#!/usr/bin/env python3
"""
The figure class used for all ultraplot figures.
"""

import functools
import inspect
import os
from numbers import Integral

from packaging import version

try:
    from typing import List, Optional, Tuple, Union
except ImportError:
    from typing_extensions import List, Optional, Tuple, Union

import matplotlib.axes as maxes
import matplotlib.figure as mfigure
import matplotlib.gridspec as mgridspec
import matplotlib.projections as mproj
import matplotlib.text as mtext
import matplotlib.transforms as mtransforms
import numpy as np

try:
    from typing import override
except:
    from typing_extensions import override

from . import axes as paxes
from . import constructor
from . import gridspec as pgridspec
from .config import rc, rc_matplotlib
from .internals import (
    _not_none,
    _pop_params,
    _pop_rc,
    _translate_loc,
    context,
    docstring,
    ic,  # noqa: F401
    labels,
    warnings,
)
from .utils import _Crawler, units

__all__ = [
    "Figure",
]


# Preset figure widths or sizes based on academic journal recommendations
# NOTE: Please feel free to add to this!
JOURNAL_SIZES = {
    "aaas1": "5.5cm",
    "aaas2": "12cm",
    "agu1": ("95mm", "115mm"),
    "agu2": ("190mm", "115mm"),
    "agu3": ("95mm", "230mm"),
    "agu4": ("190mm", "230mm"),
    "ams1": 3.2,
    "ams2": 4.5,
    "ams3": 5.5,
    "ams4": 6.5,
    "cop1": "8.3cm",
    "cop2": "12cm",
    "nat1": "89mm",
    "nat2": "183mm",
    "pnas1": "8.7cm",
    "pnas2": "11.4cm",
    "pnas3": "17.8cm",
}


# Figure docstring
_figure_docstring = """
refnum : int, optional
    The reference subplot number. The `refwidth`, `refheight`, and `refaspect`
    keyword args are applied to this subplot, and the aspect ratio is conserved
    for this subplot in the `~Figure.auto_layout`. The default is the first
    subplot created in the figure.
refaspect : float or 2-tuple of float, optional
    The reference subplot aspect ratio. If scalar, this indicates the width
    divided by height. If 2-tuple, this indicates the (width, height). Ignored
    if both `figwidth` *and* `figheight` or both `refwidth` *and* `refheight` were
    passed. The default value is ``1`` or the "data aspect ratio" if the latter
    is explicitly fixed (as with `~ultraplot.axes.PlotAxes.imshow` plots and
    `~ultraplot.axes.Axes.GeoAxes` projections; see :func:`~matplotlib.axes.Axes.set_aspect`).
refwidth, refheight : unit-spec, default: :rc:`subplots.refwidth`
    The width, height of the reference subplot.
    %(units.in)s
    Ignored if `figwidth`, `figheight`, or `figsize` was passed. If you
    specify just one, `refaspect` will be respected.
ref, aspect, axwidth, axheight
    Aliases for `refnum`, `refaspect`, `refwidth`, `refheight`.
    *These may be deprecated in a future release.*
figwidth, figheight : unit-spec, optional
    The figure width and height. Default behavior is to use `refwidth`.
    %(units.in)s
    If you specify just one, `refaspect` will be respected.
width, height
    Aliases for `figwidth`, `figheight`.
figsize : 2-tuple, optional
    Tuple specifying the figure ``(width, height)``.
sharex, sharey, share \
: {0, False, 1, 'labels', 'labs', 2, 'limits', 'lims', 3, True, 4, 'all', 'auto'}, \
default: :rc:`subplots.share`
    The axis sharing "level" for the *x* axis, *y* axis, or both
    axes. Options are as follows:

    * ``0`` or ``False``: No axis sharing. This also sets the default `spanx`
      and `spany` values to ``False``.
    * ``1`` or ``'labels'`` or ``'labs'``: Only draw axis labels on the bottommost
      row or leftmost column of subplots. Tick labels still appear on every subplot.
    * ``2`` or ``'limits'`` or ``'lims'``: As above but force the axis limits, scales,
      and tick locations to be identical. Tick labels still appear on every subplot.
    * ``3`` or ``True``: As above but only show the tick labels on the bottommost
      row and leftmost column of subplots.
    * ``4`` or ``'all'``: As above but also share the axis limits, scales, and
      tick locations between subplots not in the same row or column.
    * ``'auto'``: Start from level ``3`` and only share axes that are compatible
      (for example, mixed cartesian and polar axes are kept unshared).

    Explicit sharing levels (``0`` to ``4`` and aliases) still force sharing
    attempts and can emit warnings for incompatible axes.

spanx, spany, span : bool or {0, 1}, default: :rc:`subplots.span`
    Whether to use "spanning" axis labels for the *x* axis, *y* axis, or both
    axes. Default is ``False`` if `sharex`, `sharey`, or `share` are ``0`` or
    ``False``. When ``True``, a single, centered axis label is used for all axes
    with bottom and left edges in the same row or column. This can considerably
    redundancy in your figure. "Spanning" labels integrate with "shared" axes. For
    example, for a 3-row, 3-column figure, with ``sharey > 1`` and ``spany == True``,
    your figure will have 1 y axis label instead of 9 y axis labels.
alignx, aligny, align : bool or {0, 1}, default: :rc:`subplots.align`
    Whether to `"align" axis labels \
<https://matplotlib.org/stable/gallery/subplots_axes_and_figures/align_labels_demo.html>`__
    for the *x* axis, *y* axis, or both axes. Aligned labels always appear in the same
    row or column. This is ignored if `spanx`, `spany`, or `span` are ``True``.
%(gridspec.shared)s
%(gridspec.scalar)s
tight : bool, default: :rc`subplots.tight`
    Whether automatic calls to `~Figure.auto_layout` should include
    :ref:`tight layout adjustments <ug_tight>`. If you manually specified a spacing
    in the call to `~ultraplot.ui.subplots`, it will be used to override the tight
    layout spacing. For example, with ``left=1``, the left margin is set to 1
    em-width, while the remaining margin widths are calculated automatically.
%(gridspec.tight)s
journal : str, optional
    String corresponding to an academic journal standard used to control the figure
    width `figwidth` and, if specified, the figure height `figheight`. See the below
    table. Feel free to add to this table by submitting a pull request.

    .. _journal_table:

    ===========  ====================  \
===============================================================================
    Key          Size description      Organization
    ===========  ====================  \
===============================================================================
    ``'aaas1'``  1-column              \
`American Association for the Advancement of Science <aaas_>`_ (e.g. *Science*)
    ``'aaas2'``  2-column              ”
    ``'agu1'``   1-column              `American Geophysical Union <agu_>`_
    ``'agu2'``   2-column              ”
    ``'agu3'``   full height 1-column  ”
    ``'agu4'``   full height 2-column  ”
    ``'ams1'``   1-column              `American Meteorological Society <ams_>`_
    ``'ams2'``   small 2-column        ”
    ``'ams3'``   medium 2-column       ”
    ``'ams4'``   full 2-column         ”
    ``'cop1'``   1-column              \
`Copernicus Publications <cop_>`_ (e.g. *The Cryosphere*, *Geoscientific Model Development*)
    ``'cop2'``   2-column              ”
    ``'nat1'``   1-column              `Nature Research <nat_>`_
    ``'nat2'``   2-column              ”
    ``'pnas1'``  1-column              \
`Proceedings of the National Academy of Sciences <pnas_>`_
    ``'pnas2'``  2-column              ”
    ``'pnas3'``  landscape page        ”
    ===========  ====================  \
===============================================================================

    .. _aaas: \
https://www.sciencemag.org/authors/instructions-preparing-initial-manuscript
    .. _agu: \
https://www.agu.org/Publish-with-AGU/Publish/Author-Resources/Graphic-Requirements
    .. _ams: \
https://www.ametsoc.org/ams/index.cfm/publications/authors/journal-and-bams-authors/figure-information-for-authors/
    .. _cop: \
https://publications.copernicus.org/for_authors/manuscript_preparation.html#figurestables
    .. _nat: \
https://www.nature.com/nature/for-authors/formatting-guide
    .. _pnas: \
https://www.pnas.org/page/authors/format
"""
docstring._snippet_manager["figure.figure"] = _figure_docstring


# Multiple subplots
_subplots_params_docstring = """
array : `ultraplot.gridspec.GridSpec` or array-like of int, optional
    The subplot grid specifier. If a :class:`~ultraplot.gridspec.GridSpec`, one subplot is
    drawn for each unique :class:`~ultraplot.gridspec.GridSpec` slot. If a 2D array of integers,
    one subplot is drawn for each unique integer in the array. Think of this array as
    a "picture" of the subplot grid -- for example, the array ``[[1, 1], [2, 3]]``
    creates one long subplot in the top row, two smaller subplots in the bottom row.
    Integers must range from 1 to the number of plots, and ``0`` indicates an
    empty space -- for example, ``[[1, 1, 1], [2, 0, 3]]`` creates one long subplot
    in the top row with two subplots in the bottom row separated by a space.
nrows, ncols : int, default: 1
    The number of rows and columns in the subplot grid. Ignored
    if `array` was passed. Use these arguments for simple subplot grids.
order : {'C', 'F'}, default: 'C'
    Whether subplots are numbered in column-major (``'C'``) or row-major (``'F'``)
    order. Analogous to `numpy.array` ordering. This controls the order that
    subplots appear in the `SubplotGrid` returned by this function, and the order
    of subplot a-b-c labels (see `~ultraplot.axes.Axes.format`).
%(axes.proj)s

    To use different projections for different subplots, you have
    two options:

    * Pass a *list* of projection specifications, one for each subplot.
      For example, ``uplt.subplots(ncols=2, proj=('cart', 'robin'))``.
    * Pass a *dictionary* of projection specifications, where the
      keys are integers or tuples of integers that indicate the projection
      to use for the corresponding subplot number(s). If a key is not
      provided, the default projection ``'cartesian'`` is used. For example,
      ``uplt.subplots(ncols=4, proj={2: 'cyl', (3, 4): 'stere'})`` creates
      a figure with a default Cartesian axes for the first subplot, a Mercator
      projection for the second subplot, and a Stereographic projection
      for the third and fourth subplots.

%(axes.proj_kw)s
    If dictionary of properties, applies globally. If list or dictionary of
    dictionaries, applies to specific subplots, as with `proj`. For example,
    ``uplt.subplots(ncols=2, proj='cyl', proj_kw=({'lon_0': 0}, {'lon_0': 180})``
    centers the projection in the left subplot on the prime meridian and in the
    right subplot on the international dateline.
%(axes.backend)s
    If string, applies to all subplots. If list or dict, applies to specific
    subplots, as with `proj`.
%(gridspec.shared)s
%(gridspec.vector)s
%(gridspec.tight)s
"""
docstring._snippet_manager["figure.subplots_params"] = _subplots_params_docstring


# Extra args docstring
_axes_params_docstring = """
**kwargs
    Passed to the ultraplot class `ultraplot.axes.CartesianAxes`, `ultraplot.axes.PolarAxes`,
    `ultraplot.axes.GeoAxes`, or `ultraplot.axes.ThreeAxes`. This can include keyword
    arguments for projection-specific ``format`` commands.
"""
docstring._snippet_manager["figure.axes_params"] = _axes_params_docstring


# Multiple subplots docstring
_subplots_docstring = """
Add an arbitrary grid of subplots to the figure.

Parameters
----------
%(figure.subplots_params)s

Other parameters
----------------
%(figure.figure)s
%(figure.axes_params)s

Returns
-------
axs : SubplotGrid
    The axes instances stored in a `SubplotGrid`.

See also
--------
ultraplot.ui.figure
ultraplot.ui.subplots
ultraplot.figure.Figure.subplot
ultraplot.figure.Figure.add_subplot
ultraplot.gridspec.SubplotGrid
ultraplot.axes.Axes
"""
docstring._snippet_manager["figure.subplots"] = _subplots_docstring


# Single subplot docstring
_subplot_docstring = """
Add a subplot axes to the figure.

Parameters
----------
*args : int, tuple, or `~matplotlib.gridspec.SubplotSpec`, optional
    The subplot location specifier. Your options are:

    * A single 3-digit integer argument specifying the number of rows,
      number of columns, and gridspec number (using row-major indexing).
    * Three positional arguments specifying the number of rows, number of
      columns, and gridspec number (int) or number range (2-tuple of int).
    * A `~matplotlib.gridspec.SubplotSpec` instance generated by indexing
      a ultraplot :class:`~ultraplot.gridspec.GridSpec`.

    For integer input, the implied geometry must be compatible with the implied
    geometry from previous calls -- for example, ``fig.add_subplot(331)`` followed
    by ``fig.add_subplot(132)`` is valid because the 1 row of the second input can
    be tiled into the 3 rows of the the first input, but ``fig.add_subplot(232)``
    will raise an error because 2 rows cannot be tiled into 3 rows. For
    `~matplotlib.gridspec.SubplotSpec` input, the `~matplotlig.gridspec.SubplotSpec`
    must be derived from the :class:`~ultraplot.gridspec.GridSpec` used in previous calls.

    These restrictions arise because we allocate a single,
    unique `~Figure.gridspec` for each figure.
number : int, optional
    The axes number used for a-b-c labeling. See `~ultraplot.axes.Axes.format` for
    details. By default this is incremented automatically based on the other subplots
    in the figure. Use e.g. ``number=None`` or ``number=False`` to ensure the subplot
    has no a-b-c label. Note the number corresponding to `a` is ``1``, not ``0``.
autoshare : bool, default: True
    Whether to automatically share the *x* and *y* axes with subplots spanning the
    same rows and columns based on the figure-wide `sharex` and `sharey` settings.
    This has no effect if :rcraw:`subplots.share` is ``False`` or if ``sharex=False``
    or ``sharey=False`` were passed to the figure.
%(axes.proj)s
%(axes.proj_kw)s
%(axes.backend)s

Other parameters
----------------
%(figure.axes_params)s

See also
--------
ultraplot.figure.Figure.add_axes
ultraplot.figure.Figure.subplots
ultraplot.figure.Figure.add_subplots
"""
docstring._snippet_manager["figure.subplot"] = _subplot_docstring


# Single axes
_axes_docstring = """
Add a non-subplot axes to the figure.

Parameters
----------
rect : 4-tuple of float
    The (left, bottom, width, height) dimensions of the axes in
    figure-relative coordinates.
%(axes.proj)s
%(axes.proj_kw)s
%(axes.backend)s

Other parameters
----------------
%(figure.axes_params)s

See also
--------
ultraplot.figure.Figure.subplot
ultraplot.figure.Figure.add_subplot
ultraplot.figure.Figure.subplots
ultraplot.figure.Figure.add_subplots
"""
docstring._snippet_manager["figure.axes"] = _axes_docstring


# Colorbar or legend panel docstring
_space_docstring = """
loc : str, optional
    The {name} location. Valid location keys are as follows.

%(axes.panel_loc)s

space : float or str, default: None
    The fixed space between the {name} and the subplot grid edge.
    %(units.em)s
    When the :ref:`tight layout algorithm <ug_tight>` is active for the figure,
    `space` is computed automatically (see `pad`). Otherwise, `space` is set to
    a suitable default.
pad : float or str, default: :rc:`subplots.innerpad` or :rc:`subplots.panelpad`
    The :ref:`tight layout padding <ug_tight>` between the {name} and the
    subplot grid. Default is :rcraw:`subplots.innerpad` for the first {name}
    and :rcraw:`subplots.panelpad` for subsequently "stacked" {name}s.
    %(units.em)s
row, rows
    Aliases for `span` for {name}s on the left or right side.
col, cols
    Aliases for `span` for {name}s on the top or bottom side.
span : int or 2-tuple of int, default: None
    Integer(s) indicating the span of the {name} across rows and columns of
    subplots. For example, ``fig.{name}(loc='b', col=1)`` draws a {name} beneath
    the leftmost column of subplots, and ``fig.{name}(loc='b', cols=(1, 2))``
    draws a {name} beneath the left two columns of subplots. By default
    the {name} will span every subplot row and column.
align : {{'center', 'top', 't', 'bottom', 'b', 'left', 'l', 'right', 'r'}}, optional
    For outer {name}s only. How to align the {name} against the
    subplot edge. The values ``'top'`` and ``'bottom'`` are valid for left and
    right {name}s and ``'left'`` and ``'right'`` are valid for top and bottom
    {name}s. The default is always ``'center'``.
"""
docstring._snippet_manager["figure.legend_space"] = _space_docstring.format(
    name="legend"
)  # noqa: E501
docstring._snippet_manager["figure.colorbar_space"] = _space_docstring.format(
    name="colorbar"
)  # noqa: E501


# Save docstring
_save_docstring = """
Save the figure.

Parameters
----------
path : path-like, optional
    The file path. User paths are expanded with `os.path.expanduser`.
**kwargs
    Passed to `~matplotlib.figure.Figure.savefig`

See also
--------
Figure.save
Figure.savefig
matplotlib.figure.Figure.savefig
"""
docstring._snippet_manager["figure.save"] = _save_docstring


def _get_journal_size(preset):
    """
    Return the width and height corresponding to the given preset.
    """
    value = JOURNAL_SIZES.get(preset, None)
    if value is None:
        raise ValueError(
            f"Unknown preset figure size specifier {preset!r}. "
            "Current options are: " + ", ".join(map(repr, JOURNAL_SIZES.keys()))
        )
    figwidth = figheight = None
    try:
        figwidth, figheight = value
    except (TypeError, ValueError):
        figwidth = value
    return figwidth, figheight


def _add_canvas_preprocessor(canvas, method, cache=False):
    """
    Return a pre-processer that can be used to override instance-level
    canvas draw() and print_figure() methods. This applies tight layout
    and aspect ratio-conserving adjustments and aligns labels. Required
    so canvas methods instantiate renderers with the correct dimensions.
    """

    # NOTE: Renderer must be (1) initialized with the correct figure size or
    # (2) changed inplace during draw, but vector graphic renderers *cannot*
    # be changed inplace. So options include (1) monkey patch
    # canvas.get_width_height, overriding figure.get_size_inches, and exploit
    # the FigureCanvasAgg.get_renderer() implementation (because FigureCanvasAgg
    # queries the bbox directly rather than using get_width_height() so requires
    # workaround), (2) override bbox and bbox_inches as *properties* (but these
    # are really complicated, dangerous, and result in unnecessary extra draws),
    # or (3) simply override canvas draw methods. Our choice is #3.
    def _needs_post_tight_layout(fig):
        """
        Return True if the figure should run a second tight-layout pass after draw.
        """
        if not getattr(fig, "_tight_active", False):
            return False
        for ax in fig._iter_axes(hidden=True, children=False):
            name = getattr(ax, "_name", None) or getattr(ax, "name", None)
            if name in ("polar",):
                return True
        return False

    def _canvas_preprocess(self, *args, **kwargs):
        fig = self.figure  # update even if not stale! needed after saves
        func = getattr(type(self), method)  # the original method

        # Bail out if we are already adjusting layout
        # NOTE: The _is_adjusting check necessary when inserting new
        # gridspec rows or columns with the qt backend.
        # NOTE: Return value for macosx _draw is the renderer, for qt draw is
        # nothing, and for print_figure is some figure object, but this block
        # has never been invoked when calling print_figure.
        if fig._is_adjusting:
            if method == "_draw":  # macosx backend
                return fig._get_renderer()
            else:
                return

        skip_autolayout = getattr(fig, "_skip_autolayout", False)
        layout_dirty = getattr(fig, "_layout_dirty", False)
        if (
            skip_autolayout
            and getattr(fig, "_layout_initialized", False)
            and not layout_dirty
        ):
            fig._skip_autolayout = False
            return func(self, *args, **kwargs)
        fig._skip_autolayout = False

        # Adjust layout
        # NOTE: The authorized_context is needed because some backends disable
        # constrained layout or tight layout before printing the figure.
        ctx1 = fig._context_adjusting(cache=cache)
        ctx2 = fig._context_authorized()  # skip backend set_constrained_layout()
        ctx3 = rc.context(fig._render_context)  # draw with figure-specific setting
        with ctx1, ctx2, ctx3:
            needs_post_layout = False
            if not fig._layout_initialized or layout_dirty:
                fig.auto_layout()
                fig._layout_initialized = True
                fig._layout_dirty = False
                needs_post_layout = _needs_post_tight_layout(fig)
            result = func(self, *args, **kwargs)
            if needs_post_layout:
                fig.auto_layout()
                result = func(self, *args, **kwargs)
            return result

    # Add preprocessor
    setattr(canvas, method, _canvas_preprocess.__get__(canvas))
    return canvas


def _clear_border_cache(func):
    """
    Decorator that clears the border cache after function execution.
    """

    @functools.wraps(func)
    def wrapper(self, *args, **kwargs):
        result = func(self, *args, **kwargs)
        if hasattr(self, "_cached_border_axes"):
            delattr(self, "_cached_border_axes")
        return result

    return wrapper


class Figure(mfigure.Figure):
    """
    The `~matplotlib.figure.Figure` subclass used by ultraplot.
    """

    # Shared error and warning messages
    _share_message = (
        "Axis sharing level can be 0 or False (share nothing), "
        "1 or 'labels' or 'labs' (share axis labels), "
        "2 or 'limits' or 'lims' (share axis limits and axis labels), "
        "3 or True (share axis limits, axis labels, and tick labels), "
        "4 or 'all' (share axis labels and tick labels in the same gridspec "
        "rows and columns and share axis limits across all subplots), "
        "or 'auto' (start unshared and share only compatible axes)."
    )
    _space_message = (
        "To set the left, right, bottom, top, wspace, or hspace gridspec values, "
        "pass them as keyword arguments to uplt.figure() or uplt.subplots(). Please "
        "note they are now specified in physical units, with strings interpreted by "
        "uplt.units() and floats interpreted as font size-widths."
    )
    _tight_message = (
        "ultraplot uses its own tight layout algorithm that is activated by default. "
        "To disable it, set uplt.rc['subplots.tight'] to False or pass tight=False "
        "to uplt.subplots(). For details, see fig.auto_layout()."
    )
    _warn_interactive = True  # disabled after first warning

    def __repr__(self):
        opts = {}
        for attr in ("refaspect", "refwidth", "refheight", "figwidth", "figheight"):
            value = getattr(self, "_" + attr)
            if value is not None:
                opts[attr] = np.round(value, 2)
        geom = ""
        if self.gridspec:
            nrows, ncols = self.gridspec.get_geometry()
            geom = f"nrows={nrows}, ncols={ncols}, "
        opts = ", ".join(f"{key}={value!r}" for key, value in opts.items())
        return f"Figure({geom}{opts})"

    # NOTE: If _rename_kwargs argument is an invalid identifier, it is
    # simply used in the warning message.
    @docstring._obfuscate_kwargs
    @docstring._snippet_manager
    @warnings._rename_kwargs(
        "0.7.0", axpad="innerpad", autoformat="uplt.rc.autoformat = {}"
    )
    def __init__(
        self,
        *,
        refnum=None,
        ref=None,
        refaspect=None,
        aspect=None,
        refwidth=None,
        refheight=None,
        axwidth=None,
        axheight=None,
        figwidth=None,
        figheight=None,
        width=None,
        height=None,
        journal=None,
        sharex=None,
        sharey=None,
        share=None,  # used for default spaces
        spanx=None,
        spany=None,
        span=None,
        alignx=None,
        aligny=None,
        align=None,
        left=None,
        right=None,
        top=None,
        bottom=None,
        wspace=None,
        hspace=None,
        space=None,
        tight=None,
        outerpad=None,
        innerpad=None,
        panelpad=None,
        wpad=None,
        hpad=None,
        pad=None,
        wequal=None,
        hequal=None,
        equal=None,
        wgroup=None,
        hgroup=None,
        group=None,
        **kwargs,
    ):
        """
        Parameters
        ----------
        %(figure.figure)s

        Other parameters
        ----------------
        %(figure.format)s
        **kwargs
            Passed to `matplotlib.figure.Figure`.

        See also
        --------
        Figure.format
        ultraplot.ui.figure
        ultraplot.ui.subplots
        matplotlib.figure.Figure
        """
        # Add figure sizing settings
        # NOTE: We cannot catpure user-input 'figsize' here because it gets
        # automatically filled by the figure manager. See ui.figure().
        # NOTE: The figure size is adjusted according to these arguments by the
        # canvas preprocessor. Although in special case where both 'figwidth' and
        # 'figheight' were passes we update 'figsize' to limit side effects.
        refnum = _not_none(refnum=refnum, ref=ref, default=1)  # never None
        refaspect = _not_none(refaspect=refaspect, aspect=aspect)
        refwidth = _not_none(refwidth=refwidth, axwidth=axwidth)
        refheight = _not_none(refheight=refheight, axheight=axheight)
        figwidth = _not_none(figwidth=figwidth, width=width)
        figheight = _not_none(figheight=figheight, height=height)
        messages = []
        if journal is not None:
            jwidth, jheight = _get_journal_size(journal)
            if jwidth is not None and figwidth is not None:
                messages.append(("journal", journal, "figwidth", figwidth))
            if jheight is not None and figheight is not None:
                messages.append(("journal", journal, "figheight", figheight))
            figwidth = _not_none(jwidth, figwidth)
            figheight = _not_none(jheight, figheight)
        if figwidth is not None and refwidth is not None:
            messages.append(("figwidth", figwidth, "refwidth", refwidth))
            refwidth = None
        if figheight is not None and refheight is not None:
            messages.append(("figheight", figheight, "refheight", refheight))
            refheight = None
        if (
            figwidth is None
            and figheight is None
            and refwidth is None
            and refheight is None
        ):  # noqa: E501
            refwidth = rc["subplots.refwidth"]  # always inches
        if np.iterable(refaspect):
            refaspect = refaspect[0] / refaspect[1]
        for key1, val1, key2, val2 in messages:
            warnings._warn_ultraplot(
                f"Got conflicting figure size arguments {key1}={val1!r} and "
                f"{key2}={val2!r}. Ignoring {key2!r}."
            )
        self._refnum = refnum
        self._refaspect = refaspect
        self._refaspect_default = 1  # updated for imshow and geographic plots
        self._refwidth = units(refwidth, "in")
        self._refheight = units(refheight, "in")
        self._figwidth = figwidth = units(figwidth, "in")
        self._figheight = figheight = units(figheight, "in")

        # Add special consideration for interactive backends
        backend = _not_none(rc.backend, "")
        backend = backend.lower()
        interactive = "nbagg" in backend or "ipympl" in backend
        if not interactive:
            pass
        elif figwidth is None or figheight is None:
            figsize = rc["figure.figsize"]  # modified by ultraplot
            self._figwidth = figwidth = _not_none(figwidth, figsize[0])
            self._figheight = figheight = _not_none(figheight, figsize[1])
            self._refwidth = self._refheight = None  # critical!
            if self._warn_interactive:
                Figure._warn_interactive = False  # set class attribute
                warnings._warn_ultraplot(
                    "Auto-sized ultraplot figures are not compatible with interactive "
                    "backends like '%matplotlib widget' and '%matplotlib notebook'. "
                    f"Reverting to the figure size ({figwidth}, {figheight}). To make "
                    "auto-sized figures, please consider using the non-interactive "
                    "(default) backend. This warning message is shown the first time "
                    "you create a figure without explicitly specifying the size."
                )

        # Add space settings
        # NOTE: This is analogous to 'subplotpars' but we don't worry about
        # user mutability. Think it's perfectly fine to ask users to simply
        # pass these to uplt.figure() or uplt.subplots(). Also overriding
        # 'subplots_adjust' would be confusing since we switch to absolute
        # units and that function is heavily used outside of ultraplot.
        params = {
            "left": left,
            "right": right,
            "top": top,
            "bottom": bottom,
            "wspace": wspace,
            "hspace": hspace,
            "space": space,
            "wequal": wequal,
            "hequal": hequal,
            "equal": equal,
            "wgroup": wgroup,
            "hgroup": hgroup,
            "group": group,
            "wpad": wpad,
            "hpad": hpad,
            "pad": pad,
            "outerpad": outerpad,
            "innerpad": innerpad,
            "panelpad": panelpad,
        }
        self._gridspec_params = params  # used to initialize the gridspec
        for key, value in tuple(params.items()):
            if not isinstance(value, str) and np.iterable(value) and len(value) > 1:
                raise ValueError(
                    f"Invalid gridspec parameter {key}={value!r}. Space parameters "
                    "passed to Figure() must be scalar. For vector spaces use "
                    "GridSpec() or pass space parameters to subplots()."
                )

        # Add tight layout setting and ignore native settings
        pars = kwargs.pop("subplotpars", None)
        if pars is not None:
            warnings._warn_ultraplot(
                f"Ignoring subplotpars={pars!r}. " + self._space_message
            )
        if kwargs.pop("tight_layout", None):
            warnings._warn_ultraplot(
                "Ignoring tight_layout=True. " + self._tight_message
            )
        if kwargs.pop("constrained_layout", None):
            warnings._warn_ultraplot(
                "Ignoring constrained_layout=True. " + self._tight_message
            )
        if rc_matplotlib.get("figure.autolayout", False):
            warnings._warn_ultraplot(
                "Setting rc['figure.autolayout'] to False. " + self._tight_message
            )
        if rc_matplotlib.get("figure.constrained_layout.use", False):
            warnings._warn_ultraplot(
                "Setting rc['figure.constrained_layout.use'] to False. "
                + self._tight_message  # noqa: E501
            )
        try:
            rc_matplotlib["figure.autolayout"] = False  # this is rcParams
        except KeyError:
            pass
        try:
            rc_matplotlib["figure.constrained_layout.use"] = False  # this is rcParams
        except KeyError:
            pass
        self._tight_active = _not_none(tight, rc["subplots.tight"])

        # Translate share settings
        translate = {"labels": 1, "labs": 1, "limits": 2, "lims": 2, "all": 4}
        sharex = _not_none(sharex, share, rc["subplots.share"])
        sharey = _not_none(sharey, share, rc["subplots.share"])

        def _normalize_share(value):
            auto = isinstance(value, str) and value.lower() == "auto"
            if auto:
                return 3, True
            value = 3 if value is True else translate.get(value, value)
            if value not in range(5):
                raise ValueError(
                    f"Invalid sharing value {value!r}. " + self._share_message
                )
            return int(value), False

        sharex, sharex_auto = _normalize_share(sharex)
        sharey, sharey_auto = _normalize_share(sharey)
        self._sharex = int(sharex)
        self._sharey = int(sharey)
        self._sharex_auto = bool(sharex_auto)
        self._sharey_auto = bool(sharey_auto)
        self._share_incompat_warned = False

        # Translate span and align settings
        spanx = _not_none(
            spanx, span, False if not sharex else None, rc["subplots.span"]
        )  # noqa: E501
        spany = _not_none(
            spany, span, False if not sharey else None, rc["subplots.span"]
        )  # noqa: E501
        if spanx and (alignx or align):  # only warn when explicitly requested
            warnings._warn_ultraplot('"alignx" has no effect when spanx=True.')
        if spany and (aligny or align):
            warnings._warn_ultraplot('"aligny" has no effect when spany=True.')
        self._spanx = bool(spanx)
        self._spany = bool(spany)
        alignx = _not_none(alignx, align, rc["subplots.align"])
        aligny = _not_none(aligny, align, rc["subplots.align"])
        self._alignx = bool(alignx)
        self._aligny = bool(aligny)

        # Initialize the figure
        # NOTE: Super labels are stored inside {axes: text} dictionaries
        self._gridspec = None
        self._panel_dict = {"left": [], "right": [], "bottom": [], "top": []}
        self._subplot_dict = {}  # subplots indexed by number
        self._subplot_counter = 0  # avoid add_subplot() returning an existing subplot
        self._is_adjusting = False
        self._is_authorized = False
        self._layout_initialized = False
        self._layout_dirty = True
        self._skip_autolayout = False
        self._includepanels = None
        self._render_context = {}
        rc_kw, rc_mode = _pop_rc(kwargs)
        kw_format = _pop_params(kwargs, self._format_signature)
        if figwidth is not None and figheight is not None:
            kwargs["figsize"] = (figwidth, figheight)
        with self._context_authorized():
            super().__init__(**kwargs)

        # Super labels. We don't rely on private matplotlib _suptitle attribute and
        # _align_axis_labels supports arbitrary spanning labels for subplot groups.
        # NOTE: Don't use 'anchor' rotation mode otherwise switching to horizontal
        # left and right super labels causes overlap. Current method is fine.
        self._suptitle = self.text(0.5, 0.95, "", ha="center", va="bottom")
        self._supxlabel_dict = {}  # an axes: label mapping
        self._supylabel_dict = {}  # an axes: label mapping
        self._suplabel_dict = {"left": {}, "right": {}, "bottom": {}, "top": {}}
        self._share_label_groups = {"x": {}, "y": {}}  # explicit label-sharing groups
        self._suptitle_pad = rc["suptitle.pad"]
        d = self._suplabel_props = {}  # store the super label props
        d["left"] = {"va": "center", "ha": "right"}
        d["right"] = {"va": "center", "ha": "left"}
        d["bottom"] = {"va": "top", "ha": "center"}
        d["top"] = {"va": "bottom", "ha": "center"}
        d = self._suplabel_pad = {}  # store the super label padding
        d["left"] = rc["leftlabel.pad"]
        d["right"] = rc["rightlabel.pad"]
        d["bottom"] = rc["bottomlabel.pad"]
        d["top"] = rc["toplabel.pad"]

        # Format figure
        # NOTE: This ignores user-input rc_mode.
        self.format(rc_kw=rc_kw, rc_mode=1, skip_axes=True, **kw_format)

    @override
    def draw(self, renderer):
        self._snap_axes_to_pixel_grid(renderer)
        # implement the tick sharing here
        # should be shareable --> either all cartesian or all geographic
        # but no mixing (panels can be mixed)
        # check which ticks are on for x or y and push the labels to the
        # outer most on a given column or row.
        # we can use get_border_axes for the outermost plots and then collect their outermost panels that are not colorbars
        self._share_ticklabels(axis="x")
        self._share_ticklabels(axis="y")
        self._apply_share_label_groups()
        super().draw(renderer)

    @override
    def draw_without_rendering(self):
        """
        Draw without output while preserving figure dpi state.
        """
        dpi = self.dpi
        try:
            return super().draw_without_rendering()
        finally:
            if self.dpi != dpi:
                mfigure.Figure.set_dpi(self, dpi)

    def _is_auto_share_mode(self, which: str) -> bool:
        """Return whether a given axis uses auto-share mode."""
        if which not in ("x", "y"):
            return False
        return bool(getattr(self, f"_share{which}_auto", False))

    def _axis_unit_signature(self, ax, which: str):
        """Return a lightweight signature for axis unit/converter compatibility."""
        axis_obj = getattr(ax, f"{which}axis", None)
        if axis_obj is None:
            return None
        if hasattr(axis_obj, "get_converter"):
            converter = axis_obj.get_converter()
        else:
            converter = getattr(axis_obj, "converter", None)
        units = getattr(axis_obj, "units", None)
        if hasattr(axis_obj, "get_units"):
            units = axis_obj.get_units()
        if converter is None and units is None:
            return None
        if isinstance(units, (str, bytes)):
            unit_tag = units
        elif units is not None:
            unit_tag = type(units).__name__
        else:
            unit_tag = None
        converter_tag = type(converter).__name__ if converter is not None else None
        return (converter_tag, unit_tag)

    def _share_axes_compatible(self, ref, other, which: str):
        """Check whether two axes are compatible for sharing along one axis."""
        if ref is None or other is None:
            return False, "missing reference axis"
        if ref is other:
            return True, None
        if which not in ("x", "y"):
            return True, None

        # External container axes should only share with the same external class.
        ref_external = hasattr(ref, "has_external_axes") and ref.has_external_axes()
        other_external = (
            hasattr(other, "has_external_axes") and other.has_external_axes()
        )
        if ref_external or other_external:
            if not (ref_external and other_external):
                return False, "external and non-external axes cannot be shared"
            ref_ext = ref.get_external_axes()
            other_ext = other.get_external_axes()
            if type(ref_ext) is not type(other_ext):
                return False, "different external projection classes"

        # GeoAxes are only share-compatible with same rectilinear projection family.
        ref_geo = isinstance(ref, paxes.GeoAxes)
        other_geo = isinstance(other, paxes.GeoAxes)
        if ref_geo or other_geo:
            if not (ref_geo and other_geo):
                return False, "geo and non-geo axes cannot be shared"
            if not ref._is_rectilinear() or not other._is_rectilinear():
                return False, "non-rectilinear GeoAxes cannot be shared"
            if type(getattr(ref, "projection", None)) is not type(
                getattr(other, "projection", None)
            ):
                return False, "different Geo projection classes"

        # Polar and non-polar should not share.
        ref_polar = isinstance(ref, paxes.PolarAxes)
        other_polar = isinstance(other, paxes.PolarAxes)
        if ref_polar != other_polar:
            return False, "polar and non-polar axes cannot be shared"

        # Non-geo external axes are generally Cartesian-like in UltraPlot.
        if not ref_geo and not other_geo and not (ref_external or other_external):
            if not (
                isinstance(ref, paxes.CartesianAxes)
                and isinstance(other, paxes.CartesianAxes)
            ):
                return False, "different axis families"

        # Scale compatibility along the active axis.
        get_scale_ref = getattr(ref, f"get_{which}scale", None)
        get_scale_other = getattr(other, f"get_{which}scale", None)
        if callable(get_scale_ref) and callable(get_scale_other):
            if get_scale_ref() != get_scale_other():
                return False, "different axis scales"

        # Units/converters must match if both are established.
        uref = self._axis_unit_signature(ref, which)
        uother = self._axis_unit_signature(other, which)
        if uref != uother and (uref is not None or uother is not None):
            return False, "different axis unit domains"

        return True, None

    def _warn_incompatible_share(self, which: str, ref, other, reason: str) -> None:
        """Warn once per figure for explicit incompatible sharing."""
        if self._is_auto_share_mode(which):
            return
        if bool(self._share_incompat_warned):
            return
        self._share_incompat_warned = True
        warnings._warn_ultraplot(
            f"Skipping incompatible {which}-axis sharing for {type(ref).__name__} and {type(other).__name__}: {reason}."
        )

    def _partition_share_axes(self, axes, which: str):
        """Partition a candidate share list into compatible sub-groups."""
        groups = []
        for ax in axes:
            if ax is None:
                continue
            placed = False
            first_mismatch = None
            for group in groups:
                ok, reason = self._share_axes_compatible(group[0], ax, which)
                if ok:
                    group.append(ax)
                    placed = True
                    break
                if first_mismatch is None:
                    first_mismatch = (group[0], reason)
            if not placed:
                groups.append([ax])
                if first_mismatch is not None:
                    ref, reason = first_mismatch
                    self._warn_incompatible_share(which, ref, ax, reason)
        return groups

    def _iter_shared_groups(self, which: str, *, panels: bool = True):
        """Yield unique shared groups for one axis direction."""
        if which not in ("x", "y"):
            return
        get_grouper = f"get_shared_{which}_axes"
        seen = set()
        for ax in self._iter_axes(hidden=False, children=False, panels=panels):
            get_shared = getattr(ax, get_grouper, None)
            if not callable(get_shared):
                continue
            siblings = list(get_shared().get_siblings(ax))
            if len(siblings) < 2:
                continue
            key = frozenset(map(id, siblings))
            if key in seen:
                continue
            seen.add(key)
            yield siblings

    def _join_shared_group(self, which: str, ref, other) -> None:
        """Join an axis to a shared group and copy the shared axis state."""
        ref._shared_axes[which].join(ref, other)
        axis = getattr(other, f"{which}axis")
        ref_axis = getattr(ref, f"{which}axis")
        setattr(other, f"_share{which}", ref)
        axis.major = ref_axis.major
        axis.minor = ref_axis.minor
        if which == "x":
            lim = ref.get_xlim()
            other.set_xlim(*lim, emit=False, auto=ref.get_autoscalex_on())
        else:
            lim = ref.get_ylim()
            other.set_ylim(*lim, emit=False, auto=ref.get_autoscaley_on())
        axis._scale = ref_axis._scale

    def _refresh_auto_share(self, which: Optional[str] = None) -> None:
        """Recompute auto-sharing groups after local axis-state changes."""
        axes = list(self._iter_axes(hidden=False, children=True, panels=True))
        targets = ("x", "y") if which is None else (which,)
        for target in targets:
            if not self._is_auto_share_mode(target):
                continue
            for ax in axes:
                if hasattr(ax, "_unshare"):
                    ax._unshare(which=target)
            for ax in self._iter_axes(hidden=False, children=False, panels=False):
                if hasattr(ax, "_apply_auto_share"):
                    ax._apply_auto_share()
            self._autoscale_shared_limits(target)

    def _autoscale_shared_limits(self, which: str) -> None:
        """Recompute shared data limits for each compatible shared-axis group."""
        if which not in ("x", "y"):
            return

        share_level = self._sharex if which == "x" else self._sharey
        if share_level <= 1:
            return

        get_auto = f"get_autoscale{which}_on"
        for siblings in self._iter_shared_groups(which, panels=True):
            for sib in siblings:
                relim = getattr(sib, "relim", None)
                if callable(relim):
                    relim()

            ref = siblings[0]
            for sib in siblings:
                auto = getattr(sib, get_auto, None)
                if callable(auto) and auto():
                    ref = sib
                    break

            autoscale_view = getattr(ref, "autoscale_view", None)
            if callable(autoscale_view):
                autoscale_view(scalex=(which == "x"), scaley=(which == "y"))

    def _snap_axes_to_pixel_grid(self, renderer) -> None:
        """
        Snap visible axes bounds to the renderer pixel grid.
        """
        if not rc.find("subplots.pixelsnap", context=True):
            return

        width = getattr(renderer, "width", None)
        height = getattr(renderer, "height", None)
        if not width or not height:
            return

        width = float(width)
        height = float(height)
        if width <= 0 or height <= 0:
            return

        invw = 1.0 / width
        invh = 1.0 / height
        minw = invw
        minh = invh

        # Only snap main subplot axes. Guide/panel axes host legends/colorbars
        # that use their own fractional placement and can be over-constrained.
        for ax in self._iter_axes(hidden=False, children=False, panels=False):
            bbox = ax.get_position(original=False)
            old = np.array([bbox.x0, bbox.y0, bbox.x1, bbox.y1], dtype=float)
            new = np.array(
                [
                    round(old[0] * width) * invw,
                    round(old[1] * height) * invh,
                    round(old[2] * width) * invw,
                    round(old[3] * height) * invh,
                ],
                dtype=float,
            )

            if new[2] <= new[0]:
                new[2] = new[0] + minw
            if new[3] <= new[1]:
                new[3] = new[1] + minh

            if np.allclose(new, old, rtol=0.0, atol=1e-12):
                continue
            ax.set_position(
                [new[0], new[1], new[2] - new[0], new[3] - new[1]],
                which="both",
            )

    def _share_ticklabels(self, *, axis: str) -> None:
        """
        Tick label sharing is determined at the figure level. While
        each subplot controls the limits, we are dealing with the ticklabels
        here as the complexity is easier to deal with.
            axis: str 'x' or 'y', row or columns to update
        """
        if not self.stale:
            return

        outer_axes = self._get_border_axes()
        sides = ("top", "bottom") if axis == "x" else ("left", "right")

        # Group axes by row (for x) or column (for y)
        axes = list(self._iter_axes(panels=True, hidden=False))
        groups = self._group_axes_by_axis(axes, axis)

        # Version-dependent label name mapping for reading back params
        label_keys = self._label_key_map()

        # Process each group independently
        for _, group_axes in groups.items():
            # Build baseline from MAIN axes only (exclude panels)
            baseline, skip_group = self._compute_baseline_tick_state(
                group_axes, axis, label_keys
            )
            if skip_group:
                continue

            # Apply baseline to all axes in the group (including panels)
            for axi in group_axes:
                # Respect figure border sides and panel opposite sides
                masked = self._apply_border_mask(axi, baseline, sides, outer_axes)

                # Determine sharing level for this axes
                if self._effective_share_level(axi, axis, sides) < 3:
                    continue

                # Apply to geo/cartesian appropriately
                self._set_ticklabel_state(axi, axis, masked)

        self.stale = True

    def _label_key_map(self):
        """
        Return a mapping for version-dependent label keys for Matplotlib tick params.
        """
        first_axi = next(self._iter_axes(panels=True), None)
        if first_axi is None:
            return {
                "labelleft": "labelleft",
                "labelright": "labelright",
                "labeltop": "labeltop",
                "labelbottom": "labelbottom",
            }
        return {
            name: first_axi._label_key(name)
            for name in ("labelleft", "labelright", "labeltop", "labelbottom")
        }

    def _group_axes_by_axis(self, axes, axis: str):
        """
        Group axes by row (x) or column (y). Panels included; invalid subplotspec skipped.
        """
        from collections import defaultdict

        def _group_key(ax):
            ss = ax.get_subplotspec()
            return ss.rowspan.start if axis == "x" else ss.colspan.start

        groups = defaultdict(list)
        for axi in axes:
            try:
                key = _group_key(axi)
            except Exception:
                # If we can't get a subplotspec, skip grouping for this axes
                continue
            groups[key].append(axi)
        return groups

    def _compute_baseline_tick_state(self, group_axes, axis: str, label_keys):
        """
        Build a baseline ticklabel visibility dict from MAIN axes (panels excluded).
        Returns (baseline_dict, skip_group: bool). Emits warnings when encountering
        unsupported or mixed subplot types.
        """
        baseline = {}
        subplot_types = set()
        unsupported_found = False
        sides = ("top", "bottom") if axis == "x" else ("left", "right")

        for axi in group_axes:
            # Only main axes "vote"
            if getattr(axi, "_panel_side", None):
                continue

            # Non-rectilinear GeoAxes should keep independent gridliner labels.
            if isinstance(axi, paxes.GeoAxes) and not axi._is_rectilinear():
                return {}, True

            # Supported axes types
            if not isinstance(
                axi, (paxes.CartesianAxes, paxes._CartopyAxes, paxes._BasemapAxes)
            ):
                warnings._warn_ultraplot(
                    f"Tick label sharing not implemented for {type(axi)} subplots."
                )
                unsupported_found = True
                break

            subplot_types.add(type(axi))

            # Collect label visibility state
            if isinstance(axi, paxes.CartesianAxes):
                params = getattr(axi, f"{axis}axis").get_tick_params()
                for side in sides:
                    key = label_keys[f"label{side}"]
                    if params.get(key):
                        baseline[key] = params[key]
            elif isinstance(axi, paxes.GeoAxes):
                for side in sides:
                    key = f"label{side}"
                    if axi._is_ticklabel_on(key):
                        baseline[key] = axi._is_ticklabel_on(key)

        if unsupported_found:
            return {}, True

        # We cannot mix types (yet) within a group
        if len(subplot_types) > 1:
            warnings._warn_ultraplot(
                "Tick label sharing not implemented for mixed subplot types."
            )
            return {}, True

        return baseline, False

    def _apply_border_mask(
        self, axi, baseline: dict, sides: tuple[str, str], outer_axes
    ):
        """
        Apply figure-border constraints and panel opposite-side suppression.
        Keeps label key mapping per-axis for cartesian.
        """
        from .axes.cartesian import OPPOSITE_SIDE

        masked = baseline.copy()
        for side in sides:
            label = f"label{side}"
            if isinstance(axi, paxes.CartesianAxes):
                # Use per-axis version-mapped key when writing
                label = axi._label_key(label)

            # Only keep labels on true figure borders
            if axi not in outer_axes[side]:
                masked[label] = False

            # For panels, suppress labels on their opposite side
            if (
                getattr(axi, "_panel_side", None)
                and OPPOSITE_SIDE[axi._panel_side] == side
            ):
                masked[label] = False

        return masked

    def _effective_share_level(self, axi, axis: str, sides: tuple[str, str]) -> int:
        """
        Compute the effective share level for an axes, considering panel groups and
        adjacent panels. Fixes the original variable leak by checking any relevant side.
        """
        level = getattr(self, f"_share{axis}")
        # If figure-level sharing is disabled (0/False), don't promote due to panels
        if not level or (isinstance(level, (int, float)) and level < 1):
            return level

        # Panel group-level sharing
        if getattr(axi, f"_panel_share{axis}_group", None):
            return 3

        # Panel member sharing
        if getattr(axi, "_panel_side", None) and getattr(axi, f"_share{axis}", None):
            return 3

        # Adjacent panels on any relevant side
        panel_dict = getattr(axi, "_panel_dict", {})
        for side in sides:
            side_panels = panel_dict.get(side) or []
            if side_panels and getattr(side_panels[0], f"_share{axis}", False):
                return 3

        return level

    def _set_ticklabel_state(self, axi, axis: str, state: dict):
        """Apply the computed ticklabel state to cartesian or geo axes."""
        if state:
            # Normalize "x"/"y" values to booleans for both Geo and Cartesian axes
            cleaned = {k: (True if v in ("x", "y") else v) for k, v in state.items()}
            if isinstance(axi, paxes.GeoAxes):
                axi._toggle_gridliner_labels(**cleaned)
            else:
                getattr(axi, f"{axis}axis").set_tick_params(**cleaned)

    def _context_adjusting(self, cache=True):
        """
        Prevent re-running auto layout steps due to draws triggered by figure
        resizes. Otherwise can get infinite loops.
        """
        kw = {"_is_adjusting": True}
        if not cache:
            kw["_cachedRenderer"] = None  # temporarily ignore it
        return context._state_context(self, **kw)

    def _context_authorized(self):
        """
        Prevent warning message when internally calling no-op methods. Otherwise
        emit warnings to help new users.
        """
        return context._state_context(self, _is_authorized=True)

    @staticmethod
    def _parse_backend(backend=None, basemap=None):
        """
        Handle deprecation of basemap and cartopy package.
        """
        # Basemap is currently being developed again so are removing the deprecation warning
        if backend == "basemap":
            warnings._warn_ultraplot(
                f"{backend=} will be deprecated in next major release (v2.0). See https://github.com/Ultraplot/ultraplot/pull/243"
            )
        return backend

    def _parse_proj(
        self,
        proj=None,
        projection=None,
        proj_kw=None,
        projection_kw=None,
        backend=None,
        basemap=None,
        **kwargs,
    ):
        """
        Translate the user-input projection into a registered matplotlib
        axes class. Input projection can be a string, `matplotlib.axes.Axes`,
        `cartopy.crs.Projection`, or `mpl_toolkits.basemap.Basemap`.
        """
        # Parse arguments
        proj = _not_none(proj=proj, projection=projection, default="cartesian")
        proj_kw = _not_none(proj_kw=proj_kw, projection_kw=projection_kw, default={})
        backend = self._parse_backend(backend, basemap)
        if isinstance(proj, str):
            proj = proj.lower()
        if isinstance(self, paxes.Axes):
            proj = self._name
        elif isinstance(self, maxes.Axes):
            raise ValueError("Matplotlib axes cannot be added to ultraplot figures.")

        # Search axes projections
        name = None

        # Handle cartopy/basemap Projection objects directly
        # These should be converted to Ultraplot GeoAxes
        if not isinstance(proj, str):
            # Check if it's a cartopy or basemap projection object
            if constructor.Projection is not object and isinstance(
                proj, constructor.Projection
            ):
                # It's a cartopy projection - use cartopy backend
                name = "ultraplot_cartopy"
                kwargs["map_projection"] = proj
            elif constructor.Basemap is not object and isinstance(
                proj, constructor.Basemap
            ):
                # It's a basemap projection
                name = "ultraplot_basemap"
                kwargs["map_projection"] = proj
            # If not recognized, leave name as None and it will pass through

        if name is None and isinstance(proj, str):
            try:
                mproj.get_projection_class("ultraplot_" + proj)
            except (KeyError, ValueError):
                pass
            else:
                name = "ultraplot_" + proj
        if name is None and isinstance(proj, str):
            # Try geographic projections first if cartopy/basemap available
            if (
                constructor.Projection is not object
                or constructor.Basemap is not object
            ):
                try:
                    proj_obj = constructor.Proj(
                        proj, backend=backend, include_axes=True, **proj_kw
                    )
                    name = "ultraplot_" + proj_obj._proj_backend
                    kwargs["map_projection"] = proj_obj
                except ValueError:
                    # Not a geographic projection, will try matplotlib registry below
                    pass

            # If not geographic, check if registered globally in Matplotlib (e.g., 'ternary', 'polar', '3d')
            if name is None and proj in mproj.get_projection_names():
                name = proj

        # Helpful error message if still not found
        if name is None and isinstance(proj, str):
            raise ValueError(
                f"Invalid projection name {proj!r}. If you are trying to generate a "
                "GeoAxes with a cartopy.crs.Projection or mpl_toolkits.basemap.Basemap "
                "then cartopy or basemap must be installed. Otherwise the known axes "
                f"subclasses are:\n{paxes._cls_table}"
            )

        # Only set projection if we found a named projection
        # Otherwise preserve the original projection (e.g., cartopy Projection objects)
        if name is not None:
            kwargs["projection"] = name
        # If name is None and proj is not a string, it means we have a non-string
        # projection (e.g., cartopy.crs.Projection object) that should be passed through
        # The original projection kwarg is already in kwargs, so no action needed
        return kwargs

    def _get_align_axes(self, side):
        """
        Return the main axes along the edge of the figure.

        For 'left'/'right': select one extreme axis per row (leftmost/rightmost).
        For 'top'/'bottom': select one extreme axis per column (topmost/bottommost).
        """
        axs = tuple(self._subplot_dict.values())
        if not axs:
            return []
        if side not in ("left", "right", "top", "bottom"):
            raise ValueError(f"Invalid side {side!r}.")
        from .utils import _get_subplot_layout

        grid = _get_subplot_layout(
            self._gridspec, list(self._iter_axes(panels=False, hidden=False))
        )[0]
        # From the @side we find the first non-zero
        # entry in each row or column and collect the axes
        if side == "left":
            options = grid
        elif side == "right":
            options = grid[:, ::-1]
        elif side == "top":
            options = grid.T
        else:  # bottom
            options = grid.T[:, ::-1]
        uids = set()
        for option in options:
            idx = np.where(option != None)[0]
            if idx.size > 0:
                first = idx.min()
                number = option[first].number
                uids.add(number)
        axs = []
        # Collect correct axes
        for axi in self._iter_axes():
            if axi.number in uids and axi not in axs:
                axs.append(axi)
        return axs

    def _get_border_axes(
        self, *, same_type=False, force_recalculate=False
    ) -> dict[str, list[paxes.Axes]]:
        """
        Identifies axes located on the outer boundaries of the GridSpec layout.

        Returns a dictionary with keys 'top', 'bottom', 'left', 'right', each
        containing a list of axes on that border.
        """

        if hasattr(self, "_cached_border_axes") and not force_recalculate:
            return self._cached_border_axes

        border_axes = dict(
            left=[],
            right=[],
            top=[],
            bottom=[],
        )
        gs = self.gridspec
        if gs is None:
            return border_axes

        all_axes = []
        for axi in self._iter_axes(panels=True):
            all_axes.append(axi)

        # Handle empty cases
        nrows, ncols = gs.nrows, gs.ncols
        if nrows == 0 or ncols == 0 or not all_axes:
            return border_axes
        # We cannot use the gridspec on the axes as it
        # is modified when a colorbar is added. Use self.gridspec
        # as a reference.
        # Reconstruct the grid based on axis locations. Note that
        # spanning axes will fit into one of the boxes. Check
        # this with unittest to see how empty axes are handles

        gs = self.axes[0].get_gridspec()
        shape = (gs.nrows_total, gs.ncols_total)
        grid = np.zeros(shape, dtype=object)
        grid.fill(None)
        grid_axis_type = np.zeros(shape, dtype=int)
        seen_axis_type = dict()
        ax_type_mapping = dict()
        for axi in self._iter_axes(panels=True, hidden=True):
            gs = axi.get_subplotspec()
            x, y = np.unravel_index(gs.num1, shape)
            span = gs._get_rows_columns()

            xleft, xright, yleft, yright = span
            xspan = xright - xleft + 1
            yspan = yright - yleft + 1
            number = axi.number
            axis_type = getattr(axi, "_ultraplot_axis_type", None)
            if axis_type is None:
                axis_type = type(axi)
                if isinstance(axi, (paxes.GeoAxes)):
                    axis_type = axi.projection
            if axis_type not in seen_axis_type:
                seen_axis_type[axis_type] = len(seen_axis_type)
            type_number = seen_axis_type[axis_type]
            ax_type_mapping[axi] = type_number
            if axi.get_visible():
                grid[x : x + xspan, y : y + yspan] = axi
            grid_axis_type[x : x + xspan, y : y + yspan] = type_number
        # We check for all axes is they are a border or not
        # Note we could also write the crawler in a way where
        # it find the borders by moving around in the grid, without spawning on each axis point. We may change
        # this in the future
        for axi in all_axes:
            axis_type = ax_type_mapping[axi]
            number = axi.number
            if axi.number is None:
                number = -axi._panel_parent.number
            crawler = _Crawler(
                ax=axi,
                grid=grid,
                target=number,
                axis_type=axis_type,
                grid_axis_type=grid_axis_type,
            )
            for direction, is_border in crawler.find_edges():
                if is_border and axi not in border_axes[direction]:
                    border_axes[direction].append(axi)
        self._cached_border_axes = border_axes
        return border_axes

    def _get_align_coord(self, side, axs, align="center", includepanels=False):
        """
        Return the figure coordinate for positioning spanning axis labels or super titles.

        Parameters
        ----------
        side : str
            Side of the figure ('top', 'bottom', 'left', 'right').
        axs : list
            List of axes to align across.
        align : str, default 'center'
            Horizontal alignment for x-axis positioning: 'left', 'center', or 'right'.
            For y-axis positioning, always centers regardless of this parameter.
        includepanels : bool, default False
            Whether to include panel axes in the alignment calculation.
        """
        # Get position in figure relative coordinates
        if not all(isinstance(ax, paxes.Axes) for ax in axs):
            raise RuntimeError("Axes must be ultraplot axes.")
        if not all(isinstance(ax, maxes.SubplotBase) for ax in axs):
            raise RuntimeError("Axes must be subplots.")
        s = "y" if side in ("left", "right") else "x"
        axs = [ax._panel_parent or ax for ax in axs]  # deflect to main axes
        if includepanels:  # include panel short axes?
            axs = [_ for ax in axs for _ in ax._iter_axes(panels=True, children=False)]
        ranges = np.array([ax._range_subplotspec(s) for ax in axs])
        min_, max_ = ranges[:, 0].min(), ranges[:, 1].max()
        ax_lo = axs[np.where(ranges[:, 0] == min_)[0][0]]
        ax_hi = axs[np.where(ranges[:, 1] == max_)[0][0]]
        box_lo = ax_lo.get_subplotspec().get_position(self)
        box_hi = ax_hi.get_subplotspec().get_position(self)
        if s == "x":
            # Calculate horizontal position based on alignment preference
            if align == "left":
                pos = box_lo.x0
            elif align == "right":
                pos = box_hi.x1
            else:  # 'center'
                pos = 0.5 * (box_lo.x0 + box_hi.x1)
        else:
            # For vertical positioning, always center between axes
            pos = 0.5 * (box_lo.y1 + box_hi.y0)  # 'lo' is actually on top of figure
        ax = axs[(np.argmin(ranges[:, 0]) + np.argmax(ranges[:, 1])) // 2]
        ax = ax._panel_parent or ax  # always use main subplot for spanning labels
        return pos, ax

    def _get_offset_coord(self, side, axs, renderer, *, pad=None, extra=None):
        """
        Return the figure coordinate for offsetting super labels and super titles.
        """
        s = "x" if side in ("left", "right") else "y"
        cs = []
        objs = tuple(
            _
            for ax in axs
            for _ in ax._iter_axes(panels=True, children=True, hidden=True)
        )  # noqa: E501
        objs = objs + (extra or ())  # e.g. top super labels
        for obj in objs:
            bbox = obj.get_tightbbox(renderer)  # cannot use cached bbox
            attr = s + "max" if side in ("top", "right") else s + "min"
            c = getattr(bbox, attr)
            c = (c, 0) if side in ("left", "right") else (0, c)
            c = self.transFigure.inverted().transform(c)
            c = c[0] if side in ("left", "right") else c[1]
            cs.append(c)
        width, height = self.get_size_inches()
        if pad is None:
            pad = self._suplabel_pad[side] / 72
            pad = pad / width if side in ("left", "right") else pad / height
        return min(cs) - pad if side in ("left", "bottom") else max(cs) + pad

    def _get_renderer(self):
        """
        Get a renderer at all costs. See matplotlib's tight_layout.py.
        """
        if hasattr(self, "_cached_render"):
            renderer = self._cachedRenderer
        else:
            canvas = self.canvas
            if canvas and hasattr(canvas, "get_renderer"):
                renderer = canvas.get_renderer()
            else:
                from matplotlib.backends.backend_agg import FigureCanvasAgg

                canvas = FigureCanvasAgg(self)
                renderer = canvas.get_renderer()
        return renderer

    @_clear_border_cache
    def _add_axes_panel(
        self,
        ax: "paxes.Axes",
        side: Optional[str] = None,
        span: Optional[Union[int, Tuple[int, int]]] = None,
        row: Optional[int] = None,
        col: Optional[int] = None,
        rows: Optional[Union[int, Tuple[int, int]]] = None,
        cols: Optional[Union[int, Tuple[int, int]]] = None,
        **kwargs,
    ) -> "paxes.Axes":
        """
        Add an axes panel.
        """
        # Interpret args
        # NOTE: Axis sharing not implemented for figure panels, 99% of the
        # time this is just used as construct for adding global colorbars and
        # legends, really not worth implementing axis sharing
        ax = ax._altx_parent or ax
        ax = ax._alty_parent or ax
        if not isinstance(ax, paxes.Axes):
            raise RuntimeError("Cannot add panels to non-ultraplot axes.")
        if not isinstance(ax, maxes.SubplotBase):
            raise RuntimeError("Cannot add panels to non-subplot axes.")
        orig = ax._panel_side
        if orig is None:
            pass
        elif side is None or side == orig:
            ax, side = ax._panel_parent, orig
        else:
            raise RuntimeError(f"Cannot add {side!r} panel to existing {orig!r} panel.")
        side = _translate_loc(side, "panel", default=_not_none(orig, "right"))

        # Add and setup the panel accounting for index changes
        # NOTE: Always put tick labels on the 'outside' and permit arbitrary
        # keyword arguments passed from the user.
        gs = self.gridspec
        if not gs:
            raise RuntimeError("The gridspec must be active.")
        kw = _pop_params(kwargs, gs._insert_panel_slot)

        # Validate and determine span override from span/row/col/rows/cols parameters
        span_override = None
        if side in ("left", "right"):
            # Vertical panels: should use rows parameter, not cols
            if _not_none(cols, col) is not None and _not_none(rows, row) is None:
                raise ValueError(
                    f"For {side!r} panels (vertical), use 'rows=' or 'row=' "
                    "to specify span, not 'cols=' or 'col='."
                )
            if span is not None and _not_none(rows, row) is None:
                warnings._warn_ultraplot(
                    f"For {side!r} panels (vertical), prefer 'rows=' over 'span=' "
                    "for clarity. Using 'span' as rows."
                )
            span_override = _not_none(rows, row, span)
        else:
            # Horizontal panels: should use cols parameter, not rows
            if _not_none(rows, row) is not None and _not_none(cols, col, span) is None:
                raise ValueError(
                    f"For {side!r} panels (horizontal), use 'cols=' or 'span=' "
                    "to specify span, not 'rows=' or 'row='."
                )
            span_override = _not_none(cols, col, span)

        # Pass span_override to gridspec if provided
        if span_override is not None:
            kw["span_override"] = span_override

        ss, share = gs._insert_panel_slot(side, ax, **kw)
        # Guard: GeoAxes with non-rectilinear projections cannot share with panels
        if isinstance(ax, paxes.GeoAxes) and not ax._is_rectilinear():
            if share:
                warnings._warn_ultraplot(
                    "Panel sharing disabled for non-rectilinear GeoAxes projections."
                )
            share = False
        kwargs["autoshare"] = False
        kwargs.setdefault("number", False)  # power users might number panels
        pax = self.add_subplot(ss, **kwargs)
        pax._panel_side = side
        pax._panel_share = share
        pax._panel_parent = ax
        ax._panel_dict[side].append(pax)
        ax._apply_auto_share()
        axis = pax.yaxis if side in ("left", "right") else pax.xaxis
        getattr(axis, "tick_" + side)()  # set tick and tick label position
        axis.set_label_position(side)  # set label position
        # Sync limits and formatters with parent when sharing to ensure consistent ticks
        # Copy limits for the shared axis
        # Note: for non-geo axes this is handled by auto sharing
        if share and isinstance(ax, paxes.GeoAxes):
            # Align with backend: for GeoAxes, use lon/lat degree formatters on panels.
            # Otherwise, copy the parent's axis formatters.
            fmt_key = "deglat" if side in ("left", "right") else "deglon"
            axis.set_major_formatter(constructor.Formatter(fmt_key))
            # Update limits
            axis._set_lim(
                *getattr(ax, f"get_{'y' if side in ('left','right') else 'x'}lim")(),
                auto=True,
            )
        # Push main axes tick labels to the outside relative to the added panel
        # Skip this for filled panels (colorbars/legends)
        if not kw.get("filled", False) and share:
            if isinstance(ax, paxes.GeoAxes):
                if side == "top":
                    ax._toggle_gridliner_labels(labeltop=False)
                elif side == "bottom":
                    ax._toggle_gridliner_labels(labelbottom=False)
                elif side == "left":
                    ax._toggle_gridliner_labels(labelleft=False)
                elif side == "right":
                    ax._toggle_gridliner_labels(labelright=False)
            else:
                if side == "top":
                    ax.xaxis.set_tick_params(**{ax._label_key("labeltop"): False})
                elif side == "bottom":
                    ax.xaxis.set_tick_params(**{ax._label_key("labelbottom"): False})
                elif side == "left":
                    ax.yaxis.set_tick_params(**{ax._label_key("labelleft"): False})
                elif side == "right":
                    ax.yaxis.set_tick_params(**{ax._label_key("labelright"): False})

        # Panel labels: prefer outside only for non-sharing top/right; otherwise keep off
        if side == "top":
            if not share:
                pax.xaxis.set_tick_params(
                    **{
                        pax._label_key("labeltop"): True,
                        pax._label_key("labelbottom"): False,
                    }
                )
            else:
                on = ax.xaxis.get_tick_params()[ax._label_key("labeltop")]
                pax.xaxis.set_tick_params(**{pax._label_key("labeltop"): on})
                ax.yaxis.set_tick_params(labeltop=False)
        elif side == "right":
            if not share:
                pax.yaxis.set_tick_params(
                    **{
                        pax._label_key("labelright"): True,
                        pax._label_key("labelleft"): False,
                    }
                )
            else:
                on = ax.yaxis.get_tick_params()[ax._label_key("labelright")]
                pax.yaxis.set_tick_params(**{pax._label_key("labelright"): on})
                ax.yaxis.set_tick_params(**{ax._label_key("labelright"): False})

        return pax

    @_clear_border_cache
    def _add_figure_panel(
        self,
        side: Optional[str] = None,
        span: Optional[Union[int, Tuple[int, int]]] = None,
        row: Optional[int] = None,
        col: Optional[int] = None,
        rows: Optional[Union[int, Tuple[int, int]]] = None,
        cols: Optional[Union[int, Tuple[int, int]]] = None,
        **kwargs,
    ) -> "paxes.Axes":
        """
        Add a figure panel.
        """
        self._layout_dirty = True
        # Interpret args and enforce sensible keyword args
        side = _translate_loc(side, "panel", default="right")
        if side in ("left", "right"):
            for key, value in (("col", col), ("cols", cols)):
                if value is not None:
                    raise ValueError(f"Invalid keyword {key!r} for {side!r} panel.")
            span = _not_none(span=span, row=row, rows=rows)
        else:
            for key, value in (("row", row), ("rows", rows)):
                if value is not None:
                    raise ValueError(f"Invalid keyword {key!r} for {side!r} panel.")
            span = _not_none(span=span, col=col, cols=cols)

        # Add and setup panel
        # NOTE: This is only called internally by colorbar and legend so
        # do not need to pass aribtrary axes keyword arguments.
        gs = self.gridspec
        if not gs:
            raise RuntimeError("The gridspec must be active.")
        ss, _ = gs._insert_panel_slot(side, span, filled=True, **kwargs)
        pax = self.add_subplot(ss, autoshare=False, number=False)
        plist = self._panel_dict[side]
        plist.append(pax)
        pax._panel_side = side
        pax._panel_share = False
        pax._panel_parent = None
        return pax

    @_clear_border_cache
    def _add_subplot(self, *args, **kwargs):
        """
        The driver function for adding single subplots.
        """
        self._layout_dirty = True
        # Parse arguments
        kwargs = self._parse_proj(**kwargs)

        args = args or (1, 1, 1)
        gs = self.gridspec

        # Integer arg
        if len(args) == 1 and isinstance(args[0], Integral):
            if not 111 <= args[0] <= 999:
                raise ValueError(f"Input {args[0]} must fall between 111 and 999.")
            args = tuple(map(int, str(args[0])))

        # Subplot spec
        if len(args) == 1 and isinstance(
            args[0], (maxes.SubplotBase, mgridspec.SubplotSpec)
        ):
            ss = args[0]
            if isinstance(ss, maxes.SubplotBase):
                ss = ss.get_subplotspec()
            if gs is None:
                gs = ss.get_topmost_subplotspec().get_gridspec()
            if not isinstance(gs, pgridspec.GridSpec):
                raise ValueError(
                    "Input subplotspec must be derived from a ultraplot.GridSpec."
                )
            if ss.get_topmost_subplotspec().get_gridspec() is not gs:
                raise ValueError(
                    "Input subplotspec must be derived from the active figure gridspec."
                )

        # Row and column spec
        # TODO: How to pass spacing parameters to gridspec? Consider overriding
        # subplots adjust? Or require using gridspec manually?
        elif (
            len(args) == 3
            and all(isinstance(arg, Integral) for arg in args[:2])
            and all(isinstance(arg, Integral) for arg in np.atleast_1d(args[2]))
        ):
            nrows, ncols, num = args
            i, j = np.resize(num, 2)
            if gs is None:
                gs = pgridspec.GridSpec(nrows, ncols)
            orows, ocols = gs.get_geometry()
            if orows % nrows:
                raise ValueError(
                    f"The input number of rows {nrows} does not divide the "
                    f"figure gridspec number of rows {orows}."
                )
            if ocols % ncols:
                raise ValueError(
                    f"The input number of columns {ncols} does not divide the "
                    f"figure gridspec number of columns {ocols}."
                )
            if any(_ < 1 or _ > nrows * ncols for _ in (i, j)):
                raise ValueError(
                    "The input subplot indices must fall between "
                    f"1 and {nrows * ncols}. Instead got {i} and {j}."
                )
            rowfact, colfact = orows // nrows, ocols // ncols
            irow, icol = divmod(i - 1, ncols)  # convert to zero-based
            jrow, jcol = divmod(j - 1, ncols)
            irow, icol = irow * rowfact, icol * colfact
            jrow, jcol = (jrow + 1) * rowfact - 1, (jcol + 1) * colfact - 1
            ss = gs[irow : jrow + 1, icol : jcol + 1]

        # Otherwise
        else:
            raise ValueError(f"Invalid add_subplot positional arguments {args!r}.")

        # Add the subplot
        # NOTE: Pass subplotspec as keyword arg for mpl >= 3.4 workaround
        # NOTE: Must assign unique label to each subplot or else subsequent calls
        # to add_subplot() in mpl < 3.4 may return an already-drawn subplot in the
        # wrong location due to gridspec override. Is against OO package design.
        self.gridspec = gs  # trigger layout adjustment
        self._subplot_counter += 1  # unique label for each subplot
        kwargs.setdefault("label", f"subplot_{self._subplot_counter}")
        kwargs.setdefault("number", 1 + max(self._subplot_dict, default=0))
        kwargs.pop("refwidth", None)  # TODO: remove this

        # Use container approach for external projections to make them ultraplot-compatible
        projection_name = kwargs.get("projection")
        external_axes_class = None
        external_axes_kwargs = {}

        if projection_name and isinstance(projection_name, str):
            # Check if this is an external (non-ultraplot) projection
            # Skip external wrapping for projections that start with "ultraplot_" prefix
            # as these are already Ultraplot axes classes
            if not projection_name.startswith("ultraplot_"):
                try:
                    # Get the projection class
                    proj_class = mproj.get_projection_class(projection_name)

                    # Check if it's not a built-in ultraplot axes
                    # Only wrap if it's NOT a subclass of Ultraplot's Axes
                    if not issubclass(proj_class, paxes.Axes):
                        # Store the external axes class and original projection name
                        external_axes_class = proj_class
                        external_axes_kwargs["projection"] = projection_name

                        # Create or get the container class for this external axes type
                        from .axes.container import create_external_axes_container

                        container_name = f"_ultraplot_container_{projection_name}"

                        # Check if container is already registered
                        if container_name not in mproj.get_projection_names():
                            container_class = create_external_axes_container(
                                proj_class, projection_name=container_name
                            )
                            mproj.register_projection(container_class)

                        # Use the container projection and pass external axes info
                        kwargs["projection"] = container_name
                        kwargs["external_axes_class"] = external_axes_class
                        kwargs["external_axes_kwargs"] = external_axes_kwargs
                except (KeyError, ValueError):
                    # Projection not found, let matplotlib handle the error
                    pass

        # Remove _subplot_spec from kwargs if present to prevent it from being passed
        # to .set() or other methods that don't accept it.
        kwargs.pop("_subplot_spec", None)

        # Pass only the SubplotSpec as a positional argument
        # Don't pass _subplot_spec as a keyword argument to avoid it being
        # propagated to Axes.set() or other methods that don't accept it
        ax = super().add_subplot(ss, **kwargs)
        if ax.number:
            self._subplot_dict[ax.number] = ax
        return ax

    def _unshare_axes(self):

        for which in "xyz":
            self._toggle_axis_sharing(which=which, share=False)
        # Force setting extent
        # This is necessary to ensure that the axes are properly
        # aligned and we don't get weird scaling issues for
        #  geographic axes. This action is expensive for GeoAxes
        for ax in self.axes:
            if isinstance(ax, paxes.GeoAxes) and hasattr(ax, "set_global"):
                ax.set_global()

    def _toggle_axis_sharing(
        self,
        *,
        which="y",
        share=True,
        panels=False,
        children=False,
        hidden=False,
    ):
        """
        Share or unshare axes in the figure along a given direction.

        Parameters:
        - which: 'x', 'y', 'z', or 'view'.
        - share: int indicating the levels (see above)
        - panels: Whether to include panel axes.
        - children: Whether to include child axes.
        - hidden: Whether to include hidden axes.
        """
        if which not in ("x", "y", "z", "view"):
            warnings._warn_ultraplot(
                f"Attempting to (un)share {which=}. Options are ('x', 'y', 'z', 'view')"
            )
            return
        axes = list(self._iter_axes(hidden=hidden, children=children, panels=panels))

        if which == "x":
            self._sharex = share
        elif which == "y":
            self._sharey = share

        # Unshare first if needed
        if share == 0:
            for ax in axes:
                ax._unshare(which=which)
            return

        # Grouping logic based on GridSpec
        def get_key(ax):
            ss = ax.get_subplotspec()
            if which == "x":
                return ss.rowspan.start  # same row
            elif which == "y":
                return ss.colspan.start  # same col

        # Create groups of axes that should share
        groups = {}
        for ax in axes:
            key = get_key(ax)
            groups.setdefault(key, []).append(ax)

        # Re-join axes per compatible subgroup
        for raw_group in groups.values():
            if which in ("x", "y"):
                subgroups = self._partition_share_axes(raw_group, which)
            else:
                subgroups = [raw_group]
            for group in subgroups:
                if not group:
                    continue
                ref = group[0]
                for other in group[1:]:
                    if which in ("x", "y"):
                        self._join_shared_group(which, ref, other)
                    else:
                        ref._shared_axes[which].join(ref, other)

    def _add_subplots(
        self,
        array=None,
        nrows=1,
        ncols=1,
        order="C",
        proj=None,
        projection=None,
        proj_kw=None,
        projection_kw=None,
        backend=None,
        basemap=None,
        **kwargs,
    ):
        """
        The driver function for adding multiple subplots.
        """

        # Clunky helper function
        # TODO: Consider deprecating and asking users to use add_subplot()
        def _axes_dict(naxs, input, kw=False, default=None):
            # First build up dictionary
            if not kw:  # 'string' or {1: 'string1', (2, 3): 'string2'}
                if np.iterable(input) and not isinstance(input, (str, dict)):
                    input = {num + 1: item for num, item in enumerate(input)}
                elif not isinstance(input, dict):
                    input = {range(1, naxs + 1): input}
            else:  # {key: value} or {1: {key: value1}, (2, 3): {key: value2}}
                nested = [isinstance(_, dict) for _ in input.values()]
                if not any(nested):  # any([]) == False
                    input = {range(1, naxs + 1): input.copy()}
                elif not all(nested):
                    raise ValueError(f"Invalid input {input!r}.")
            # Unfurl keys that contain multiple axes numbers
            output = {}
            for nums, item in input.items():
                nums = np.atleast_1d(nums)
                for num in nums.flat:
                    output[num] = item.copy() if kw else item
            # Fill with default values
            for num in range(1, naxs + 1):
                if num not in output:
                    output[num] = {} if kw else default
            if output.keys() != set(range(1, naxs + 1)):
                raise ValueError(
                    f"Have {naxs} axes, but {input!r} includes props for the axes: "
                    + ", ".join(map(repr, sorted(output)))
                    + "."
                )
            return output

        # Build the subplot array
        # NOTE: Currently this may ignore user-input nrows/ncols without warning
        if order not in ("C", "F"):  # better error message
            raise ValueError(f"Invalid order={order!r}. Options are 'C' or 'F'.")
        gs = None
        if array is None or isinstance(array, mgridspec.GridSpec):
            if array is not None:
                gs, nrows, ncols = array, array.nrows, array.ncols
            array = np.arange(1, nrows * ncols + 1)[..., None]
            array = array.reshape((nrows, ncols), order=order)
        else:
            array = np.atleast_1d(array)
            array[array == None] = 0  # None or 0 both valid placeholders  # noqa: E711
            array = array.astype(int)
            if array.ndim == 1:  # interpret as single row or column
                array = array[None, :] if order == "C" else array[:, None]
            elif array.ndim != 2:
                raise ValueError(f"Expected 1D or 2D array of integers. Got {array}.")

        # Parse input format, gridspec, and projection arguments
        # NOTE: Permit figure format keywords for e.g. 'collabels' (more intuitive)
        nums = np.unique(array[array != 0])
        naxs = len(nums)
        if any(num < 0 or not isinstance(num, Integral) for num in nums.flat):
            raise ValueError(f"Expected array of positive integers. Got {array}.")
        proj = _not_none(projection=projection, proj=proj)
        proj = _axes_dict(naxs, proj, kw=False, default="cartesian")
        proj_kw = _not_none(projection_kw=projection_kw, proj_kw=proj_kw) or {}
        proj_kw = _axes_dict(naxs, proj_kw, kw=True)
        backend = self._parse_backend(backend, basemap)
        backend = _axes_dict(naxs, backend, kw=False)
        axes_kw = {
            num: {"proj": proj[num], "proj_kw": proj_kw[num], "backend": backend[num]}
            for num in proj
        }
        for key in ("gridspec_kw", "subplot_kw"):
            kw = kwargs.pop(key, None)
            if not kw:
                continue
            warnings._warn_ultraplot(
                f"{key!r} is not necessary in ultraplot. Pass the "
                "parameters as keyword arguments instead."
            )
            kwargs.update(kw or {})
        figure_kw = _pop_params(kwargs, self._format_signature)
        gridspec_kw = _pop_params(kwargs, pgridspec.GridSpec._update_params)

        # Create or update the gridspec and add subplots with subplotspecs
        # NOTE: The gridspec is added to the figure when we pass the subplotspec
        if gs is None:
            if "layout_array" not in gridspec_kw:
                gridspec_kw = {**gridspec_kw, "layout_array": array}
            gs = pgridspec.GridSpec(*array.shape, **gridspec_kw)
        else:
            gs.update(**gridspec_kw)
        axs = naxs * [None]  # list of axes
        axids = [np.where(array == i) for i in np.sort(np.unique(array)) if i > 0]
        axcols = np.array([[x.min(), x.max()] for _, x in axids])
        axrows = np.array([[y.min(), y.max()] for y, _ in axids])
        for idx in range(naxs):
            num = idx + 1
            x0, x1 = axcols[idx, 0], axcols[idx, 1]
            y0, y1 = axrows[idx, 0], axrows[idx, 1]
            ss = gs[y0 : y1 + 1, x0 : x1 + 1]
            kw = {**kwargs, **axes_kw[num], "number": num}
            axs[idx] = self.add_subplot(ss, **kw)
        self.format(skip_axes=True, **figure_kw)
        return pgridspec.SubplotGrid(axs)

    def _align_axis_label(self, x):
        """
        Align *x* and *y* axis labels in the perpendicular and parallel directions.
        """
        # NOTE: Always use 'align' if 'span' is True to get correct offset
        # NOTE: Must trigger axis sharing here so that super label alignment
        # with tight=False is valid. Kind of kludgey but oh well.
        seen = set()
        span = getattr(self, "_span" + x)
        align = getattr(self, "_align" + x)
        for ax in self._subplot_dict.values():
            if isinstance(ax, paxes.CartesianAxes):
                ax._apply_axis_sharing()  # always!
            else:
                continue
            pos = getattr(ax, x + "axis").get_label_position()
            if ax in seen or pos not in ("bottom", "left"):
                continue  # already aligned or cannot align
            axs = ax._get_span_axes(pos, panels=False)  # returns panel or main axes
            if self._has_share_label_groups(x) and any(
                self._is_share_label_group_member(axi, x) for axi in axs
            ):
                continue  # explicit label groups override default spanning
            if any(getattr(ax, "_share" + x) for ax in axs):
                continue  # nothing to align or axes have parents
            seen.update(axs)
            if span or align:
                if hasattr(self, "_align_label_groups"):
                    group = self._align_label_groups[x]
                else:
                    group = getattr(self, "_align_" + x + "label_grp", None)
                if group is not None:  # fail silently to avoid fragile API changes
                    for ax in axs[1:]:
                        group.join(axs[0], ax)  # add to grouper
            if span:
                self._update_axis_label(pos, axs)

        # Apply explicit label-sharing groups for this axis
        self._apply_share_label_groups(axis=x)

    def _register_share_label_group(self, axes, *, target, source=None):
        """
        Register an explicit label-sharing group for a subset of axes.
        """
        if not axes:
            return
        axes = list(axes)
        axes = [ax for ax in axes if ax is not None and ax.figure is self]
        if len(axes) < 2:
            return

        # Preserve order while de-duplicating
        seen = set()
        unique = []
        for ax in axes:
            ax_id = id(ax)
            if ax_id in seen:
                continue
            seen.add(ax_id)
            unique.append(ax)
        axes = unique
        if len(axes) < 2:
            return

        # Split by label side if mixed
        axes_by_side = {}
        if target == "x":
            for ax in axes:
                axes_by_side.setdefault(ax.xaxis.get_label_position(), []).append(ax)
        else:
            for ax in axes:
                axes_by_side.setdefault(ax.yaxis.get_label_position(), []).append(ax)
        if len(axes_by_side) > 1:
            for side, side_axes in axes_by_side.items():
                side_source = source if source in side_axes else None
                self._register_share_label_group_for_side(
                    side_axes, target=target, side=side, source=side_source
                )
            return

        side, side_axes = next(iter(axes_by_side.items()))
        self._register_share_label_group_for_side(
            side_axes, target=target, side=side, source=source
        )

    def _register_share_label_group_for_side(self, axes, *, target, side, source=None):
        """
        Register a single label-sharing group for a given label side.
        """
        if not axes:
            return
        axes = [ax for ax in axes if ax is not None and ax.figure is self]
        if len(axes) < 2:
            return

        # Prefer label text from the source axes if available
        label = None
        if source in axes:
            candidate = getattr(source, f"{target}axis").label
            if candidate.get_text().strip():
                label = candidate
        if label is None:
            for ax in axes:
                candidate = getattr(ax, f"{target}axis").label
                if candidate.get_text().strip():
                    label = candidate
                    break

        text = label.get_text() if label else ""
        props = None
        if label is not None:
            props = {
                "color": label.get_color(),
                "fontproperties": label.get_font_properties(),
                "rotation": label.get_rotation(),
                "rotation_mode": label.get_rotation_mode(),
                "ha": label.get_ha(),
                "va": label.get_va(),
            }

        group_key = tuple(sorted(id(ax) for ax in axes))
        groups = self._share_label_groups[target]
        group = groups.get(group_key)
        if group is None:
            groups[group_key] = {
                "axes": axes,
                "side": side,
                "text": text if text.strip() else "",
                "props": props,
            }
        else:
            group["axes"] = axes
            group["side"] = side
            if text.strip():
                group["text"] = text
                group["props"] = props

    def _is_share_label_group_member(self, ax, axis):
        """
        Return True if the axes belongs to any explicit label-sharing group.
        """
        groups = self._share_label_groups.get(axis, {})
        return any(ax in group["axes"] for group in groups.values())

    def _has_share_label_groups(self, axis):
        """
        Return True if there are any explicit label-sharing groups for an axis.
        """
        return bool(self._share_label_groups.get(axis, {}))

    def _clear_share_label_groups(self, axes=None, *, target=None):
        """
        Clear explicit label-sharing groups, optionally filtered by axes.
        """
        targets = ("x", "y") if target is None else (target,)
        for axis in targets:
            groups = self._share_label_groups.get(axis, {})
            if axes is None:
                groups.clear()
                continue
            axes_set = {ax for ax in axes if ax is not None}
            for key in list(groups):
                if any(ax in axes_set for ax in groups[key]["axes"]):
                    del groups[key]
            # Clear any existing spanning labels tied to these axes
            if axis == "x":
                for ax in axes_set:
                    if ax in self._supxlabel_dict:
                        self._supxlabel_dict[ax].set_text("")
            else:
                for ax in axes_set:
                    if ax in self._supylabel_dict:
                        self._supylabel_dict[ax].set_text("")

    def _apply_share_label_groups(self, axis=None):
        """
        Apply explicit label-sharing groups, overriding default label sharing.
        """

        def _order_axes_for_side(axs, side):
            if side in ("bottom", "top"):
                key = (
                    (lambda ax: ax._range_subplotspec("y")[1])
                    if side == "bottom"
                    else (lambda ax: ax._range_subplotspec("y")[0])
                )
                reverse = side == "bottom"
            else:
                key = (
                    (lambda ax: ax._range_subplotspec("x")[1])
                    if side == "right"
                    else (lambda ax: ax._range_subplotspec("x")[0])
                )
                reverse = side == "right"
            try:
                return sorted(axs, key=key, reverse=reverse)
            except Exception:
                return list(axs)

        axes = (axis,) if axis in ("x", "y") else ("x", "y")
        for target in axes:
            groups = self._share_label_groups.get(target, {})
            for group in groups.values():
                axs = [
                    ax for ax in group["axes"] if ax.figure is self and ax.get_visible()
                ]
                if len(axs) < 2:
                    continue

                side = group["side"]
                ordered_axs = _order_axes_for_side(axs, side)

                # Refresh label text from any axis with non-empty text
                label = None
                for ax in ordered_axs:
                    candidate = getattr(ax, f"{target}axis").label
                    if candidate.get_text().strip():
                        label = candidate
                        break
                text = group["text"]
                props = group["props"]
                if label is not None:
                    text = label.get_text()
                    props = {
                        "color": label.get_color(),
                        "fontproperties": label.get_font_properties(),
                        "rotation": label.get_rotation(),
                        "rotation_mode": label.get_rotation_mode(),
                        "ha": label.get_ha(),
                        "va": label.get_va(),
                    }
                    group["text"] = text
                    group["props"] = props

                if not text:
                    continue

                try:
                    _, ax = self._get_align_coord(
                        side, ordered_axs, includepanels=self._includepanels
                    )
                except Exception:
                    continue
                axlab = getattr(ax, f"{target}axis").label
                axlab.set_text(text)
                if props is not None:
                    axlab.set_color(props["color"])
                    axlab.set_fontproperties(props["fontproperties"])
                    axlab.set_rotation(props["rotation"])
                    axlab.set_rotation_mode(props["rotation_mode"])
                    axlab.set_ha(props["ha"])
                    axlab.set_va(props["va"])
                self._update_axis_label(side, ordered_axs)

    def _align_super_labels(self, side, renderer):
        """
        Adjust the position of super labels.
        """
        # NOTE: Ensure title is offset only here.
        for ax in self._subplot_dict.values():
            ax._apply_title_above()
        if side not in ("left", "right", "bottom", "top"):
            raise ValueError(f"Invalid side {side!r}.")
        labs = self._suplabel_dict[side]
        axs = tuple(ax for ax, lab in labs.items() if lab.get_text())
        if not axs:
            return
        c = self._get_offset_coord(side, axs, renderer)
        for lab in labs.values():
            s = "x" if side in ("left", "right") else "y"
            lab.update({s: c})

    def _align_super_title(self, renderer):
        """
        Adjust the position of the super title based on user alignment preferences.

        Respects horizontal and vertical alignment settings from suptitle_kw parameters,
        while applying sensible defaults when no custom alignment is provided.
        """
        if not self._suptitle.get_text():
            return
        axs = self._get_align_axes("top")  # returns outermost panels
        if not axs:
            return
        labs = tuple(t for t in self._suplabel_dict["top"].values() if t.get_text())
        pad = (self._suptitle_pad / 72) / self.get_size_inches()[1]

        # Get current alignment settings from suptitle (may be set via suptitle_kw)
        ha = self._suptitle.get_ha()
        va = self._suptitle.get_va()

        # Use original centering algorithm for horizontal positioning.
        x, _ = self._get_align_coord(
            "top",
            axs,
            includepanels=self._includepanels,
            align=ha,
        )
        y_target = self._get_offset_coord("top", axs, renderer, pad=pad, extra=labs)

        # Place suptitle so its *bbox bottom* sits at the target offset.
        # This preserves spacing for all vertical alignments (e.g. va='top').
        self._suptitle.set_ha(ha)
        self._suptitle.set_va(va)
        self._suptitle.set_position((x, 0))
        bbox = self._suptitle.get_window_extent(renderer)
        y_bbox = self.transFigure.inverted().transform((0, bbox.ymin))[1]
        y = y_target - y_bbox
        self._suptitle.set_position((x, y))

    def _update_axis_label(self, side, axs):
        """
        Update the aligned axis label for the input axes.
        """
        # Get the central axis and the spanning label (initialize if it does not exist)
        # NOTE: Previously we secretly used matplotlib axis labels for spanning labels,
        # offsetting them between two subplots if necessary. Now we track designated
        # 'super' labels and replace the actual labels with spaces so they still impact
        # the tight bounding box and thus allocate space for the spanning label.
        x, y = "xy" if side in ("bottom", "top") else "yx"
        c, ax = self._get_align_coord(side, axs, includepanels=self._includepanels)
        axlab = getattr(ax, x + "axis").label  # the central label
        suplabs = getattr(self, "_sup" + x + "label_dict")  # dict of spanning labels
        suplab = suplabs.get(ax, None)
        if suplab is None and not axlab.get_text().strip():
            return  # nothing to transfer from the normal label
        if suplab is not None and not suplab.get_text().strip():
            return  # nothing to update on the super label
        if suplab is None:
            props = ("ha", "va", "rotation", "rotation_mode")
            suplab = suplabs[ax] = self.text(0, 0, "")
            suplab.update({prop: getattr(axlab, "get_" + prop)() for prop in props})
        # Spanning labels are positioned manually while regular axis labels are
        # replaced by space placeholders to reserve bbox space. Exclude these
        # figure-level labels from tight layout to avoid double counting.
        suplab.set_in_layout(False)

        # Copy text from the central label to the spanning label
        # NOTE: Must use spaces rather than newlines, otherwise tight layout
        # won't make room. Reason is Text implementation (see Text._get_layout())
        labels._transfer_label(axlab, suplab)  # text, color, and font properties
        count = 1 + suplab.get_text().count("\n")
        space = "\n".join(" " * count)
        for ax in axs:  # includes original 'axis'
            axis = getattr(ax, x + "axis")
            axis.label.set_text(space)

        # Update spanning label position then add simple monkey patch
        # NOTE: Simply using axis._update_label_position() when this is
        # called is not sufficient. Fails with e.g. inline backend.
        t = mtransforms.IdentityTransform()  # set in pixels
        cx, cy = axlab.get_position()
        if x == "x":
            trans = mtransforms.blended_transform_factory(self.transFigure, t)
            coord = (c, cy)
        else:
            trans = mtransforms.blended_transform_factory(t, self.transFigure)
            coord = (cx, c)
        suplab.set_transform(trans)
        suplab.set_position(coord)
        setpos = getattr(mtext.Text, "set_" + y)

        def _set_coord(self, *args, **kwargs):  # noqa: E306
            setpos(self, *args, **kwargs)
            setpos(suplab, *args, **kwargs)

        setattr(axlab, "set_" + y, _set_coord.__get__(axlab))

    def _update_super_labels(self, side, labels, **kwargs):
        """
        Assign the figure super labels and update settings.
        """
        # Update the label parameters
        if side not in ("left", "right", "bottom", "top"):
            raise ValueError(f"Invalid side {side!r}.")
        kw = rc.fill(
            {
                "color": side + "label.color",
                "rotation": side + "label.rotation",
                "size": side + "label.size",
                "weight": side + "label.weight",
                "family": "font.family",
            },
            context=True,
        )
        kw.update(kwargs)  # used when updating *existing* labels
        props = self._suplabel_props[side]
        props.update(kw)  # used when creating *new* labels

        # Get the label axes
        # WARNING: In case users added labels then changed the subplot geometry we
        # have to remove labels whose axes don't match the current 'align' axes.
        axs = self._get_align_axes(side)
        if not axs:
            return  # occurs if called while adding axes
        if not labels:
            labels = [None for _ in axs]  # indicates that text should not be updated
        if not kw and all(_ is None for _ in labels):
            return  # nothing to update
        if len(labels) != len(axs):
            raise ValueError(
                f"Got {len(labels)} {side} labels but found {len(axs)} axes "
                f"along the {side} side of the figure."
            )
        src = self._suplabel_dict[side]
        extra = src.keys() - set(axs)
        for ax in extra:  # e.g. while adding axes
            text = src[ax].get_text()
            if text:
                warnings._warn_ultraplot(
                    f"Removing {side} label with text {text!r} from axes {ax.number}."
                )
            src[ax].remove()  # remove from the figure

        # Update the label text
        tf = self.transFigure
        for ax, label in zip(axs, labels):
            if ax in src:
                obj = src[ax]
            elif side in ("left", "right"):
                trans = mtransforms.blended_transform_factory(tf, ax.transAxes)
                obj = src[ax] = self.text(0, 0.5, "", transform=trans)
                obj.update(props)
            else:
                trans = mtransforms.blended_transform_factory(ax.transAxes, tf)
                obj = src[ax] = self.text(0.5, 0, "", transform=trans)
                obj.update(props)
            if kw:
                obj.update(kw)
            if label is not None:
                obj.set_text(label)

    def _update_super_title(self, title, **kwargs):
        """
        Assign the figure super title and update settings.
        """
        kw = rc.fill(
            {
                "size": "suptitle.size",
                "weight": "suptitle.weight",
                "color": "suptitle.color",
                "family": "font.family",
            },
            context=True,
        )
        kw.update(kwargs)
        if kw:
            self._suptitle.update(kw)
        if title is not None:
            self._suptitle.set_text(title)

    @_clear_border_cache
    @docstring._concatenate_inherited
    @docstring._snippet_manager
    def add_axes(self, rect, **kwargs):
        """
        %(figure.axes)s
        """
        kwargs = self._parse_proj(**kwargs)
        return super().add_axes(rect, **kwargs)

    @docstring._concatenate_inherited
    @docstring._snippet_manager
    def add_subplot(self, *args, **kwargs):
        """
        %(figure.subplot)s
        """
        return self._add_subplot(*args, **kwargs)

    @docstring._snippet_manager
    def subplot(self, *args, **kwargs):  # shorthand
        """
        %(figure.subplot)s
        """
        return self._add_subplot(*args, **kwargs)

    @docstring._snippet_manager
    def add_subplots(self, *args, **kwargs):
        """
        %(figure.subplots)s
        """
        return self._add_subplots(*args, **kwargs)

    @docstring._snippet_manager
    def subplots(self, *args, **kwargs):
        """
        %(figure.subplots)s
        """
        return self._add_subplots(*args, **kwargs)

    def auto_layout(self, renderer=None, aspect=None, tight=None, resize=None):
        """
        Automatically adjust the figure size and subplot positions. This is
        triggered automatically whenever the figure is drawn.

        Parameters
        ----------
        renderer : `~matplotlib.backend_bases.RendererBase`, optional
            The renderer. If ``None`` a default renderer will be produced.
        aspect : bool, optional
            Whether to update the figure size based on the reference subplot aspect
            ratio. By default, this is ``True``. This only has an effect if the
            aspect ratio is fixed (e.g., due to an image plot or geographic projection).
        tight : bool, optional
            Whether to update the figuer size and subplot positions according to
            a "tight layout". By default, this takes on the value of `tight` passed
            to `Figure`. If nothing was passed, it is :rc:`subplots.tight`.
        resize : bool, optional
            If ``False``, the current figure dimensions are fixed and automatic
            figure resizing is disabled. By default, the figure size may change
            unless both `figwidth` and `figheight` or `figsize` were passed
            to `~Figure.subplots`, `~Figure.set_size_inches` was called manually,
            or the figure was resized manually with an interactive backend.
        """
        # *Impossible* to get notebook backend to work with auto resizing so we
        # just do the tight layout adjustments and skip resizing.
        gs = self.gridspec
        renderer = self._get_renderer()
        if aspect is None:
            aspect = True
        if tight is None:
            tight = self._tight_active
        if resize is False:  # fix the size
            self._figwidth, self._figheight = self.get_size_inches()
            self._refwidth = self._refheight = None  # critical!

        # Helper functions
        # NOTE: Have to draw legends and colorbars early (before reaching axes
        # draw methods) because we have to take them into account for alignment.
        # Also requires another figure resize (which triggers a gridspec update).
        def _draw_content():
            for ax in self._iter_axes(hidden=False, children=True):
                ax._add_queued_guides()  # may trigger resizes if panels are added

        def _align_content():  # noqa: E306
            for axis in "xy":
                self._align_axis_label(axis)
            for side in ("left", "right", "top", "bottom"):
                self._align_super_labels(side, renderer)
            self._align_super_title(renderer)

        # Update the layout
        # WARNING: Tried to avoid two figure resizes but made
        # subsequent tight layout really weird. Have to resize twice.
        _draw_content()
        if not gs:
            return
        if aspect:
            gs._auto_layout_aspect()
        _align_content()
        if tight:
            gs._auto_layout_tight(renderer)
        _align_content()

    @warnings._rename_kwargs(
        "0.10.0", mathtext_fallback="uplt.rc.mathtext_fallback = {}"
    )
    @docstring._snippet_manager
    def format(
        self,
        axs=None,
        *,
        figtitle=None,
        suptitle=None,
        suptitle_kw=None,
        llabels=None,
        leftlabels=None,
        leftlabels_kw=None,
        rlabels=None,
        rightlabels=None,
        rightlabels_kw=None,
        blabels=None,
        bottomlabels=None,
        bottomlabels_kw=None,
        tlabels=None,
        toplabels=None,
        toplabels_kw=None,
        rowlabels=None,
        collabels=None,  # aliases
        includepanels=None,
        **kwargs,
    ):
        """
        Modify figure-wide labels and call ``format`` for the
        input axes. By default the numbered subplots are used.

        Parameters
        ----------
        axs : sequence of `~ultraplot.axes.Axes`, optional
            The axes to format. Default is the numbered subplots.
        %(figure.format)s

        Important
        ---------
        `leftlabelpad`, `toplabelpad`, `rightlabelpad`, and `bottomlabelpad`
        keywords are actually :ref:`configuration settings <ug_config>`.
        We explicitly document these arguments here because it is common to
        change them for specific figures. But many :ref:`other configuration
        settings <ug_format>` can be passed to ``format`` too.

        Other parameters
        ----------------
        %(axes.format)s
        %(cartesian.format)s
        %(polar.format)s
        %(geo.format)s
        %(rc.format)s

        See also
        --------
        ultraplot.axes.Axes.format
        ultraplot.axes.CartesianAxes.format
        ultraplot.axes.PolarAxes.format
        ultraplot.axes.GeoAxes.format
        ultraplot.gridspec.SubplotGrid.format
        ultraplot.config.Configurator.context
        """
        self._layout_dirty = True
        # Initiate context block
        axs = axs or self._subplot_dict.values()
        skip_axes = kwargs.pop("skip_axes", False)  # internal keyword arg
        rc_kw, rc_mode = _pop_rc(kwargs)
        with rc.context(rc_kw, mode=rc_mode):
            # Update background patch
            kw = rc.fill({"facecolor": "figure.facecolor"}, context=True)
            self.patch.update(kw)

            # Update super title and label spacing
            pad = rc.find("suptitle.pad", context=True)  # super title
            if pad is not None:
                self._suptitle_pad = pad
            for side in tuple(self._suplabel_pad):  # super labels
                pad = rc.find(side + "label.pad", context=True)
                if pad is not None:
                    self._suplabel_pad[side] = pad
            if includepanels is not None:
                self._includepanels = includepanels

            # Update super title and labels text and settings
            suptitle_kw = suptitle_kw or {}
            leftlabels_kw = leftlabels_kw or {}
            rightlabels_kw = rightlabels_kw or {}
            bottomlabels_kw = bottomlabels_kw or {}
            toplabels_kw = toplabels_kw or {}
            self._update_super_title(
                _not_none(figtitle=figtitle, suptitle=suptitle),
                **suptitle_kw,
            )
            self._update_super_labels(
                "left",
                _not_none(rowlabels=rowlabels, leftlabels=leftlabels, llabels=llabels),
                **leftlabels_kw,
            )
            self._update_super_labels(
                "right",
                _not_none(rightlabels=rightlabels, rlabels=rlabels),
                **rightlabels_kw,
            )
            self._update_super_labels(
                "bottom",
                _not_none(bottomlabels=bottomlabels, blabels=blabels),
                **bottomlabels_kw,
            )
            self._update_super_labels(
                "top",
                _not_none(collabels=collabels, toplabels=toplabels, tlabels=tlabels),
                **toplabels_kw,
            )

        # Update the main axes
        if skip_axes:  # avoid recursion
            return

        # Remove all keywords that are not in the allowed signature parameters
        kws = {
            cls: _pop_params(kwargs, sig)
            for cls, sig in paxes.Axes._format_signatures.items()
        }
        classes = set()  # track used dictionaries

        def _axis_has_share_label_text(ax, axis):
            groups = self._share_label_groups.get(axis, {})
            for group in groups.values():
                if ax in group["axes"] and str(group.get("text", "")).strip():
                    return True
            return False

        def _axis_has_label_text(ax, axis):
            text = ax.get_xlabel() if axis == "x" else ax.get_ylabel()
            return bool(text and text.strip())

        for number, ax in enumerate(axs):
            number = number + 1  # number from 1
            store_old_number = ax.number
            if ax.number != number:
                ax.number = number
            kw = {
                key: value
                for cls, kw in kws.items()
                for key, value in kw.items()
                if isinstance(ax, cls) and not classes.add(cls)
            }
            if kw.get("xlabel") is not None and self._has_share_label_groups("x"):
                if _axis_has_share_label_text(ax, "x") or _axis_has_label_text(ax, "x"):
                    kw.pop("xlabel", None)
            if kw.get("ylabel") is not None and self._has_share_label_groups("y"):
                if _axis_has_share_label_text(ax, "y") or _axis_has_label_text(ax, "y"):
                    kw.pop("ylabel", None)
            ax.format(rc_kw=rc_kw, rc_mode=rc_mode, skip_figure=True, **kw, **kwargs)
            ax.number = store_old_number
        # Warn unused keyword argument(s)
        kw = {
            key: value
            for name in kws.keys() - classes
            for key, value in kws[name].items()
        }
        if kw:
            warnings._warn_ultraplot(
                f"Ignoring unused projection-specific format() keyword argument(s): {kw}"  # noqa: E501
            )

    @docstring._concatenate_inherited
    @docstring._snippet_manager
    def colorbar(
        self,
        mappable,
        values=None,
        loc: Optional[str] = None,
        location: Optional[str] = None,
        row: Optional[int] = None,
        col: Optional[int] = None,
        rows: Optional[Union[int, Tuple[int, int]]] = None,
        cols: Optional[Union[int, Tuple[int, int]]] = None,
        span: Optional[Union[int, Tuple[int, int]]] = None,
        space: Optional[Union[float, str]] = None,
        pad: Optional[Union[float, str]] = None,
        width: Optional[Union[float, str]] = None,
        **kwargs,
    ):
        """
        Add a colorbar along the side of the figure.

        Parameters
        ----------
        %(axes.colorbar_args)s
        length : float, default: :rc:`colorbar.length`
            The colorbar length. Units are relative to the span of the rows and
            columns of subplots.
        shrink : float, optional
            Alias for `length`. This is included for consistency with
            `matplotlib.figure.Figure.colorbar`.
        width : unit-spec, default: :rc:`colorbar.width`
            The colorbar width.
            %(units.in)s
        %(figure.colorbar_space)s
            Has no visible effect if `length` is ``1``.

        Other parameters
        ----------------
        %(axes.colorbar_kwargs)s

        See also
        --------
        ultraplot.axes.Axes.colorbar
        matplotlib.figure.Figure.colorbar
        """
        # Backwards compatibility
        ax = kwargs.pop("ax", None)
        ref = kwargs.pop("ref", None)
        loc_ax = ref if ref is not None else ax
        cax = kwargs.pop("cax", None)
        if isinstance(values, maxes.Axes):
            cax = _not_none(cax_positional=values, cax=cax)
            values = None
        if isinstance(loc, maxes.Axes):
            ax = _not_none(ax_positional=loc, ax=ax)
            loc = None
        # Helpful warning
        if kwargs.pop("use_gridspec", None) is not None:
            warnings._warn_ultraplot(
                "Ignoring the 'use_gridspec' keyword. ultraplot always allocates "
                "additional space for colorbars using the figure gridspec "
                "rather than 'stealing space' from the parent subplot."
            )
        # Fill this axes
        if cax is not None:
            with context._state_context(cax, _internal_call=True):  # do not wrap pcolor
                cb = super().colorbar(mappable, cax=cax, **kwargs)
        # Axes panel colorbar
        elif loc_ax is not None:
            # Check if span parameters are provided
            has_span = _not_none(span, row, col, rows, cols) is not None

            # Infer span from loc_ax if it is a list and no span provided
            if (
                not has_span
                and np.iterable(loc_ax)
                and not isinstance(loc_ax, (str, maxes.Axes))
            ):
                loc_trans = _translate_loc(loc, "colorbar", default=rc["colorbar.loc"])
                side = (
                    loc_trans
                    if loc_trans in ("left", "right", "top", "bottom")
                    else None
                )

                if side:
                    r_min, r_max = float("inf"), float("-inf")
                    c_min, c_max = float("inf"), float("-inf")
                    valid_ax = False
                    for axi in loc_ax:
                        if not hasattr(axi, "get_subplotspec"):
                            continue
                        ss = axi.get_subplotspec()
                        if ss is None:
                            continue
                        ss = ss.get_topmost_subplotspec()
                        r1, r2, c1, c2 = ss._get_rows_columns()
                        gs = ss.get_gridspec()
                        if gs is not None:
                            try:
                                r1, r2 = gs._decode_indices(r1, r2, which="h")
                                c1, c2 = gs._decode_indices(c1, c2, which="w")
                            except ValueError:
                                # Non-panel decode can fail for panel or nested specs.
                                pass
                        r_min = min(r_min, r1)
                        r_max = max(r_max, r2)
                        c_min = min(c_min, c1)
                        c_max = max(c_max, c2)
                        valid_ax = True

                    if valid_ax:
                        if side in ("left", "right"):
                            rows = (r_min + 1, r_max + 1)
                        else:
                            cols = (c_min + 1, c_max + 1)
                        has_span = True

            # Extract a single axes from array if span is provided
            # Otherwise, pass the array as-is for normal colorbar behavior
            if (
                has_span
                and np.iterable(loc_ax)
                and not isinstance(loc_ax, (str, maxes.Axes))
            ):
                # Pick the best axis to anchor to based on the colorbar side
                loc_trans = _translate_loc(loc, "colorbar", default=rc["colorbar.loc"])
                side = (
                    loc_trans
                    if loc_trans in ("left", "right", "top", "bottom")
                    else None
                )

                best_ax = None
                best_coord = float("-inf")

                # If side is determined, search for the edge axis
                if side:
                    for axi in loc_ax:
                        if not hasattr(axi, "get_subplotspec"):
                            continue
                        ss = axi.get_subplotspec()
                        if ss is None:
                            continue
                        ss = ss.get_topmost_subplotspec()
                        r1, r2, c1, c2 = ss._get_rows_columns()
                        gs = ss.get_gridspec()
                        if gs is not None:
                            try:
                                r1, r2 = gs._decode_indices(r1, r2, which="h")
                                c1, c2 = gs._decode_indices(c1, c2, which="w")
                            except ValueError:
                                # Non-panel decode can fail for panel or nested specs.
                                pass

                        if side == "right":
                            val = c2  # Maximize column index
                        elif side == "left":
                            val = -c1  # Minimize column index
                        elif side == "bottom":
                            val = r2  # Maximize row index
                        elif side == "top":
                            val = -r1  # Minimize row index
                        else:
                            val = 0

                        if val > best_coord:
                            best_coord = val
                            best_ax = axi

                # Fallback to first axis
                if best_ax is None:
                    try:
                        ax_single = next(iter(loc_ax))
                    except (TypeError, StopIteration):
                        ax_single = loc_ax
                else:
                    ax_single = best_ax
            else:
                ax_single = loc_ax

            # Pass span parameters through to axes colorbar
            cb = ax_single.colorbar(
                mappable,
                values,
                space=space,
                pad=pad,
                width=width,
                loc=loc,
                span=span,
                row=row,
                col=col,
                rows=rows,
                cols=cols,
                **kwargs,
            )
        # Figure panel colorbar
        else:
            loc = _not_none(loc=loc, location=location, default="r")
            ax = self._add_figure_panel(
                loc,
                row=row,
                col=col,
                rows=rows,
                cols=cols,
                span=span,
                width=width,
                space=space,
                pad=pad,
            )
            cb = ax.colorbar(mappable, values, loc="fill", **kwargs)
        return cb

    @docstring._concatenate_inherited
    @docstring._snippet_manager
    def legend(
        self,
        handles=None,
        labels=None,
        loc=None,
        location=None,
        row=None,
        col=None,
        rows=None,
        cols=None,
        span=None,
        space=None,
        pad=None,
        width=None,
        **kwargs,
    ):
        """
        Add a legend along the side of the figure.

        Parameters
        ----------
        %(axes.legend_args)s
        %(figure.legend_space)s
        width : unit-spec, optional
            The space allocated for the legend box. This does nothing if
            the :ref:`tight layout algorithm <ug_tight>` is active for the figure.
            %(units.in)s

        Other parameters
        ----------------
        %(axes.legend_kwargs)s

        See also
        --------
        ultraplot.axes.Axes.legend
        matplotlib.axes.Axes.legend
        """
        ax = kwargs.pop("ax", None)
        ref = kwargs.pop("ref", None)
        loc_ax = ref if ref is not None else ax

        # Axes panel legend
        if loc_ax is not None:
            content_ax = ax if ax is not None else loc_ax
            # Check if span parameters are provided
            has_span = _not_none(span, row, col, rows, cols) is not None

            # Automatically collect handles and labels from content axes if not provided
            # Case 1: content_ax is a list (we must auto-collect)
            # Case 2: content_ax != loc_ax (we must auto-collect because loc_ax.legend won't find content_ax handles)
            must_collect = (
                np.iterable(content_ax)
                and not isinstance(content_ax, (str, maxes.Axes))
            ) or (content_ax is not loc_ax)

            if must_collect and handles is None and labels is None:
                handles, labels = [], []
                # Handle list of axes
                if np.iterable(content_ax) and not isinstance(
                    content_ax, (str, maxes.Axes)
                ):
                    for axi in content_ax:
                        h, l = axi.get_legend_handles_labels()
                        handles.extend(h)
                        labels.extend(l)
                # Handle single axis
                else:
                    handles, labels = content_ax.get_legend_handles_labels()

            # Infer span from loc_ax if it is a list and no span provided
            if (
                not has_span
                and np.iterable(loc_ax)
                and not isinstance(loc_ax, (str, maxes.Axes))
            ):
                loc_trans = _translate_loc(loc, "legend", default=rc["legend.loc"])
                side = (
                    loc_trans
                    if loc_trans in ("left", "right", "top", "bottom")
                    else None
                )

                if side:
                    r_min, r_max = float("inf"), float("-inf")
                    c_min, c_max = float("inf"), float("-inf")
                    valid_ax = False
                    for axi in loc_ax:
                        if not hasattr(axi, "get_subplotspec"):
                            continue
                        ss = axi.get_subplotspec()
                        if ss is None:
                            continue
                        ss = ss.get_topmost_subplotspec()
                        r1, r2, c1, c2 = ss._get_rows_columns()
                        gs = ss.get_gridspec()
                        if gs is not None:
                            try:
                                r1, r2 = gs._decode_indices(r1, r2, which="h")
                                c1, c2 = gs._decode_indices(c1, c2, which="w")
                            except ValueError:
                                pass
                        r_min = min(r_min, r1)
                        r_max = max(r_max, r2)
                        c_min = min(c_min, c1)
                        c_max = max(c_max, c2)
                        valid_ax = True

                    if valid_ax:
                        if side in ("left", "right"):
                            rows = (r_min + 1, r_max + 1)
                        else:
                            cols = (c_min + 1, c_max + 1)
                        has_span = True

            # Extract a single axes from array if span is provided (or if ref is a list)
            # Otherwise, pass the array as-is for normal legend behavior (only if loc_ax is list)
            if (
                has_span
                and np.iterable(loc_ax)
                and not isinstance(loc_ax, (str, maxes.Axes))
            ):
                # Pick the best axis to anchor to based on the legend side
                loc_trans = _translate_loc(loc, "legend", default=rc["legend.loc"])
                side = (
                    loc_trans
                    if loc_trans in ("left", "right", "top", "bottom")
                    else None
                )

                best_ax = None
                best_coord = float("-inf")

                # If side is determined, search for the edge axis
                if side:
                    for axi in loc_ax:
                        if not hasattr(axi, "get_subplotspec"):
                            continue
                        ss = axi.get_subplotspec()
                        if ss is None:
                            continue
                        ss = ss.get_topmost_subplotspec()
                        r1, r2, c1, c2 = ss._get_rows_columns()
                        gs = ss.get_gridspec()
                        if gs is not None:
                            try:
                                r1, r2 = gs._decode_indices(r1, r2, which="h")
                                c1, c2 = gs._decode_indices(c1, c2, which="w")
                            except ValueError:
                                pass

                        if side == "right":
                            val = c2  # Maximize column index
                        elif side == "left":
                            val = -c1  # Minimize column index
                        elif side == "bottom":
                            val = r2  # Maximize row index
                        elif side == "top":
                            val = -r1  # Minimize row index
                        else:
                            val = 0

                        if val > best_coord:
                            best_coord = val
                            best_ax = axi

                # Fallback to first axis if no best axis found (or side is None)
                if best_ax is None:
                    try:
                        ax_single = next(iter(loc_ax))
                    except (TypeError, StopIteration):
                        ax_single = loc_ax
                else:
                    ax_single = best_ax

            else:
                ax_single = loc_ax
                if isinstance(ax_single, list):
                    try:
                        ax_single = pgridspec.SubplotGrid(ax_single)
                    except ValueError:
                        ax_single = ax_single[0]

            leg = ax_single.legend(
                handles,
                labels,
                loc=loc,
                space=space,
                pad=pad,
                width=width,
                span=span,
                row=row,
                col=col,
                rows=rows,
                cols=cols,
                **kwargs,
            )
        # Figure panel legend
        else:
            loc = _not_none(loc=loc, location=location, default="r")
            ax = self._add_figure_panel(
                loc,
                row=row,
                col=col,
                rows=rows,
                cols=cols,
                span=span,
                width=width,
                space=space,
                pad=pad,
            )
            leg = ax.legend(handles, labels, loc="fill", **kwargs)
        return leg

    @docstring._snippet_manager
    def save(self, filename, **kwargs):
        """
        %(figure.save)s
        """
        return self.savefig(filename, **kwargs)

    @docstring._concatenate_inherited
    @docstring._snippet_manager
    def savefig(self, filename, **kwargs):
        """
        %(figure.save)s
        """
        # Automatically expand the user name. Undocumented because we
        # do not want to overwrite the matplotlib docstring.
        if isinstance(filename, str):
            filename = os.path.expanduser(filename)
        # NOTE: this draw ensures that we are applying ultraplots layout adjustment. It is unclear what changed with ultraplot's history that makes this necessary, but it seems to cause no issues. Future devs, if unnecessary remove this line and test.
        self.canvas.draw()
        super().savefig(filename, **kwargs)

    @docstring._concatenate_inherited
    def set_canvas(self, canvas):
        """
        Set the figure canvas. Add monkey patches for the instance-level
        `~matplotlib.backend_bases.FigureCanvasBase.draw` and
        `~matplotlib.backend_bases.FigureCanvasBase.print_figure` methods.

        Parameters
        ----------
        canvas : `~matplotlib.backend_bases.FigureCanvasBase`
            The figure canvas.

        See also
        --------
        matplotlib.figure.Figure.set_canvas
        """
        # NOTE: Use the _draw method if it exists, e.g. for osx backends. Critical
        # or else wrong renderer size is used.
        # NOTE: See _add_canvas_preprocessor for details. Critical to not add cache
        # print_figure renderer when the print method (print_pdf, print_png, etc.)
        # calls Figure.draw(). Otherwise have issues where (1) figure size and/or
        # bounds are incorrect after saving figure *then* displaying it in qt or inline
        # notebook backends, and (2) figure fails to update correctly after successively
        # modifying and displaying within inline notebook backend (previously worked
        # around this by forcing additional draw() call in this function before
        # proceeding with print_figure). Set the canvas and add monkey patches
        # to the instance-level draw and print_figure methods.
        method = "draw"
        # if getattr(canvas, "_draw", None):
        # method = "_draw"
        # method = '_draw' if callable(getattr(canvas, '_draw', None)) else 'draw'
        _add_canvas_preprocessor(canvas, "print_figure", cache=False)  # saves, inlines
        _add_canvas_preprocessor(canvas, method, cache=True)  # renderer displays

        orig_draw_idle = getattr(type(canvas), "draw_idle", None)
        if orig_draw_idle is not None:

            def _draw_idle(self, *args, **kwargs):
                fig = self.figure
                if fig is not None:
                    fig._skip_autolayout = True
                return orig_draw_idle(self, *args, **kwargs)

            canvas.draw_idle = _draw_idle.__get__(canvas)
        super().set_canvas(canvas)

    def _is_same_size(self, figsize, eps=None):
        """
        Test if the figure size is unchanged up to some tolerance in inches.
        """
        eps = _not_none(eps, 0.01)
        figsize_active = self.get_size_inches()
        if figsize is None:  # e.g. GridSpec._calc_figsize() returned None
            return True
        else:
            return np.all(np.isclose(figsize, figsize_active, rtol=0, atol=eps))

    @docstring._concatenate_inherited
    def set_size_inches(self, w, h=None, *, forward=True, internal=False, eps=None):
        """
        Set the figure size. If this is being called manually or from an interactive
        backend, update the default layout with this fixed size. If the figure size is
        unchanged or this is an internal call, do not update the default layout.

        Parameters
        ----------
        *args : float
            The width and height passed as positional arguments or a 2-tuple.
        forward : bool, optional
            Whether to update the canvas.
        internal : bool, optional
            Whether this is an internal resize.
        eps : float, optional
            The deviation from the current size in inches required to treat this
            as a user-triggered figure resize that fixes the layout.

        See also
        --------
        matplotlib.figure.Figure.set_size_inches
        """
        # Parse input args
        figsize = w if h is None else (w, h)
        if not np.all(np.isfinite(figsize)):
            raise ValueError(f"Figure size must be finite, not {figsize}.")

        # Fix the figure size if this is a user action from an interactive backend
        # NOTE: If we fail to detect 'user' resize from the user, not only will
        # result be incorrect, but qt backend will crash because it detects a
        # recursive size change, since preprocessor size will differ.
        # NOTE: Bitmap renderers calculate the figure size in inches from
        # int(Figure.bbox.[width|height]) which rounds to whole pixels. When
        # renderer calls set_size_inches, size may be effectively the same, but
        # slightly changed due to roundoff error! Therefore only compare approx size.
        attrs = ("_is_idle_drawing", "_is_drawing", "_draw_pending")
        backend = any(getattr(self.canvas, attr, None) for attr in attrs)
        internal = internal or self._is_adjusting
        samesize = self._is_same_size(figsize, eps)
        ctx = context._empty_context()  # context not necessary most of the time
        if not backend and not internal and not samesize:
            ctx = self._context_adjusting()  # do not trigger layout solver
            self._figwidth, self._figheight = figsize
            self._refwidth = self._refheight = None  # critical!

        # Apply the figure size
        # NOTE: If size changes we always update the gridspec to enforce fixed spaces
        # and panel widths (necessary since axes use figure relative coords)
        with ctx:  # avoid recursion
            super().set_size_inches(figsize, forward=forward)
        if not samesize:  # gridspec positions will resolve differently
            self.gridspec.update()
            if not backend and not internal:
                self._layout_dirty = True

    def _iter_axes(self, hidden=False, children=False, panels=True):
        """
        Iterate over all axes and panels in the figure belonging to the
        `~ultraplot.axes.Axes` class. Exclude inset and twin axes.

        Parameters
        ----------
        hidden : bool, optional
            Whether to include "hidden" panels.
        children : bool, optional
            Whether to include child axes. Note this now includes "twin" axes.
        panels : bool or str or sequence of str, optional
            Whether to include panels or the panels to include.
        """
        # Parse panels
        if panels is False:
            panels = ()
        elif panels is True or panels is None:
            panels = ("left", "right", "bottom", "top")
        elif isinstance(panels, str):
            panels = (panels,)
        if not set(panels) <= {"left", "right", "bottom", "top"}:
            raise ValueError(f"Invalid sides {panels!r}.")
        # Iterate
        axs = (
            *self._subplot_dict.values(),
            *(ax for side in panels for ax in self._panel_dict[side]),
        )
        for ax in axs:
            if not hidden and ax._panel_hidden:
                continue  # ignore hidden panel and its colorbar/legend child
            yield from ax._iter_axes(hidden=hidden, children=children, panels=panels)

    @property
    def gridspec(self):
        """
        The single :class:`~ultraplot.gridspec.GridSpec` instance used for all
        subplots in the figure.

        See also
        --------
        ultraplot.figure.Figure.subplotgrid
        ultraplot.gridspec.GridSpec.figure
        ultraplot.gridspec.SubplotGrid.gridspec
        """
        return self._gridspec

    @gridspec.setter
    def gridspec(self, gs):
        if not isinstance(gs, pgridspec.GridSpec):
            raise ValueError("Gridspec must be a ultraplot.GridSpec instance.")
        self._gridspec = gs
        gs.figure = self  # trigger copying settings from the figure

    @property
    def subplotgrid(self):
        """
        A :class:`~ultraplot.gridspec.SubplotGrid` containing the numbered subplots in the
        figure. The subplots are ordered by increasing `~ultraplot.axes.Axes.number`.

        See also
        --------
        ultraplot.figure.Figure.gridspec
        ultraplot.gridspec.SubplotGrid.figure
        """
        return pgridspec.SubplotGrid([s for _, s in sorted(self._subplot_dict.items())])

    @property
    def tight(self):
        """
        Whether the :ref:`tight layout algorithm <ug_tight>` is active for the
        figure. This value is passed to `~ultraplot.figure.Figure.auto_layout`
        every time the figure is drawn. Can be changed e.g. ``fig.tight = False``.

        See also
        --------
        ultraplot.figure.Figure.auto_layout
        """
        return self._tight_active

    @tight.setter
    def tight(self, b):
        self._tight_active = bool(b)

    # Apply signature obfuscation after getting keys
    # NOTE: This is needed for axes and figure instantiation.
    _format_signature = inspect.signature(format)
    format = docstring._obfuscate_kwargs(format)


# Add deprecated properties. There are *lots* of properties we pass to Figure
# and do not like idea of publicly tracking every single one of them. If we
# want to improve user introspection consider modifying Figure.__repr__.
for _attr in ("alignx", "aligny", "sharex", "sharey", "spanx", "spany", "tight", "ref"):

    def _get_deprecated(self, attr=_attr):
        warnings._warn_ultraplot(
            f"The property {attr!r} is no longer public as of v0.8. It will be "
            "removed in a future release."
        )
        return getattr(self, "_" + attr)

    _getter = property(_get_deprecated)
    setattr(Figure, _attr, property(_get_deprecated))


# Disable native matplotlib layout and spacing functions when called
# manually and emit warning message to help new users.
for _attr, _msg in (
    ("set_tight_layout", Figure._tight_message),
    ("set_constrained_layout", Figure._tight_message),
    ("tight_layout", Figure._tight_message),
    ("init_layoutbox", Figure._tight_message),
    ("execute_constrained_layout", Figure._tight_message),
    ("subplots_adjust", Figure._space_message),
):
    _func = getattr(Figure, _attr, None)
    if _func is None:
        continue

    @functools.wraps(_func)  # noqa: E301
    def _disable_method(self, *args, func=_func, message=_msg, **kwargs):
        message = (
            f"fig.{func.__name__}() has no effect on ultraplot figures. " + message
        )
        if self._is_authorized:
            return func(self, *args, **kwargs)
        else:
            warnings._warn_ultraplot(message)  # noqa: E501, U100

    _disable_method.__doc__ = None  # remove docs
    setattr(Figure, _attr, _disable_method)
