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.])