在Python中将货币解析为数字 [英] Parse currency into numbers in Python

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本文介绍了在Python中将货币解析为数字的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我刚刚从在Python中将数字格式设置为货币模块 babel 提供

I just learnt from Format numbers as currency in Python that the Python module babel provides babel.numbers.format_currency to format numbers as currency. For instance,

from babel.numbers import format_currency

s = format_currency(123456.789, 'USD', locale='en_US')  # u'$123,456.79'
s = format_currency(123456.789, 'EUR', locale='fr_FR')  # u'123\xa0456,79\xa0\u20ac'

从货币到数字(例如$123,456,789.00-> 123456789)的相反情况如何? babel提供 babel.numbers.parse_number 来解析本地号码,但没有找到类似parse_currency的内容.那么,将本地货币解析为数字的理想方法是什么?

How about the reverse, from currency to numbers, such as $123,456,789.00 --> 123456789? babel provides babel.numbers.parse_number to parse local numbers, but I didn't found something like parse_currency. So, what is the ideal way to parse local currency into numbers?

我经历过 Python:从字符串中删除数字以外的字符

# Way 1
import string
all=string.maketrans('','')
nodigs=all.translate(all, string.digits)

s = '$123,456.79'
n = s.translate(all, nodigs)    # 12345679, lost `.`

# Way 2
import re
n = re.sub("\D", "", s)         # 12345679

它并不在乎小数点分隔符..

It doesn't take care the decimal separator ..

从字符串中删除除.以外的所有非数字字符(请参阅

Remove all non-numeric characters, except for ., from a string (refer to here),

import re

# Way 1:
s = '$123,456.79'
n = re.sub("[^0-9|.]", "", s)   # 123456.79

# Way 2:
non_decimal = re.compile(r'[^\d.]+')
s = '$123,456.79'
n = non_decimal.sub('', s)      # 123456.79

它确实处理小数点分隔符..

It does process the decimal separator ..

但是,例如,上述解决方案在使用时不起作用

But the above solutions don't work when coming to, for instance,

from babel.numbers import format_currency
s = format_currency(123456.789, 'EUR', locale='fr_FR')  # u'123\xa0456,79\xa0\u20ac'
new_s = s.encode('utf-8') # 123 456,79 €

如您所见,货币格式各不相同. 一般将货币解析为数字的理想方法是什么?

As you can see, the format of currency varies. What is the ideal way to parse currency into numbers in a general way?

推荐答案

使用babel

babel文档指出数字解析未完全实现是,但是他们为将货币信息输入库中做了很多工作.您可以使用get_currency_name()get_currency_symbol()来获取货币详细信息,还可以使用所有其他get_...函数来获取常规数字详细信息(小数点,减号等).

Using babel

The babel documentation notes that the number parsing is not fully implemented yes but they have done a lot of work to get currency info into the library. You can use get_currency_name() and get_currency_symbol() to get currency details, and also all other get_... functions to get the normal number details (decimal point, minus sign, etc.).

使用该信息,您可以从货币字符串中排除货币详细信息(名称,符号)和分组(例如,在美国为,).然后,将小数位详细信息更改为C区域设置所使用的详细信息(-表示负号,.表示小数点).

Using that information you can exclude from a currency string the currency details (name, sign) and groupings (e.g. , in the US). Then you change the decimal details into the ones used by the C locale (- for minus, and . for the decimal point).

这将产生以下代码(我添加了一个对象来保留一些数据,在后续处理中可能会很方便):

This results in this code (i added an object to keep some of the data, which may come handy in further processing):

import re, os
from babel import numbers as n
from babel.core import default_locale

class AmountInfo(object):
    def __init__(self, name, symbol, value):
        self.name = name
        self.symbol = symbol
        self.value = value

def parse_currency(value, cur):
    decp = n.get_decimal_symbol()
    plus = n.get_plus_sign_symbol()
    minus = n.get_minus_sign_symbol()
    group = n.get_group_symbol()
    name = n.get_currency_name(cur)
    symbol = n.get_currency_symbol(cur)
    remove = [plus, name, symbol, group]
    for token in remove:
        # remove the pieces of information that shall be obvious
        value = re.sub(re.escape(token), '', value)
    # change the minus sign to a LOCALE=C minus
    value = re.sub(re.escape(minus), '-', value)
    # and change the decimal mark to a LOCALE=C decimal point
    value = re.sub(re.escape(decp), '.', value)
    # just in case remove extraneous spaces
    value = re.sub('\s+', '', value)
    return AmountInfo(name, symbol, value)

#cur_loc = os.environ['LC_ALL']
cur_loc = default_locale()
print('locale:', cur_loc)
test = [ (n.format_currency(123456.789, 'USD', locale=cur_loc), 'USD')
       , (n.format_currency(-123456.78, 'PLN', locale=cur_loc), 'PLN')
       , (n.format_currency(123456.789, 'PLN', locale=cur_loc), 'PLN')
       , (n.format_currency(123456.789, 'IDR', locale=cur_loc), 'IDR')
       , (n.format_currency(123456.789, 'JPY', locale=cur_loc), 'JPY')
       , (n.format_currency(-123456.78, 'JPY', locale=cur_loc), 'JPY')
       , (n.format_currency(123456.789, 'CNY', locale=cur_loc), 'CNY')
       , (n.format_currency(-123456.78, 'CNY', locale=cur_loc), 'CNY')
       ]

for v,c in test:
    print('As currency :', c, ':', v.encode('utf-8'))
    info = parse_currency(v, c)
    print('As value    :', c, ':', info.value)
    print('Extra info  :', info.name.encode('utf-8')
                         , info.symbol.encode('utf-8'))

输出看起来很有希望(在美国语言环境中):

The output looks promising (in US locale):

$ export LC_ALL=en_US
$ ./cur.py
locale: en_US
As currency : USD : b'$123,456.79'
As value    : USD : 123456.79
Extra info  : b'US Dollar' b'$'
As currency : PLN : b'-z\xc5\x82123,456.78'
As value    : PLN : -123456.78
Extra info  : b'Polish Zloty' b'z\xc5\x82'
As currency : PLN : b'z\xc5\x82123,456.79'
As value    : PLN : 123456.79
Extra info  : b'Polish Zloty' b'z\xc5\x82'
As currency : IDR : b'Rp123,457'
As value    : IDR : 123457
Extra info  : b'Indonesian Rupiah' b'Rp'
As currency : JPY : b'\xc2\xa5123,457'
As value    : JPY : 123457
Extra info  : b'Japanese Yen' b'\xc2\xa5'
As currency : JPY : b'-\xc2\xa5123,457'
As value    : JPY : -123457
Extra info  : b'Japanese Yen' b'\xc2\xa5'
As currency : CNY : b'CN\xc2\xa5123,456.79'
As value    : CNY : 123456.79
Extra info  : b'Chinese Yuan' b'CN\xc2\xa5'
As currency : CNY : b'-CN\xc2\xa5123,456.78'
As value    : CNY : -123456.78
Extra info  : b'Chinese Yuan' b'CN\xc2\xa5'

它仍然可以在不同的语言环境中工作(巴西以逗号作为小数点而闻名):

And it still works in different locales (Brazil is notable for using the comma as a decimal mark):

$ export LC_ALL=pt_BR
$ ./cur.py 
locale: pt_BR
As currency : USD : b'US$123.456,79'
As value    : USD : 123456.79
Extra info  : b'D\xc3\xb3lar americano' b'US$'
As currency : PLN : b'-PLN123.456,78'
As value    : PLN : -123456.78
Extra info  : b'Zloti polon\xc3\xaas' b'PLN'
As currency : PLN : b'PLN123.456,79'
As value    : PLN : 123456.79
Extra info  : b'Zloti polon\xc3\xaas' b'PLN'
As currency : IDR : b'IDR123.457'
As value    : IDR : 123457
Extra info  : b'Rupia indon\xc3\xa9sia' b'IDR'
As currency : JPY : b'JP\xc2\xa5123.457'
As value    : JPY : 123457
Extra info  : b'Iene japon\xc3\xaas' b'JP\xc2\xa5'
As currency : JPY : b'-JP\xc2\xa5123.457'
As value    : JPY : -123457
Extra info  : b'Iene japon\xc3\xaas' b'JP\xc2\xa5'
As currency : CNY : b'CN\xc2\xa5123.456,79'
As value    : CNY : 123456.79
Extra info  : b'Yuan chin\xc3\xaas' b'CN\xc2\xa5'
As currency : CNY : b'-CN\xc2\xa5123.456,78'
As value    : CNY : -123456.78
Extra info  : b'Yuan chin\xc3\xaas' b'CN\xc2\xa5'


值得指出的是,babel存在一些编码问题.这是因为语言环境文件(在locale-data中)本身使用了不同的编码.如果您使用的是货币,那么应该不会有问题.但是,如果您尝试使用不熟悉的货币,则可能会遇到问题(我刚刚了解到波兰使用的是iso-8859-2而不是iso-8859-1).


It is worth to point out that babel has some encoding problems. That is because the locale files (in locale-data) do use different encoding themselves. If you're working with currencies you're familiar with that should not be a problem. But if you try unfamiliar currencies you might run into problems (i just learned that Poland uses iso-8859-2, not iso-8859-1).

这篇关于在Python中将货币解析为数字的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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