Jul 5, 2025
diff --git a/lib/matplotlib/axes/_base.py b/lib/matplotlib/axes/_base.py
        self._forward_navigation_events = forward_navigation_events
        self._sharex = sharex
        self._sharey = sharey
        self._orig_xbound = None
        self._orig_ybound = None
        self.set_label(label)
        self.set_figure(fig)
        # The subplotspec needs to be set after the figure (so that

        x_trf = self.xaxis.get_transform()
        y_trf = self.yaxis.get_transform()
        xmin, xmax = x_trf.transform(self.get_xbound())
        ymin, ymax = y_trf.transform(self.get_ybound())
        xmin, xmax =self._orig_xbound orx_trf.transform(self.get_xbound())
        ymin, ymax =self._orig_ybound ory_trf.transform(self.get_ybound())
        xsize = max(abs(xmax - xmin), 1e-30)
        ysize = max(abs(ymax - ymin), 1e-30)

            yc = 0.5 * (ymin + ymax)
            y0 = yc - Ysize / 2.0
            y1 = yc + Ysize / 2.0
            self.set_ybound(y_trf.inverted().transform([y0, y1]))
            if not self.get_autoscaley_on():
                _log.warning("Ignoring fixed y limits to fulfill fixed data aspect "
                             "with adjustable data limits.")
            self.set_ybound(y_trf.inverted().transform([y0, y1]))
                self._orig_ybound = (ymin, ymax)
            if self._orig_xbound is not None:
                # We previously expanded x, so revert that
                self.set_xbound(x_trf.inverted().transform([xmin, xmax]))
        else:
            xc = 0.5 * (xmin + xmax)
            x0 = xc - Xsize / 2.0
            x1 = xc + Xsize / 2.0
            self.set_xbound(x_trf.inverted().transform([x0, x1]))
            if not self.get_autoscalex_on():
                _log.warning("Ignoring fixed x limits to fulfill fixed data aspect "
                             "with adjustable data limits.")
            self.set_xbound(x_trf.inverted().transform([x0, x1]))
                self._orig_xbound = (xmin, xmax)
            if self._orig_ybound is not None:
                # We previously expanded y, so revert that
                self.set_ybound(y_trf.inverted().transform([ymin, ymax]))

    def axis(self, arg=None, /, *, emit=True, **kwargs):
        """

        >>> set_xlim(5000, 0)
        """
        self._orig_xbound = None
        if right is None and np.iterable(left):
            left, right = left
        if xmin is not None:

        >>> set_ylim(5000, 0)
        """
        self._orig_ybound = None
        if top is None and np.iterable(bottom):
            bottom, top = bottom
        if ymin is not None:
Original file line number	Diff line number	Diff line change
Expand Up		@@ -687,6 +687,8 @@
		self._forward_navigation_events = forward_navigation_events
		self._sharex = sharex
		self._sharey = sharey
		self._orig_xbound = None
		self._orig_ybound = None
		self.set_label(label)
		self.set_figure(fig)
		# The subplotspec needs to be set after the figure (so that
Expand DownExpand Up		@@ -2019,8 +2021,8 @@

		x_trf = self.xaxis.get_transform()
		y_trf = self.yaxis.get_transform()
		xmin, xmax = x_trf.transform(self.get_xbound())
		ymin, ymax = y_trf.transform(self.get_ybound())
		xmin, xmax =self._orig_xbound orx_trf.transform(self.get_xbound())
		ymin, ymax =self._orig_ybound ory_trf.transform(self.get_ybound())
		xsize = max(abs(xmax - xmin), 1e-30)
		ysize = max(abs(ymax - ymin), 1e-30)

Expand DownExpand Up		@@ -2072,18 +2074,26 @@
		yc = 0.5 * (ymin + ymax)
		y0 = yc - Ysize / 2.0
		y1 = yc + Ysize / 2.0
		self.set_ybound(y_trf.inverted().transform([y0, y1]))
		if not self.get_autoscaley_on():
		_log.warning("Ignoring fixed y limits to fulfill fixed data aspect "
		"with adjustable data limits.")
		self.set_ybound(y_trf.inverted().transform([y0, y1]))
		self._orig_ybound = (ymin, ymax)
		if self._orig_xbound is not None:
		# We previously expanded x, so revert that
		self.set_xbound(x_trf.inverted().transform([xmin, xmax]))
Check warning on line 2084 in lib/matplotlib/axes/_base.py View check run for this annotation Codecov/ codecov/patch lib/matplotlib/axes/_base.py#L2084 `Added line #L2084 was not covered by tests`
		else:
		xc = 0.5 * (xmin + xmax)
		x0 = xc - Xsize / 2.0
		x1 = xc + Xsize / 2.0
		self.set_xbound(x_trf.inverted().transform([x0, x1]))
		if not self.get_autoscalex_on():
		_log.warning("Ignoring fixed x limits to fulfill fixed data aspect "
		"with adjustable data limits.")
		self.set_xbound(x_trf.inverted().transform([x0, x1]))
		self._orig_xbound = (xmin, xmax)
		if self._orig_ybound is not None:
		# We previously expanded y, so revert that
		self.set_ybound(y_trf.inverted().transform([ymin, ymax]))
Check warning on line 2096 in lib/matplotlib/axes/_base.py View check run for this annotation Codecov/ codecov/patch lib/matplotlib/axes/_base.py#L2096 `Added line #L2096 was not covered by tests`

		def axis(self, arg=None, /, , emit=True, *kwargs):
		"""
Expand DownExpand Up		@@ -3810,6 +3820,7 @@

		>>> set_xlim(5000, 0)
		"""
		self._orig_xbound = None
		if right is None and np.iterable(left):
		left, right = left
		if xmin is not None:
Expand DownExpand Up		@@ -4059,6 +4070,7 @@

		>>> set_ylim(5000, 0)
		"""
		self._orig_ybound = None
		if top is None and np.iterable(bottom):
		bottom, top = bottom
		if ymin is not None:
Expand Down