如何根据另一列中的唯一值将值分组？

Question

姓名支付

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一个32

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s 423

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d 342

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s 243

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s 686

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s 78

我尝试了groupby方法，然后进行查找和合并，合并，转置，剪切等操作。似乎没有任何办法可以解决问题。有什么建议吗？

a s d

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32 423 342

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46 243 67

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NaN 686 NaN

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NaN 78 NaN

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NaN 34 NaN

Answer 1

尝试使用pandas.pivot_table：

df.pivot_table(index=df.groupby("Name").cumcount(), values="Pay", columns="Name")

输出：

Name     a      d      s
0     32.0  342.0  423.0
1     46.0   67.0  243.0
2      NaN    NaN  686.0
3      NaN    NaN   78.0
4      NaN    NaN   34.0

[Program finished]