将每个 excel 工作表读取为 Python 中的不同 dataframe

Question

I have an excel file with 40 sheet_names. I want to read each sheet to a different dataframe, so I can export an xlsx file for each sheet. Instead of writing all the sheet names one by one, I want to create a loop that will get all sheet names and add them as a variable in the "sheet_name" option of "pandas_read_excel"

I am trying to avoid this:

 df1 = pd.read_excel(r'C:\Users\filename.xlsx', sheet_name= 'Sheet1'); df2 = pd.read_excel(r'C:\Users\filename.xlsx', sheet_name= 'Sheet2');.... df40 = pd.read_excel(r'C:\Users\filename.xlsx', sheet_name= 'Sheet40');

thank you all guys

Answer 1

Specifying sheet_name as None with read_excel reads all worksheets and returns a dict of DataFrames .

 import pandas as pd file = 'C:\Users\filename.xlsx' xl = pd.read_excel(file, sheet_name=None) sheets = xl.keys() for sheet in sheets: xl[sheet].to_excel(f"{sheet}.xlsx")

Answer 2

I think this is what you are looking for.

 import pandas as pd xlsx = pd.read_excel('file.xlsx', sheet_name=None, header=None) for sheet in xlsx.keys(): xlsx[sheet].to_excel(sheet+'.xlsx', header=False, index=False)