如果您想了解numpybitwise_并且无法将参数1广播到输出数组的相关知识，那么本文是一篇不可错过的文章，我们将对无法将参数1从int转换为进行全面详尽的解释，并且为您提供关于"importnum

如果您想了解numpy bitwise_并且无法将参数1广播到输出数组的相关知识，那么本文是一篇不可错过的文章，我们将对无法将参数1从int转换为进行全面详尽的解释，并且为您提供关于"import numpy as np" ImportError: No module named numpy、3.7Python 数据处理篇之 Numpy 系列 (七)---Numpy 的统计函数、Anaconda Numpy 错误“Importing the Numpy C Extension Failed”是否有另一种解决方案、cvxpy 和 numpy 之间的版本冲突：“针对 API 版本 0xe 编译的模块，但此版本的 numpy 是 0xd”的有价值的信息。

• numpy bitwise_并且无法将参数1广播到输出数组（无法将参数1从int转换为）
• "import numpy as np" ImportError: No module named numpy
• 3.7Python 数据处理篇之 Numpy 系列 (七)---Numpy 的统计函数
• Anaconda Numpy 错误“Importing the Numpy C Extension Failed”是否有另一种解决方案
• cvxpy 和 numpy 之间的版本冲突：“针对 API 版本 0xe 编译的模块，但此版本的 numpy 是 0xd”

numpy bitwise_并且无法将参数1广播到输出数组（无法将参数1从int转换为）

根据Q＆A链接的答案，他们将进行修改以合并额外的暗部，如下所示。

方法1

def hamming_distance(a,b):
    r = (1 << np.arange(8))[:,None]
    mask = (a[:,None] & r) != (b & r)
    return mask.sum((1,2))

方法2

def hamming_distance_v2(a,None]
    xor = np.bitwise_xor(a[:,None],b)
    mask = (xor & r) != 0
    return mask.sum((1,2))

方法3

另一个与np.unpackbits-

def hamming_distance_v3(a,b):
    a = np.asarray(a,dtype=np.uint8)
    b = np.asarray(b,dtype=np.uint8)
    m = np.unpackbits(a,axis=1) != np.unpackbits(b)
    return m.sum(1)

样品运行-

In [107]: a
Out[107]: 
array([[127,255],[127,205],[227,255]])

In [108]: b
Out[108]: array([127,240])

In [109]: hamming_distance(a,b)
Out[109]: array([4,5,8])

"import numpy as np" ImportError: No module named numpy

问题：没有安装 numpy

解决方法：

下载文件，安装

numpy-1.8.2-win32-superpack-python2.7

安装运行 import numpy，出现

Traceback (most recent call last):
  File "<pyshell#2>", line 1, in <module>
    import numpy
  File "C:\Python27\lib\site-packages\numpy\__init__.py", line 153, in <module>
    from . import add_newdocs
  File "C:\Python27\lib\site-packages\numpy\add_newdocs.py", line 13, in <module>
    from numpy.lib import add_newdoc
  File "C:\Python27\lib\site-packages\numpy\lib\__init__.py", line 8, in <module>
    from .type_check import *
  File "C:\Python27\lib\site-packages\numpy\lib\type_check.py", line 11, in <module>
    import numpy.core.numeric as _nx
  File "C:\Python27\lib\site-packages\numpy\core\__init__.py", line 6, in <module>
    from . import multiarray
ImportError: DLL load failed: %1 不是有效的 Win32 应用程序。

原因是：python 装的是 64 位的，numpy 装的是 32 位的

重新安装 numpy 为：numpy-1.8.0-win64-py2.7

3.7Python 数据处理篇之 Numpy 系列 (七)---Numpy 的统计函数

目录

[TOC]

前言

具体我们来学 Numpy 的统计函数

（一）函数一览表

调用方式：np.*

（二）统计函数 1

（1）说明

（2）输出

.sum(a)

.mean(a)

.average(a)

.std(a)

.var(a)

（三）统计函数 2

（1）说明

（2）输出

.max(a) .min(a)

.ptp(a)

.median(a)

.argmin(a)

.argmax(a)

.unravel_index(index,shape)

作者：Mark

日期：2019/02/11 周一

Anaconda Numpy 错误“Importing the Numpy C Extension Failed”是否有另一种解决方案

  \Traceback (most recent call last):
File "C:\Conda\envs\gcp\lib\site-packages\numpy\core\__init__.py",line 22,in <module>
from . import multiarray
File "C:\Conda\envs\gcp\lib\site-packages\numpy\core\multiarray.py",line 12,in <module>
from . import overrides
File "C:\Conda\envs\gcp\lib\site-packages\numpy\core\overrides.py",line 7,in <module>
from numpy.core._multiarray_umath import (
ImportError: DLL load Failed while importing _multiarray_umath: The specified module Could not be found.

During handling of the above exception,another exception occurred:

Traceback (most recent call last):
File "c:\API\citi-bike.py",line 4,in <module>
import numpy as np
File "C:\Conda\envs\gcp\lib\site-packages\numpy\__init__.py",line 150,in <module>
from . import core
File "C:\Conda\envs\gcp\lib\site-packages\numpy\core\__init__.py",line 48,in <module>
raise ImportError(msg)
ImportError:

IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!

Importing the numpy C-extensions Failed. This error can happen for
many reasons,often due to issues with your setup or how NumPy was
installed.

We have compiled some common reasons and troubleshooting tips at:

https://numpy.org/devdocs/user/troubleshooting-importerror.html

Please note and check the following:

* The Python version is: python3.9 from "C:\Conda\envs\gcp\python.exe"
* The NumPy version is: "1.21.1"

and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.

Original error was: DLL load Failed while importing _multiarray_umath: The specified module Could not be found.

RuntimeError: module compiled against API version 0xe but this version of numpy is 0xd
Traceback (most recent call last):
  File "test.py",line 1,in <module>
    import cvxpy
  File "c:\Projekte\algo5\venv\lib\site-packages\cvxpy\__init__.py",line 18,in <module>
    from cvxpy.atoms import *
  File "c:\Projekte\algo5\venv\lib\site-packages\cvxpy\atoms\__init__.py",line 20,in <module>
    from cvxpy.atoms.geo_mean import geo_mean
  File "c:\Projekte\algo5\venv\lib\site-packages\cvxpy\atoms\geo_mean.py",in <module>
    from cvxpy.utilities.power_tools import (fracify,decompose,approx_error,lower_bound,File "c:\Projekte\algo5\venv\lib\site-packages\cvxpy\utilities\power_tools.py",in <module>
    from cvxpy.atoms.affine.reshape import reshape
  File "c:\Projekte\algo5\venv\lib\site-packages\cvxpy\atoms\affine\reshape.py",in <module>
    from cvxpy.atoms.affine.hstack import hstack
  File "c:\Projekte\algo5\venv\lib\site-packages\cvxpy\atoms\affine\hstack.py",in <module>
    from cvxpy.atoms.affine.affine_atom import AffAtom
  File "c:\Projekte\algo5\venv\lib\site-packages\cvxpy\atoms\affine\affine_atom.py",line 22,in <module>
    from cvxpy.cvxcore.python import canonInterface
  File "c:\Projekte\algo5\venv\lib\site-packages\cvxpy\cvxcore\python\__init__.py",line 3,in <module>
    import _cvxcore
ImportError: numpy.core.multiarray Failed to import

cvxpy 
numpy~=1.19.2 # tensorflow 2.4.1 requires this version

import cvxpy

if __name__ == ''__main__'':
    pass