[英]Ignore commas when enclosed in double quotes
I'd like to extend the code below so it can take double quotes. 我想扩展下面的代码,以便它可以采用双引号。 For example, the string '303,"Candy, Original",45,19'
should return [303,"Candy, Original",45,19]
. 例如,字符串'303,"Candy, Original",45,19'
应返回[303,"Candy, Original",45,19]
。 Please help. 请帮忙。 Thanks. 谢谢。
def parse(s):
#If string can be parsed as integer, return integer
try:
num = int(s)
return num
except:
pass
#Else return string
return s
data=[parse(x) for x in myString.split(",")]
The csv
module handles quoted commas really well. csv
模块非常好地处理引用的逗号。 You may want to try building a parser around that. 您可能想尝试围绕它构建解析器。
import csv
from io import StringIO
def to_numeric(x):
try:
return int(x)
except ValueError:
pass
try:
return float(x)
except ValueError:
pass
return x
def parse_line(s):
f = StringIO(s)
f.seek(0)
reader = csv.reader(f)
out = next(reader)
return [to_numeric(x) for x in out]
s = '303,"Candy, Original",45,19'
parse_line(s)
# returns:
[303, 'Candy, Original', 45, 19]
Solution using CSV: 使用CSV解决方案:
$ python
Python 3.7.2 (default, Dec 27 2018, 07:35:06)
[Clang 10.0.0 (clang-1000.11.45.5)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import csv
>>> from io import StringIO
>>> csv_string = '303,"Candy, Original",45,19'
>>> csv_file = StringIO(csv_string)
>>>
>>> reader = csv.reader(csv_file, delimiter=',')
>>> reader.__next__()
['303', 'Candy, Original', '45', '19']
You could then pass each value through an int
or float
coercion to get the native numerics if needed. 然后,您可以通过int
或float
强制传递每个值,以便在需要时获取本机数值。
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