diff --git a/.travis.yml b/.travis.yml
index 0226ba4..e5f0635 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -15,7 +15,7 @@ before_install:
   - source activate myenv
   - pip install --upgrade pip
 install:
-  - conda install --yes numpy h5py==2.7.0
+  - pip install numpy h5py==2.9.0
   - pip install --upgrade quantities future requests
   - pip install pytest pytest-cov coveralls
   - pip install --upgrade docopt
diff --git a/h5py_wrapper/wrapper.py b/h5py_wrapper/wrapper.py
index 09a568e..c6422fe 100644
--- a/h5py_wrapper/wrapper.py
+++ b/h5py_wrapper/wrapper.py
@@ -278,10 +278,10 @@ def _load_dataset(f, lazy=False):
                     'custom_shape' in f.attrs):
                 return _load_custom_shape(f)
             elif '_unit' in f.attrs:
-                return _cast_value_type(f.value, value_type,
+                return _cast_value_type(f[()], value_type,
                                         unit=f.attrs['_unit'])
             else:
-                return _cast_value_type(f.value, value_type)
+                return _cast_value_type(f[()], value_type)
 
 
 def _evaluate_key(f):
@@ -303,7 +303,7 @@ def _load_custom_shape(f):
     Reshape array with unequal dimensions into original shape.
     """
     data_reshaped = []
-    value = f.value
+    value = f[()]
     custom_value_types = f.attrs['custom_value_types'].astype(np.unicode_)
     for (j, i), value_type in zip(lib.accumulate(f.attrs['oldshape']),
                                   custom_value_types):