Python 如何在pandas中搜索值的元组？

我正在尝试编写一个函数，以在数据帧中交换目标字典和结果。我想匹配一组值并交换新值。我尝试按如下方式构建它，但行选择不起作用。我觉得我缺少了一些重要的功能

import pandas
testData=pandas.DataFrame([["Cats","Parrots","Sandstone"],["Dogs","Cockatiels","Marble"]],columns=["Mammals","Birds","Rocks"])
target=("Mammals","Birds")
swapVals={("Cats","Parrots"):("Rats","Canaries")}
for x in swapVals:
    #Attempt 1:
    #testData.loc[x,target]=swapVals[x]
    #Attempt 2:
    testData[testData.loc[:,target]==x,target]=swapVals[x]

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这是用Python2编写的，但是基本思想应该适合您。它使用应用功能：

import pandas
testData=pandas.DataFrame([["Cats","Parrots","Sandstone"],["Dogs","Cockatiels","Marble"]],columns=["Mammals","Birds","Rocks"])
swapVals={("Cats","Parrots"):("Rats","Canaries")}
target=["Mammals","Birds"]

def swapper(in_row):
    temp =tuple(in_row.values)
    if temp in swapVals:
        return list(swapVals[temp])
    else:
        return in_row

testData[target] = testData[target].apply(swapper, axis=1)

testData

import pandas
testData=pandas.DataFrame([["Cats","Parrots","Sandstone"],["Dogs","Cockatiels","Marble"]],columns=["Mammals","Birds","Rocks"])
swapVals={("Cats","Parrots"):("Rats","Canaries"), ("Dogs","Cockatiels"):("Dogs","Cockatiels")}
target=["Mammals","Birds"]

testData[target] = testData[target].apply(lambda x: list(swapVals[tuple(x.values)]), axis=1)

testData

请注意，如果将其他键加载到dict中，则可以在不使用交换程序功能的情况下执行应用：

import pandas
testData=pandas.DataFrame([["Cats","Parrots","Sandstone"],["Dogs","Cockatiels","Marble"]],columns=["Mammals","Birds","Rocks"])
swapVals={("Cats","Parrots"):("Rats","Canaries")}
target=["Mammals","Birds"]

def swapper(in_row):
    temp =tuple(in_row.values)
    if temp in swapVals:
        return list(swapVals[temp])
    else:
        return in_row

testData[target] = testData[target].apply(swapper, axis=1)

testData

import pandas
testData=pandas.DataFrame([["Cats","Parrots","Sandstone"],["Dogs","Cockatiels","Marble"]],columns=["Mammals","Birds","Rocks"])
swapVals={("Cats","Parrots"):("Rats","Canaries"), ("Dogs","Cockatiels"):("Dogs","Cockatiels")}
target=["Mammals","Birds"]

testData[target] = testData[target].apply(lambda x: list(swapVals[tuple(x.values)]), axis=1)

testData

---

这是用Python2编写的，但是基本思想应该适合您。它使用应用功能：

import pandas
testData=pandas.DataFrame([["Cats","Parrots","Sandstone"],["Dogs","Cockatiels","Marble"]],columns=["Mammals","Birds","Rocks"])
swapVals={("Cats","Parrots"):("Rats","Canaries")}
target=["Mammals","Birds"]

def swapper(in_row):
    temp =tuple(in_row.values)
    if temp in swapVals:
        return list(swapVals[temp])
    else:
        return in_row

testData[target] = testData[target].apply(swapper, axis=1)

testData

import pandas
testData=pandas.DataFrame([["Cats","Parrots","Sandstone"],["Dogs","Cockatiels","Marble"]],columns=["Mammals","Birds","Rocks"])
swapVals={("Cats","Parrots"):("Rats","Canaries"), ("Dogs","Cockatiels"):("Dogs","Cockatiels")}
target=["Mammals","Birds"]

testData[target] = testData[target].apply(lambda x: list(swapVals[tuple(x.values)]), axis=1)

testData

请注意，如果将其他键加载到dict中，则可以在不使用交换程序功能的情况下执行应用：

import pandas
testData=pandas.DataFrame([["Cats","Parrots","Sandstone"],["Dogs","Cockatiels","Marble"]],columns=["Mammals","Birds","Rocks"])
swapVals={("Cats","Parrots"):("Rats","Canaries")}
target=["Mammals","Birds"]

def swapper(in_row):
    temp =tuple(in_row.values)
    if temp in swapVals:
        return list(swapVals[temp])
    else:
        return in_row

testData[target] = testData[target].apply(swapper, axis=1)

testData

import pandas
testData=pandas.DataFrame([["Cats","Parrots","Sandstone"],["Dogs","Cockatiels","Marble"]],columns=["Mammals","Birds","Rocks"])
swapVals={("Cats","Parrots"):("Rats","Canaries"), ("Dogs","Cockatiels"):("Dogs","Cockatiels")}
target=["Mammals","Birds"]

testData[target] = testData[target].apply(lambda x: list(swapVals[tuple(x.values)]), axis=1)

testData

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请提供所需数据样本，您希望实现请提供所需数据样本，您希望实现