答案已在https://stackoverflow.com/questions/74844262/how-to-solve-error-numpy-has-no-attribute-float-in-python#comment132085333_74844262>@mattdmo和

• NumPy 1.20https://numpy.org/doc/stable/release/1.20.0-notes.html#deprecations”rel=“noreferer”>(请注明) deprecated numpy.float,, 和类似的别名,致使它们发出降级警告

• NumPy 1.24(release notes)完全删除了这些内容,因此<>>strongerror。 使用时

在许多情况下,你可以简单地用等效法的灰色素类取代已折旧的NumPy类,例如,numpy.float 成为“原告”<float。

For detailed guidelines on how to deal with various deprecated types, have a closer look at the table and guideline in the release notes for 1.20:

......

为绝大多数案件提供明确的指导方针,即使用平原版本的<代码>bool、object、str(和unicode)的类型是短、清楚的,而且一般来说是好的替代。 float和complex 页: 1 如果你希望更明确地说明准确性。

<代码>np.int, 直接替换为np.int_或int>,也很好,不会改变行为,但准确性将继续取决于计算机和操作系统。 如果你想更明确并审查目前的使用情况,你有以下选择:

• np.int64 or np.int32 to specify the precision exactly. This ensures that results cannot depend on the computer or operating system.
• np.int_ or int (the default), but be aware that it depends on the computer and operating system.
• The C types: np.cint (int), np.int_ (long), np.longlong.
• np.intp which is 32bit on 32bit machines 64bit on 64bit machines. This can be the best type to use for indexing.

......

如果你们有使用所解释的类型的依赖,那么快速的工作将是把你的NumPy版本撤回到1.24或更少(如其他一些答复中所建议的那样),同时等待依赖才能赶上。 或者,你可以制造一个包裹,提出拉动要求,或用mon子把依赖性装在你自己的法典中。

In the 1.24 version:

The deprecation for the aliases np.object, np.bool, np.float, np.complex, np.str, and np.int is expired (introduces NumPy 1.20). Some of these will now give a FutureWarning in addition to raising an error since they will be mapped to the NumPy scalars in the future.

<代码>pip 安装“numpy<1.24”,以围绕它开展工作。

In [1]: import numpy as np

In [2]: np.__version__
Out[2]:  1.23.5 

In [3]: np.float(3)
<ipython-input-3-8262e04d58e1>:1: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, 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.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  np.float(3)
Out[3]: 3.0

你们可以使用下列mon子,来管理:

np.float = float    
np.int = int   #module  numpy  has no attribute  int 
np.object = object    #module  numpy  has no attribute  object 
np.bool = bool    #module  numpy  has no attribute  bool 

I solved by updating my "openpyxl" using

{pip install --upgrade openpyxl}

错误在试图读取物时出现。

我删除了numpy.py,然后更新了我的NumPy装置。 它工作了!

注:NumPy版本1.23.3

我在阅读一个xlsx文档时也面临同样的问题。 你们可以把它变为现实,这将解决这个问题。 然而,为了更新 n,你需要获得 n素包的目录:

import numpy
print(numpy.__path__)

更新时,可使用以下代码:

pip install numpy --upgrade

You can also check this page: How can I upgrade NumPy?

numpy-1.24.3

链接: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations 。

>>float

>>numpy.float64

>>numpy.double

>>numpy.float_