The clusteval library will help you to evaluate the data and find the optimal number of clusters. This library contains five methods that can be used to evaluate clusterings: silhouette, dbindex, derivative, dbscan and hdbscan.
pip install clusteval
Depending on your data, the evaluation method can be chosen.
# Import library
from clusteval import clusteval
# Set parameters, as an example dbscan
ce = clusteval(method='dbscan')
# Fit to find optimal number of clusters using dbscan
results= ce.fit(X)
# Make plot of the cluster evaluation
ce.plot()
# Make scatter plot. Note that the first two coordinates are used for plotting.
ce.scatter(X)
# results is a dict with various output statistics. One of them are the labels.
cluster_labels = results['labx']