问题
I'm trying to use fsolve
in combination with the mpmath
package.
However, I get the error cannot create mpf from array([mpf('1.0')], dtype=object)
.
Here is a minimal example reproducing the error. For this example, I technically do not need the mpmath
package, but my actual function contains hyperconfluent functions that do.
from scipy.optimize import fsolve
#from mpmath import hyp1f1 as hyp1f1mp
#from mpmath import gamma as gammamp
import mpmath as mp
#import numpy as np
mp.dps = 250; mp.pretty = True
def cosFunc(p):
vn = p
output = mp.sin(vn)
return output
estimate = mp.mpf(1)
value = fsolve(cosFunc,estimate)
print value
I found a similar question suggesting to use np.frompyfunc
(How to mpf an array?), but it tells me that the function is not callable (when I apply it on vn
).
回答1:
The trick is to apply np.frompyfunc
to a function instead of a value. I think the following modification would make your function work:
def cosFunc(p):
vn = p
np_sin = np.frompyfunc(mp.sin, 1, 1)
output = np_sin(vn)
return float(output)
value = fsolve(cosFunc, 1)
print value
回答2:
The specific cause of the error you is this:
(Pdb) x0
array([mpf('1.0')], dtype=object)
(Pdb) mp.sin(x0)
*** TypeError: cannot create mpf from array([mpf('1.0')], dtype=object)
What happens is that fsolve
tries to convert your estimate
to array and numpy does not know how to handle mpmath objects.
>>> np.asarray(mp.mpf(1))
>>> array(mpf('1.0'), dtype=object)
Changing how fsolve
works is not very productive, so your best bet seems to be to teach your function to handle arrays of mpmath objects
def cos_func(p):
vn = p
if isinstance(p, np.ndarray):
if p.size == 0:
vn = p[0]
else:
raise ValueError # or whatever you want to do here"
return mp.sin(vn)
来源:https://stackoverflow.com/questions/36429875/create-mpf-from-array