DOC: fix qcut docs

Author: wesm

pandas/tests/test_strings.py

@@ -641,7 +641,7 @@ def test_string_slice_get_syntax(self):
 
     def test_match_findall_flags(self):
         data = {'Dave': '[email protected]', 'Steve': '[email protected]',
-		'Rob': '[email protected]', 'Wes': np.nan}
+                'Rob': '[email protected]', 'Wes': np.nan}
         data = Series(data)
 
         pat = pattern = r'([A-Z0-9._%+-]+)@([A-Z0-9.-]+)\.([A-Z]{2,4})'

pandas/tools/tile.py

@@ -106,8 +106,8 @@ def qcut(x, q, labels=None, retbins=False, precision=3):
     """
     Quantile-based discretization function. Discretize variable into
     equal-sized buckets based on rank or based on sample quantiles. For example
-    1000 values for 10 quantiles would produce 1000 integers from 0 to 9
-    indicating the
+    1000 values for 10 quantiles would produce a Categorical object indicating
+    quantile membership for each data point.
 
     Parameters
     ----------