首页ufunc 'add' did not contain a loop with signature matching types (dtype('<U4'), dtype('float64')) -> None

ufunc 'add' did not contain a loop with signature matching types (dtype('<U4'), dtype('float64')) -> None

时间: 2023-12-14 20:02:29 浏览: 131

基于DataFrame改变列类型的方法

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今天用numpy 的linalg.det()求矩阵的逆的过程中出现了一个错误： TypeError: No loop matching the specified signature and casting was found for ufunc det 查了半天发现是数据类型的问题，numpy在算逆的时候会先检查一下数据类型是否一致，若不一致就会报错（话说这个错误提示信息也太难理解了，还得看源码o(╯□╰)o）。由于我的数据是用pandas.DataFrame读取的，所以每一列的数据类型有可能不同。回头检查一下数据，果然有的是int，有的是float。所以全部改为float64类型。

This error message indicates that there is a problem with the input types of the 'add' ufunc. Specifically, the ufunc is expecting two arrays with types dtype('<U4') (unicode strings with 4 or fewer characters) and dtype('float64') (64-bit floating point numbers), but it could not find a matching loop to perform the operation. To fix this error, you may need to check the input types of your arrays and ensure that they match the expected types for the 'add' ufunc. Alternatively, you may need to use a different ufunc or perform type conversions on your input arrays before using the 'add' ufunc.

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