Python使用XLSX数据获取列中字符串实例的计数

Question

每个文件中有两个数据项的高级场景

我有一个用历史数据编写的 CSV 文件

server,share,access,link
myserv,myshare,READ,\\myserv\myshare
myserv1,myshare23,READ,\\myserv\myshare
myserv1,myshare23,READ,\\myserv\myshare
myserv,myshare,READ,\\myserv\myshare

我有一个 xlsx 文件，它是当前状态的快照

server,share,access,link,instances
myserv,myshare,READ,\\myserv\myshare
myserv1,myshare23,READ,\\myserv\myshare

我想要做的是浏览 xlsx 文件并通过阅读 csv 链接列添加出现次数，并在下面给出最终结果的计数示例。 这在 python 中似乎很难做到，只是不明白为什么。 PowerShell 我可以用三行来完成，但我正在尝试学习 python。

server,share,access,link,instances
myserv,myshare,READ,\\myserv\myshare, **2**
myserv1,myshare23,READ,\\myserv\myshare, **2** 

到目前为止的代码如下

import pandas
import os

# Read csv file use pandas module.
def read_csv_file_by_pandas(csv_file):
    data_frame = None
    if(os.path.exists(csv_file)):
        data_frame = pandas.read_csv(csv_file,sep=';')   
    return data_frame

# Write pandas.DataFrame object to a csv file.
def write_to_csv_file_by_pandas(csv_file_path, data_frame):
    data_frame.to_csv(csv_file_path)


# Write pandas.DataFrame object to an excel file.
def write_to_excel_file_by_pandas(excel_file_path, data_frame):
    excel_writer = pandas.ExcelWriter(excel_file_path, engine='xlsxwriter')
    df = read_csv_file_by_pandas('history.csv')
    data_frame['link'] = '\\\\' + data_frame['server'] + '\\' + data_frame['share'] + '\\'
    for index, row in data_frame.iterrow():
        row["times"] = df['link'].str.count("\\\\" + row["server"] + "\\" + row['share'] +"\\")

    data_frame.to_excel(excel_writer, 'Data', index=False)
    excel_writer.save()
    print(excel_file_path + ' has been created.') 

def write_history_csv_by_panadas(data_frame):
    data_frame['link'] = '\\\\' + data_frame['server'] + '\\' + data_frame['share']   
    data_frame.to_csv('history.csv', mode='a',header=True,sep=';',index=False)
    print('history.csv' + ' has been updated.')

df = read_csv_file_by_pandas('data.csv')
write_history_csv_by_panadas(df)
write_to_excel_file_by_pandas('data.xlsx', df )