生成10*3矩阵的原代码

random_values = np.round(np.random.normal(mean, std_deviation, (num_rows, num_columns)), 
2)
b_values = np.sort(random_values, axis=1)[:, ::-1]
weights = np.array([0.2, 0.5, 0.3])
y_values = np.round(np.dot(b_values, weights), 2)

从原始矩阵中删除随机值

def drop_random_value(matrix):
    for i in range(matrix.shape[0]):
    # Get a random index within the row
    random_index = np.random.randint(matrix.shape[1])
    
    # Set the value at the random index to NaN
    matrix[i, random_index] = np.nan

从B_values中删除随机值

drop_random_value(b_values)

   print("Modified b_values:")
   print(b_values)

Expected Output:
[[0.93  0.12 ]
 [0.4   0.4  ]
 [0.64  0.23 ]
 [0.56  0.56 ]
 [0.44  0.41 ]
 [0.55  0.55 ]
 [0.52  0.23 ]
 [0.69  0.69 ]
 [0.62  0.405]
 [0.71  0.53 ]]

Actual Output:[[0.93    nan 0.12 ]
               [  nan 0.4   0.4  ]
               [0.64    nan 0.23 ]
               [0.56  0.56    nan]
               [0.44  0.41    nan]
               [0.55  0.55    nan]
               [  nan 0.52  0.23 ]
               [0.69  0.69    nan]
               [0.62  0.405   nan]
               [  nan 0.71  0.53 ]]

你能帮助我达到预期的产量吗