摘要:注本文的作者是。原文的地址为该笔记向你展示了编写不会过时的兼容和的代码风格。它是在的演讲,。基本语法差异为了打印出多个。方方和工具没有提供一个选项自动完成这个。如果你为了个项目编写新的代码库,你可以用一个字符模块标记所有的字符字面量。
注:本文的作者是 Ed Schofield。原文的地址为: Cheat Sheet: Writing Python 2-3 compatible code
该笔记向你展示了编写不会过时的兼容 Python 2 和 Python 3 的代码风格。
它是 Ed Schofield 在 PyCon AU 2014 的演讲,“ Writing 2/3 compatible code ”。
最低版本:
Python 2: 2.6+
Python 3: 3.3+
安装一些下面的 imports 适用于使用 pip 安装在 PyPI 上安装:
import future # pip install future import past # pip install past import six # pip install six
以下的脚本也适用于 pip 安装:
futurize # pip install futurize pasteurize # pip install pasteurize
查看 http://python-future.org 和 https://pythonhosted.org/six/ 获取更多消息。
基本语法差异print:
# Python 2 only: print "Hello"
# Python 2 and 3: print("Hello")
为了打印出多个 strings。 import print_function 来防止 Py2 把它解释成一个元组。
# Python 2 only: print "Hello", "Guido"
# Python 2 and 3: from __future__ import print_function # (at top of module) print("Hello", "Guido")
# Python 2 only: print >> sys.stderr, "Hello"
# Python 2 and 3: from __future__ import print_function print("Hello", file=sys.stderr)
# Python 2 only: print "Hello",
# Python 2 and 3: from __future__ import print_function print("Hello", end="")
抛出异常
# Python 2 only: raise ValueError, "dodgy value"
# Python 2 and 3: raise ValueError("dodgy value")
使用 traceback 抛出异常:
# Python 2 only: traceback = sys.exc_info()[2] raise ValueError, "dodgy value", traceback
# Python 3 only: raise ValueError("dodgy value").with_traceback()
# Python 2 and 3: option 1 from six import reraise as raise_ # or from future.utils import raise_ traceback = sys.exc_info()[2] raise_(ValueError, "dodgy value", traceback)
# Python 2 and 3: option 2 from future.utils import raise_with_traceback raise_with_traceback(ValueError("dodgy value"))
异常链 (PEP 3134):
# Setup: class DatabaseError(Exception): pass
# Python 3 only class FileDatabase: def __init__(self, filename): try: self.file = open(filename) except IOError as exc: raise DatabaseError("failed to open") from exc
# Python 2 and 3: from future.utils import raise_from class FileDatabase: def __init__(self, filename): try: self.file = open(filename) except IOError as exc: raise_from(DatabaseError("failed to open"), exc)
# Testing the above: try: fd = FileDatabase("non_existent_file.txt") except Exception as e: assert isinstance(e.__cause__, IOError) # FileNotFoundError on Py3.3+ inherits from IOError
捕获异常:
# Python 2 only: try: ... except ValueError, e: ...
# Python 2 and 3: try: ... except ValueError as e: ...
除法
整除(rounding down):
# Python 2 only: assert 2 / 3 == 0
# Python 2 and 3: assert 2 // 3 == 0
“True division” (float division):
# Python 3 only: assert 3 / 2 == 1.5
# Python 2 and 3: from __future__ import division # (at top of module) assert 3 / 2 == 1.5
“Old division” (i.e. compatible with Py2 behaviour):
# Python 2 only: a = b / c # with any types
# Python 2 and 3: from past.utils import old_div a = old_div(b, c) # always same as / on Py2
长整数
短整数在 Python 3 中已经去除了,并且 long 已经变成了 int(没有 L 在 repr 后面)
# Python 2 only k = 9223372036854775808L # Python 2 and 3: k = 9223372036854775808
# Python 2 only bigint = 1L # Python 2 and 3 from future.builtins import int bigint = int(1)
为了测试一个值是否是整数(任何类型):
# Python 2 only: if isinstance(x, (int, long)): ... # Python 3 only: if isinstance(x, int): ... # Python 2 and 3: option 1 from future.builtins import int # subclass of long on Py2 if isinstance(x, int): # matches both int and long on Py2 ... # Python 2 and 3: option 2 from past.builtins import long if isinstance(x, (int, long)): ...
八进制常量
0644 # Python 2 only
0o644 # Python 2 and 3
Backtick repr
`x` # Python 2 only
repr(x) # Python 2 and 3
元类
class BaseForm(object): pass class FormType(type): pass
# Python 2 only: class Form(BaseForm): __metaclass__ = FormType pass
# Python 3 only: class Form(BaseForm, metaclass=FormType): pass
# Python 2 and 3: from six import with_metaclass # or from future.utils import with_metaclass class Form(with_metaclass(FormType, BaseForm)): passStrings 和 bytes
Unicode(text) 字符字面量
如果你更新一个已经存在的 Python 2 的代码库,为所有的字符字面量使用 u 做前缀作为 unicode 的标记可能会更好。
# Python 2 only s1 = "The Zen of Python" s2 = u"きたないのよりきれいな方がいい " # Python 2 and 3 s1 = u"The Zen of Python" s2 = u"きたないのよりきれいな方がいい "
futurize 和 python-modernize 工具没有提供一个选项自动完成这个。
如果你为了个项目编写新的代码库,你可以用一个 unicode 字符模块标记所有的字符字面量。
# Python 2 and 3 from __future__ import unicode_literals # at top of module s1 = "The Zen of Python" s2 = "きたないのよりきれいな方がいい "
查看 http://python-future.org/unicode_literals.html 这里获取更多的关于讨论使用哪种风格的讨论。
字节-字符 字面量
# Python 2 only s = "This must be a byte-string" # Python 2 and 3 s = b"This must be a byte-string"
To loop over a byte-string with possible high-bit characters, obtaining each character as a byte-string of length 1:
# Python 2 only: for bytechar in "byte-string with high-bit chars like xf9": ... # Python 3 only: for myint in b"byte-string with high-bit chars like xf9": bytechar = bytes([myint]) # Python 2 and 3: from future.builtins import bytes for myint in bytes(b"byte-string with high-bit chars like xf9"): bytechar = bytes([myint])
chr() 和 .encode("latin-1") 其中的任何一个都可以用于把一个 int 转换成一个 1-char byte string
# Python 3 only: for myint in b"byte-string with high-bit chars like xf9": char = chr(myint) # returns a unicode string bytechar = char.encode("latin-1") # Python 2 and 3: from future.builtins import bytes, chr for myint in bytes(b"byte-string with high-bit chars like xf9"): char = chr(myint) # returns a unicode string bytechar = char.encode("latin-1") # forces returning a byte str
basestring
# Python 2 only: a = u"abc" b = "def" assert (isinstance(a, basestring) and isinstance(b, basestring)) # Python 2 and 3: alternative 1 from past.builtins import basestring # pip install future a = u"abc" b = b"def" assert (isinstance(a, basestring) and isinstance(b, basestring))
# Python 2 and 3: alternative 2: refactor the code to avoid considering # byte-strings as strings. from future.builtins import str a = u"abc" b = b"def" c = b.decode() assert isinstance(a, str) and isinstance(c, str) # ...
unicode
# Python 2 only: templates = [u"blog/blog_post_detail_%s.html" % unicode(slug)]
# Python 2 and 3: alternative 1 from future.builtins import str templates = [u"blog/blog_post_detail_%s.html" % str(slug)]
# Python 2 and 3: alternative 2 from future.builtins import str as text templates = [u"blog/blog_post_detail_%s.html" % text(slug)]
StringIO
# Python 2 only: from StringIO import StringIO # or: from cStringIO import StringIO # Python 2 and 3: from io import BytesIO # for handling byte strings from io import StringIO # for handling unicode stringsImports relative to a package
假设包的结构是这样的:
mypackage/ __init__.py submodule1.py submodule2.py
submodule1.py 的代码如下:
# Python 2 only: import submodule2
# Python 2 and 3: from . import submodule2
# Python 2 and 3: # To make Py2 code safer (more like Py3) by preventing # implicit relative imports, you can also add this to the top: from __future__ import absolute_import字典
heights = {"Fred": 175, "Anne": 166, "Joe": 192}
Iterating through dict keys/values/items
迭代字典的键:
# Python 2 only: for key in heights.iterkeys(): ...
# Python 2 and 3: for key in heights: ...
迭代字典的值:
# Python 2 only: for value in heights.itervalues(): ...
# Idiomatic Python 3 for value in heights.values(): # extra memory overhead on Py2 ...
# Python 2 and 3: option 1 from future.builtins import dict heights = dict(Fred=175, Anne=166, Joe=192) for key in heights.values(): # efficient on Py2 and Py3 ...
# Python 2 and 3: option 2 from future.builtins import itervalues # or from six import itervalues for key in itervalues(heights): ...
迭代字典元素:
# Python 2 only: for (key, value) in heights.iteritems(): ...
# Python 2 and 3: option 1 for (key, value) in heights.items(): # inefficient on Py2 ...
# Python 2 and 3: option 2 from future.builtins import iteritems # or from six import iteritems for (key, value) in iteritems(heights): ...
字典的键/值/元素 作为一个列表
字典的键作为一个列表:
# Python 2 only: keylist = heights.keys() assert isinstance(keylist, list)
# Python 2 and 3: keylist = list(heights) assert isinstance(keylist, list)
字典的值作为一个列表:
# Python 2 only: heights = {"Fred": 175, "Anne": 166, "Joe": 192} valuelist = heights.values() assert isinstance(valuelist, list)
# Python 2 and 3: option 1 valuelist = list(heights.values()) # inefficient on Py2
# Python 2 and 3: option 2 from future.builtins import dict heights = dict(Fred=175, Anne=166, Joe=192) valuelist = list(heights.values())
# Python 2 and 3: option 3 from future.utils import listvalues valuelist = listvalues(heights)
# Python 2 and 3: option 4 from future.utils import itervalues # or from six import itervalues valuelist = list(itervalues(heights))
字典元素作为一个列表:
# Python 2 and 3: option 1 itemlist = list(heights.items()) # inefficient on Py2
# Python 2 and 3: option 2 from future.utils import listitems itemlist = listitems(heights)
# Python 2 and 3: option 3 from future.utils import iteritems # or from six import iteritems itemlist = list(iteritems(heights))自定义类的行为
自定义迭代器:
# Python 2 only class Upper(object): def __init__(self, iterable): self._iter = iter(iterable) def next(self): # Py2-style return self._iter.next().upper() def __iter__(self): return self itr = Upper("hello") assert itr.next() == "H" # Py2-style assert list(itr) == list("ELLO")
# Python 2 and 3: option 1 from future.builtins import object class Upper(object): def __init__(self, iterable): self._iter = iter(iterable) def __next__(self): # Py3-style iterator interface return next(self._iter).upper() # builtin next() function calls def __iter__(self): return self itr = Upper("hello") assert next(itr) == "H" # compatible style assert list(itr) == list("ELLO")
# Python 2 and 3: option 2 from future.utils import implements_iterator @implements_iterator class Upper(object): def __init__(self, iterable): self._iter = iter(iterable) def __next__(self): # Py3-style iterator interface return next(self._iter).upper() # builtin next() function calls def __iter__(self): return self itr = Upper("hello") assert next(itr) == "H" assert list(itr) == list("ELLO")
自定义 __str__ 方法
# Python 2 only: class MyClass(object): def __unicode__(self): return "Unicode string: u5b54u5b50" def __str__(self): return unicode(self).encode("utf-8") a = MyClass() print(a) # prints encoded string
# Python 2 and 3: from future.utils import python_2_unicode_compatible @python_2_unicode_compatible class MyClass(object): def __str__(self): return u"Unicode string: u5b54u5b50" a = MyClass() print(a) # prints string encoded as utf-8 on Py2
Unicode string: 孔子
自定义 __nonzero__ 对比 __bool__ 方法:
# Python 2 only: class AllOrNothing(object): def __init__(self, l): self.l = l def __nonzero__(self): return all(self.l) container = AllOrNothing([0, 100, 200]) assert not bool(container)
# Python 2 and 3: from future.builtins import object class AllOrNothing(object): def __init__(self, l): self.l = l def __bool__(self): return all(self.l) container = AllOrNothing([0, 100, 200]) assert not bool(container)列表对迭代器
xrange:
# Python 2 only: for i in xrange(10**8): ...
# Python 2 and 3: forward-compatible from future.builtins import range for i in range(10**8): ...
# Python 2 and 3: backward-compatible from past.builtins import xrange for i in xrange(10**8): ...
range:
# Python 2 only mylist = range(5) assert mylist == [0, 1, 2, 3, 4]
# Python 2 and 3: forward-compatible: option 1 mylist = list(range(5)) # copies memory on Py2 assert mylist == [0, 1, 2, 3, 4]
# Python 2 and 3: forward-compatible: option 2 from future.builtins import range mylist = list(range(5)) assert mylist == [0, 1, 2, 3, 4]
# Python 2 and 3: option 3 from future.utils import lrange mylist = lrange(5) assert mylist == [0, 1, 2, 3, 4]
# Python 2 and 3: backward compatible from past.builtins import range mylist = range(5) assert mylist == [0, 1, 2, 3, 4]
map:
# Python 2 only: mynewlist = map(f, myoldlist) assert mynewlist == [f(x) for x in myoldlist]
# Python 2 and 3: option 1 # Idiomatic Py3, but inefficient on Py2 mynewlist = list(map(f, myoldlist)) assert mynewlist == [f(x) for x in myoldlist]
# Python 2 and 3: option 2 from future.builtins import map mynewlist = list(map(f, myoldlist)) assert mynewlist == [f(x) for x in myoldlist]
# Python 2 and 3: option 3 try: import itertools.imap as map except ImportError: pass mynewlist = list(map(f, myoldlist)) # inefficient on Py2 assert mynewlist == [f(x) for x in myoldlist]
# Python 2 and 3: option 4 from future.utils import lmap mynewlist = lmap(f, myoldlist) assert mynewlist == [f(x) for x in myoldlist]
# Python 2 and 3: option 5 from past.builtins import map mynewlist = map(f, myoldlist) assert mynewlist == [f(x) for x in myoldlist]
imap:
# Python 2 only: from itertools import imap myiter = imap(func, myoldlist) assert isinstance(myiter, iter)
# Python 3 only: myiter = map(func, myoldlist) assert isinstance(myiter, iter)
# Python 2 and 3: option 1 from future.builtins import map myiter = map(func, myoldlist) assert isinstance(myiter, iter)
# Python 2 and 3: option 2 try: import itertools.imap as map except ImportError: pass myiter = map(func, myoldlist) assert isinstance(myiter, iter)
zip, izip
As above with zip and itertools.izip.
filter, ifilter
As above with filter and itertools.ifilter too
其他内建函数File IO with open():
# Python 2 only f = open("myfile.txt") data = f.read() # as a byte string text = data.decode("utf-8") # Python 2 and 3: alternative 1 from io import open f = open("myfile.txt", "rb") data = f.read() # as bytes text = data.decode("utf-8") # unicode, not bytes # Python 2 and 3: alternative 2 from io import open f = open("myfile.txt", encoding="utf-8") text = f.read() # unicode, not bytes
reduce()
# Python 2 only: assert reduce(lambda x, y: x+y, [1, 2, 3, 4, 5]) == 1+2+3+4+5
# Python 2 and 3: from functools import reduce assert reduce(lambda x, y: x+y, [1, 2, 3, 4, 5]) == 1+2+3+4+5
raw_input()
# Python 2 only: name = raw_input("What is your name? ") assert isinstance(name, str) # native str
# Python 2 and 3: from future.builtins import input name = input("What is your name? ") assert isinstance(name, str) # native str on Py2 and Py3
input()
# Python 2 only: input("Type something safe please: ")
# Python 2 and 3 from future.builtins import input eval(input("Type something safe please: "))
警告:使用上面任何一个都是不安全的
file()
# Python 2 only: f = file(pathname)
# Python 2 and 3: f = open(pathname) # But preferably, use this: from io import open f = open(pathname, "rb") # if f.read() should return bytes # or f = open(pathname, "rt") # if f.read() should return unicode text
execfile()
# Python 2 only: execfile("myfile.py")
# Python 2 and 3: alternative 1 from past.builtins import execfile execfile("myfile.py")
# Python 2 and 3: alternative 2 exec(compile(open("myfile.py").read())) # This can sometimes cause this: # SyntaxError: function ... uses import * and bare exec ... # See https://github.com/PythonCharmers/python-future/issues/37
unichr()
# Python 2 only: assert unichr(8364) == "€"
# Python 3 only: assert chr(8364) == "€"
# Python 2 and 3: from future.builtins import chr assert chr(8364) == "€"
intern()
# Python 2 only: intern("mystring")
# Python 3 only: from sys import intern intern("mystring")
# Python 2 and 3: alternative 1 from past.builtins import intern intern("mystring")
# Python 2 and 3: alternative 2 try: from sys import intern except ImportError: pass intern("mystring")
apply()
args = ("a", "b") kwargs = {"kwarg1": True}
# Python 2 only: apply(f, args, kwargs)
# Python 2 and 3: alternative 1 f(*args, **kwargs)
# Python 2 and 3: alternative 2 from past.builtins import apply apply(f, args, kwargs)
chr()
# Python 2 only: assert chr(64) == b"@" assert chr(200) == b"xc8"
# Python 3 only: option 1 assert chr(64).encode("latin-1") == b"@" assert chr(0xc8).encode("latin-1") == b"xc8"
# Python 2 and 3: option 1 from future.builtins import chr assert chr(64).encode("latin-1") == b"@" assert chr(0xc8).encode("latin-1") == b"xc8"
# Python 3 only: option 2 assert bytes([64]) == b"@" assert bytes([0xc8]) == b"xc8"
# Python 2 and 3: option 2 from future.builtins import bytes assert bytes([64]) == b"@" assert bytes([0xc8]) == b"xc8"
cmp()
# Python 2 only: assert cmp("a", "b") < 0 and cmp("b", "a") > 0 and cmp("c", "c") == 0
# Python 2 and 3: alternative 1 from past.builtins import cmp assert cmp("a", "b") < 0 and cmp("b", "a") > 0 and cmp("c", "c") == 0
# Python 2 and 3: alternative 2 cmp = lambda(x, y): (x > y) - (x < y) assert cmp("a", "b") < 0 and cmp("b", "a") > 0 and cmp("c", "c") == 0
reload()
# Python 2 only: reload(mymodule)
# Python 2 and 3 from imp import reload reload(mymodule)标准库
StringIO 模块
# Python 2 only from StringIO import StringIO from cStringIO import StringIO
# Python 2 and 3 from io import BytesIO # and refactor StringIO() calls to BytesIO() if passing byte-strings
http 模块
# Python 2 only: import httplib import Cookie import cookielib import BaseHTTPServer import SimpleHTTPServer import CGIHttpServer # Python 2 and 3: from future.standard_library import hooks with hooks(): import http.client import http.cookies import http.cookiejar import http.server
urllib 模块
这个使用 urllib 的示例,相同的模式也适用于其他的已经移除的模块(一个完整的列表 http://python-future.org/standard_library_imports.html#list-of-standard-library-modules )
# Python 2 only: from urlparse import urlparse from urllib import urlencode
# Python 3 only: from urllib.parse import urlparse, urlencode
# Python 2 and 3: alternative 1 from future.standard_library import hooks with hooks(): from urllib.parse import urlparse, urlencode
# Python 2 and 3: alternative 2 from future.moves.urllib.parse import urlparse, urlencode # or from six.moves.urllib.parse import urlparse, urlencode
# Python 2 and 3: alternative 3 try: from urllib.parse import urlparse, urlencode except ImportError: from urlparse import urlparse from urllib import urlencode
文章版权归作者所有,未经允许请勿转载,若此文章存在违规行为,您可以联系管理员删除。
转载请注明本文地址:https://www.ucloud.cn/yun/37336.html
摘要:年月宣布支持时间延长到年。更详细的发布列表参阅官网的版本号分为三段,形如。其中表示大版本号,一般当整体重写,或出现不向后兼容的改变时,增加表示功能更新,出现新功能时增加表示小的改动如修复了某个,只要有修改就增加。年公司正式发布。 < 返回索引页 Python语言简介 Python介绍及发展 介绍 Python 官方网站:https://www.python.org/, 大家可以到此处下...
摘要:如果需要在二元运算符周围做换行操作,例如和,那么需要将换行操作放在前面,这条规则源于数学,数学家同意在二元运算符之前换行以可提高可读性,比较以下两个例子。在二元运算符之前换行可以让代码更加具有可读性,所鼓励这种方式。 原文地址:How to Write Beautiful Python Code With PEP 8 作者:Jasmine Finer 翻译:howie6879 ...
摘要:作者宋天龙来源科技大本营导语一切都始于年的那个圣诞节,的诞生并不算恰逢其时,它崛起充满了机遇巧合,也有其必然性。年的圣诞节,开始编写语言的编译器。年发布的标志着的框架基本确定。年月发布了系列的最后一个版本,主版本号为。 showImg(https://segmentfault.com/img/remote/1460000019862276); 作者 | 宋天龙来源 | AI科技大本营 ...
摘要:编程基础要学习如何用进行数据分析,数据分析师建议第一步是要了解一些的编程基础,知道的数据结构,什么是向量列表数组字典等等了解的各种函数及模块。数据分析师认为数据分析有的工作都在处理数据。 showImg(https://segmentfault.com/img/bVbnbZo?w=1024&h=653); 本文为CDA数据分析研究院原创作品,转载需授权 1.为什么选择Python进行数...
摘要:首发于我的博客线程池进程池网络编程之同步异步阻塞非阻塞后端掘金本文为作者原创,转载请先与作者联系。在了解的数据结构时,容器可迭代对象迭代器使用进行并发编程篇二掘金我们今天继续深入学习。 Python 算法实战系列之栈 - 后端 - 掘金原文出处: 安生 栈(stack)又称之为堆栈是一个特殊的有序表,其插入和删除操作都在栈顶进行操作,并且按照先进后出,后进先出的规则进行运作。 如...
阅读 2031·2021-10-11 10:59
阅读 890·2021-09-23 11:21
阅读 3489·2021-09-06 15:02
阅读 1577·2021-08-19 10:25
阅读 3299·2021-07-30 11:59
阅读 2334·2019-08-30 11:27
阅读 2510·2019-08-30 11:20
阅读 2940·2019-08-29 13:15