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2026-06-24 13:28:45 +02:00

22 lines
737 B
Python

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