Matplotlib heatmap

Below you have several examples of code and three heatmaps corresponding to them. Match the number of the code snippet to the heatmap it outputs. The name of your dataset is cars.corr(). Note that one of the snippets is incorrect!

Code 1:

plt.imshow(cars.corr(), cmap='Blues', interpolation=None)
plt.colorbar()
plt.gcf().set_size_inches(6, 6)

plt.xticks(range(len(cars.corr().columns)), cars.corr().columns, rotation=90)
plt.yticks(range(len(cars.corr().columns)), cars.corr().columns)

plt.title('Cars \n')

Code 2:

plt.imshow(cars.corr(), cmap='Blues')
plt.colorbar(orientation='horizontal')
plt.gcf().set_size_inches(7, 7)

labels = cars.corr().values
for a in range(labels.shape[0]):
    for b in range(labels.shape[1]):
        plt.text(a, b, '{:.2f}'.format(labels[b, a]), ha='center', va='center', color='black')
        
plt.title('Cars \n')

Code 3:

plt.imshow(X=cars.corr(), cmap='Blues')
plt.colorbar()

plt.xticks(range(len(cars.corr().columns)), cars.corr().columns, rotation=45)
plt.yticks(range(len(cars.corr().columns)), cars.corr().columns)

plt.title('Cars \n')

Code 4:

plt.imshow(Y=cars.corr(), cmap='Blues')
plt.colorbar()

plt.xticks(range(len(cars.corr().values)), cars.corr().columns, rotation=45)
plt.yticks(range(len(cars.corr().columns)), cars.corr().columns)

plt.title('Cars \n')

Heatmap A:

Heatmap B:

Heatmap C: