import numpy as np
import matplotlib.pyplot as plt

x,y,min_x,max_x,min_y,max_y,X,mesh_step_size= 10,10,2,9,1,7,10,10

def visualize(c,x,y):
  global min_x,max_x,min_y,max_y,X
  min_x,max_x = ...
  min_y,max_y = ...

x_vals,y_vals = np.meshgrid(np.arange(min_x,max_x, mesh_step_size))

    # Run the classifier on the mesh grid
output = c.predict(np.c_[x_vals.ravel(), y_vals.ravel()])
    # Reshape the output array
output = output.reshape(x_vals.shape)

    # Create a plot
plt.figure()
    # Choose a color scheme for the plot
plt.pcolormesh(x_vals, y_vals, output, cmap=plt.cm.gray)
    # Overlay the training points on the plot
plt.scatter(X[:, 0], X[:, 1], c=y, s=75, edgecolors='black',
linewidth=1, cmap=plt.cm.Paired)
    
# Specify the boundaries of the plot
plt.xlim(x_vals.min(), x_vals.max())
plt.ylim(y_vals.min(), y_vals.max())
    # Specify the ticks on the X and Y axes
plt.xticks((np.arange(int(X[:, 0].min() - 1), int(X[:, 0].max() + 1),
1.0)))
plt.yticks((np.arange(int(X[:, 1].min() - 1), int(X[:, 1].max() + 1),
1.0)))
plt.show()

我得到了这个错误，请帮助！！！！！！！！！！！！ 回溯（最后一次调用）:文件“d:\ai using python\logistic Regression 2.py”，第11行，x_vals，y_vals=np.meshgrid(np.arange(min_x，max_x，mesh_step_size))值错误:没有足够的值来解包（应为2，得到1）