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group by 相关的d1 为 dataframe type 的数据// get count value of group and the order is descending by the value of countd1.groupby(["ip"],as_index=False).count().sort_values(by=["id"],ascending=False)//re...

1. 合并多个dataframed1、d2、d3、d4是dataframe// frames=[d1,d2,d3,d4]total=pd.concat(frames)2.选择在另一个dataframe的数据d5=total[d4["id"].isin(d3["id"])]3.针对dataframe的某一列去重、drop na，保留重复的第一个total1=total.drop_...