ufunc 'add' did not contain a loop with signature matching types (dtype('float64'), dtype(' None什么意思

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相关问题

ufunc 'add' did not contain a loop with signature matching types (dtype('float64'), dtype('<U8')) -> None

这个错误通常是由于在NumPy中使用的ufunc函数（例如add）的输入类型不匹配引起的。在你的情况下，错误消息指出了一个匹配类型为(dtype('float64'), dtype('<U8'))的输入的循环不存在。

这个错误可能是由于对不兼容的数据类型进行了操作。确保你的输入数组具有相同的数据类型，以避免此错误。你可以使用astype()函数来显式地转换数组的数据类型。

例如，如果你想将一个字符串数组和一个浮点数数组相加，你可以将字符串数组转换为浮点数数组，然后再进行相加操作。

以下是一个示例代码：

import numpy as np

# 创建一个字符串数组
arr1 = np.array(['1.2', '3.4', '5.6'])

# 创建一个浮点数数组
arr2 = np.array([1.0, 2.0, 3.0])

# 将字符串数组转换为浮点数数组
arr1 = arr1.astype(float)

# 执行相加操作
result = np.add(arr1, arr2)
print(result)

在这个示例中，我们首先将字符串数组`arr1`转换为浮点数数组，然后使用`np.add()`函数执行相加操作。

请确保你的输入数据类型是兼容的，并根据需要进行必要的转换。如果问题仍然存在，请提供更多的代码和错误信息，以便我能够更好地帮助你解决问题。

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

This error message suggests that there is an issue with the input data types being used with the 'add' ufunc. Specifically, it seems that the 'add' ufunc is expecting inputs of type float64, but one of the inputs is of type '<U4' (which likely represents a Unicode string with a length of 4 characters).

To resolve this issue, you may need to convert the input data to the correct type before passing it to the 'add' ufunc. For example, if you have a numpy array with mixed data types, you could use the astype() method to convert all elements to a specific data type:

import numpy as np

# create a mixed-type numpy array
arr = np.array(['1', 2, 3.0, '4.0'])

# convert all elements to float64
arr = arr.astype('float64')

# use the 'add' ufunc to add two arrays
result = np.add(arr, [5.0, 6.0, 7.0, 8.0])

In this example, the astype() method is used to convert all elements in the 'arr' array to float64. The 'add' ufunc can then be used to add the 'arr' array to another array of float64 values.