如何解析配置。python中另一个目录中的ini文件

如何解析配置。python中另一个目录中的ini文件,python,parsing,config,Python,Parsing,Config,我必须解析另一个目录中的config.ini文件,并使用python读取一些值。您可以使用ConfigParser模块。检查示例 我认为你应该阅读文档 要从路径简单地读取.ini配置文件,应该从以下步骤开始: import configparser # Create config parser config = configparser.ConfigParser() # Read in config.ini from a path config.read('path/to/config.in

我必须解析另一个目录中的config.ini文件,并使用python读取一些值。

您可以使用ConfigParser模块。检查示例


我认为你应该阅读文档

要从路径简单地读取
.ini
配置文件,应该从以下步骤开始:

import configparser

# Create config parser
config = configparser.ConfigParser()

# Read in config.ini from a path
config.read('path/to/config.ini')

# Do more parsing. 
上述文件专门用于读取
.ini
文件


您需要在问题中提供更多细节,以获得更深入的解析帮助

我不知道您是如何在问题或示例代码中没有任何描述的情况下编写这么多代码的。
import os
import datetime
import time
import numpy as np
import pandas as pd

yesterday_date  = (datetime.datetime.today() - datetime.timedelta(days=1)).strftime('%Y-%m-%d')

for name in os.listdir('D:\Test'):
    full_name = os.path.join('D:\Test', name)
    if time.strftime('%Y-%m-%d', time.localtime(os.path.getmtime(full_name))) == yesterday_date:
        folder_name_path = 'D:\Test\\' + name

filename_path = folder_name_path + '\\' + 'mentionfilename'
from openpyxl.workbook import Workbook
df = pd.read_excel(r'C:\Users\Desktop\testing_today.xlsx')
df_old = pd.read_excel(filenamepath)
df_new=df.merge(df_old[['mtm','wes','fre']],on='mtm')
writer =pd.ExcelWriter(r'C:\Users\Desktop\output.xlsx')
df_new.to_excel(writer,'Sheet1')
writer.save()
import os
import datetime
import time
import numpy as np
import pandas as pd

yesterday_date  = (datetime.datetime.today() - datetime.timedelta(days=1)).strftime('%Y-%m-%d')

for name in os.listdir('D:\Test'):
    full_name = os.path.join('D:\Test', name)
    if time.strftime('%Y-%m-%d', time.localtime(os.path.getmtime(full_name))) == yesterday_date:
        folder_name_path = 'D:\Test\\' + name

filename_path = folder_name_path + '\\' + 'mentionfilename'
from openpyxl.workbook import Workbook
df = pd.read_excel(r'C:\Users\Desktop\testing_today.xlsx')
df_old = pd.read_excel(filenamepath)
df_new=df.merge(df_old[['mtm','wes','fre']],on='mtm')
writer =pd.ExcelWriter(r'C:\Users\Desktop\output.xlsx')
df_new.to_excel(writer,'Sheet1')
writer.save()