diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index ba95468940e6..5779200edc35 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -1060,13 +1060,14 @@ def hlines(self, y, xmin, xmax, colors=None, linestyles='solid',
lines.update(kwargs)
if len(y) > 0:
- minx = min(xmin.min(), xmax.min())
- maxx = max(xmin.max(), xmax.max())
- miny = y.min()
- maxy = y.max()
-
+ # Extreme values of xmin/xmax/y. Using masked_verts here handles
+ # the case of y being a masked *object* array (as can be generated
+ # e.g. by errorbar()), which would make nanmin/nanmax stumble.
+ minx = np.nanmin(masked_verts[..., 0])
+ maxx = np.nanmax(masked_verts[..., 0])
+ miny = np.nanmin(masked_verts[..., 1])
+ maxy = np.nanmax(masked_verts[..., 1])
corners = (minx, miny), (maxx, maxy)
-
self.update_datalim(corners)
self._request_autoscale_view()
@@ -1139,11 +1140,13 @@ def vlines(self, x, ymin, ymax, colors=None, linestyles='solid',
lines.update(kwargs)
if len(x) > 0:
- minx = x.min()
- maxx = x.max()
- miny = min(ymin.min(), ymax.min())
- maxy = max(ymin.max(), ymax.max())
-
+ # Extreme values of x/ymin/ymax. Using masked_verts here handles
+ # the case of x being a masked *object* array (as can be generated
+ # e.g. by errorbar()), which would make nanmin/nanmax stumble.
+ minx = np.nanmin(masked_verts[..., 0])
+ maxx = np.nanmax(masked_verts[..., 0])
+ miny = np.nanmin(masked_verts[..., 1])
+ maxy = np.nanmax(masked_verts[..., 1])
corners = (minx, miny), (maxx, maxy)
self.update_datalim(corners)
self._request_autoscale_view()
diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
index 332671afeb8d..3bd3fecac395 100644
--- a/lib/matplotlib/tests/test_axes.py
+++ b/lib/matplotlib/tests/test_axes.py
@@ -3633,6 +3633,20 @@ def test_errorbar_linewidth_type(elinewidth):
plt.errorbar([1, 2, 3], [1, 2, 3], yerr=[1, 2, 3], elinewidth=elinewidth)
+@check_figures_equal(extensions=["png"])
+def test_errorbar_nan(fig_test, fig_ref):
+ ax = fig_test.add_subplot()
+ xs = range(5)
+ ys = np.array([1, 2, np.nan, np.nan, 3])
+ es = np.array([4, 5, np.nan, np.nan, 6])
+ ax.errorbar(xs, ys, es)
+ ax = fig_ref.add_subplot()
+ ys = np.array([1, 2, np.nan, np.nan, 3])
+ es = np.array([4, 5, np.nan, np.nan, 6])
+ ax.errorbar([0, 1], [1, 2], [4, 5])
+ ax.errorbar([4], [3], [6], fmt="C0")
+
+
@image_comparison(['hist_stacked_stepfilled', 'hist_stacked_stepfilled'])
def test_hist_stacked_stepfilled():
# make some data
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