Я пытался запустить этот код, но я получаю одни и те же ошибки, независимо от того, насколько я его упрощаю.
/ home / runner / .site-packages / symfit / core / fit.py: 1046: RuntimeWarning: деление на ноль, встречающееся в true_divide W = 1 / sigma ** 2 / s_sq [:,np.newaxis]
/ home / runner / .site-packages / symfit / core / fit.py: 1783:> RuntimeWarning: недопустимое значение, обнаруженное в double_scalars, возвращает 1 SS_res / SS_tot
Помощь будет принята с благодарностью.
x1, ya = sf.variables('x1, ya')
I1, I2, I3, A, B, C, D = sf.parameters('I1, I2, I3, A, B, C, D')
I1.value = 46.483
I2.value = 5.916
I3.value = 21.90
A.value = -3.828*10**(-5)
B.value = 0
C.value = 0
D.value = 0
# Making the equation
ya = (A*x1**3 + B*x1**2 + C*x1 + D + (q_subm*x1**4)/(24*EI)) #q_sub and EI are constants
#model = Model({y: Piecewise((ya, x1 <= I1), (yb, x2 <= I2), (yc, x3 <= I3))})
model = Model({ya})
# As a constraint, we want cable to be at 0 at start and and at "-p" height at x=60
# also no angle in pipe ate those points
constraints = [
Eq(ya.subs({x1: 0}), 0),
Eq(ya.subs({x1: 60}), -p),
Eq(ya.diff(x1).subs({x1: 0}), 0),
Eq(ya.diff(x1).subs({x1: 60}), 0)
]
x1data = np.linspace(0, 60., 60)
y1data = model(x1=x1data, A = -3.828*10**(-5), B = 0, C = 0, D = 0)
np.random.seed(2)
y1data = np.random.normal(y1data, 0.005)
plt.plot([60], [0.4], 'ro')
plt.scatter(x1data, y1data)
plt.savefig('plot.png')
print ('Done plotting fig')
#fit = Fit(model, x=xdata, y=ydata, constraints=constraints)
fit = Fit(model, x1=x1data, constraints=constraints)
print ('Done fitting model')
fit_result = fit.execute()
#print(fit_result)