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-rw-r--r--doc/neps/nep-0008-groupby_additions.rst18
1 files changed, 5 insertions, 13 deletions
diff --git a/doc/neps/nep-0008-groupby_additions.rst b/doc/neps/nep-0008-groupby_additions.rst
index a86bdd642..fa02f2f9c 100644
--- a/doc/neps/nep-0008-groupby_additions.rst
+++ b/doc/neps/nep-0008-groupby_additions.rst
@@ -5,6 +5,7 @@
:Author: Travis Oliphant
:Contact: oliphant@enthought.com
:Date: 2010-04-27
+:Status: Deferred
Executive summary
@@ -22,9 +23,9 @@ Example Use Case
================
Suppose you have a NumPy structured array containing information about
the number of purchases at several stores over multiple days. To be clear, the
-structured array data-type is:
+structured array data-type is::
-dt = [('year', i2), ('month', i1), ('day', i1), ('time', float),
+ dt = [('year', i2), ('month', i1), ('day', i1), ('time', float),
('store', i4), ('SKU', 'S6'), ('number', i4)]
Suppose there is a 1-d NumPy array of this data-type and you would like
@@ -98,14 +99,5 @@ reduceby::
Functions proposed
==================
-segment::
-
-
-edges::
-
-
-.. Local Variables:
-.. mode: rst
-.. coding: utf-8
-.. fill-column: 72
-.. End:
+- segment
+- edges