额外的参数必须在元组中
Extra arguments must be in a tuple
我会尝试根据图片适配平等
我的密码是
import numpy as np
import scipy.integrate as integrate
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
#define universal variables
def dH_dt(H, t=0):
return np.array(((H1(t)-H0(t))**2)/sqrt((H0(t))**2*((H0(t))**2)))
t = np.linspace(0, 100, 10000)
H0 = [0.0001]
H1 = [0.0001]
H, infodict = integrate.odeint(dH_dt, H0, H1, t, full_output=True)
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.plot(H[:,0], H[:,1])
plt.show()
我有类似
的错误
File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/scipy/integrate/odepack.py", line 241, in odeint
output = _odepack.odeint(func, y0, t, args, Dfun, col_deriv, ml, mu,
odepack.error: Extra arguments must be in a tuple.
能不能告诉我怎么解决
我想你必须尝试这样的事情:
H, infodict = integrate.odeint(dH_dt, H0, H1, args=(t,), full_output=True)
您需要在()
中添加一个逗号,以便python知道它是一个元组。
我会尝试根据图片适配平等
我的密码是
import numpy as np
import scipy.integrate as integrate
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
#define universal variables
def dH_dt(H, t=0):
return np.array(((H1(t)-H0(t))**2)/sqrt((H0(t))**2*((H0(t))**2)))
t = np.linspace(0, 100, 10000)
H0 = [0.0001]
H1 = [0.0001]
H, infodict = integrate.odeint(dH_dt, H0, H1, t, full_output=True)
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.plot(H[:,0], H[:,1])
plt.show()
我有类似
的错误 File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/scipy/integrate/odepack.py", line 241, in odeint
output = _odepack.odeint(func, y0, t, args, Dfun, col_deriv, ml, mu,
odepack.error: Extra arguments must be in a tuple.
能不能告诉我怎么解决
我想你必须尝试这样的事情:
H, infodict = integrate.odeint(dH_dt, H0, H1, args=(t,), full_output=True)
您需要在()
中添加一个逗号,以便python知道它是一个元组。