如何使用 pandas 编写 python 脚本来迭代具有多张工作表的 Excel.xlsx 文件？

Question

I have some Excel.Xlsx files. Each file contains multiple sheets. I have used the following code to read and extract data from the files:

import pandas as pd
file = pd.ExcelFile('my_file.xlsx')
file.sheet_names #Displays the sheet names
df = file.parse('Sheet1') #To parse Sheet1
df.columns #To list columns

My interest is the email columns in each sheet. I have been doing this almost manually with the code above. I need a code to automatically iterate over the sheets and extract all emails. Help!

Answer 1

You can pass over all files and all sheets with a for loop:

import pandas as pd
import os

emails = []
files_dir = "/your_path_to_the_xlsx_files"
for file in os.listdir(files_dir):
    excel = pd.ExcelFile(os.path.join(files_dir,file))
    for sheet in excel.sheet_names:
        df = excel.parse(sheet)
        if 'email' not in df.columns:
            continue
        emails.extend(df['email'].tolist())

Now you have all the emails in the emails list.