from service.api.generate import generate_sine_series

import matplotlib.pylab as plt
import warnings
warnings.filterwarnings('ignore')

df = generate_sine_series(length=500, frequency=50, amplitude=100)
plt.plot(df)

data = df.values


from pyFTS.partitioners import CMeans

fs = CMeans.CMeansPartitioner(data=data,npart=10)

fig, ax = plt.subplots(nrows=1, ncols=1, figsize=[15,5])

fs.plot(ax)


plt.show()