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33 lines
698 B
Python
33 lines
698 B
Python
import numpy as np
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import scipy.fft as fft
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import scipy.interpolate as spi
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import matplotlib.pyplot as plt
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import scipy.optimize as opt
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data = np.loadtxt('nuttall.txt')
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atts = data[0]
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alphas = data[1]
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betas = data[2]
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# def sqerr(xs, ys, f):
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# err = 0
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# for i in range(len(xs)):
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# x = xs[i]
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# dy = ys[i]
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# fy = f(x)
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# err += (fy - dy)**2
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# return err
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# def compErr(d):
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# p = np.polyfit(atts, alphas, d)
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# return sqerr(atts, alphas, lambda x : np.polyval(p, x))
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# p = np.polyfit(atts, alphas, 2)
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# plt.plot(atts, alphas)
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# x = np.linspace(atts[0], atts[-1], 1000)
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# plt.plot(x, np.polyval(p, x))
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# plt.show()
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plt.plot(atts, alphas)
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plt.show() |