Regex:编写使用逗号拆分的模式

Question

我需要创建一个tokenizer，它将用逗号分割字符串。

使用split可以做到这一点

re.split(',+', str)

但我需要使用编译。我试过了

text = "5g, dynamic vision sensor (dvs), 3-d reconstruction, neuromorphic engineering, neural networks, humanoid robots, neuromorphics, closed loop systems, field programmable gate arrays, spiking motor controller, neuromorphic implementation, icub, relation neural network"
pattern = re.compile(r'[a-z0-9\(\)-]+')
re.findall(pattern, text)

输出结果是

['5g', 'dynamic', 'vision', 'sensor', '(dvs)', '3-d', 'reconstruction', 'neuromorphic', 'engineering', 'neural', 'networks', 'humanoid', 'robots', 'neuromorphics', 'closed', 'loop', 'systems', 'field', 'programmable', 'gate', 'arrays', 'spiking', 'motor', 'controller', 'neuromorphic', 'implementation', 'icub', 'relation', 'neural', 'network']

所需输出为

['5g', 'dynamic vision sensor (dvs)', '3-d reconstruction', 'neuromorphic engineering', 'neural networks', 'humanoid robots', 'neuromorphics', 'closed loop systems', 'field programmable gate arrays', 'spiking motor controller', 'neuromorphic implementation', 'icub', 'relation neural network']

Answer 1

正如@mama所说，你不需要为此使用正则表达式，但是如果你特别想使用re.compile，你可以用下面的代码来实现：

text = "5g, dynamic vision sensor (dvs), 3-d reconstruction, neuromorphic engineering, neural networks, humanoid robots, neuromorphics, closed loop systems, field programmable gate arrays, spiking motor controller, neuromorphic implementation, icub, relation neural network"
pattern = re.compile(r'([\sa-z0-9\(\)-]+)')
L=re.findall(pattern, text)
L=[l.lstrip(" ") for l in L]

​

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Answer 2

不要为此使用正则表达式。只需使用python内置的split()函数

text = "5g, dynamic vision sensor (dvs), 3-d reconstruction, neuromorphic engineering, neural networks, humanoid robots, neuromorphics, closed loop systems, field programmable gate arrays, spiking motor controller, neuromorphic implementation, icub, relation neural network"

print(text.split(', '))

Answer 3

试试这个模式：[a-z0-9() -]+(?=,|$)

代码：

text = "5g, dynamic vision sensor (dvs), 3-d reconstruction, neuromorphic engineering, neural networks, humanoid robots, neuromorphics, closed loop systems, field programmable gate arrays, spiking motor controller, neuromorphic implementation, icub, relation neural network"
pattern = re.compile(r'[a-z0-9() -]+(?=,|$)')
print([x.strip() for x in re.findall(pattern, text)])

输出：

['5g', 'dynamic vision sensor (dvs)', '3-d reconstruction', 'neuromorphic engineering', 'neural networks', 'humanoid robots', 'neuromorphics', 'closed loop systems', 'field programmable gate arrays', 'spiking motor controller', 'neuromorphic implementation', 'icub', 'relation neural network']