numpy 如何从另一个 Dataframe 重命名行中的值及其标签

42fyovps 于 2023-01-30 发布在其他

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我有两个 Dataframe ，df1有编码数据，df2有代码及其标签，我想用df1中的标签替换代码。

df1 - 
VBC  VDV
1     5
1     7
2     9
2    10

df2 - 
QCcode    Response     Label
VBC           1         Male
VBC           2        Female
VDV           5        Advertising
VDV           9        Marketing

我试图得到类似于下面的输出：

df_op - 

VBC    VDV
Male    Advertising
Male    Advertising
Female  Marketing

numpy

来源：https://stackoverflow.com/questions/75231731/how-to-rename-the-values-in-the-rows-with-their-labels-from-an-another-dataframe

1条答案

按热度按时间

bgtovc5b1#

试试这些代码

df1 = pd.DataFrame(data={
    "VBC":[1,1,2,2],
    "VDV":[5,7,9,10]
    })

df2 = pd.DataFrame(data={
    "QCcode":["VBC","VBC","VDV","VDV"],
    "Response":[1,2,5,9],
    "Label":["Male","Female","Advertising","Marketing"]
    })

df2_dict = df2.set_index(list(df2.columns[:2])).to_dict()

con = pd.DataFrame()
for c,part in df1.items():
    part = part.apply(lambda x: df2_dict["Label"].get((c, x)))
    con = pd.concat([con, part], axis=1)

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numpy 如何从另一个 Dataframe 重命名行中的值及其标签

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