希望使用正则表达式从数据框中剥离可预测的文本块

Question

我有一个检查结果和违规数据框架，如下所示：

Results                 Violations
Pass w/ Conditions  3. MANAGEMENT, FOOD EMPLOYEE AND CONDITIONAL E

Pass                    36. THERMOMETERS PROVIDED & ACCURATE Comment...

我需要做的是让python循环遍历此pandas数据框，尤其是在“违规”列中，并确定 “以数字开头，以注释结尾：”

我能够使用正则表达式通过此行代码去除数字

df_new['Violations'] = df_new['Violations'].map(lambda x: 
    x.lstrip('0123456789.- ').rstrip('[^a-zA-Z]Comments[^a-zA-Z]'))

如您所见，我试图通过rstrip regex命令来实现注释结束，但这似乎无济于事。输出看起来像这样

Results Violations
0   Pass w/ Conditions  MANAGEMENT, FOOD EMPLOYEE AND CONDITIONAL EMPL...
1   Pass    THERMOMETERS PROVIDED & ACCURATE - Comments: 4...

regex命令的基本含义是：查找数字并删除数字和注释之间的所有内容：

有一种简单的方法吗？

Answer 1

regex命令的基本含义是：查找数字并删除数字和注释之间的所有内容：

gsutil defstorageclass set regional gs://[BUCKET_NAME]

foo = '''\
Results                 Violations
Pass w/ Conditions  3. MANAGEMENT, FOOD EMPLOYEE AND CONDITIONAL E
Pass                    36. THERMOMETERS PROVIDED & ACCURATE Comment...'''

>>> print(foo)
    Results                 Violations
    Pass w/ Conditions  3. MANAGEMENT, FOOD EMPLOYEE AND CONDITIONAL E
    Pass                    36. THERMOMETERS PROVIDED & ACCURATE Comment...
>>>

import re
bar = re.sub('(\d+\.).*(Comment.*)', '\\1', foo)

参考：

• https://regex101.com/
• re.sub() - Regex for replacing last occurance of a substring in a string

字符串中子字符串的最后一次出现