如下所示：
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s1 = pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])s2 = pd.Series([10, 20, 30, 40], index=['a', 'b', 'c', 'd'])print s1 + s2 |
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a 11b 22c 33d 44dtype: int64 |
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s1 = pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])s2 = pd.Series([10, 20, 30, 40], index=['b', 'd', 'a', 'c'])print s1 + s2 |
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a 31b 12c 43d 24dtype: int64 |
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s1 = pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])s2 = pd.Series([10, 20, 30, 40], index=['c', 'd', 'e', 'f'])print s1 + s2 |
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a NaNb NaNc 13.0d 24.0e NaNf NaNdtype: float64 |
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s1 = pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])s2 = pd.Series([10, 20, 30, 40], index=['e', 'f', 'g', 'h'])print s1 + s2 |
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a NaNb NaNc NaNd NaNe NaNf NaNg NaNh NaNdtype: float64 |
以上这篇pandas 将索引值相加的方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持服务器之家。
原文链接：https://blog.csdn.net/chuan403082010/article/details/79429819
