循环通过 excel 工作表并根据条件将每个工作表保存到 csv

Question

I have an excel file that has multiple sheets. I would like to iterate through each sheet and check against a string to either read the file after 0 rows or 4 rows. (As some of the sheets datasets start after the first 4 rows) After the sheet gets read I want to save the file as a csv.

This is my code so far, but I am not sure if I am doing the loop correctly.

import pandas as pd


def converToCsv(excel_file): 
    df = pd.read_excel(excel_file, sheet_name = None)
    
    for sheets in df.items():
        if sheets[df.items()] == 'Shipment':
                  newdf = pd.read_excel(excel_file, sheet_name = sheets[df.items(), header = 4]
                  newdf.to_csv('path', decimal = ',', index = False)
        else:
                  newdf = pd.read_excel(excel_file, sheet_name = sheets[df.items(), header = 0]
                  newdf.to_csv('path', decimal = ',', index = False)

Answer 1

There are several things not working with the snippet you posted:

• sheets[df.items()] is not valid. df.items() returns a dict like: {<sheet_name>: <sheet_content>} , so you can not use it as an index
• missing parenthesis and misplacement of square brackets
• admitting that the loop worked, you are always saving the data to the same file path , doing so you are overwriting the previously saved sheet to csv on each loop turn.

Did you try running this code before posting it?

You could do something along those lines:

import pandas as pd


def converToCsv(excel_file): 
    workbook = pd.read_excel(excel_file, sheet_name = None)
    
    for sheet_name in workbook.keys():
        header = 0
        if sheet_name == 'Shipment':
            header = 4    
        newdf = pd.read_excel(excel_file, sheet_name = sheet_name, header=header)
        # TODO: handle the case where sheet name is not a valid file name
        newdf.to_csv(f"{sheet_name}.csv", decimal = ',', index = False)

converToCsv("test.xlsx")