尋找正則表達式從數據框中刪除可預測的文本塊

Question

我有一個檢驗結果和違規數據框架，如下所示：

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

Pass                    36. THERMOMETERS PROVIDED & ACCURATE Comment...

我需要做的是讓Python遍歷此熊貓數據框，特別是在“違規”列中，並標識“以數字開頭，以注釋結尾：”的所有情況。

我能夠使用正則表達式使用此行代碼剝離數字

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

如您所見，我試圖通過rstrip regex命令來實現注釋的結尾，但這似乎沒有任何作用。 輸出看起來像這樣

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

regex命令的基本含義是：查找數字並刪除數字和注釋之間的所有內容：

有沒有簡單的方法可以做到這一點？

Answer 1

regex命令的基本含義是：查找數字並刪除數字和注釋之間的所有內容：

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)

>>> print(bar)
    Results                 Violations
    Pass w/ Conditions  3. MANAGEMENT, FOOD EMPLOYEE AND CONDITIONAL E
    Pass                    36.
>>>

參考文獻：

• https://regex101.com/
• re.sub（）-正則表達式，用於替換字符串中子字符串的最后一次出現

字符串中子字符串的最后一次出現