Échantillon de clustering k-means
from scipy.cluster.vq import kmeans, vq
# Compute cluster centers
centroids,_ = kmeans(df, 2)
# Assign cluster labels
df['cluster_labels'], _ = vq(df , centroids)
# Plot the points with seaborn
sns.scatterplot(x='x', y='y' , hue= 'cluster_labels', data=df)
plt.show()
josh.ipynb