（新手)使用pandas操作EXCEL

import pandas as pd
import numpy as np
from pandas import DataFrame,Series
#path = r'C:\Users\tsl\Desktop\数据.xlsx'
#一列数据前面添加字符串
def add_C(village_data):
    village_data['电话'] = ['C%s' % y for y in village_data['电话']]
    return village_data['电话']
#读取excel
data = pd.read_excel(r'C:\Users\tsl\Desktop\数据.xlsx')
#判定某列中是否有null,如果有删除null 行
if data['电话'].isnull().any():
#将excel里面空值修改
    data['电话'] = data['电话'].fillna('999')
#得到999值的索引室号
    data_index = data[data.电话=='999'].index.tolist()
#删除
    data = data.drop(data_index)
#以街道分组
group_by_name = data.groupby('街道')
#需要groups得出具体结果
for i in group_by_name.groups:
    village_data = data.loc[data['街道'] == i ]
    add_C(village_data)
　　#以楼栋分组
    group_by_name_build = village_data.groupby('楼栋')
    for build_name in group_by_name_build.groups:
        build_data = village_data.loc[village_data['楼栋'] == build_name]
        build_data = build_data.drop_duplicates(subset='室号', keep='first')
　　　　　　#更改列的数据类型
        build_data['室号'] = build_data['室号'].astype(np.str)
        row_index = 0
        for house_num in build_data['室号']:
            if '-' in house_num:
                house_num = house_num.replace('-','9') #并没有修改原内存地址的值，固需要赋值给原有内存地址
            #选区某行某列并赋值
                build_data.iat[row_index,2] = house_num
            row_index +=1
        del build_data['街道']
        del build_data['楼栋']
        #修改列名
        build_data.columns = ['用户编码','指定开门','电话号码']
        build_data['指定开门'] = '双门'
        build_data_row_index = 0
        for modify_num in build_data['用户编码']:
            if len(modify_num) < 4:
                modify_num = '0' + modify_num   #并没有修改原内存地址的值，固需要赋值给原有内存地址
                build_data.iat[build_data_row_index,0] = modify_num
            build_data_row_index +=1
#保存/生成新的excle
        DataFrame(build_data).to_excel('C:\\Users\\tsl\Desktop\info\%s.xls' % (build_name),sheet_name='Sheet1',index=False,header=True )

##优化后

import pandas as pd
import numpy as np
from pandas import DataFrame,Series
#读取excel
#path = r'C:\Users\tsl\Desktop\数据.xlsx'
def Build_data(build_data):
    #一个有索引和行内容的迭代器
    for data_line_index,data_line in build_data.iterrows():
            if '-' in data_line['用户编码']:
                data_line['用户编码'] = data_line['用户编码'].replace('-','9')
                # house_num = house
            if len(data_line['用户编码'])<4:
                data_line['用户编码'] = '0'+ data_line['用户编码']
            data_line['电话号码'] = data_line['电话号码'][:-2]
    return build_data
def add_C(village_data):
    village_data['电话'] = ['C%s' % y for y in village_data['电话']]
    return village_data['电话']
data = pd.read_excel(r'C:\Users\tsl\Desktop\数据.xlsx')
data_index = 0
#判定列中是否有null,如果有删除null 行
if data['电话'].isnull().any():
#将excel里面空值修改
    data['电话'] = data['电话'].fillna('999')
#得到999值的索引室号
    data_index_1 = data[data.电话=='999'].index.tolist()
#删除
    data = data.drop(data_index_1)
#已街道分组
group_by_name = data.groupby('街道')
#需要groups得出具体结果
for i in group_by_name.groups:
    village_data = data.loc[data['街道'] == i ]
    add_C(village_data)
    group_by_name_build = village_data.groupby('楼栋')
    for build_name in group_by_name_build.groups:
        build_data = village_data.loc[village_data['楼栋'] == build_name]
        build_data = build_data.drop_duplicates(subset='室号', keep='first')
        del build_data['街道']
        del build_data['楼栋']
        #修改列名
        build_data.columns = ['用户编码','指定开门','电话号码']
        build_data['指定开门'] = '双门'
        build_data  = build_data.astype(np.str)
        build_data = Build_data(build_data)
        DataFrame(build_data).to_excel('C:\\Users\\tsl\Desktop\info\%s.xls' % (build_name),sheet_name='Sheet1',index=False,header=True )