第1关 Pandas分组聚合
import pandas as pd
import numpy as np# 返回最大值与最小值的和
def sub(df):########## Begin #########result=df.max()-df.mean()########## End #########
def jicha(arr):result=arr.max()-arr.min()return result
# 得到目标DataFrame
def main():########## Begin #########df=pd.read_csv("step1/drinks.csv")result=df.groupby(by="continent").agg({"wine_servings":jicha,"beer_servings":np.sum})########## End #########return result
第2关 Pandas创建透视表和交叉表
#-*- coding: utf-8 -*-
import pandas as pd#创建透视表
def create_pivottalbe(data):########## Begin ##########df = data.pivot_table(index=['day'],columns=['time'],values=['tip'],aggfunc=sum,margins=True)return df ########## End ###########创建交叉表
def create_crosstab(data):########## Begin ##########df1 = pd.crosstab(index=data['day'],columns=data['time'],values=data['tip'],aggfunc=sum,margins=True)return df1 ########## End ##########def main():#读取csv文件数据并赋值给data########## Begin ##########data= pd.read_csv('step2/tip.csv')########## End ##########piv_result = create_pivottalbe(data)cro_result = create_crosstab(data)print("透视表：\n{}".format(piv_result))print("交叉表：\n{}".format(cro_result))
)
