diff --git a/lib/matplotlib/collections.py b/lib/matplotlib/collections.py
index 390866fb80ea..eab47a160fa0 100644
--- a/lib/matplotlib/collections.py
+++ b/lib/matplotlib/collections.py
@@ -219,7 +219,7 @@ def get_datalim(self, transData):
# get_path_collection_extents handles nan but not masked arrays
if len(paths) and len(offsets):
- if transform.contains_branch(transData):
+ if any(transform.contains_branch_seperately(transData)):
# collections that are just in data units (like quiver)
# can properly have the axes limits set by their shape +
# offset. LineCollections that have no offsets can
diff --git a/lib/matplotlib/tests/test_collections.py b/lib/matplotlib/tests/test_collections.py
index 9f1954dfd94e..84eaf25fd4e9 100644
--- a/lib/matplotlib/tests/test_collections.py
+++ b/lib/matplotlib/tests/test_collections.py
@@ -616,3 +616,17 @@ def test_collection_set_verts_array():
for ap, lp in zip(col_arr._paths, col_list._paths):
assert np.array_equal(ap._vertices, lp._vertices)
assert np.array_equal(ap._codes, lp._codes)
+
+
+def test_blended_collection_autolim():
+ a = [1, 2, 4]
+ height = .2
+
+ xy_pairs = np.column_stack([np.repeat(a, 2), np.tile([0, height], len(a))])
+ line_segs = xy_pairs.reshape([len(a), 2, 2])
+
+ f, ax = plt.subplots()
+ trans = mtransforms.blended_transform_factory(ax.transData, ax.transAxes)
+ ax.add_collection(LineCollection(line_segs, transform=trans))
+ ax.autoscale_view(scalex=True, scaley=False)
+ np.testing.assert_allclose(ax.get_xlim(), [1., 4.])
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