ufunc 'add' did not contain a loop with signature matching types (dtype('<U4'), dtype('float64')) -> None
时间: 2023-12-14 13:02:26 浏览: 33
This error message indicates that you are trying to perform addition between a string data type and a floating-point data type using the NumPy 'add' ufunc. However, there is no loop defined for this particular data type combination in the 'add' ufunc, hence the error.
To resolve this error, you will need to ensure that the data types of the operands passed to the 'add' ufunc are compatible with each other. For example, you can convert the string data type to a floating-point data type using the 'astype' method:
```
import numpy as np
# create a string array and a floating-point array
a = np.array(['1.0', '2.0', '3.0'])
b = np.array([4.0, 5.0, 6.0])
# convert the string array to a floating-point array
a = a.astype(float)
# perform addition between the two arrays
c = np.add(a, b)
print(c)
```
Output:
```
[ 5. 7. 9.]
```
In this example, we first converted the string array 'a' to a floating-point array using the 'astype' method. Then, we performed element-wise addition between the two arrays using the 'add' ufunc and stored the result in the 'c' array. Finally, we printed the result.