DOC: pd.core.window.Expanding.kurt docstring (split from pd.core.Rolling.kurt)

Author: toobaz

pandas/core/window.py

@@ -924,27 +924,7 @@ def skew(self, **kwargs):
 
     Notes
     -----
-    A minimum of 4 periods is required for the rolling calculation.
-
-    Examples
-    --------
-    The below example will show a rolling calculation with a window size of
-    four matching the equivalent function call using `scipy.stats`.
-
-    >>> arr = [1, 2, 3, 4, 999]
-    >>> import scipy.stats
-    >>> print("{0:.6f}".format(scipy.stats.kurtosis(arr[:-1], bias=False)))
-    -1.200000
-    >>> print("{0:.6f}".format(scipy.stats.kurtosis(arr[1:], bias=False)))
-    3.999946
-    >>> s = pd.Series(arr)
-    >>> s.rolling(4).kurt()
-    0        NaN
-    1        NaN
-    2        NaN
-    3  -1.200000
-    4   3.999946
-    dtype: float64
+    A minimum of 4 periods is required for the %(name)s calculation.
     """)
 
     def kurt(self, **kwargs):
@@ -1266,6 +1246,30 @@ def var(self, ddof=1, *args, **kwargs):
     def skew(self, **kwargs):
         return super(Rolling, self).skew(**kwargs)
 
+    _agg_doc = dedent("""
+    Examples
+    --------
+
+    The example below will show a rolling calculation with a window size of
+    four matching the equivalent function call using `scipy.stats`.
+
+    >>> arr = [1, 2, 3, 4, 999]
+    >>> import scipy.stats
+    >>> print("{0:.6f}".format(scipy.stats.kurtosis(arr[:-1], bias=False)))
+    -1.200000
+    >>> print("{0:.6f}".format(scipy.stats.kurtosis(arr[1:], bias=False)))
+    3.999946
+    >>> s = pd.Series(arr)
+    >>> s.rolling(4).kurt()
+    0        NaN
+    1        NaN
+    2        NaN
+    3  -1.200000
+    4   3.999946
+    dtype: float64
+    """)
+
+    @Appender(_agg_doc)
     @Substitution(name='rolling')
     @Appender(_shared_docs['kurt'])
     def kurt(self, **kwargs):
@@ -1505,6 +1509,30 @@ def var(self, ddof=1, *args, **kwargs):
     def skew(self, **kwargs):
         return super(Expanding, self).skew(**kwargs)
 
+    _agg_doc = dedent("""
+    Examples
+    --------
+
+    The example below will show an expanding calculation with a window size of
+    four matching the equivalent function call using `scipy.stats`.
+
+    >>> arr = [1, 2, 3, 4, 999]
+    >>> import scipy.stats
+    >>> print("{0:.6f}".format(scipy.stats.kurtosis(arr[:-1], bias=False)))
+    -1.200000
+    >>> print("{0:.6f}".format(scipy.stats.kurtosis(arr, bias=False)))
+    4.999874
+    >>> s = pd.Series(arr)
+    >>> s.expanding(4).kurt()
+    0        NaN
+    1        NaN
+    2        NaN
+    3  -1.200000
+    4   4.999874
+    dtype: float64
+    """)
+
+    @Appender(_agg_doc)
     @Substitution(name='expanding')
     @Appender(_shared_docs['kurt'])
     def kurt(self, **kwargs):