使用 Openpyxl 匹配和更新 excel 中的特定列？

Question

我正在尝试构建一个工具来匹配/搜索 excel 中的特定值，例如如果名称：Jay 在列表中，那么我将运行验证，其结果将存储在基于该值的字典中用于更新数据框。

流动：

1. 获取 excel 中的名称列表。
2. 运行验证，结果将以字典格式存储。
3. 如果结果（dict）中的名称在 excel 列表中，则通过匹配更新评论列，然后更新评论部分。
4. 更新并保存 excel 文件。

 Current: Name, Lastname, Address, Comment Jay, Till, 123 Partway, NA Bob, Rossel, 555 North, NA Dave, Cede, 982 South, NA My Target(Update the Comment Column): Name, Lastname, Address, Comment Jay, Till, 123 Partway, Active Bob, Rossel, 555 North, Need to check Dave, Cede, 982 South, Inactive

我的代码：

## OPEN THE REPORT FILE
excelnew = "Report.xlsx" #NEW FILE
dnew = pd.read_excel("Report.xlsx", sheet_name='Device Detail',  skiprows = 3)
filt_dnew = dnew[(dnew.State == 'FAILED') & (dnew.Type.isin(['Router','Switch','WLAN Controller']))]
empDfObj2 = pd.DataFrame(filt_dnew, columns=['State', 'Name','Type','Model','Last','Reason','Comments'])

## To explain.
# bures = this is the result .. a dictionary based. 
# new_devlist = just list of devices.

test = []
new_devlist = filt_dnew['Name'].tolist()

## the condition is, If device in the result then need to get the result details and put it in  excel under "Comment" Column. 

for key in bures.values():
    for x in new_devlist:
        if x in key.values():
            print("matched:",x,key["Result"])
            column_name = x
            value = empDfObj2.loc[empDfObj2.Name == x, "Comments"] = key["Result"]
            print ("Value: ",value,"\n")
        else:
            test.append("test")

如何使用名为 empDfObj2 的更新 DF 更新 excel 文件而不创建重复条目？ 或者这里最好的方法是什么？