The array returned by a function changed size between calls
I'm trying to solve for an array of values as explained in the following code. But I get this error:
Traceback (most recent call last):
File "<ipython-input-842-cf2c76a38adb>", line 25, in <module>
y1[i] = fsolve(VLE_2,guess,args=(x1[i],T[i]))
File "/anaconda3/lib/python3.6/site-packages/scipy/optimize/minpack.py", line 148, in fsolve
res = _root_hybr(func, x0, args, jac=fprime, **options)
File "/anaconda3/lib/python3.6/site-packages/scipy/optimize/minpack.py", line 227, in _root_hybr
ml, mu, epsfcn, factor, diag)
ValueError: The array returned by a function changed size between calls
It's not shown in the code but T is a 500 elements array previously solved for.
P = 5000
x1 = np.linspace(0.1,1,500)
x2 = 1-x1
def VLE_2(y1,x1,T):
y2=1-y1
tau12 = a12+b12/T
tau21 = a21+b21/T
G12 = np.exp(-0.4*tau12)
G21 = np.exp(-0.4*tau21)
gamma_1 = np.exp((x2**2)*((tau21*G21**2)/(x1+x2*G21)**2+(tau12*G12)/(x2+x1*G12)**2))
gamma_2 = np.exp((x1**2)*((tau12*G12**2)/(x2+x1*G12)**2+(tau21*G21)/(x1+x2*G21)**2))
Psat1 = np.exp((106.1)-7614.8/T-12.686*np.log(T)+1.0733e-5*T**2)
Psat2 = np.exp((84.912)-6722.2/T-9.5157*np.log(T)+7.2244e-6*T**2)
#sol = np.zeros(2)
return y1*P - x1*gamma_1*Psat1
y1 = np.ones(500)
guess = 0.9
for i in range(0,500):
y1[i] = fsolve(VLE_2,guess,args=(x1[i],T[i]))
python python-3.x numpy scipy
|
show 12 more comments
I'm trying to solve for an array of values as explained in the following code. But I get this error:
Traceback (most recent call last):
File "<ipython-input-842-cf2c76a38adb>", line 25, in <module>
y1[i] = fsolve(VLE_2,guess,args=(x1[i],T[i]))
File "/anaconda3/lib/python3.6/site-packages/scipy/optimize/minpack.py", line 148, in fsolve
res = _root_hybr(func, x0, args, jac=fprime, **options)
File "/anaconda3/lib/python3.6/site-packages/scipy/optimize/minpack.py", line 227, in _root_hybr
ml, mu, epsfcn, factor, diag)
ValueError: The array returned by a function changed size between calls
It's not shown in the code but T is a 500 elements array previously solved for.
P = 5000
x1 = np.linspace(0.1,1,500)
x2 = 1-x1
def VLE_2(y1,x1,T):
y2=1-y1
tau12 = a12+b12/T
tau21 = a21+b21/T
G12 = np.exp(-0.4*tau12)
G21 = np.exp(-0.4*tau21)
gamma_1 = np.exp((x2**2)*((tau21*G21**2)/(x1+x2*G21)**2+(tau12*G12)/(x2+x1*G12)**2))
gamma_2 = np.exp((x1**2)*((tau12*G12**2)/(x2+x1*G12)**2+(tau21*G21)/(x1+x2*G21)**2))
Psat1 = np.exp((106.1)-7614.8/T-12.686*np.log(T)+1.0733e-5*T**2)
Psat2 = np.exp((84.912)-6722.2/T-9.5157*np.log(T)+7.2244e-6*T**2)
#sol = np.zeros(2)
return y1*P - x1*gamma_1*Psat1
y1 = np.ones(500)
guess = 0.9
for i in range(0,500):
y1[i] = fsolve(VLE_2,guess,args=(x1[i],T[i]))
python python-3.x numpy scipy
Im using Python 3 btw.
– reyPanda
Nov 15 '18 at 6:22
Please add the full error traceback to your question.
– Klaus D.
Nov 15 '18 at 6:29
Edit your question and add it there as code-formatted text!
– Klaus D.
Nov 15 '18 at 6:33
@KlausD. Thanks for the feedback!
– reyPanda
Nov 15 '18 at 6:37
1
I solved it. Thanks everyone for the input. I have to make x2 part of the function... 'VLE_2(y1,x1,x2,T)' otherwise its solving for one value of y per each x1,T but multiple x2 which would return an array of a different size than needed.
– reyPanda
Nov 15 '18 at 8:09
|
show 12 more comments
I'm trying to solve for an array of values as explained in the following code. But I get this error:
Traceback (most recent call last):
File "<ipython-input-842-cf2c76a38adb>", line 25, in <module>
y1[i] = fsolve(VLE_2,guess,args=(x1[i],T[i]))
File "/anaconda3/lib/python3.6/site-packages/scipy/optimize/minpack.py", line 148, in fsolve
res = _root_hybr(func, x0, args, jac=fprime, **options)
File "/anaconda3/lib/python3.6/site-packages/scipy/optimize/minpack.py", line 227, in _root_hybr
ml, mu, epsfcn, factor, diag)
ValueError: The array returned by a function changed size between calls
It's not shown in the code but T is a 500 elements array previously solved for.
P = 5000
x1 = np.linspace(0.1,1,500)
x2 = 1-x1
def VLE_2(y1,x1,T):
y2=1-y1
tau12 = a12+b12/T
tau21 = a21+b21/T
G12 = np.exp(-0.4*tau12)
G21 = np.exp(-0.4*tau21)
gamma_1 = np.exp((x2**2)*((tau21*G21**2)/(x1+x2*G21)**2+(tau12*G12)/(x2+x1*G12)**2))
gamma_2 = np.exp((x1**2)*((tau12*G12**2)/(x2+x1*G12)**2+(tau21*G21)/(x1+x2*G21)**2))
Psat1 = np.exp((106.1)-7614.8/T-12.686*np.log(T)+1.0733e-5*T**2)
Psat2 = np.exp((84.912)-6722.2/T-9.5157*np.log(T)+7.2244e-6*T**2)
#sol = np.zeros(2)
return y1*P - x1*gamma_1*Psat1
y1 = np.ones(500)
guess = 0.9
for i in range(0,500):
y1[i] = fsolve(VLE_2,guess,args=(x1[i],T[i]))
python python-3.x numpy scipy
I'm trying to solve for an array of values as explained in the following code. But I get this error:
Traceback (most recent call last):
File "<ipython-input-842-cf2c76a38adb>", line 25, in <module>
y1[i] = fsolve(VLE_2,guess,args=(x1[i],T[i]))
File "/anaconda3/lib/python3.6/site-packages/scipy/optimize/minpack.py", line 148, in fsolve
res = _root_hybr(func, x0, args, jac=fprime, **options)
File "/anaconda3/lib/python3.6/site-packages/scipy/optimize/minpack.py", line 227, in _root_hybr
ml, mu, epsfcn, factor, diag)
ValueError: The array returned by a function changed size between calls
It's not shown in the code but T is a 500 elements array previously solved for.
P = 5000
x1 = np.linspace(0.1,1,500)
x2 = 1-x1
def VLE_2(y1,x1,T):
y2=1-y1
tau12 = a12+b12/T
tau21 = a21+b21/T
G12 = np.exp(-0.4*tau12)
G21 = np.exp(-0.4*tau21)
gamma_1 = np.exp((x2**2)*((tau21*G21**2)/(x1+x2*G21)**2+(tau12*G12)/(x2+x1*G12)**2))
gamma_2 = np.exp((x1**2)*((tau12*G12**2)/(x2+x1*G12)**2+(tau21*G21)/(x1+x2*G21)**2))
Psat1 = np.exp((106.1)-7614.8/T-12.686*np.log(T)+1.0733e-5*T**2)
Psat2 = np.exp((84.912)-6722.2/T-9.5157*np.log(T)+7.2244e-6*T**2)
#sol = np.zeros(2)
return y1*P - x1*gamma_1*Psat1
y1 = np.ones(500)
guess = 0.9
for i in range(0,500):
y1[i] = fsolve(VLE_2,guess,args=(x1[i],T[i]))
python python-3.x numpy scipy
python python-3.x numpy scipy
edited Nov 15 '18 at 6:33
Blckknght
64.9k559108
64.9k559108
asked Nov 15 '18 at 6:21
reyPandareyPanda
77
77
Im using Python 3 btw.
– reyPanda
Nov 15 '18 at 6:22
Please add the full error traceback to your question.
– Klaus D.
Nov 15 '18 at 6:29
Edit your question and add it there as code-formatted text!
– Klaus D.
Nov 15 '18 at 6:33
@KlausD. Thanks for the feedback!
– reyPanda
Nov 15 '18 at 6:37
1
I solved it. Thanks everyone for the input. I have to make x2 part of the function... 'VLE_2(y1,x1,x2,T)' otherwise its solving for one value of y per each x1,T but multiple x2 which would return an array of a different size than needed.
– reyPanda
Nov 15 '18 at 8:09
|
show 12 more comments
Im using Python 3 btw.
– reyPanda
Nov 15 '18 at 6:22
Please add the full error traceback to your question.
– Klaus D.
Nov 15 '18 at 6:29
Edit your question and add it there as code-formatted text!
– Klaus D.
Nov 15 '18 at 6:33
@KlausD. Thanks for the feedback!
– reyPanda
Nov 15 '18 at 6:37
1
I solved it. Thanks everyone for the input. I have to make x2 part of the function... 'VLE_2(y1,x1,x2,T)' otherwise its solving for one value of y per each x1,T but multiple x2 which would return an array of a different size than needed.
– reyPanda
Nov 15 '18 at 8:09
Im using Python 3 btw.
– reyPanda
Nov 15 '18 at 6:22
Im using Python 3 btw.
– reyPanda
Nov 15 '18 at 6:22
Please add the full error traceback to your question.
– Klaus D.
Nov 15 '18 at 6:29
Please add the full error traceback to your question.
– Klaus D.
Nov 15 '18 at 6:29
Edit your question and add it there as code-formatted text!
– Klaus D.
Nov 15 '18 at 6:33
Edit your question and add it there as code-formatted text!
– Klaus D.
Nov 15 '18 at 6:33
@KlausD. Thanks for the feedback!
– reyPanda
Nov 15 '18 at 6:37
@KlausD. Thanks for the feedback!
– reyPanda
Nov 15 '18 at 6:37
1
1
I solved it. Thanks everyone for the input. I have to make x2 part of the function... 'VLE_2(y1,x1,x2,T)' otherwise its solving for one value of y per each x1,T but multiple x2 which would return an array of a different size than needed.
– reyPanda
Nov 15 '18 at 8:09
I solved it. Thanks everyone for the input. I have to make x2 part of the function... 'VLE_2(y1,x1,x2,T)' otherwise its solving for one value of y per each x1,T but multiple x2 which would return an array of a different size than needed.
– reyPanda
Nov 15 '18 at 8:09
|
show 12 more comments
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Im using Python 3 btw.
– reyPanda
Nov 15 '18 at 6:22
Please add the full error traceback to your question.
– Klaus D.
Nov 15 '18 at 6:29
Edit your question and add it there as code-formatted text!
– Klaus D.
Nov 15 '18 at 6:33
@KlausD. Thanks for the feedback!
– reyPanda
Nov 15 '18 at 6:37
1
I solved it. Thanks everyone for the input. I have to make x2 part of the function... 'VLE_2(y1,x1,x2,T)' otherwise its solving for one value of y per each x1,T but multiple x2 which would return an array of a different size than needed.
– reyPanda
Nov 15 '18 at 8:09