* _iotools.StringConverter

  - prevents a `default` of 0 to be overwritten during initialization
  - allows the `missing_values` to be a comma-separated string
* io.genfromtxt
  - `usecols` can now be a single integer
  - for `usecols` and `names` to list (for compatibility w/ Python 2.5)
  - negative values in `usecols` are properly transformed to positive integers
  - fixed `usecols` with named columns

1 files changed, 6 insertions, 1 deletions

diff --git a/numpy/lib/_iotools.py b/numpy/lib/_iotools.py
index 398ed07a4..c69bd84dc 100644
--- a/numpy/lib/_iotools.py
+++ b/numpy/lib/_iotools.py
@@ -535,7 +535,10 @@ class StringConverter:
             for (i, (deftype, func, default_def)) in enumerate(self._mapper):
                 if np.issubdtype(ttype, deftype):
                     _status = i
-                    self.default = default or default_def
+                    if default is None:
+                        self.default = default_def
+                    else:
+                        self.default = default
                     break
             if _status == -1:
                 # We never found a match in the _mapper...
@@ -552,6 +555,8 @@ class StringConverter:
         if missing_values is None:
             self.missing_values = set([''])
         else:
+            if isinstance(missing_values, basestring):
+                missing_values = missing_values.split(",")
             self.missing_values = set(list(missing_values) + [''])
         #
         self._callingfunction = self._strict_call