因此，我遇到了一个问题，我试图将参数节点，方法，启动器和TGFB_level传递到名为“ ODEfunc”的函数中，该函数用作scipy.ode调用的右侧。我使用方括号[]以列表形式显示了所有参数，我想知道是否应该以其他方式输入参数。我上面提到的特定参数由ODEfunc函数读取，并在函数中更改其他参数，即...
if promoter == 'cons':
w[147]=1
if promoter == 'peri':
w[145]=1
w[146]=1
这似乎不应该引起问题，但我可能遗漏了一些东西。您能提供的任何帮助将不胜感激。
from scipy.integrate import ode
method2=['cDNA']
promoter=['peri']
TGFB_level=[0.25]
# Run single simulations for each node
node=['AngII']
tspan = [0, 10]
t = []
dt = tspan[1]/150.
r = ode(ODEfunc).set_integrator('vode', method='adams', order=10, rtol=0, atol=1e-6, with_jacobian=False)
r.set_initial_value(y0,tspan[0]).set_f_params(tau,ymax,w,n,EC50,node,method2,promoter,TGFB_level)
results = np.empty([0,len(speciesNames)])
while r.successful() and r.t <= tspan[1]:
r.integrate(r.t + dt)
results = np.append(results,[r.y],axis=0)
t.append(r.t)
这是我遇到的错误...
---------------------------------------------------------------------------
error Traceback (most recent call last)
<ipython-input-301-42fbb22b5bfd> in <module>()
34 results = np.empty([0,len(speciesNames)])
35 while r.successful() and r.t <= tspan[1]:
---> 36 r.integrate(r.t + dt)
37 results = np.append(results,[r.y],axis=0)
38 t.append(r.t)
/Users/andersnelson/anaconda/lib/python3.6/site-packages/scipy/integrate/_ode.py in integrate(self, t, step, relax)
406 self._y, self.t = mth(self.f, self.jac or (lambda: None),
407 self._y, self.t, t,
--> 408 self.f_params, self.jac_params)
409 except SystemError:
410 # f2py issue with tuple returns, see ticket 1187.
/Users/andersnelson/anaconda/lib/python3.6/site-packages/scipy/integrate/_ode.py in run(self, f, jac, y0, t0, t1, f_params, jac_params)
863 args = ((f, jac, y0, t0, t1) + tuple(self.call_args) +
864 (f_params, jac_params))
--> 865 y1, t, istate = self.runner(*args)
866 if istate < 0:
867 warnings.warn(self.__class__.__name__ + ': ' +
error: failed in processing argument list for call-back f.