R語言構建RFM模型瞭解一下~~~
阿新 • • 發佈：2019-02-04
np.random.seed(233333)
os.chdir('D:/R/File')
pd.set_option('display.float_format', lambda x: '%.3f' % x) with spss.SavReader('trade.sav',returnHeader = True ,ioUtf8=True,rawMode = True,ioLocale='chinese') as reader: mydata = pd.DataFrame(list(reader)[1:],columns = list(reader)[0]) mydata['交易日期'] = mydata['交易日期'
mydata['interval'] = [(datetime.now() - pd.to_datetime(i,format ='%Y %m %d')).days for i in mydata['PayDate']]
mydata = mydata.astype({'OrderID':'int64','UserID':'int64'
print('---------#######-----------')
print(mydata.head())
print('---------#######-----------')
print(mydata.tail())
print('…………………………………………………………………………')
print(mydata.dtypes)
print('---------#######------------')
os.chdir('D:/R/File')
pd.set_option('display.float_format', lambda x: '%.3f' % x) with spss.SavReader('trade.sav',returnHeader = True ,ioUtf8=True,rawMode = True,ioLocale='chinese') as reader: mydata = pd.DataFrame(list(reader)[1:],columns = list(reader)[0]) mydata['交易日期'] = mydata['交易日期'
mydata['interval'] = [(datetime.now() - pd.to_datetime(i,format ='%Y %m %d')).days for i in mydata['PayDate']]
mydata = mydata.astype({'OrderID':'int64','UserID':'int64'
print('---------#######-----------')
print(mydata.head())
print('---------#######-----------')
print(mydata.tail())
print('…………………………………………………………………………')
print(mydata.dtypes)
print('---------#######------------')