python替代excel函数处理数据
import pandas as pd
import numpy as np
import csv,datetime
def mjdfb(x):
if x<120:
return ‘90-120方‘
elif x<140:
return ‘120-140方‘
return ‘140方以上‘
def yszzt(x):
if int(x)==0:
return ‘未取证‘
elif int(x)<int(‘43890‘):
return ‘已取证‘
return ‘未取证‘
def rgzt(x):
if int(x)==0:
return ‘未认购‘
elif int(x)>int(‘43890‘):
return ‘未认购‘
return ‘已认购‘
def qyzt(x):
if int(x)==0:
return ‘未签约‘
elif int(x)>int(‘43890‘):
return ‘未签约‘
return ‘已签约‘
def wqzt(x):
if int(x)==0:
return ‘未网签‘
elif int(x)>int(‘43890‘):
return ‘未网签‘
return ‘已网签‘
if __name__==‘__main__‘:
csv_file=open(‘房源清单处理.csv‘,‘w+‘,newline=‘‘,encoding=‘utf-8‘)
writer=csv.writer(csv_file)
fileName=r‘/Users/Desktop/python/python生成现金流套表/房源清单.csv‘
df=pd.read_csv(fileName)
df[‘面积段分布‘]=df.预测建筑面积.apply(mjdfb)
df[‘预售证状态‘]=df.预售许可证取证日期.apply(yszzt)
df[‘认购状态‘]=df.认购日期.apply(rgzt)
df[‘签约状态‘]=df.签约日期.apply(qyzt)
df[‘网签状态‘]=df.网签日期.apply(wqzt)
df[‘已取证未认购‘]=df[‘预售证状态‘]+df[‘认购状态‘]
df[‘已认购未签约‘]=df[‘认购状态‘]+df[‘签约状态‘]
df[‘已签约未网签‘]=df[‘签约状态‘]+df[‘网签状态‘]
# print(‘2020/1/1‘-datetime.date.today())
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