make_blobs_test.py

from sklearn.datasets import make_blobs
# import pandas as pd
import numpy as np

centers=[
	[.1,.1],
	[.2,.1],
	[.3,.1],
	[.4,.1],
	[.5,.1],
	[.6,.1],
	[.7,.1],
	[.8,.1],
	[.9,.1]
]

dataset=None
for chunk_time in range(20):
	l=chunk_time//4
	u=5+chunk_time//4

	print("total,actual=",len(centers[:u]),len(centers[l:u]))
	chunk,_=make_blobs(
		n_samples=4000,
		n_features=2,
		centers=centers[l:u],
		cluster_std=0.001,
		center_box=(0,0),
		random_state=42,
		shuffle=True
	)
	dataset=chunk if dataset is None else np.concatenate((dataset,chunk))

np.savetxt("synthetic.csv",dataset,delimiter=",",fmt="%f")