refactored datetime and date index handling

Author: lespaul

pandas/io/pytables.py

@@ -710,18 +710,15 @@ def _convert_index(index):
     # Let's assume the index is homogeneous
     values = np.asarray(index)
 
-    if isinstance(values[0], (datetime, date)):
-        if isinstance(values[0], datetime):
-            kind = 'datetime'
-            converted = np.array([(time.mktime(v.timetuple()) +
-                                   v.microsecond / 1E6) for v in values],
-                                   dtype=np.float64)
-            return converted, kind, _tables().Time64Col()
-        else:
-            kind = 'date'
-            converted = np.array([time.mktime(v.timetuple()) for v in values],
-                              dtype=np.int64)
-            return converted, kind, _tables().Time64Col()
+    if isinstance(values[0], datetime):
+        converted = np.array([(time.mktime(v.timetuple()) +
+                               v.microsecond / 1E6) for v in values],
+                               dtype=np.float64)
+        return converted, 'datetime', _tables().Time64Col()
+    elif isinstance(values[0], date):
+        converted = np.array([time.mktime(v.timetuple()) for v in values],
+                             dtype=np.int64)
+        return converted, 'date', _tables().Time64Col()
     elif isinstance(values[0], basestring):
         converted = np.array(list(values), dtype=np.str_)
         itemsize = converted.dtype.itemsize