下面是一个实例:
#选取并构建LRFMC模型的特征
airline_selection = airline[["FFP_DATE","LOAD_TIME","FLIGHT_COUNT","LAST_TO_END",
"avg_discount","SEG_KM_SUM"]] #筛选多个列要用两个中括号
#构建L特征
L = pd.to_datetime(airline_selection["LOAD_TIME"]) - pd.to_datetime(airline_selection["FFP_DATE"])
#相减之后变成以day为单位的列
print(pd.to_datetime(airline_selection["LOAD_TIME"])[0:3])
print(L[0:3])
#下面两句实现了 225 days,将这个Timedelta转化为按月份计算的可以数值形式(int或float)
#选取并构建LRFMC模型的特征
airline_selecti