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可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I am very new to R, and I am currently to apply however little knowledge of R I have to an analytical work I have to perform for work. I have two dataframes - dataframe A consists of transactions details, while dataframe B consists of the monthly closing exchange rate for various currencies. Data frame A - transaction details TRANSACTION_ID COLLECTION_CRNCY COLLECTION_AMT MMYYYY LODG_DATE 1 0001 INR 305000 Mar 2014 2014-03-01 2 0002 USD 15000 Oct 2014 2014-10-31 3 0003 JPY 85000 Feb 2015 2015-02-09 4 0004 CNY 1800000 Mar 2015 2015-03-27

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: 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' 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