在合并的 csv 文件中添加附加列

我的代码合并 csv 文件并使用 pandas 删除重复项。 是否可以向单个合并文件添加带有值的附加标头？

应该调用附加标头Host Alias并且应该对应于Host Name

E.g. Host Name is dpc01n1以及相应的Host Alias应该dev_dom1 Host Name is dpc02n1以及相应的Host Alias应该dev_dom2 etc.

这是我的代码

from glob import glob
import pandas as pd

class bcolors:
    HEADER = '\033[95m'
    OKBLUE = '\033[94m'
    OKGREEN = '\033[92m'
    WARNING = '\033[93m'
    FAIL = '\033[91m'
    ENDC = '\033[0m'
    BOLD = '\033[1m'
    UNDERLINE = '\033[4m'

input_path = r'C:\Users\urale\Desktop\logs'
output_path = r'C:\Users\urale\Desktop\logs' + '\\'
output_name = 'output.csv'

stock_files = sorted(glob(input_path + '\pc_dblatmonstat_*_*.log'))
print(bcolors.OKBLUE + 'Getting .log files from', input_path)

final_headers = [
        'Start Time', 
        'epoch', 
        'Host Name', 
        'Db Alias', 
        'Database', 
        'Db Host', 
        'Db Host IP',
        'IP Port',
        'Latency (us)'
]

#read in files via list comprehension
content = [pd.read_csv(f,usecols = final_headers, sep='[;]',engine='python') 
           for f in stock_files]
print(bcolors.OKBLUE + 'Reading files')


#combine files into one dataframe
combo = pd.concat(content,ignore_index = True)
print(bcolors.OKBLUE + 'Combining files')

#drop duplicates
combo = combo.drop_duplicates()
#combo = combo.drop_duplicates(final_headers, keep=False)
print(bcolors.OKBLUE + 'Dropping duplicates')

#write to csv:
combo.to_csv(output_path + output_name, index = False)
print(bcolors.OKGREEN + 'Merged file output to', output_path, 'as', output_name)

def func(row):
    if row['Host Name'] == "dpc01n1":
        return 'dev_dom1'
    #do your Host Alias generate logic here,and return

combo["Host Alias"]=combo.apply(func, axis=1)

DataFrame.apply 接受一个函数来生成新的 Series 或 DataFrame

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.apply.html https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.apply.html