使用 xlwings 时丢失数据

如何解决使用 xlwings 时丢失数据

我正在尝试使用 xlwings 从 excel 调用 python 代码。但是当我在excel中运行代码时，所有输出数据都没有出现，只有第一列和最后一列，其他列显示为空 我在jupyter中运行代码时没有出现这个问题，不知道问题出在哪里！

这是我的代码：

import xlwings as xw
import pandas as pd
import numpy as np
from datetime import datetime,date
from openpyxl import load_workbook    

@xw.sub 
def main():
    wb = xw.Book.caller()
    sht = wb.sheets['view_plan_gamme']
   

    # import the data:
    n=6
    df_last_month = pd.read_excel(r'C:\myproject\data\input.xlsx',sheet_name='Plan_gamme_m1',skiprows=[*range(n)])
 
   df_current_month=pd.read_excel(r'C:\myproject\data\input.xlsx',sheet_name='Plan_gamme_m',skiprows=[*range(n)]) 
                                   

    # Data cleaning: 

    df_last_month=df_last_month.drop_duplicates()
    df_current_month=df_current_month.drop_duplicates()

    #Select columns:
    df_last_month=df_last_month[["Vehicle project number","Vehicle status","Project Naming","Vehicle 
                     project description","Vehicle family","CF","VPC","CO","MA"]]
    df_current_month = df_current_month[["Vehicle project number","Project 
                     Naming","Vehicle project description","MA"]]

    # convert Datetime columns to string:
    from pandas.api.types import is_datetime64_any_dtype
    for col in df_current_month.columns:
        if is_datetime64_any_dtype(df_current_month[col]):
            df_current_month[col] = df_current_month[col].dt.strftime('%Y-%m-%d')
           
    for col in df_last_month.columns:
        if is_datetime64_any_dtype(df_last_month[col]):
            df_last_month[col] = df_last_month[col].dt.strftime('%Y-%m-%d')


    # New/Modify/deleted projects


    # put the first column as index:
    df_last_month = df_last_month.set_index('Vehicle project number')
    df_current_month = df_current_month.set_index('Vehicle project number')
    # concatenate dataframe 
    df3 = pd.concat([df_last_month,df_current_month],sort=False)

    
    df3a = df3.stack().groupby(level=[0,1]).unique().unstack(1).copy()
    df3a.loc[~df3a.index.isin(df_last_month.index),'update_project'] = 'new' 
    df3a.loc[~df3a.index.isin(df_current_month.index),'update_project'] = 'deleted' 
    idx = df3.stack().groupby(level=[0,1]).nunique() # get modified cells. 
    df3a.loc[idx.mask(idx <= 1).dropna().index.get_level_values(0),'update_project'] = 'modified'
    df3a['update_project'] = df3a['update_project'].fillna('same') 
    
    # Export the results 

    sht.range('A7').value = df3a
    sht.range('A7:J2000').options(pd.DataFrame).value

我在excel中的输出：

非常感谢任何帮助和建议！