From 026ae2d106fd328c719dda1db7b38901b467ae5b Mon Sep 17 00:00:00 2001
From: Srinivas Reddy Thatiparthy <thatiparthysreenivas@gmail.com>
Date: Mon, 2 Jan 2017 01:57:22 +0530
Subject: [PATCH 1/2] Add quantile shortcut

---
 pandas/core/groupby.py | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)

diff --git a/pandas/core/groupby.py b/pandas/core/groupby.py
index 7eba32b4932d0..7f50434354ee0 100644
--- a/pandas/core/groupby.py
+++ b/pandas/core/groupby.py
@@ -1024,6 +1024,22 @@ def mean(self, *args, **kwargs):
             f = lambda x: x.mean(axis=self.axis)
             return self._python_agg_general(f)
 
+    @Substitution(name='groupby')
+    @Appender(_doc_template)
+    def quantile(self, *args, **kwargs):
+        """
+        Compute quantile of groups, excluding missing values
+        """
+        nv.validate_groupby_func('quantile', args, kwargs)
+        try:
+            return self._cython_agg_general('quantile')
+        except GroupByError:
+            raise
+        except Exception:  # pragma: no cover
+            self._set_group_selection()
+            f = lambda x: x.quantile(axis=self.axis)
+            return self._python_agg_general(f)
+
     @Substitution(name='groupby')
     @Appender(_doc_template)
     def median(self):

From a3b713beffd1d78b7a3b80c3275410654cce30ca Mon Sep 17 00:00:00 2001
From: Srinivas Reddy Thatiparthy <thatiparthysreenivas@gmail.com>
Date: Mon, 2 Jan 2017 00:42:43 +0530
Subject: [PATCH 2/2] Add quantile shortcut

---
 pandas/tseries/resample.py | 17 +++++++++++++++++
 1 file changed, 17 insertions(+)

diff --git a/pandas/tseries/resample.py b/pandas/tseries/resample.py
index e6d500144fa44..4332b704c1c1e 100755
--- a/pandas/tseries/resample.py
+++ b/pandas/tseries/resample.py
@@ -329,6 +329,23 @@ def aggregate(self, arg, *args, **kwargs):
     agg = aggregate
     apply = aggregate
 
+    def quantile(self, arg, *args, **kwargs):
+        """
+        quantile method on resample - `resample(..).quantile(..)`
+        is a short-cut to `resample.agg(lambda x: x.quantile(0.75))`
+        Parameters
+        ----------
+        arg : lambda function
+
+        Examples
+        --------
+        >>> resampled.quantile(0.75)
+
+        Returns
+        -------
+        """
+        return self.agg(lambda x: x.quantile(arg), *args, **kwargs)
+
     def transform(self, arg, *args, **kwargs):
         """
         Call function producing a like-indexed Series on each group and return