Record the rejection of PEP 265.
The requested functionality was largely fulfilled by Py2.4's sorted() function. See Guido's 6/17/2005 note on python-dev.
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@ -80,7 +80,6 @@ Index by Category
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S 256 Docstring Processing System Framework Goodger
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S 258 Docutils Design Specification Goodger
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SD 262 Database of Installed Python Packages Kuchling
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S 265 Sorting Dictionaries by Value Griffin
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S 266 Optimizing Global Variable/Attribute Access Montanaro
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S 267 Optimized Access to Module Namespaces Hylton
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S 268 Extended HTTP functionality and WebDAV Stein
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@ -200,6 +199,7 @@ Index by Category
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SR 242 Numeric Kinds Dubois
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SR 244 The `directive' Statement von Loewis
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SR 259 Omit printing newline after newline GvR
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SR 265 Sorting Dictionaries by Value Griffin
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SD 269 Pgen Module for Python Riehl
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SR 270 uniq method for list objects Petrone
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SR 271 Prefixing sys.path by command line option Giacometti
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@ -307,7 +307,7 @@ Numerical Index
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SD 262 Database of Installed Python Packages Kuchling
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SF 263 Defining Python Source Code Encodings Lemburg
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SF 264 Future statements in simulated shells Hudson
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S 265 Sorting Dictionaries by Value Griffin
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SR 265 Sorting Dictionaries by Value Griffin
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S 266 Optimizing Global Variable/Attribute Access Montanaro
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S 267 Optimized Access to Module Namespaces Hylton
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S 268 Extended HTTP functionality and WebDAV Stein
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21
pep-0265.txt
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pep-0265.txt
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@ -2,7 +2,7 @@ PEP: 265
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Title: Sorting Dictionaries by Value
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Version: $Revision$
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Author: g2@iowegian.com (Grant Griffin)
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Status: Draft
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Status: Rejected
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Type: Standards Track
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Created: 8-Aug-2001
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Python-Version: 2.2
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@ -17,6 +17,25 @@ Abstract
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both difficult for beginners to understand and cumbersome for all
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to implement.
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BDFL Pronouncement
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This PEP is rejected because the need for it has been largely
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fulfilled by Py2.4's sorted() builtin function:
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>>> sorted(d.iteritems(), key=itemgetter(1), reverse=True)
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[('b', 23), ('d', 17), ('c', 5), ('a', 2), ('e', 1)]
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or for just the keys:
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sorted(d, key=d.__getitem__, reverse=True)
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['b', 'd', 'c', 'a', 'e']
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Also, Python 2.5's heapq.nlargest() function addresses the common use
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case of finding only a few of the highest valued items:
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>>> nlargest(2, d.iteritems(), itemgetter(1))
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[('b', 23), ('d', 17)]
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Motivation
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