（一）报错情况如下

import cvxpy as cp
from numpy import array

c = array([40, 90])  # 定义目标向量
a = array([[9, 7], [-7, -20]])  # 定义约束矩阵
b = array([56, -70])  # 定义约束条件的右边向量
x = cp.Variable(2, integer=True)  # 定义两个整数决策变量
obj = cp.Minimize(c @ x)  # 构造目标函数
cons = [a @ x <= b, x >= 0]  # 构造约束条件
prob = cp.Problem(obj, cons)  # 构建问题模型
prob.solve(solver='GLPK_MI', verbose=True)  # 求解问题
print("最优值为:", prob.value)
print("最优解为：\n", x.value)

报错如下：
importError ：numpy.core.multiarrary failed to import

（二）解决方法

2.1 方法一:重新安装numpy

importError ：numpy.core.multiarrary failed to import：属于numpy版本出错。
可能是pip install cvxpy···.whl文件时，扰乱了numpy的版本。
解决步骤：

进入Anaconda promp 命令中。
卸载numpy(pip uninstall numpy)

重新安装numpy(pip install numpy)即可。
但是可能会导致你的tensoflow版本与现在numpy版本埠匹配，所以之后使用tf时，还需要重新安装对应版本的numpy。不过问题不大，这些安装都很简单。（我在从新安装numpy就出现了这种情况，如下图。）
在这里插入图片描述
这样cvxpy就可以成功运行了，上述代码运行结果如下：

  D:\ProgramData\Anaconda3\python.exe C:/Users/Administrator/PycharmProjects/pythonProject/数学建模/线性规划/线性规划3.py
  ===============================================================================
                                       CVXPY                                     
                                      v1.1.13                                    
  ===============================================================================
  (CVXPY) Jul 31 12:36:41 PM: Your problem has 2 variables, 2 constraints, and 0 parameters.
  (CVXPY) Jul 31 12:36:41 PM: It is compliant with the following grammars: DCP, DQCP
  (CVXPY) Jul 31 12:36:41 PM: (If you need to solve this problem multiple times, but with different data, consider using parameters.)
  (CVXPY) Jul 31 12:36:41 PM: CVXPY will first compile your problem; then, it will invoke a numerical solver to obtain a solution.
  -------------------------------------------------------------------------------
                                    Compilation                                  
  -------------------------------------------------------------------------------
  (CVXPY) Jul 31 12:36:41 PM: Compiling problem (target solver=GLPK_MI).
  (CVXPY) Jul 31 12:36:41 PM: Reduction chain: Dcp2Cone -> CvxAttr2Constr -> ConeMatrixStuffing -> GLPK_MI
  (CVXPY) Jul 31 12:36:41 PM: Applying reduction Dcp2Cone
  (CVXPY) Jul 31 12:36:41 PM: Applying reduction CvxAttr2Constr
  (CVXPY) Jul 31 12:36:41 PM: Applying reduction ConeMatrixStuffing
  (CVXPY) Jul 31 12:36:41 PM: Applying reduction GLPK_MI
  (CVXPY) Jul 31 12:36:41 PM: Finished problem compilation (took 3.001e-03 seconds).
  -------------------------------------------------------------------------------
                                  Numerical solver                               
  -------------------------------------------------------------------------------
  (CVXPY) Jul 31 12:36:41 PM: Invoking solver GLPK_MI  to obtain a solution.
        0: obj =   2.700000000e+02 inf =   6.250e-01 (1)
        1: obj =   3.150000000e+02 inf =   0.000e+00 (0)
  Long-step dual simplex will be used
  +     1: mip =     not found yet >=              -inf        (1; 0)
  Solution found by heuristic: 360
  +     2: >>>>>   3.500000000e+02 >=   3.500000000e+02   0.0% (1; 0)
  +     2: mip =   3.500000000e+02 >=     tree is empty   0.0% (0; 1)
  -------------------------------------------------------------------------------
                                      Summary                                    
  -------------------------------------------------------------------------------
  (CVXPY) Jul 31 12:36:41 PM: Problem status: optimal
  (CVXPY) Jul 31 12:36:41 PM: Optimal value: 3.500e+02
  (CVXPY) Jul 31 12:36:41 PM: Compilation took 3.001e-03 seconds
  (CVXPY) Jul 31 12:36:41 PM: Solver (including time spent in interface) took 0.000e+00 seconds
  最优值为: 350.0
  最优解为：
   [2. 3.]

2.2 方法二：重新安装cvxpy

2.2.1方法一：安装cvxpy

Python下载并安装第三方库（cvxpy）

2.2.2方法二：安装cvxpy

1. 进入Anaconda promp 命令中，pip uninstall cvxpy,如果卸载不了，直接进去D:\ProgramData\Anaconda3\Lib\site-packages中找到cvxpy文件夹删除。(注意：你们要找到自己安装路径，我用的时Anaconda所以是上面的路径)
1. 输入两行命令

	 conda install -c conda-forge lapacl
	 conda install -c cvxgrp cvxpy

1. 即可安装成功。
  方法二详细解释：windows 安装 cvxpy 的正确打开方式： cvx的python版本

解决importError ：numpy.core.multiarrary failed to import

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