I'm using scipy.integrate.dblquad
, and I get this error:
UserWarning: The maximum number of subdivisions (50) has been achieved.
If increasing the limit yields no improvement ...
I want to increase this limit to see if the integral is well-converged. The documentation specifies how to do this for scipy.integrate.quad
(that function takes the maximum number of iterations as an argument), but not for scipy.integrate.dblquad
. How can I increase the number of subdivisions for dblquad
?
A simpler way of doing this is to use the nquad
function instead of dblquad
. Example code:
from scipy.integrate import nquad
options={'limit':100}
integral=nquad(func,[[xmin,xmax],[ymin,ymax]],
args=(other_arg,),opts=[options,options])
Note that several of the arguments are lists. The elements of these lists apply to each of the coordinates in order. See the documentation for nquad here.