破解excel格式保护

#筛选用
import pandas as pd
import numpy as np
import re
#pd.options.display.max_columns = None
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
import os

name = pd.read_excel(r'D:\\个.xls',sheet_name = 0)



 for i in [2012]: 
    print(i)
    path = 'D:\个人文件\研究生论文\长江\数据再处理扩充版\知网数据处理\合并结果\合并结果{}'.format(i)
    excel_name = list(os.listdir(path))
    with pd.ExcelWriter(r"D:\个人文件\研究生论文\长江\数据再处理扩充版\知网数据处理\筛选结果\\{}年中国城市统计年鉴长三角.xls".format(i)) as writer:
        for i_name_index,i_name in enumerate(excel_name):
            excelFile = os.path.join(path,i_name)
            data = pd.read_csv(excelFile,encoding = 'GBK')
            sheet1 = pd.DataFrame([],columns=data.columns)
            sheet1 = sheet1.append(data.iloc[0:15,:])
            for j_inedx , j in enumerate(name.iloc[:,0]):
                a = 0
                lieshu = 1
                for i_index,i in enumerate(data.iloc[:,lieshu]):
                    i = str(i)
                    i_copy = ''.join(i.split())
                    #print(i_copy)
                    if i == j + '市':
                        sheet1 = sheet1.append(data.iloc[i_index,:])
                        a=1
                        break
                    elif j + '市'== i_copy:
                        sheet1 = sheet1.append(data.iloc[i_index,:])
                        a=1
                        break
                    else:
                        pass
                if a == 0:
                    sheet1 = sheet1.append([{sheet1.columns[lieshu]:j}])
            sheet1.to_excel(writer, sheet_name='{}'.format(i_name_index))
    writer.save()
    writer.close()

合并用
import pandas as pd
import os
import re

years = [2012]
for year in years:
    path = 'D:\个人文件\研究生论文\长江\数据再处理扩充版\知网数据处理\数据excel\\{}年地级市统计年鉴'.format(year)
    csv_path = 'D:\个人文件\研究生论文\长江\数据再处理扩充版\知网数据处理\\csv统计年鉴\\{}年统计年鉴'.format(year)
    excel_name = list(os.listdir(path))
    name_list = []
    for i_excel_name in excel_name:
        name_list_i = re.findall('(.*)\.',i_excel_name)
        name_list.append(''.join(name_list_i))
    print(name_list)

    for i_index, i_name_list in enumerate(name_list):
        i_name_list_xls = i_name_list + '.xls'
        append_list = list()
        print(append_list)
        print(type(append_list))
        print(i_name_list,i_name_list_xls)
        while True:
            i_name_list_xls = i_name_list_xls + '.csv'
            print(i_name_list_xls)
            if os.path.exists(csv_path + '\\' + i_name_list_xls):
                append_list.append(''.join(i_name_list_xls))
                print(append_list)
            else:
                break
        moban = pd.read_csv(csv_path + '\\'+ append_list[0],encoding='GBK')
        append_data = pd.DataFrame([],columns=moban.columns)
        for i_append_list in append_list:
            csv_path_csv = csv_path + '\\' + i_append_list
            data = pd.read_csv(csv_path_csv,encoding = 'GBK')
            append_data = append_data.append(data)
        append_data.to_csv('D:\个人文件\研究生论文\长江\数据再处理扩充版\知网数据处理\合并结果\合并结果{0}\\{0}年{1}.csv'.format(year , i_index),encoding = 'GBK')
# excel密码保护破解用程序,转csv文件

> https://blog.csdn.net/qq_42830971/article/details/114371667

posted @ 2021-03-14 19:02  kuanleung  阅读(19)  评论(0)    收藏  举报  来源