DOC: added release notes, docs for #288, #647

Author: adamklein

RELEASE.rst

@@ -80,6 +80,9 @@ pandas 0.7.0
     in DataFrame (GH #628)
   - Add new ``Series.unique`` function, significantly faster than
     ``numpy.unique`` (GH #658)
+  - Add new ``cummin`` and ``cummax`` instance methods to ``Series`` and
+    ``DataFrame`` (GH #647)
+  - Add new ``value_range`` function to return min/max of a dataframe (GH #288)
 
 **API Changes**
 

doc/source/basics.rst

@@ -285,6 +285,8 @@ optional ``level`` parameter which applies only if the object has a
     ``quantile``, Sample quantile (value at %)
     ``cumsum``, Cumulative sum
     ``cumprod``, Cumulative product
+    ``cummax``, Cumulative maximum
+    ``cummin``, Cumulative minimum
 
 Note that by chance some NumPy methods, like ``mean``, ``std``, and ``sum``,
 will exclude NAs on Series input by default:
@@ -332,6 +334,9 @@ number of unique values and most frequently occurring values:
    s = Series(['a', 'a', 'b', 'b', 'a', 'a', np.nan, 'c', 'd', 'a'])
    s.describe()
 
+There also is a utility function, ``value_range`` which takes a DataFrame and
+returns a series with the minimum/maximum values in the DataFrame.
+
 .. _basics.idxmin:
 
 Index of Min/Max Values

doc/source/whatsnew/v0.7.0.txt

@@ -88,6 +88,12 @@ New features
   aggregate with groupby on a DataFrame, yielding an aggregated result with
   hierarchical columns (GH166_)
 
+- Can call ``cummin`` and ``cummax`` on Series and DataFrame to get cumulative
+  minimum and maximum, respectively (GH647_)
+
+- ``value_range`` added as utility function to get min and max of a dataframe
+  (GH288_)
+
 API Changes to integer indexing
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
@@ -266,6 +272,7 @@ similar operation to the above but using a Python function:
 .. _GH115: https://github.com/wesm/pandas/issues/115
 .. _GH166: https://github.com/wesm/pandas/issues/166
 .. _GH220: https://github.com/wesm/pandas/issues/220
+.. _GH288: https://github.com/wesm/pandas/issues/288
 .. _GH249: https://github.com/wesm/pandas/issues/249
 .. _GH267: https://github.com/wesm/pandas/issues/267
 .. _GH273: https://github.com/wesm/pandas/issues/273
@@ -288,6 +295,7 @@ similar operation to the above but using a Python function:
 .. _GH545: https://github.com/wesm/pandas/issues/545
 .. _GH554: https://github.com/wesm/pandas/issues/554
 .. _GH595: https://github.com/wesm/pandas/issues/595
+.. _GH647: https://github.com/wesm/pandas/issues/647
 .. _GH93: https://github.com/wesm/pandas/issues/93
 .. _GH93: https://github.com/wesm/pandas/issues/93
 .. _PR521: https://github.com/wesm/pandas/pull/521

pandas/tools/describe.py

@@ -1,16 +1,16 @@
 from pandas.core.series import Series
 
 def value_range(df):
-    '''
+    """
     Return the minimum and maximum of a dataframe in a series object
 
     Parameters
     ----------
-    df : dataframe
+    df : DataFrame
 
     Returns
     -------
     (maximum, minimum) : Series
 
-    '''
+    """
     return Series((min(df.min()), max(df.max())), ('Minimum', 'Maximum'))