allow passing pytables options on load

deepdish/io/hdf5io.py

@@ -7,6 +7,7 @@
 from deepdish import conf
 try:
     import pandas as pd
+    pd.io.pytables._tables()
     _pandas = True
 except ImportError:
     _pandas = False
@@ -248,7 +249,7 @@ def _save_level(handler, group, level, name=None, filters=None, idtable=None):
     elif isinstance(level, np.ndarray):
         _save_ndarray(handler, group, name, level, filters=filters)
 
-    elif _pandas and isinstance(level, (pd.DataFrame, pd.Series, pd.Panel)):
+    elif _pandas and isinstance(level, (pd.DataFrame, pd.Series)):
         store = _HDFStoreWithHandle(handler)
         store.put(group._v_pathname + '/' + name, level)
 
@@ -598,7 +599,7 @@ def save(path, data, compression='default'):
             group._v_attrs[DEEPDISH_IO_UNPACK] = True
 
 
-def load(path, group=None, sel=None, unpack=False):
+def load(path, group=None, sel=None, unpack=False, pytables_kwargs={}):
     """
     Loads an HDF5 saved with `save`.
 
@@ -621,6 +622,8 @@ def load(path, group=None, sel=None, unpack=False):
         If True, a single-entry dictionaries will be unpacked and the value
         will be returned directly. That is, if you save ``dict(a=100)``, only
         ``100`` will be loaded.
+    pytables_kwargs : dict
+        Keyword arguments to pass to pytables when opening a file.
 
     Returns
     -------
@@ -632,7 +635,7 @@ def load(path, group=None, sel=None, unpack=False):
     save
 
     """
-    with tables.open_file(path, mode='r') as h5file:
+    with tables.open_file(path, mode='r', **pytables_kwargs) as h5file:
         pathtable = {}  # dict to keep track of objects already loaded
         if group is not None:
             if isinstance(group, str):

setup.py

@@ -25,7 +25,7 @@
 
 args = dict(
     name='deepdish',
-    version='0.3.4',
+    version='0.3.4.1',
     url="https://github.com/uchicago-cs/deepdish",
     description="Deep Learning experiments from University of Chicago.",
     maintainer='Gustav Larsson',