis in the input Axes. frameonbool, default: True Whether the Axes frame is visible. box_aspectfloat, optional Set a fixed aspect for the Axes box, i.e. the ratio of height to width. See set_box_aspect for details. **kwargs Other optional keyword arguments: Property Description adjustable {'box', 'datalim'} agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None anchor (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', ...} animated bool aspect {'auto', 'equal'} or float autoscale_on bool autoscalex_on bool autoscaley_on bool axes_locator Callable[[Axes, Renderer], Bbox] axisbelow bool or 'line' box_aspect float or None clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None facecolor or fc color figure Figure frame_on bool gid str in_layout bool label object navigate bool navigate_mode unknown path_effects AbstractPathEffect picker None or bool or float or callable position [left, bottom, width, height] or Bbox prop_cycle unknown rasterization_zorder float or None rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None title str transform Transform url str visible bool xbound unknown xlabel str xlim (bottom: float, top: float) xmargin float greater than -0.5 xscale {"linear", "log", "symlog", "logit", ...} or ScaleBase xticklabels unknown xticks unknown ybound unknown ylabel str ylim (bottom: float, top: float) ymargin float greater than -0.5 yscale {"linear", "log", "symlog", "logit", ...} or ScaleBase yticklabels unknown yticks unknown zorder float Returns Axes The new Axes object. classAxisDict(axes)[source] Bases: dict __call__(*v, **kwargs)[source] Call self as a function. propertyaxis Convenience method to get or set some axis properties. Call signatures: xmin, xmax, ymin, ymax = axis() xmin, xmax, ymin, ymax = axis([xmin, xmax, ymin, ymax]) xmin, xmax, ymin, ymax = axis(option) xmin, xmax, ymin, ymax = axis(**kwargs) Parameters xmin, xmax, ymin, ymaxfloat, optional The axis limits to be set. This can also be achieved using ax.set(xlim=(xmin, xmax), ylim=(ymin, ymax)) optionbool or str If a bool, turns axis lines and labels on or off. If a string, possible values are: Value Description 'on' Turn on axis lines and labels. Same as True. 'off' Turn off axis lines and labels. Same as False. 'equal' Set equal scaling (i.e., make circles circular) by changing axis limits. This is the same as ax.set_aspect('equal', adjustable='datalim'). Explicit data limits may not be respected in this case. 'scaled' Set equal scaling (i.e., make circles circular) by changing dimensions of the plot box. This is the same as ax.set_aspect('equal', adjustable='box', anchor='C'). Additionally, further autoscaling will be disabled. 'tight' Set limits just large enough to show all data, then disable further autoscaling. 'auto' Automatic scaling (fill plot box with data). 'image' 'scaled' with axis limits equal to data limits. 'square' Square plot; similar to 'scaled', but initially forcing xmax-xmin == ymax-ymin. emitbool, default: True Whether observers are notified of the axis limit change. This option is passed on to set_xlim and set_ylim. Returns xmin, xmax, ymin, ymaxfloat The axis limits. See also matplotlib.axes.Axes.set_xlim matplotlib.axes.Axes.set_ylim cla()[source] Clear the Axes. set(*, adjustable=<UNSET>, agg_filter=<UNSET>, alpha=<UNSET>, anchor=<UNSET>, animated=<UNSET>, aspect=<UNSET>, autoscale_on=<UNSET>, autoscalex_on=<UNSET>, autoscaley_on=<UNSET>, axes_locator=<UNSET>, axisbelow=<UNSET>, box_aspect=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, facecolor=<UNSET>, frame_on=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<UNSET>, navigate=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, position=<UNSET>, prop_cycle=<UNSET>, rasterization_zorder=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, title=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, xbound=<UNSET>, xlabel=<UNSET>, xlim=<UNSET>, xmargin=<UNSET>, xscale=<UNSET>, xticklabels=<UNSET>, xticks=<UNSET>, ybound=<UNSET>, ylabel=<UNSET>, ylim=<UNSET>, ymargin=<UNSET>, yscale=<UNSET>, yticklabels=<UNSET>, yticks=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description adjustable {'box', 'datalim'} agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None anchor (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', ...} animated bool aspect {'auto', 'equal'} or float autoscale_on bool autoscalex_on bool autoscaley_on bool axes_locator Callable[[Axes, Renderer], Bbox] axisbelow bool or 'line' box_aspect float or None clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None facecolor or fc color figure Figure frame_on bool gid str in_layout bool label object navigate bool navigate_mode unknown path_effects AbstractPathEffect picker None or bool or float or callable position [left, bottom, width, height] or Bbox prop_cycle unknown rasterization_zorder float or None rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None title str transform Transform url str visible bool xbound unknown xlabel str xlim (bottom: float, top: float) xmargin float greater than -0.5 xscale {"linear", "log", "symlog", "logit", ...} or ScaleBase xticklabels unknown xticks unknown ybound unknown ylabel str ylim (bottom: float, top: float) ymargin float greater than -0.5 yscale {"linear", "log", "symlog", "logit", ...} or ScaleBase yticklabels unknown yticks unknown zorder float Examples using mpl_toolkits.axes_grid1.mpl_axes.Axes Axes Divider Axes Grid2 Parasite Simple2 Simple ImageGrid Simple ImageGrid 2 Tight Layout guide
matplotlib._as_gen.mpl_toolkits.axes_grid1.mpl_axes.axes
classAxisDict(axes)[source] Bases: dict __call__(*v, **kwargs)[source] Call self as a function.
matplotlib._as_gen.mpl_toolkits.axes_grid1.mpl_axes.axes#mpl_toolkits.axes_grid1.mpl_axes.Axes.AxisDict
__call__(*v, **kwargs)[source] Call self as a function.
matplotlib._as_gen.mpl_toolkits.axes_grid1.mpl_axes.axes#mpl_toolkits.axes_grid1.mpl_axes.Axes.AxisDict.__call__
cla()[source] Clear the Axes.
matplotlib._as_gen.mpl_toolkits.axes_grid1.mpl_axes.axes#mpl_toolkits.axes_grid1.mpl_axes.Axes.cla
set(*, adjustable=<UNSET>, agg_filter=<UNSET>, alpha=<UNSET>, anchor=<UNSET>, animated=<UNSET>, aspect=<UNSET>, autoscale_on=<UNSET>, autoscalex_on=<UNSET>, autoscaley_on=<UNSET>, axes_locator=<UNSET>, axisbelow=<UNSET>, box_aspect=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, facecolor=<UNSET>, frame_on=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<UNSET>, navigate=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, position=<UNSET>, prop_cycle=<UNSET>, rasterization_zorder=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, title=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, xbound=<UNSET>, xlabel=<UNSET>, xlim=<UNSET>, xmargin=<UNSET>, xscale=<UNSET>, xticklabels=<UNSET>, xticks=<UNSET>, ybound=<UNSET>, ylabel=<UNSET>, ylim=<UNSET>, ymargin=<UNSET>, yscale=<UNSET>, yticklabels=<UNSET>, yticks=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description adjustable {'box', 'datalim'} agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None anchor (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', ...} animated bool aspect {'auto', 'equal'} or float autoscale_on bool autoscalex_on bool autoscaley_on bool axes_locator Callable[[Axes, Renderer], Bbox] axisbelow bool or 'line' box_aspect float or None clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None facecolor or fc color figure Figure frame_on bool gid str in_layout bool label object navigate bool navigate_mode unknown path_effects AbstractPathEffect picker None or bool or float or callable position [left, bottom, width, height] or Bbox prop_cycle unknown rasterization_zorder float or None rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None title str transform Transform url str visible bool xbound unknown xlabel str xlim (bottom: float, top: float) xmargin float greater than -0.5 xscale {"linear", "log", "symlog", "logit", ...} or ScaleBase xticklabels unknown xticks unknown ybound unknown ylabel str ylim (bottom: float, top: float) ymargin float greater than -0.5 yscale {"linear", "log", "symlog", "logit", ...} or ScaleBase yticklabels unknown yticks unknown zorder float
matplotlib._as_gen.mpl_toolkits.axes_grid1.mpl_axes.axes#mpl_toolkits.axes_grid1.mpl_axes.Axes.set
mpl_toolkits.axes_grid1.mpl_axes.SimpleAxisArtist classmpl_toolkits.axes_grid1.mpl_axes.SimpleAxisArtist(axis, axisnum, spine)[source] Bases: matplotlib.artist.Artist propertylabel propertymajor_ticklabels propertymajor_ticks set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None animated bool clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None figure Figure gid str in_layout bool label unknown path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible unknown zorder float set_label(txt)[source] Set a label that will be displayed in the legend. Parameters sobject s will be converted to a string by calling str. set_visible(b)[source] Set the artist's visibility. Parameters bbool toggle(all=None, ticks=None, ticklabels=None, label=None)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.mpl_axes.simpleaxisartist
set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, zorder=<UNSET>)[source] Set multiple properties at once. Supported properties are Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None animated bool clip_box Bbox clip_on bool clip_path Patch or (Path, Transform) or None figure Figure gid str in_layout bool label unknown path_effects AbstractPathEffect picker None or bool or float or callable rasterized bool sketch_params (scale: float, length: float, randomness: float) snap bool or None transform Transform url str visible unknown zorder float
matplotlib._as_gen.mpl_toolkits.axes_grid1.mpl_axes.simpleaxisartist#mpl_toolkits.axes_grid1.mpl_axes.SimpleAxisArtist.set
set_label(txt)[source] Set a label that will be displayed in the legend. Parameters sobject s will be converted to a string by calling str.
matplotlib._as_gen.mpl_toolkits.axes_grid1.mpl_axes.simpleaxisartist#mpl_toolkits.axes_grid1.mpl_axes.SimpleAxisArtist.set_label
set_visible(b)[source] Set the artist's visibility. Parameters bbool
matplotlib._as_gen.mpl_toolkits.axes_grid1.mpl_axes.simpleaxisartist#mpl_toolkits.axes_grid1.mpl_axes.SimpleAxisArtist.set_visible
toggle(all=None, ticks=None, ticklabels=None, label=None)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.mpl_axes.simpleaxisartist#mpl_toolkits.axes_grid1.mpl_axes.SimpleAxisArtist.toggle
mpl_toolkits.axes_grid1.mpl_axes.SimpleChainedObjects classmpl_toolkits.axes_grid1.mpl_axes.SimpleChainedObjects(objects)[source] Bases: object __call__(*args, **kwargs)[source] Call self as a function.
matplotlib._as_gen.mpl_toolkits.axes_grid1.mpl_axes.simplechainedobjects
__call__(*args, **kwargs)[source] Call self as a function.
matplotlib._as_gen.mpl_toolkits.axes_grid1.mpl_axes.simplechainedobjects#mpl_toolkits.axes_grid1.mpl_axes.SimpleChainedObjects.__call__
mpl_toolkits.axes_grid1.parasite_axes Classes HostAxes alias of mpl_toolkits.axes_grid1.parasite_axes.AxesHostAxes HostAxesBase(*args, **kwargs) ParasiteAxes alias of mpl_toolkits.axes_grid1.parasite_axes.AxesParasite ParasiteAxesAuxTrans alias of mpl_toolkits.axes_grid1.parasite_axes.AxesParasiteParasiteAuxTrans ParasiteAxesAuxTransBase(parent_axes, ...[, ...]) [Deprecated] ParasiteAxesBase(parent_axes[, ...]) Functions host_axes(*args[, axes_class, figure]) Create axes that can act as a hosts to parasitic axes. host_axes_class_factory(axes_class) host_subplot(*args[, axes_class, figure]) Create a subplot that can act as a host to parasitic axes. host_subplot_class_factory(axes_class) parasite_axes_auxtrans_class_factory(axes_class) [Deprecated] parasite_axes_class_factory(axes_class)
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes
mpl_toolkits.axes_grid1.parasite_axes.host_axes mpl_toolkits.axes_grid1.parasite_axes.host_axes(*args, axes_class=<class 'mpl_toolkits.axes_grid1.mpl_axes.Axes'>, figure=None, **kwargs)[source] Create axes that can act as a hosts to parasitic axes. Parameters figurematplotlib.figure.Figure Figure to which the axes will be added. Defaults to the current figure pyplot.gcf(). *args, **kwargs Will be passed on to the underlying Axes object creation.
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.host_axes
mpl_toolkits.axes_grid1.parasite_axes.host_axes_class_factory mpl_toolkits.axes_grid1.parasite_axes.host_axes_class_factory(axes_class)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.host_axes_class_factory
mpl_toolkits.axes_grid1.parasite_axes.host_subplot mpl_toolkits.axes_grid1.parasite_axes.host_subplot(*args, axes_class=<class 'mpl_toolkits.axes_grid1.mpl_axes.Axes'>, figure=None, **kwargs)[source] Create a subplot that can act as a host to parasitic axes. Parameters figurematplotlib.figure.Figure Figure to which the subplot will be added. Defaults to the current figure pyplot.gcf(). *args, **kwargs Will be passed on to the underlying Axes object creation.
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.host_subplot
mpl_toolkits.axes_grid1.parasite_axes.host_subplot_class_factory mpl_toolkits.axes_grid1.parasite_axes.host_subplot_class_factory(axes_class)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.host_subplot_class_factory
mpl_toolkits.axes_grid1.parasite_axes.HostAxes mpl_toolkits.axes_grid1.parasite_axes.HostAxes[source] alias of mpl_toolkits.axes_grid1.parasite_axes.AxesHostAxes
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.hostaxes
mpl_toolkits.axes_grid1.parasite_axes.HostAxesBase classmpl_toolkits.axes_grid1.parasite_axes.HostAxesBase(*args, **kwargs)[source] Bases: object cla()[source] draw(renderer)[source] get_aux_axes(tr=None, viewlim_mode='equal', axes_class=<class 'mpl_toolkits.axes_grid1.mpl_axes.Axes'>)[source] Add a parasite axes to this host. Despite this method's name, this should actually be thought of as an add_parasite_axes method. tr may be Transform, in which case the following relation will hold: parasite.transData = tr + host.transData. Alternatively, it may be None (the default), no special relationship will hold between the parasite's and the host's transData. get_tightbbox(renderer, call_axes_locator=True, bbox_extra_artists=None)[source] pick(mouseevent)[source] twin(aux_trans=None, axes_class=None)[source] Create a twin of Axes with no shared axis. While self will have ticks on the left and bottom axis, the returned axes will have ticks on the top and right axis. twinx(axes_class=None)[source] Create a twin of Axes with a shared x-axis but independent y-axis. The y-axis of self will have ticks on the left and the returned axes will have ticks on the right. twiny(axes_class=None)[source] Create a twin of Axes with a shared y-axis but independent x-axis. The x-axis of self will have ticks on the bottom and the returned axes will have ticks on the top. Examples using mpl_toolkits.axes_grid1.parasite_axes.HostAxesBase Parasite Simple2 Curvilinear grid demo mpl_toolkits.axisartist.floating_axes features floating_axis demo Parasite Axes demo
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.hostaxesbase
cla()[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.hostaxesbase#mpl_toolkits.axes_grid1.parasite_axes.HostAxesBase.cla
draw(renderer)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.hostaxesbase#mpl_toolkits.axes_grid1.parasite_axes.HostAxesBase.draw
get_aux_axes(tr=None, viewlim_mode='equal', axes_class=<class 'mpl_toolkits.axes_grid1.mpl_axes.Axes'>)[source] Add a parasite axes to this host. Despite this method's name, this should actually be thought of as an add_parasite_axes method. tr may be Transform, in which case the following relation will hold: parasite.transData = tr + host.transData. Alternatively, it may be None (the default), no special relationship will hold between the parasite's and the host's transData.
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.hostaxesbase#mpl_toolkits.axes_grid1.parasite_axes.HostAxesBase.get_aux_axes
get_tightbbox(renderer, call_axes_locator=True, bbox_extra_artists=None)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.hostaxesbase#mpl_toolkits.axes_grid1.parasite_axes.HostAxesBase.get_tightbbox
pick(mouseevent)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.hostaxesbase#mpl_toolkits.axes_grid1.parasite_axes.HostAxesBase.pick
twin(aux_trans=None, axes_class=None)[source] Create a twin of Axes with no shared axis. While self will have ticks on the left and bottom axis, the returned axes will have ticks on the top and right axis.
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.hostaxesbase#mpl_toolkits.axes_grid1.parasite_axes.HostAxesBase.twin
twinx(axes_class=None)[source] Create a twin of Axes with a shared x-axis but independent y-axis. The y-axis of self will have ticks on the left and the returned axes will have ticks on the right.
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.hostaxesbase#mpl_toolkits.axes_grid1.parasite_axes.HostAxesBase.twinx
twiny(axes_class=None)[source] Create a twin of Axes with a shared y-axis but independent x-axis. The x-axis of self will have ticks on the bottom and the returned axes will have ticks on the top.
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.hostaxesbase#mpl_toolkits.axes_grid1.parasite_axes.HostAxesBase.twiny
mpl_toolkits.axes_grid1.parasite_axes.parasite_axes_auxtrans_class_factory mpl_toolkits.axes_grid1.parasite_axes.parasite_axes_auxtrans_class_factory(axes_class)[source] [Deprecated] Notes Deprecated since version 3.4:
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.parasite_axes_auxtrans_class_factory
mpl_toolkits.axes_grid1.parasite_axes.parasite_axes_class_factory mpl_toolkits.axes_grid1.parasite_axes.parasite_axes_class_factory(axes_class)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.parasite_axes_class_factory
mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxes mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxes[source] alias of mpl_toolkits.axes_grid1.parasite_axes.AxesParasite
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.parasiteaxes
mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesAuxTrans mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesAuxTrans[source] alias of mpl_toolkits.axes_grid1.parasite_axes.AxesParasiteParasiteAuxTrans
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.parasiteaxesauxtrans
mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesAuxTransBase classmpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesAuxTransBase(parent_axes, aux_transform, viewlim_mode=None, **kwargs)[source] Bases: object [Deprecated] Notes Deprecated since version 3.4: apply_aspect(position=None)[source] get_viewlim_mode()[source] set_viewlim_mode(mode)[source] update_viewlim()[source] [Deprecated] Notes Deprecated since version 3.4:
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.parasiteaxesauxtransbase
apply_aspect(position=None)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.parasiteaxesauxtransbase#mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesAuxTransBase.apply_aspect
get_viewlim_mode()[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.parasiteaxesauxtransbase#mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesAuxTransBase.get_viewlim_mode
set_viewlim_mode(mode)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.parasiteaxesauxtransbase#mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesAuxTransBase.set_viewlim_mode
update_viewlim()[source] [Deprecated] Notes Deprecated since version 3.4:
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.parasiteaxesauxtransbase#mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesAuxTransBase.update_viewlim
mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesBase classmpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesBase(parent_axes, aux_transform=None, *, viewlim_mode=None, **kwargs)[source] Bases: object apply_aspect(position=None)[source] cla()[source] get_images_artists()[source] [Deprecated] Notes Deprecated since version 3.5: get_viewlim_mode()[source] pick(mouseevent)[source] set_viewlim_mode(mode)[source] update_viewlim()[source] [Deprecated] Notes Deprecated since version 3.4: Examples using mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesBase Parasite Axes demo
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.parasiteaxesbase
apply_aspect(position=None)[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.parasiteaxesbase#mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesBase.apply_aspect
cla()[source]
matplotlib._as_gen.mpl_toolkits.axes_grid1.parasite_axes.parasiteaxesbase#mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesBase.cla