AttributeError: module 'numpy' has no attribute 'bool'. `np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations C:\ProgramData\Anaconda3\lib\site-packages\pandas\_testing.py:24: FutureWarning: In the future `np.bool` will be defined as the corresponding NumPy scalar. import pandas._libs.testing as _testing C:\ProgramData\Anaconda3\lib\site-packages\pandas\_testing.py:24: FutureWarning: In the future `np.bool` will be defined as the corresponding NumPy scalar. import pandas._libs.testing as _testing

这个错误是因为你在代码中使用了`np.bool`，而在最新的NumPy版本中，`np.bool`已经被弃用了。为了解决这个问题，你可以直接使用`bool`来替代`np.bool`。这样做不会改变任何行为，而且是安全的。如果你确实需要使用NumPy的标量类型，可以使用`np.bool_`代替。

另外，你可能还会看到一些关于未来警告的信息，这是因为在未来的版本中，`np.bool`将被定义为相应的NumPy标量。不过，为了保持兼容性，建议你尽快修改代码中的`np.bool`。

如果你需要更多详细信息和指导，请参考NumPy的发布说明文档：https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

相关问题

AttributeError: module 'numpy' has no attribute 'bool'. `np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:

这个错误通常表示您的代码中使用了已经被弃用的`np.bool`别名，而最新的NumPy版本已经不再支持此别名。为了解决此问题，您可以按照错误信息中提到的建议进行修改。

具体来说，您需要将代码中的`np.bool`替换为`bool`。如果您确实需要使用NumPy标量类型，可以使用`np.bool_`。

如果出现此错误，建议您更新您的代码以使用最新的NumPy版本，并遵循最新的NumPy文档中的建议来编写代码。这样可以避免以后出现与已弃用别名相关的问题。

AttributeError: module 'numpy' has no attribute 'int'. `np.int` was a deprecated alias for the builtin `int`. To avoid this error in existin

g code, you can simply replace all instances of `np.int` with `int`.

For example, if you have code that looks like this:

import numpy as np

x = np.array([1, 2, 3], dtype=np.int)

You can change it to:

import numpy as np

x = np.array([1, 2, 3], dtype=int)

This will avoid the `AttributeError` and ensure that your code will continue to work with future versions of NumPy.