06.2026
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###################################################################################################
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# This moddule is called by demo scripts to execute and embed CPython.
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# Must be put in the scripts folder, or else in the python path.
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###################################################################################################
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import numpy as np
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def linfit(x, y):
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"""
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Return linear fit
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"""
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print(1, type(x), type(y), x, y)
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p = np.polyfit(x, y, 1)
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f = np.poly1d(p)
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x_fit = np.linspace(min(x), max(x), 100)
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y_fit = f(x_fit)
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yhat = f(x)
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ybar = np.sum(y)/len(y)
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ssreg = np.sum((yhat - ybar)**2)
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sstot = np.sum((y - ybar)**2)
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R2 = ssreg / sstot
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return (p, x_fit, y_fit, R2)
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