20-pandas聚合
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import numpy as np import pandas as pd #1.聚合一次 df=pd.DataFrame({"age":[18,20,22,22,23,23], "name":["A","B","C","D","E","F"], "price1":[1000,900,800,700,600,600], "price2":[10,9,8,7,6,6]}) print(df) result1=df.groupby("age")["price1"]#按照age抓取price print(result1.groups) print(result1.sum())#总和 print(result1.mean())#平均 print(result1.max()) print(result1.min()) #2.聚合多次 d1={‘item‘:[‘萝卜‘,‘白菜‘,‘辣椒‘,‘冬瓜‘,‘萝卜‘,‘白菜‘,‘辣椒‘,‘冬瓜‘], ‘color‘:[‘white‘,‘white‘,‘red‘,‘green‘,‘white‘,‘white‘,‘red‘,‘green‘], ‘weight‘:[1,2,3,4,1,2,3,4], ‘price‘:[1,2,3,4,1,2,3,4]} df=pd.DataFrame(d1) result=df.groupby("color")["price"] print(result.groups) print(result.sum()["white"]) print(result.sum()["red"]) print(result.max()["white"]) print(result.mean()["white"]) result2=df.groupby("item")["price","weight"] print(result2.groups) print(result2.sum()["weight"]["萝卜"]) print(result2.sum()["weight"].萝卜) sums=df.groupby("color").sum().add_prefix("avg__") print(sums) print(pd.merge(pd,sums,left_on="color",right_index=True))
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