删除 Pandas DataFrame 中的正则表达式、方括号、单引号和双引号

Question

I am trying remove regex, square brackets, single and double-quotes and replace it with empty strings. I am not doing it right. Input is as below:

Accident_type                      Injury_classification        
                          
['Strike fixed/station obj']     ["Assault in PI Cases", 'Other Injuries']
['Slip, trip, fall']             ["Work Related Injury", 'Other Injuries']
etc

I tried df['Injury_classification'].str.replace(r" \\(.*\\)","") and it doesn't remove anything. The code ran but it's the same results with nothing removed.

I then tried

df['Injury_classification'] = pd.DataFrame([str(line).strip('[').strip(']').strip('\'').strip('\'').strip('"') for line in df['Injury_classification']])

Current output:

Accident_type                      Injury_classification      
                                 
empty                       Assault in PI Cases", 'Other Injuries
empty                       Work Related Injury", 'Other Injuries
etc

As you can see, there are still some single-quotes and sometimes double-quotes as well. I am wondering how to deal with this? I have about 20-30 columns that have similar structures. Right now, I am running line by line for the same command but it's not efficient for that many columns. I wonder how can I write a loop to remove regex, single and double-quotes for all columns?

Expected Output:

Accident_type                      Injury_classification      
                                 
Strike fixed/station obj    Assault in PI Cases, Other Injuries
Slip, trip, fall            Work Related Injury, Other Injuries
etc

Thanks

Answer 1

I would just use str.replace here with a character class:

df['Injury_classification'] = df['Injury_classification'].str.replace("[\[\]\"']", "")

This would the input ['Slip', 'trip', "fall"] into Slip, trip fall .