print help(scipy.help.integrate.quad)
としてやれば、
Help on function quad in module scipy.integrate.quadpack:
quad(func, a, b, args=(), full_output=0, epsabs=1.4899999999999999e-008, epsrel=1.4899999999999999e-008, limit=50, points=None, weight=None, wvar=None, wopts=None, maxp1=50, limlst=50)
Compute a definite integral.
Description:
Integrate func from a to b (possibly infinite interval) using a technique
from the Fortran library QUADPACK. Run scipy.integrate.quad_explain()
for more information on the more esoteric inputs and outputs.
Inputs:
func -- a Python function or method to integrate.
a -- lower limit of integration (use -scipy.integrate.Inf for -infinity).
b -- upper limit of integration (use scipy.integrate.Inf for +infinity).
args -- extra arguments to pass to func.
full_output -- non-zero to return a dictionary of integration information.
If non-zero, warning messages are also suppressed and the
message is appended to the output tuple.
Outputs: (y, abserr, {infodict, message, explain})
y -- the integral of func from a to b.
abserr -- an estimate of the absolute error in the result.
infodict -- a dictionary containing additional information.
Run scipy.integrate.quad_explain() for more information.
message -- a convergence message.
explain -- appended only with 'cos' or 'sin' weighting and infinite
integration limits, it contains an explanation of the codes in
infodict['ierlst']
Additional Inputs:
epsabs -- absolute error tolerance.
epsrel -- relative error tolerance.
limit -- an upper bound on the number of subintervals used in the adaptive
algorithm.
points -- a sequence of break points in the bounded integration interval
where local difficulties of the integrand may occur (e.g.,
singularities, discontinuities). The sequence does not have
to be sorted.
**
** Run scipy.integrate.quad_explain() for more information
** on the following inputs
**
weight -- string indicating weighting function.
wvar -- variables for use with weighting functions.
limlst -- Upper bound on the number of cylces (>=3) for use with a sinusoidal
weighting and an infinite end-point.
wopts -- Optional input for reusing Chebyshev moments.
maxp1 -- An upper bound on the number of Chebyshev moments.
See also:
dblquad, tplquad - double and triple integrals
fixed_quad - fixed-order Gaussian quadrature
quadrature - adaptive Gaussian quadrature
odeint, ode - ODE integrators
simps, trapz, romb - integrators for sampled data
scipy.special - for coefficients and roots of orthogonal polynomials
None
とかって表示される。
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