diff --git a/skvalidate/__init__.py b/skvalidate/__init__.py
index 1cb350c..a134dba 100644
--- a/skvalidate/__init__.py
+++ b/skvalidate/__init__.py
@@ -14,6 +14,7 @@
 # logging
 logger = logging.getLogger(__name__)
 logger.setLevel(logging.DEBUG)
+logger.propagate = False
 
 # add loggers
 ch = logging.StreamHandler()
diff --git a/skvalidate/commands/root_info.py b/skvalidate/commands/root_info.py
index 857622c..30c144e 100644
--- a/skvalidate/commands/root_info.py
+++ b/skvalidate/commands/root_info.py
@@ -3,6 +3,7 @@
 """
 from __future__ import print_function
 import click
+import numpy as np
 import pandas as pd
 from tabulate import tabulate
 import uproot
@@ -19,6 +20,15 @@ def info(input_file):
     for name, obj in _walk(f):
         canRead = False
         is_empty = False
+
+        hasStreamer = hasattr(obj, '_streamer') and obj._streamer is not None
+        interpretation = obj.interpretation if hasattr(obj, 'interpretation') else None
+        if not hasStreamer and interpretation is None:
+            data.append(
+                (name, interpretation, np.nan, np.nan, hasStreamer, canRead, is_empty)
+            )
+            continue
+
         try:
             a = obj.array()
             if a is None:
@@ -28,9 +38,8 @@ def info(input_file):
             canRead = True
         except Exception as e:
             print(e)
-        hasStreamer = obj._streamer is not None
         data.append(
-            (name, obj.interpretation, obj.compressedbytes(), obj.uncompressedbytes(), hasStreamer, canRead, is_empty)
+            (name, interpretation, obj.compressedbytes(), obj.uncompressedbytes(), hasStreamer, canRead, is_empty)
         )
     return pd.DataFrame.from_records(data, columns=labels)
 
diff --git a/skvalidate/compare/__init__.py b/skvalidate/compare/__init__.py
index b0963bd..859921c 100644
--- a/skvalidate/compare/__init__.py
+++ b/skvalidate/compare/__init__.py
@@ -101,7 +101,7 @@ def load_values(name, content1, content2):
     try:
         value1 = np.array(value1)
         value2 = np.array(value2)
-    except (AssertionError, TypeError) as e:
+    except (AssertionError, TypeError, ValueError) as e:
         logger.error('Cannot convert {} to numpy array: {}'.format(name, e))
         return None, None