602be075297ae9b6b1ee172da4f52e64739cbd17,lib/matplotlib/tight_bbox.py,,adjust_bbox,#Any#Any#Any#,8

Before Change

    fig.patch.set_bounds(x0 / w1, y0 / h1,
                         fig.bbox.width / w1, fig.bbox.height / h1)

    return restore_bbox


def process_figure_for_rasterizing(fig, bbox_inches_restore, fixed_dpi=None):
    

After Change

    def no_op_apply_aspect(position=None):
        return

    stack = contextlib.ExitStack()

    stack.callback(fig.set_tight_layout, fig.get_tight_layout())
    fig.set_tight_layout(False)

    for ax in fig.axes:
        pos = ax.get_position(original=False).frozen()

        def _l(a, r, pos=pos):
            return pos

        stack.callback(ax.set_axes_locator, ax.get_axes_locator())
        ax.set_axes_locator(_l)

        // override the method that enforces the aspect ratio
        // on the Axes
        stack.enter_context(_setattr_cm(ax, apply_aspect=no_op_apply_aspect))

    if fixed_dpi is not None:
        tr = Affine2D().scale(fixed_dpi)
        dpi_scale = fixed_dpi / fig.dpi
    else:
        tr = Affine2D().scale(fig.dpi)
        dpi_scale = 1.

    _bbox = TransformedBbox(bbox_inches, tr)

    stack.enter_context(
        _setattr_cm(fig, bbox_inches=Bbox.from_bounds(
            0, 0, bbox_inches.width, bbox_inches.height)))
    x0, y0 = _bbox.x0, _bbox.y0
    w1, h1 = fig.bbox.width * dpi_scale, fig.bbox.height * dpi_scale
    stack.enter_context(
        _setattr_cm(fig.transFigure,
                    _boxout=Bbox.from_bounds(-x0, -y0, w1, h1)))
    fig.transFigure.invalidate()
    stack.callback(fig.transFigure.invalidate)

    stack.enter_context(

Instances