2024-08-15 12:15:32 +04:00
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from service.api.generate import generate_sine_series
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import matplotlib.pylab as plt
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import warnings
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warnings.filterwarnings('ignore')
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df = generate_sine_series(length=500, frequency=50, amplitude=100)
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plt.plot(df)
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data = df.values
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from pyFTS.partitioners import CMeans
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fs = CMeans.CMeansPartitioner(data=data,npart=10)
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fig, ax = plt.subplots(nrows=1, ncols=1, figsize=[15,5])
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fs.plot(ax)
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plt.show()
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