@@ -6113,6 +6113,7 @@ def to_hdf(self, filepath, key):
         with LHDFStore(filepath) as store:
             store.put(key, self.to_frame())
             store.get_storer(key).attrs.type = 'Array'
+            self.meta.to_hdf(store, key)
 
     @deprecate_kwarg('sheet_name', 'sheet') 
     def to_excel(self, filepath=None, sheet=None, position='A1', overwrite_file=False, clear_sheet=False,
 
@@ -94,9 +94,12 @@ def read_hdf(filepath_or_buffer, key, fill_value=np.nan, na=np.nan, sort_rows=Fa
         attrs = store.get_storer(key).attrs
         # for backward compatibility but any object read from an hdf file should have an attribute 'type'
         _type = attrs.type if 'type' in attrs else 'Array'
+        _meta = attrs.metadata if 'metadata' in attrs else None
         if _type == 'Array':
             res = df_aslarray(pd_obj, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=fill_value,
                               parse_header=False)
+            if _meta is not None:
+                res.meta = _meta
         elif _type == 'Axis':
             if name is None:
                 name = str(pd_obj.name)
 
@@ -2652,8 +2652,8 @@ def test_expand(meta):
     c = Axis('c=c1,c2')
     assert ndtest([a, b], meta=meta).expand([a, c, b]).meta == meta
 
-def test_hdf_roundtrip(tmpdir):
-    a = ndtest((2, 3))
+def test_hdf_roundtrip(tmpdir, meta):
+    a = ndtest((2, 3), meta=meta)
     fpath = tmp_path(tmpdir, 'test.h5')
     a.to_hdf(fpath, 'a')
     res = read_hdf(fpath, 'a')
@@ -2662,6 +2662,7 @@ def test_hdf_roundtrip(tmpdir):
     assert a.shape == (2, 3)
     assert a.axes.names == ['a', 'b']
     assert_array_equal(res, a)
+    assert res.meta == a.meta
 
     # issue 72: int-like strings should not be parsed (should round-trip correctly)
     fpath = tmp_path(tmpdir, 'issue72.h5')