我正在尝试在Python 2.6.1中打印一个整数,并以逗号作为千位分隔符。例如,我要将数字显示1234567
为1,234,567
。我将如何去做呢?我在Google上看到了很多示例,但我正在寻找最简单的实用方法。
在句点和逗号之间进行决定不需要特定于区域设置。我希望尽可能简单一些。
我正在尝试在Python 2.6.1中打印一个整数,并以逗号作为千位分隔符。例如,我要将数字显示1234567
为1,234,567
。我将如何去做呢?我在Google上看到了很多示例,但我正在寻找最简单的实用方法。
在句点和逗号之间进行决定不需要特定于区域设置。我希望尽可能简单一些。
Answers:
'{:,}'.format(value) # For Python ≥2.7
f'{value:,}' # For Python ≥3.6
import locale
locale.setlocale(locale.LC_ALL, '') # Use '' for auto, or force e.g. to 'en_US.UTF-8'
'{:n}'.format(value) # For Python ≥2.7
f'{value:n}' # For Python ≥3.6
每种格式规格的迷你语言,
该
','
选项表示千位分隔符使用逗号。对于可识别语言环境的分隔符,请改用'n'
整数表示类型。
{val:,}.format(val=val)
f"{2 ** 64 - 1:,}"
我得到这个工作:
>>> import locale
>>> locale.setlocale(locale.LC_ALL, 'en_US')
'en_US'
>>> locale.format("%d", 1255000, grouping=True)
'1,255,000'
当然,您不需要国际化支持,但它清晰,简洁并且使用内置库。
PS“%d”是通常的%样式格式化程序。您只能有一个格式化程序,但是就字段宽度和精度设置而言,它可以是您所需的任何格式。
PPS如果您无法locale
上班,建议您修改Mark的答案:
def intWithCommas(x):
if type(x) not in [type(0), type(0L)]:
raise TypeError("Parameter must be an integer.")
if x < 0:
return '-' + intWithCommas(-x)
result = ''
while x >= 1000:
x, r = divmod(x, 1000)
result = ",%03d%s" % (r, result)
return "%d%s" % (x, result)
递归对于否定情况很有用,但是每个逗号一次递归对我来说似乎有点多余。
locale
,我会尽可能少地使用它。
setlocale
来使用默认值,希望它是合适的。
由于效率低下和可读性差,很难克服:
>>> import itertools
>>> s = '-1234567'
>>> ','.join(["%s%s%s" % (x[0], x[1] or '', x[2] or '') for x in itertools.izip_longest(s[::-1][::3], s[::-1][1::3], s[::-1][2::3])])[::-1].replace('-,','-')
lambda x: (lambda s: ','.join(["%s%s%s" % (x[0], x[1] or '', x[2] or '') for x in itertools.izip_longest(s[::-1][::3], s[::-1][1::3], s[::-1][2::3])])[::-1].replace('-,','-'))(str(x))
保持混淆主题。
在删除无关部分并对其进行一些清理之后,这是区域设置代码:
(以下仅适用于整数)
def group(number):
s = '%d' % number
groups = []
while s and s[-1].isdigit():
groups.append(s[-3:])
s = s[:-3]
return s + ','.join(reversed(groups))
>>> group(-23432432434.34)
'-23,432,432,434'
这里已经有一些不错的答案。我只想添加此内容以供将来参考。在python 2.7中,将有一个用于千位分隔符的格式说明符。根据python文档,它像这样工作
>>> '{:20,.2f}'.format(f)
'18,446,744,073,709,551,616.00'
在python3.1中,您可以执行以下操作:
>>> format(1234567, ',d')
'1,234,567'
这是单行正则表达式替换:
re.sub("(\d)(?=(\d{3})+(?!\d))", r"\1,", "%d" % val)
仅适用于非正式输出:
import re
val = 1234567890
re.sub("(\d)(?=(\d{3})+(?!\d))", r"\1,", "%d" % val)
# Returns: '1,234,567,890'
val = 1234567890.1234567890
# Returns: '1,234,567,890'
或对于少于4位数字的浮点数,将格式说明符更改为%.3f
:
re.sub("(\d)(?=(\d{3})+(?!\d))", r"\1,", "%.3f" % val)
# Returns: '1,234,567,890.123'
注意:超过三位的小数位数无法正常工作,因为它将尝试对小数部分进行分组:
re.sub("(\d)(?=(\d{3})+(?!\d))", r"\1,", "%.5f" % val)
# Returns: '1,234,567,890.12,346'
让我们分解一下:
re.sub(pattern, repl, string)
pattern = \
"(\d) # Find one digit...
(?= # that is followed by...
(\d{3})+ # one or more groups of three digits...
(?!\d) # which are not followed by any more digits.
)",
repl = \
r"\1,", # Replace that one digit by itself, followed by a comma,
# and continue looking for more matches later in the string.
# (re.sub() replaces all matches it finds in the input)
string = \
"%d" % val # Format the string as a decimal to begin with
您也可以将其'{:n}'.format( value )
用于语言环境。我认为这是语言环境解决方案的最简单方法。
有关更多信息,请thousands
在Python DOC中搜索。
对于货币,您可以使用locale.currency
,设置标志grouping
:
码
import locale
locale.setlocale( locale.LC_ALL, '' )
locale.currency( 1234567.89, grouping = True )
输出量
'Portuguese_Brazil.1252'
'R$ 1.234.567,89'
稍微扩大Ian Schneider的答案:
如果要使用自定义的千位分隔符,最简单的解决方案是:
'{:,}'.format(value).replace(',', your_custom_thousands_separator)
'{:,.2f}'.format(123456789.012345).replace(',', ' ')
如果要这样的德语表示形式,它将变得更加复杂:
('{:,.2f}'.format(123456789.012345)
.replace(',', ' ') # 'save' the thousands separators
.replace('.', ',') # dot to comma
.replace(' ', '.')) # thousand separators to dot
'{:_.2f}'.format(12345.6789).replace('.', ',').replace('_', '.')
我确定必须有一个标准的库函数,但是尝试自己使用递归编写它很有趣,所以这是我想出的:
def intToStringWithCommas(x):
if type(x) is not int and type(x) is not long:
raise TypeError("Not an integer!")
if x < 0:
return '-' + intToStringWithCommas(-x)
elif x < 1000:
return str(x)
else:
return intToStringWithCommas(x / 1000) + ',' + '%03d' % (x % 1000)
话虽如此,如果其他人确实找到了一种标准方法,则应该改用该方法。
-
整数(不带小数):
"{:,d}".format(1234567)
-
浮点数(带小数):
"{:,.2f}".format(1234567)
前面的数字f
指定小数位数。
-
奖金
印度十万/克劳斯编号系统的快速启动器功能(12,34,567):
从Python 2.6版开始,您可以执行以下操作:
def format_builtin(n):
return format(n, ',')
对于2.6以下的Python版本,仅供参考,这里有2个手动解决方案,它们将浮点数转换为整数,但是负数可以正常工作:
def format_number_using_lists(number):
string = '%d' % number
result_list = list(string)
indexes = range(len(string))
for index in indexes[::-3][1:]:
if result_list[index] != '-':
result_list.insert(index+1, ',')
return ''.join(result_list)
这里需要注意的几件事:
还有一个更核心的版本:
def format_number_using_generators_and_list_comprehensions(number):
string = '%d' % number
generator = reversed(
[
value+',' if (index!=0 and value!='-' and index%3==0) else value
for index,value in enumerate(reversed(string))
]
)
return ''.join(generator)
我是Python初学者,但是经验丰富的程序员。我有Python 3.5,所以我只能使用逗号,但这仍然是一个有趣的编程练习。考虑无符号整数的情况。添加数千个分隔符的最易读的Python程序似乎是:
def add_commas(instr):
out = [instr[0]]
for i in range(1, len(instr)):
if (len(instr) - i) % 3 == 0:
out.append(',')
out.append(instr[i])
return ''.join(out)
也可以使用列表理解:
add_commas(instr):
rng = reversed(range(1, len(instr) + (len(instr) - 1)//3 + 1))
out = [',' if j%4 == 0 else instr[-(j - j//4)] for j in rng]
return ''.join(out)
它比较短,可能只有一个衬里,但是您必须进行一些心理体操才能理解它的工作原理。在这两种情况下,我们得到:
for i in range(1, 11):
instr = '1234567890'[:i]
print(instr, add_commas(instr))
1 1
12 12
123 123
1234 1,234
12345 12,345
123456 123,456
1234567 1,234,567
12345678 12,345,678
123456789 123,456,789
1234567890 1,234,567,890
如果您想了解该程序,则第一个版本是更明智的选择。
这也是一种适用于浮点数的方法:
def float2comma(f):
s = str(abs(f)) # Convert to a string
decimalposition = s.find(".") # Look for decimal point
if decimalposition == -1:
decimalposition = len(s) # If no decimal, then just work from the end
out = ""
for i in range(decimalposition+1, len(s)): # do the decimal
if not (i-decimalposition-1) % 3 and i-decimalposition-1: out = out+","
out = out+s[i]
if len(out):
out = "."+out # add the decimal point if necessary
for i in range(decimalposition-1,-1,-1): # working backwards from decimal point
if not (decimalposition-i-1) % 3 and decimalposition-i-1: out = ","+out
out = s[i]+out
if f < 0:
out = "-"+out
return out
用法示例:
>>> float2comma(10000.1111)
'10,000.111,1'
>>> float2comma(656565.122)
'656,565.122'
>>> float2comma(-656565.122)
'-656,565.122'
float2comma(12031023.1323)
回报:'12,031,023.132,3'
我在上一个投票最高的答案中发现了点分隔符的一些问题。我设计了一个通用解决方案,您可以在不修改语言环境的情况下将任何内容用作千位分隔符。我知道这不是最优雅的解决方案,但可以完成工作。随时进行改进!
def format_integer(number, thousand_separator='.'):
def reverse(string):
string = "".join(reversed(string))
return string
s = reverse(str(number))
count = 0
result = ''
for char in s:
count = count + 1
if count % 3 == 0:
if len(s) == count:
result = char + result
else:
result = thousand_separator + char + result
else:
result = char + result
return result
print(format_integer(50))
# 50
print(format_integer(500))
# 500
print(format_integer(50000))
# 50.000
print(format_integer(50000000))
# 50.000.000
这与逗号一起赚钱
def format_money(money, presym='$', postsym=''):
fmt = '%0.2f' % money
dot = string.find(fmt, '.')
ret = []
if money < 0 :
ret.append('(')
p0 = 1
else :
p0 = 0
ret.append(presym)
p1 = (dot-p0) % 3 + p0
while True :
ret.append(fmt[p0:p1])
if p1 == dot : break
ret.append(',')
p0 = p1
p1 += 3
ret.append(fmt[dot:]) # decimals
ret.append(postsym)
if money < 0 : ret.append(')')
return ''.join(ret)
我有此代码的python 2和python 3版本。我知道这个问题是针对python 2提出的,但是现在(8年后,大声笑)人们可能会使用python3。Python
3代码:
import random
number = str(random.randint(1, 10000000))
comma_placement = 4
print('The original number is: {}. '.format(number))
while True:
if len(number) % 3 == 0:
for i in range(0, len(number) // 3 - 1):
number = number[0:len(number) - comma_placement + 1] + ',' + number[len(number) - comma_placement + 1:]
comma_placement = comma_placement + 4
else:
for i in range(0, len(number) // 3):
number = number[0:len(number) - comma_placement + 1] + ',' + number[len(number) - comma_placement + 1:]
break
print('The new and improved number is: {}'.format(number))
Python 2代码:(编辑。python2代码无法正常工作。我认为语法是不同的)。
import random
number = str(random.randint(1, 10000000))
comma_placement = 4
print 'The original number is: %s.' % (number)
while True:
if len(number) % 3 == 0:
for i in range(0, len(number) // 3 - 1):
number = number[0:len(number) - comma_placement + 1] + ',' + number[len(number) - comma_placement + 1:]
comma_placement = comma_placement + 4
else:
for i in range(0, len(number) // 3):
number = number[0:len(number) - comma_placement + 1] + ',' + number[len(number) - comma_placement + 1:]
break
print 'The new and improved number is: %s.' % (number)
我正在使用python 2.5,因此无法访问内置格式。
我查看了Django代码intcomma(下面的代码中的intcomma_recurs),发现它效率低下,因为它是递归的,并且每次运行时都编译正则表达式也不是一件好事。这不是必需的“问题”,因为django并不是真的专注于这种低级性能。另外,我期望性能差异达到10倍,但仅慢3倍。
出于好奇,我实现了一些intcomma版本,以查看使用正则表达式时的性能优势。我的测试数据总结出此任务有一点优势,但令人惊讶的是根本没有优势。
我也很高兴看到我所怀疑的:在无正则表达式的情况下,不需要使用反向xrange方法,但这确实使代码看起来更好一点,但性能却降低了10%。
另外,我假设您要传递的是一个字符串,看起来有点像一个数字。否则结果不确定。
from __future__ import with_statement
from contextlib import contextmanager
import re,time
re_first_num = re.compile(r"\d")
def intcomma_noregex(value):
end_offset, start_digit, period = len(value),re_first_num.search(value).start(),value.rfind('.')
if period == -1:
period=end_offset
segments,_from_index,leftover = [],0,(period-start_digit) % 3
for _index in xrange(start_digit+3 if not leftover else start_digit+leftover,period,3):
segments.append(value[_from_index:_index])
_from_index=_index
if not segments:
return value
segments.append(value[_from_index:])
return ','.join(segments)
def intcomma_noregex_reversed(value):
end_offset, start_digit, period = len(value),re_first_num.search(value).start(),value.rfind('.')
if period == -1:
period=end_offset
_from_index,segments = end_offset,[]
for _index in xrange(period-3,start_digit,-3):
segments.append(value[_index:_from_index])
_from_index=_index
if not segments:
return value
segments.append(value[:_from_index])
return ','.join(reversed(segments))
re_3digits = re.compile(r'(?<=\d)\d{3}(?!\d)')
def intcomma(value):
segments,last_endoffset=[],len(value)
while last_endoffset > 3:
digit_group = re_3digits.search(value,0,last_endoffset)
if not digit_group:
break
segments.append(value[digit_group.start():last_endoffset])
last_endoffset=digit_group.start()
if not segments:
return value
if last_endoffset:
segments.append(value[:last_endoffset])
return ','.join(reversed(segments))
def intcomma_recurs(value):
"""
Converts an integer to a string containing commas every three digits.
For example, 3000 becomes '3,000' and 45000 becomes '45,000'.
"""
new = re.sub("^(-?\d+)(\d{3})", '\g<1>,\g<2>', str(value))
if value == new:
return new
else:
return intcomma(new)
@contextmanager
def timed(save_time_func):
begin=time.time()
try:
yield
finally:
save_time_func(time.time()-begin)
def testset_xsimple(func):
func('5')
def testset_simple(func):
func('567')
def testset_onecomma(func):
func('567890')
def testset_complex(func):
func('-1234567.024')
def testset_average(func):
func('-1234567.024')
func('567')
func('5674')
if __name__ == '__main__':
print 'Test results:'
for test_data in ('5','567','1234','1234.56','-253892.045'):
for func in (intcomma,intcomma_noregex,intcomma_noregex_reversed,intcomma_recurs):
print func.__name__,test_data,func(test_data)
times=[]
def overhead(x):
pass
for test_run in xrange(1,4):
for func in (intcomma,intcomma_noregex,intcomma_noregex_reversed,intcomma_recurs,overhead):
for testset in (testset_xsimple,testset_simple,testset_onecomma,testset_complex,testset_average):
for x in xrange(1000): # prime the test
testset(func)
with timed(lambda x:times.append(((test_run,func,testset),x))):
for x in xrange(50000):
testset(func)
for (test_run,func,testset),_delta in times:
print test_run,func.__name__,testset.__name__,_delta
这是测试结果:
intcomma 5 5
intcomma_noregex 5 5
intcomma_noregex_reversed 5 5
intcomma_recurs 5 5
intcomma 567 567
intcomma_noregex 567 567
intcomma_noregex_reversed 567 567
intcomma_recurs 567 567
intcomma 1234 1,234
intcomma_noregex 1234 1,234
intcomma_noregex_reversed 1234 1,234
intcomma_recurs 1234 1,234
intcomma 1234.56 1,234.56
intcomma_noregex 1234.56 1,234.56
intcomma_noregex_reversed 1234.56 1,234.56
intcomma_recurs 1234.56 1,234.56
intcomma -253892.045 -253,892.045
intcomma_noregex -253892.045 -253,892.045
intcomma_noregex_reversed -253892.045 -253,892.045
intcomma_recurs -253892.045 -253,892.045
1 intcomma testset_xsimple 0.0410001277924
1 intcomma testset_simple 0.0369999408722
1 intcomma testset_onecomma 0.213000059128
1 intcomma testset_complex 0.296000003815
1 intcomma testset_average 0.503000020981
1 intcomma_noregex testset_xsimple 0.134000062943
1 intcomma_noregex testset_simple 0.134999990463
1 intcomma_noregex testset_onecomma 0.190999984741
1 intcomma_noregex testset_complex 0.209000110626
1 intcomma_noregex testset_average 0.513000011444
1 intcomma_noregex_reversed testset_xsimple 0.124000072479
1 intcomma_noregex_reversed testset_simple 0.12700009346
1 intcomma_noregex_reversed testset_onecomma 0.230000019073
1 intcomma_noregex_reversed testset_complex 0.236999988556
1 intcomma_noregex_reversed testset_average 0.56299996376
1 intcomma_recurs testset_xsimple 0.348000049591
1 intcomma_recurs testset_simple 0.34600019455
1 intcomma_recurs testset_onecomma 0.625
1 intcomma_recurs testset_complex 0.773999929428
1 intcomma_recurs testset_average 1.6890001297
1 overhead testset_xsimple 0.0179998874664
1 overhead testset_simple 0.0190000534058
1 overhead testset_onecomma 0.0190000534058
1 overhead testset_complex 0.0190000534058
1 overhead testset_average 0.0309998989105
2 intcomma testset_xsimple 0.0360000133514
2 intcomma testset_simple 0.0369999408722
2 intcomma testset_onecomma 0.207999944687
2 intcomma testset_complex 0.302000045776
2 intcomma testset_average 0.523000001907
2 intcomma_noregex testset_xsimple 0.139999866486
2 intcomma_noregex testset_simple 0.141000032425
2 intcomma_noregex testset_onecomma 0.203999996185
2 intcomma_noregex testset_complex 0.200999975204
2 intcomma_noregex testset_average 0.523000001907
2 intcomma_noregex_reversed testset_xsimple 0.130000114441
2 intcomma_noregex_reversed testset_simple 0.129999876022
2 intcomma_noregex_reversed testset_onecomma 0.236000061035
2 intcomma_noregex_reversed testset_complex 0.241999864578
2 intcomma_noregex_reversed testset_average 0.582999944687
2 intcomma_recurs testset_xsimple 0.351000070572
2 intcomma_recurs testset_simple 0.352999925613
2 intcomma_recurs testset_onecomma 0.648999929428
2 intcomma_recurs testset_complex 0.808000087738
2 intcomma_recurs testset_average 1.81900000572
2 overhead testset_xsimple 0.0189998149872
2 overhead testset_simple 0.0189998149872
2 overhead testset_onecomma 0.0190000534058
2 overhead testset_complex 0.0179998874664
2 overhead testset_average 0.0299999713898
3 intcomma testset_xsimple 0.0360000133514
3 intcomma testset_simple 0.0360000133514
3 intcomma testset_onecomma 0.210000038147
3 intcomma testset_complex 0.305999994278
3 intcomma testset_average 0.493000030518
3 intcomma_noregex testset_xsimple 0.131999969482
3 intcomma_noregex testset_simple 0.136000156403
3 intcomma_noregex testset_onecomma 0.192999839783
3 intcomma_noregex testset_complex 0.202000141144
3 intcomma_noregex testset_average 0.509999990463
3 intcomma_noregex_reversed testset_xsimple 0.125999927521
3 intcomma_noregex_reversed testset_simple 0.126999855042
3 intcomma_noregex_reversed testset_onecomma 0.235999822617
3 intcomma_noregex_reversed testset_complex 0.243000030518
3 intcomma_noregex_reversed testset_average 0.56200003624
3 intcomma_recurs testset_xsimple 0.337000131607
3 intcomma_recurs testset_simple 0.342000007629
3 intcomma_recurs testset_onecomma 0.609999895096
3 intcomma_recurs testset_complex 0.75
3 intcomma_recurs testset_average 1.68300008774
3 overhead testset_xsimple 0.0189998149872
3 overhead testset_simple 0.018000125885
3 overhead testset_onecomma 0.018000125885
3 overhead testset_complex 0.0179998874664
3 overhead testset_average 0.0299999713898
每个PEP将其烘焙到python中-> https://www.python.org/dev/peps/pep-0378/
只需使用format(1000,',d')来显示带有千位分隔符的整数
PEP中描述了更多的格式
这是使用生成器函数的另一种变体,适用于整数:
def ncomma(num):
def _helper(num):
# assert isinstance(numstr, basestring)
numstr = '%d' % num
for ii, digit in enumerate(reversed(numstr)):
if ii and ii % 3 == 0 and digit.isdigit():
yield ','
yield digit
return ''.join(reversed([n for n in _helper(num)]))
这是一个测试:
>>> for i in (0, 99, 999, 9999, 999999, 1000000, -1, -111, -1111, -111111, -1000000):
... print i, ncomma(i)
...
0 0
99 99
999 999
9999 9,999
999999 999,999
1000000 1,000,000
-1 -1
-111 -111
-1111 -1,111
-111111 -111,111
-1000000 -1,000,000
只是子类long
(或float
,或其他)。这非常实用,因为这样您仍然可以在数学运算中使用数字(因此也可以在现有代码中使用数字),但是它们都可以在终端中很好地打印出来。
>>> class number(long):
def __init__(self, value):
self = value
def __repr__(self):
s = str(self)
l = [x for x in s if x in '1234567890']
for x in reversed(range(len(s)-1)[::3]):
l.insert(-x, ',')
l = ''.join(l[1:])
return ('-'+l if self < 0 else l)
>>> number(-100000)
-100,000
>>> number(-100)
-100
>>> number(-12345)
-12,345
>>> number(928374)
928,374
>>> 345
__repr__()
重写的正确方法是吗?我建议重写__str__()
,留下__repr__()
孤单,因为int(repr(number(928374)))
应该工作,但int()
会噎死的逗号。
number(repr(number(928374)))
是行不通的,不是int(repr(number(928374)))
。完全一样,要print
按照OP的要求直接使用此方法,该__str__()
方法应被覆盖而不是__repr__()
。无论如何,核心逗号插入逻辑中似乎存在一个错误。
对于花车:
float(filter(lambda x: x!=',', '1,234.52'))
# returns 1234.52
对于整数:
int(filter(lambda x: x!=',', '1,234'))
# returns 1234
float('1,234.52'.translate(None, ','))
可能更直接,甚至更快。