importpandas as pd
l1=list()#tprice代表总价
d10={“date”:”2021-01-03″,”tprice”:10000}
d11={“date”:”2021-01-04″,”tprice”:10200}
l1.append(d10)
l1.append(d11)
pd1= pd.DataFrame(l1,columns = [‘date’, ‘tprice’])print(pd1)
l2=list()#pnumber代表商品数量
d20={“date”:”2021-01-03″,”pnumber”:500}
d21={“date”:”2021-01-04″,”pnumber”:425}
l2.append(d20)
l2.append(d21)
pd2= pd.DataFrame(l2,columns = [‘date’, ‘pnumber’])print(pd2)#把两个dataFrame合并成一个新的dataFrame
pd_merge = pd.merge(pd1, pd2, left_on=”date”, right_on=”date”)print(pd_merge)#一个dataFrame的行数
i_rows =pd_merge.shape[0]print(“pd_merge 行数:%r” %(i_rows))#一个dataFrame的列数
i_cols = pd_m
Original: https://blog.csdn.net/weixin_36477752/article/details/112840061
Author: 一部咯
Title: python dataframe 列宽_python的dataFrame操作方法
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