如果你想使用Pandas，可以尝试这样做。只使用read_csv应该仍然可以很好地处理您的数据，然后您可以将引号中的列拆分为它们自己的列。最后，删除带引号的列：

#### Making mock csv/text file
from io import StringIO
csv_file = StringIO('\n'.join(['"LastName, FirstName MiddleName", 222555,X-150,2023,0.15,0.20,0.5,"1, 2, 10",--,1.5,5.10,report']*3))
#########################

# Load in the file as a CSV
df = pd.read_csv(csv_file, header = None)

# Split the names into separate name columns
df[['Last', 'First', 'Middle']] = [x for x in df[0].str.replace(',', '').str.split(' ')]

# Split the numbers in quotes into 3 separate columns
df[['num1', 'num2', 'num3']] = [x for x in df[7].str.split(', ')]

# Remove the columns that you split
df = df.drop(df.columns[[0, 7]], axis = 1)

输出量：