python">"""
PythonAppReadExcel.py
edit： geovindu,Geovin Du,涂聚文
date 2023-06-13
保险
"""
# This is a sample Python script.
# python.exe -m pip install --upgrade pip
# Press Shift+F10 to execute it or replace it with your code.
# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.

import xlrd
import xlwt
import xlwings as xw
import xlsxwriter
import openpyxl as ws
import pandas as pd
import pandasql
from pandasql import sqldf
import os
import sys
from pathlib import Path
import re
import Insurance
import ReadExcelData

def print_hi(name):
    # Use a breakpoint in the code line below to debug your script.
    print(f'Hi, {name}')  # Press Ctrl+F8 to toggle the breakpoint.


# Press the green button in the gutter to run the script.
if __name__ == '__main__':
    print_hi('PyCharm,geovindu,Geovin Du')
    #https://www.digitalocean.com/community/tutorials/pandas-read_excel-reading-excel-file-in-python
    #https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.convert_dtypes.html
    #https://www.geeksforgeeks.org/args-kwargs-python/
    insura=[]
    objlist=[]
    datalist = []
    dulist=[]
    # 查询某文件夹下的文件名
    folderPath = Path(r'C:\\Users\\geovindu\\PycharmProjects\\pythonProject2\\')
    fileList = folderPath.glob('*.xls')
    for i in fileList:
        stname = i.stem
        print(stname)
    # 查询文件夹下的文件  print(os.path.join(path, "User/Desktop", "file.txt"))
    dufile = ReadExcelData.ReadExcelData.ReadFileName(folderPath, 'xls')
    for f in dufile:
        fileurl = os.path.join(folderPath, f)
        dulist1 = ReadExcelData.ReadExcelData.ReadDataFile(fileurl)  # object is not callable 变量名称冲突的原因
        for duobj in dulist1:
            dulist.append(duobj)
        print(os.path.join(folderPath, f))

    ylsum = 0  # 养老
    llsum = 0  # 医疗
    totalsum = 0  # 一年费用
    for geovindu in dulist:
        # duobj = Insurance.Insurance
        print(geovindu)
        name = geovindu.getInsuranceName()
        duname = name.convert_dtypes()
        # yname = duname['Unnamed: 2']
        print(type(duname))
        print("保险类型：", duname)  # class 'pandas.core.series.Series
        strname = pd.Series(duname).values[0]
        coas1 = geovindu.getInsuranceCost()
        # coast = int(geovindu.getInsuranceCost())
        coas = coas1.convert_dtypes()
        coast = pd.Series(coas).values[0]  # int(coas)
        # print("casa",int(coas))
        totalsum = totalsum + coast
        if (strname == "养老"):
            ylsum = ylsum + coast
        if (strname == "医疗"):
            llsum = llsum + coast
        print("费用：", coast)
        month = int(geovindu.getIMonth())
        print("月份：", month)
        datalist.append([strname, coast, month])

    print("一年养老", ylsum)
    print("一年医疗", llsum)
    print("一年费用", totalsum)
    # https: // pandas.pydata.org / pandas - docs / stable / reference / api / pandas.DataFrame.groupby.html
    # 导出数据生成EXCEL
    dataf = pd.DataFrame(datalist, columns=['保险类型', '交费金额', '交费月份'])  # 增加列名称
    dataf2 = pd.DataFrame({"统计类型": ["一年养老", "一年医疗", "一年费用"], "金额": [ylsum, llsum, totalsum]})
    dataf.sort_values('交费月份', inplace=True)  # 指定列排序
    print(sqldf('''SELECT 交费金额,交费月份 FROM dataf group by 交费月份 LIMIT 25'''))
    #staicmont=sqldf('''SELECT 交费金额,交费月份 FROM dataf group by 交费月份 LIMIT 25''')
    # 交费用分份统计
    # print(sqldf('''SELECT 交费金额,交费月份 FROM dataf group by 交费月份  LIMIT 25'''))
    staicmonth = sqldf('''SELECT 交费金额,交费月份 FROM dataf group by 交费月份 LIMIT 25''')

    with pd.ExcelWriter('geovindu.xlsx') as writer:
        dataf.to_excel(writer, sheet_name='2023年保险费用详情', index=False)
        dataf2.to_excel(writer, sheet_name='保险统计', index=False)
        staicmonth.to_excel(writer, sheet_name='月份统计', index=False)


# See PyCharm help at https://www.jetbrains.com/help/pycharm/