diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index 870aefec98916..1c50583954118 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -1755,7 +1755,7 @@ def _join_index(self, other, how):
 
         return self._constructor(result_series, index=join_index)
 
-    def plot(self, kind='line', **kwds): # pragma: no cover
+    def plot(self, kind='line', auto_x = False, **kwds): # pragma: no cover
         """
         Plot the DataFrame's series with the index on the x-axis using
         matplotlib / pylab.
@@ -1764,6 +1764,8 @@ def plot(self, kind='line', **kwds): # pragma: no cover
         ----------
         kind : {'line', 'bar', 'hist'}
             Default: line for TimeSeries, hist for Series
+            
+        auto_x : If True, the method will use range(len(self)) as x-axis
 
         kwds : other plotting keyword arguments
 
@@ -1774,8 +1776,27 @@ def plot(self, kind='line', **kwds): # pragma: no cover
         """
         from pylab import plot
 
+        if auto_x:
+            x = range(len(self))
+        else:
+            x = self.index
+        
+        for col in _try_sort(self.columns):
+            plot(x, self[col].values, label=col, **kwds)
+
+    def hist(self, **kwds):
+        """
+        Draw Histogram the DataFrame's series using matplotlib / pylab.
+
+        Parameters
+        ----------
+        kwds : other plotting keyword arguments
+
+        """
+        from pylab import hist
+
         for col in _try_sort(self.columns):
-            plot(self.index, self[col].values, label=col, **kwds)
+            hist(self[col].values, label=col, **kwds)
 
     def _get_agg_axis(self, axis_num):
         if axis_num == 0:
diff --git a/pandas/core/matrix.py b/pandas/core/matrix.py
index 5abf1ddb23a70..956a77072c532 100644
--- a/pandas/core/matrix.py
+++ b/pandas/core/matrix.py
@@ -908,7 +908,9 @@ def asMatrix(self, columns=None):
         return _reorder_columns(values, order, columns)
 
     def cols(self):
-        """Return sorted list of frame's columns"""
+        """
+        Return sorted list of frame's columns
+        """
         if self.objects is not None and len(self.objects.columns) > 0:
             return list(self.columns.union(self.objects.columns))
         else:
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 9c0815287d7c9..290a7088856c6 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -895,7 +895,7 @@ def fill(self, value=None, method='pad'):
 #-------------------------------------------------------------------------------
 # Miscellaneous
 
-    def plot(self, label=None, kind='line', rot=30, axes=None, style='-',
+    def plot(self, label=None, kind='line', auto_x = False, rot=30, axes=None, style='-',
              **kwds): # pragma: no cover
         """
         Plot the input series with the index on the x-axis using
@@ -906,6 +906,7 @@ def plot(self, label=None, kind='line', rot=30, axes=None, style='-',
         label : label argument to provide to plot
         kind : {'line', 'bar', 'hist'}
             Default: line for TimeSeries, hist for Series
+        auto_x : if True, it will use range(len(self)) as x-axis
         kwds : other plotting keyword arguments
 
         Notes
@@ -928,7 +929,13 @@ def plot(self, label=None, kind='line', rot=30, axes=None, style='-',
             axes = plt.gca()
 
         if kind == 'line':
-            axes.plot(self.index, self.values, style, **kwds)
+            if auto_x:
+                x = range(len(self))
+            else:
+                x = self.index
+                
+            axes.plot(x, self.values, style, **kwds)
+            
         elif kind == 'bar':
             xinds = np.arange(N) + 0.25
             axes.bar(xinds, self.values, 0.5, bottom=np.zeros(N), linewidth=1)
@@ -943,6 +950,25 @@ def plot(self, label=None, kind='line', rot=30, axes=None, style='-',
 
         plt.draw_if_interactive()
 
+    def hist(self, **kwds): # pragma: no cover
+        """
+        Draw histogram of the input series using matplotlib / pylab.
+
+        Parameters
+        ----------
+
+        Notes
+        -----
+        See matplotlib documentation online for more on this subject
+
+        Default plot-types: TimeSeries (line), Series (bar)
+
+        Intended to be used in ipython -pylab mode
+        """
+        import matplotlib.pyplot as plt
+
+        plt.hist(self.values)
+        
     def toCSV(self, path):
         """
         Write the Series to a CSV file