导入nibabel遇AttributeError：numpy无float属性，求解决方法

问题 #

安装nibabel库后尝试导入时出现错误：AttributeError: module 'numpy' has no attribute 'float'，更换不同版本的numpy后问题仍未解决。

报错堆栈 #

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-2-954ce44cd9c4> in <module>
----> 1 import nibabel as nb
      2 import matplotlib.pyplot as plt
      3 import numpy as np
      4 import sys

3 frames
/usr/local/lib/python3.9/dist-packages/numpy/__init__.py in __getattr__(attr)
    303 
    304         if attr in __former_attrs__:
--> 305             raise AttributeError(__former_attrs__[attr])
    306 
    307         # Importing Tester requires importing all of UnitTest which is not a

AttributeError: module 'numpy' has no attribute 'float'.
`np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` 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

可行解决办法 #

• 升级nibabel到最新版本：该错误源于旧版nibabel依赖numpy已废弃的np.float别名，新版nibabel已修复此兼容性问题。执行命令：

  pip install --upgrade nibabel
  

• 临时兼容补丁（仅应急使用）：若暂时无法升级nibabel，可在导入前手动添加别名绕过错误，在代码开头加入：

  import numpy as np
  np.float = float
  import nibabel as nb
  

  注意：此方法仅为临时方案，长期使用仍建议升级库以避免其他潜在问题

• 锁定兼容的numpy版本：如果需要保留特定版本的nibabel，可查看对应nibabel版本的官方说明，安装其兼容的numpy版本（例如较老的nibabel版本通常兼容numpy<1.24），执行命令：

  pip install numpy<1.24
  

内容的提问来源于stack exchange，提问作者O-Negative