在Python中删除字符串中间的连续字符 [英] Removing continuation characters in the middle of a string in Python

问题描述

Google maps API的标准返回值如下所示-从字节转换为字符串后:

The standard return value from the Google maps API looks like this - after conversion from bytes to a string:

b'{\n   "destination_addresses" : [ "Washington, DC, USA" ],\n   "origin_addresses" : [ "New York, NY, USA" ],\n   "rows" : [\n      {\n         "elements" : [\n            {\n               "distance" : {\n                  "text" : "370 km",\n                  "value" : 369720\n               },\n               "duration" : {\n                  "text" : "3 hours 48 mins",\n                  "value" : 13672\n               },\n               "status" : "OK"\n            }\n         ]\n      }\n   ],\n   "status" : "OK"\n}\n'

为了进一步处理，我想先删除所有换行符.但是，我不知道该怎么做

In order to process is any further, I would like to remove all the line break characters first. However, I don't know how to do it

results_str.replace('\n', "") 

不起作用，即由于行继续符，它返回相同的字符串而不替换'\ n'.

won't work, .i.e., it returns the same string without replacing the '\n's, because of the line continuation character.

当我将反斜杠加倍时，也会发生同样的事情

Same thing happens when I double the backslash

results_str.replace('\\n', "") 

有什么提示吗?

推荐答案

results_str.replace('\n', "") 

您是如此亲密. \是字符串文字中的转义字符，因此您必须将其加倍或使用原始字符串:

You're so close. The \ is an escape character in string literals, so you must either double it up, or use a raw string:

results_str.replace('\\n', "") 
results_str.replace(r'\n', "") 

还请记住，Python字符串是不可变的:replace()返回一个新字符串，因为无法修改现有字符串.如果要保留更改后的字符串，则必须将其分配给某些名称，例如原始名称:

Also remember that Python strings are immutable: replace() returns a new string, because the existing string cannot be modified. If you want to keep the changed string, you have to assign it to some name, such as the original name:

results_str = results_str.replace(r'\n', "")

尽管您可能希望以不关心换行符的方式处理数据.看起来像JSON，所以您可能不应该尝试自己解析它，而应该使用Python json模块.

Although you may want to process your data in a fashion that doesn't care about the newlines. That looks like JSON, so rather than trying to parse it yourself you should probably be using the Python json module.

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