How to plot center correctly in clustering matplotlib? [duplicate]

Question

i have plenty of time analyzing the center of the clustering, I also am able to plot the center, but i guess i am doing wrong as i cannot find it properly, i also have feature_pca with the output: array([[-0.0455233 , -0.03700059], [ 0.04053692, 0.00630769], [-0.0095335 , -0.00375971], ..., [ 0.27832255, -0.29928393], [ 0.27832255, -0.29928393], [-0.14545832, -0.00768137]]) But, still using the code i am not able to calculate the cluster center, can anybody tell where am i going wrong? The final image is as:

fig, axes = plt.subplots(1, 1, sharey=True)
fig.set_size_inches(20, 10)

# use the same set of colors as above to compare side to side of the two graphs
colors = ['blue', 'green', 'red', 'purple', 'orange']
for e in set(kmeans.labels_):
    mark = kmeans.labels_ == e
    axes.scatter(feature_pca[:, 0][mark], feature_pca[:, 1][mark], color=colors[e], label=e, alpha=0.9)
axes.legend()


centers = fitted.cluster_centers_
axes.scatter(centers[:, 0], centers[:, 1],c='black', s=200, alpha=0.6 );