I recently completed the Perceptron Skill Path Project and the heat map of the separator of the AND gate displays differently than that of the ‘get help’ video. I have reviewed the code and it appears to match. Please advise if this is due to error, or the cause of the difference.

Code:

```
import codecademylib3_seaborn
from sklearn.linear_model import Perceptron
import matplotlib.pyplot as plt
import numpy as np
from itertools import product
data = [ [0, 0], [0, 1], [1, 0], [1, 1] ]
labels = [ 0, 0, 0, 1]
plt.scatter([point[0] for point in data],
[point[1] for point in data],
c=labels)
classifier = Perceptron(max_iter=40)
classifier.fit(data, labels)
x_values = np.linspace(0, 1, 100)
y_values = np.linspace(0, 1, 100)
point_grid = list(product(x_values, y_values))
distances = classifier.decision_function(point_grid)
abs_distances = [abs(pt) for pt in distances]
distances_matrix = np.reshape(abs_distances, (100, 100))
print(classifier.score(data, labels))
print(classifier.decision_function([[0, 0], [1, 1], [0.5, 0.5]]))
heatmap = plt.pcolormesh(x_values, y_values, distances_matrix)
plt.colorbar(heatmap)
plt.show()
```

My heat map:

Get Help heat map:

Any explanation is greatly appreciated!