Special functions (scipy.special)¶

Nearly all of the functions below are universal functions and follow broadcasting and automatic array-looping rules. Exceptions are noted.

scipy.special.cython_special – Typed Cython versions of special functions

Error handling¶

Errors are handled by returning NaNs or other appropriate values. Some of the special function routines can emit warnings or raise exceptions when an error occurs. By default this is disabled; to query and control the current error handling state the following functions are provided.

 geterr Get the current way of handling special-function errors. seterr Set how special-function errors are handled. errstate Context manager for special-function error handling. SpecialFunctionWarning Warning that can be emitted by special functions. SpecialFunctionError Exception that can be raised by special functions.

Available functions¶

Airy functions¶

 airy(z) Airy functions and their derivatives. airye(z) Exponentially scaled Airy functions and their derivatives. ai_zeros(nt) Compute nt zeros and values of the Airy function Ai and its derivative. bi_zeros(nt) Compute nt zeros and values of the Airy function Bi and its derivative. itairy(x) Integrals of Airy functions

Elliptic Functions and Integrals¶

 ellipj(u, m) Jacobian elliptic functions ellipk(m) Complete elliptic integral of the first kind. ellipkm1(p) Complete elliptic integral of the first kind around m = 1 ellipkinc(phi, m) Incomplete elliptic integral of the first kind ellipe(m) Complete elliptic integral of the second kind ellipeinc(phi, m) Incomplete elliptic integral of the second kind

Bessel Functions¶

 jv(v, z) Bessel function of the first kind of real order and complex argument. jve(v, z) Exponentially scaled Bessel function of order v. yn(n, x) Bessel function of the second kind of integer order and real argument. yv(v, z) Bessel function of the second kind of real order and complex argument. yve(v, z) Exponentially scaled Bessel function of the second kind of real order. kn(n, x) Modified Bessel function of the second kind of integer order n kv(v, z) Modified Bessel function of the second kind of real order v kve(v, z) Exponentially scaled modified Bessel function of the second kind. iv(v, z) Modified Bessel function of the first kind of real order. ive(v, z) Exponentially scaled modified Bessel function of the first kind hankel1(v, z) Hankel function of the first kind hankel1e(v, z) Exponentially scaled Hankel function of the first kind hankel2(v, z) Hankel function of the second kind hankel2e(v, z) Exponentially scaled Hankel function of the second kind

The following is not an universal function:

 lmbda(v, x) Jahnke-Emden Lambda function, Lambdav(x).

Zeros of Bessel Functions¶

These are not universal functions:

 jnjnp_zeros(nt) Compute zeros of integer-order Bessel functions Jn and Jn’. jnyn_zeros(n, nt) Compute nt zeros of Bessel functions Jn(x), Jn’(x), Yn(x), and Yn’(x). jn_zeros(n, nt) Compute zeros of integer-order Bessel function Jn(x). jnp_zeros(n, nt) Compute zeros of integer-order Bessel function derivative Jn’(x). yn_zeros(n, nt) Compute zeros of integer-order Bessel function Yn(x). ynp_zeros(n, nt) Compute zeros of integer-order Bessel function derivative Yn’(x). y0_zeros(nt[, complex]) Compute nt zeros of Bessel function Y0(z), and derivative at each zero. y1_zeros(nt[, complex]) Compute nt zeros of Bessel function Y1(z), and derivative at each zero. y1p_zeros(nt[, complex]) Compute nt zeros of Bessel derivative Y1’(z), and value at each zero.

Faster versions of common Bessel Functions¶

 j0(x) Bessel function of the first kind of order 0. j1(x) Bessel function of the first kind of order 1. y0(x) Bessel function of the second kind of order 0. y1(x) Bessel function of the second kind of order 1. i0(x) Modified Bessel function of order 0. i0e(x) Exponentially scaled modified Bessel function of order 0. i1(x) Modified Bessel function of order 1. i1e(x) Exponentially scaled modified Bessel function of order 1. k0(x) Modified Bessel function of the second kind of order 0, $$K_0$$. k0e(x) Exponentially scaled modified Bessel function K of order 0 k1(x) Modified Bessel function of the second kind of order 1, $$K_1(x)$$. k1e(x) Exponentially scaled modified Bessel function K of order 1

Integrals of Bessel Functions¶

 itj0y0(x) Integrals of Bessel functions of order 0 it2j0y0(x) Integrals related to Bessel functions of order 0 iti0k0(x) Integrals of modified Bessel functions of order 0 it2i0k0(x) Integrals related to modified Bessel functions of order 0 besselpoly(a, lmb, nu) Weighted integral of a Bessel function.

Derivatives of Bessel Functions¶

 jvp(v, z[, n]) Compute nth derivative of Bessel function Jv(z) with respect to z. yvp(v, z[, n]) Compute nth derivative of Bessel function Yv(z) with respect to z. kvp(v, z[, n]) Compute nth derivative of real-order modified Bessel function Kv(z) ivp(v, z[, n]) Compute nth derivative of modified Bessel function Iv(z) with respect to z. h1vp(v, z[, n]) Compute nth derivative of Hankel function H1v(z) with respect to z. h2vp(v, z[, n]) Compute nth derivative of Hankel function H2v(z) with respect to z.

Spherical Bessel Functions¶

 spherical_jn(n, z[, derivative]) Spherical Bessel function of the first kind or its derivative. spherical_yn(n, z[, derivative]) Spherical Bessel function of the second kind or its derivative. spherical_in(n, z[, derivative]) Modified spherical Bessel function of the first kind or its derivative. spherical_kn(n, z[, derivative]) Modified spherical Bessel function of the second kind or its derivative.

Riccati-Bessel Functions¶

These are not universal functions:

 riccati_jn(n, x) Compute Ricatti-Bessel function of the first kind and its derivative. riccati_yn(n, x) Compute Ricatti-Bessel function of the second kind and its derivative.

Struve Functions¶

 struve(v, x) Struve function. modstruve(v, x) Modified Struve function. itstruve0(x) Integral of the Struve function of order 0. it2struve0(x) Integral related to the Struve function of order 0. itmodstruve0(x) Integral of the modified Struve function of order 0.

Raw Statistical Functions¶

scipy.stats: Friendly versions of these functions.

 bdtr(k, n, p) Binomial distribution cumulative distribution function. bdtrc(k, n, p) Binomial distribution survival function. bdtri(k, n, y) Inverse function to bdtr with respect to p. bdtrik(y, n, p) Inverse function to bdtr with respect to k. bdtrin(k, y, p) Inverse function to bdtr with respect to n. btdtr(a, b, x) Cumulative density function of the beta distribution. btdtri(a, b, p) The p-th quantile of the beta distribution. btdtria(p, b, x) Inverse of btdtr with respect to a. btdtrib(a, p, x) Inverse of btdtr with respect to b. fdtr(dfn, dfd, x) F cumulative distribution function. fdtrc(dfn, dfd, x) F survival function. fdtri(dfn, dfd, p) The p-th quantile of the F-distribution. fdtridfd(dfn, p, x) Inverse to fdtr vs dfd gdtr(a, b, x) Gamma distribution cumulative density function. gdtrc(a, b, x) Gamma distribution survival function. gdtria(p, b, x[, out]) Inverse of gdtr vs a. gdtrib(a, p, x[, out]) Inverse of gdtr vs b. gdtrix(a, b, p[, out]) Inverse of gdtr vs x. nbdtr(k, n, p) Negative binomial cumulative distribution function. nbdtrc(k, n, p) Negative binomial survival function. nbdtri(k, n, y) Inverse of nbdtr vs p. nbdtrik(y, n, p) Inverse of nbdtr vs k. nbdtrin(k, y, p) Inverse of nbdtr vs n. ncfdtr(dfn, dfd, nc, f) Cumulative distribution function of the non-central F distribution. ncfdtridfd(dfn, p, nc, f) Calculate degrees of freedom (denominator) for the noncentral F-distribution. ncfdtridfn(p, dfd, nc, f) Calculate degrees of freedom (numerator) for the noncentral F-distribution. ncfdtri(dfn, dfd, nc, p) Inverse with respect to f of the CDF of the non-central F distribution. ncfdtrinc(dfn, dfd, p, f) Calculate non-centrality parameter for non-central F distribution. nctdtr(df, nc, t) Cumulative distribution function of the non-central t distribution. nctdtridf(p, nc, t) Calculate degrees of freedom for non-central t distribution. nctdtrit(df, nc, p) Inverse cumulative distribution function of the non-central t distribution. nctdtrinc(df, p, t) Calculate non-centrality parameter for non-central t distribution. nrdtrimn(p, x, std) Calculate mean of normal distribution given other params. nrdtrisd(p, x, mn) Calculate standard deviation of normal distribution given other params. pdtr(k, m) Poisson cumulative distribution function pdtrc(k, m) Poisson survival function pdtri(k, y) Inverse to pdtr vs m pdtrik(p, m) Inverse to pdtr vs k stdtr(df, t) Student t distribution cumulative density function stdtridf(p, t) Inverse of stdtr vs df stdtrit(df, p) Inverse of stdtr vs t chdtr(v, x) Chi square cumulative distribution function chdtrc(v, x) Chi square survival function chdtri(v, p) Inverse to chdtrc chdtriv(p, x) Inverse to chdtr vs v ndtr(x) Gaussian cumulative distribution function. log_ndtr(x) Logarithm of Gaussian cumulative distribution function. ndtri(y) Inverse of ndtr vs x chndtr(x, df, nc) Non-central chi square cumulative distribution function chndtridf(x, p, nc) Inverse to chndtr vs df chndtrinc(x, df, p) Inverse to chndtr vs nc chndtrix(p, df, nc) Inverse to chndtr vs x smirnov(n, d) Kolmogorov-Smirnov complementary cumulative distribution function smirnovi(n, p) Inverse to smirnov kolmogorov(y) Complementary cumulative distribution (Survival Function) function of Kolmogorov distribution. kolmogi(p) Inverse Survival Function of Kolmogorov distribution tklmbda(x, lmbda) Tukey-Lambda cumulative distribution function logit(x) Logit ufunc for ndarrays. expit(x) Expit (a.k.a. boxcox(x, lmbda) Compute the Box-Cox transformation. boxcox1p(x, lmbda) Compute the Box-Cox transformation of 1 + x. inv_boxcox(y, lmbda) Compute the inverse of the Box-Cox transformation. inv_boxcox1p(y, lmbda) Compute the inverse of the Box-Cox transformation. owens_t(h, a) Owen’s T Function.

Information Theory Functions¶

 entr(x) Elementwise function for computing entropy. rel_entr(x, y) Elementwise function for computing relative entropy. kl_div(x, y) Elementwise function for computing Kullback-Leibler divergence. huber(delta, r) Huber loss function. pseudo_huber(delta, r) Pseudo-Huber loss function.

Error Function and Fresnel Integrals¶

 erf(z) Returns the error function of complex argument. erfc(x) Complementary error function, 1 - erf(x). erfcx(x) Scaled complementary error function, exp(x**2) * erfc(x). erfi(z) Imaginary error function, -i erf(i z). erfinv(y) Inverse of the error function erf. erfcinv(y) Inverse of the complementary error function erfc. wofz(z) Faddeeva function dawsn(x) Dawson’s integral. fresnel(z) Fresnel sin and cos integrals fresnel_zeros(nt) Compute nt complex zeros of sine and cosine Fresnel integrals S(z) and C(z). modfresnelp(x) Modified Fresnel positive integrals modfresnelm(x) Modified Fresnel negative integrals

These are not universal functions:

 erf_zeros(nt) Compute the first nt zero in the first quadrant, ordered by absolute value. fresnelc_zeros(nt) Compute nt complex zeros of cosine Fresnel integral C(z). fresnels_zeros(nt) Compute nt complex zeros of sine Fresnel integral S(z).

Legendre Functions¶

 lpmv(m, v, x) Associated Legendre function of integer order and real degree. sph_harm(m, n, theta, phi) Compute spherical harmonics.

These are not universal functions:

 clpmn(m, n, z[, type]) Associated Legendre function of the first kind for complex arguments. lpn(n, z) Legendre function of the first kind. lqn(n, z) Legendre function of the second kind. lpmn(m, n, z) Sequence of associated Legendre functions of the first kind. lqmn(m, n, z) Sequence of associated Legendre functions of the second kind.

Ellipsoidal Harmonics¶

 ellip_harm(h2, k2, n, p, s[, signm, signn]) Ellipsoidal harmonic functions E^p_n(l) ellip_harm_2(h2, k2, n, p, s) Ellipsoidal harmonic functions F^p_n(l) ellip_normal(h2, k2, n, p) Ellipsoidal harmonic normalization constants gamma^p_n

Orthogonal polynomials¶

The following functions evaluate values of orthogonal polynomials:

 assoc_laguerre(x, n[, k]) Compute the generalized (associated) Laguerre polynomial of degree n and order k. eval_legendre(n, x[, out]) Evaluate Legendre polynomial at a point. eval_chebyt(n, x[, out]) Evaluate Chebyshev polynomial of the first kind at a point. eval_chebyu(n, x[, out]) Evaluate Chebyshev polynomial of the second kind at a point. eval_chebyc(n, x[, out]) Evaluate Chebyshev polynomial of the first kind on [-2, 2] at a point. eval_chebys(n, x[, out]) Evaluate Chebyshev polynomial of the second kind on [-2, 2] at a point. eval_jacobi(n, alpha, beta, x[, out]) Evaluate Jacobi polynomial at a point. eval_laguerre(n, x[, out]) Evaluate Laguerre polynomial at a point. eval_genlaguerre(n, alpha, x[, out]) Evaluate generalized Laguerre polynomial at a point. eval_hermite(n, x[, out]) Evaluate physicist’s Hermite polynomial at a point. eval_hermitenorm(n, x[, out]) Evaluate probabilist’s (normalized) Hermite polynomial at a point. eval_gegenbauer(n, alpha, x[, out]) Evaluate Gegenbauer polynomial at a point. eval_sh_legendre(n, x[, out]) Evaluate shifted Legendre polynomial at a point. eval_sh_chebyt(n, x[, out]) Evaluate shifted Chebyshev polynomial of the first kind at a point. eval_sh_chebyu(n, x[, out]) Evaluate shifted Chebyshev polynomial of the second kind at a point. eval_sh_jacobi(n, p, q, x[, out]) Evaluate shifted Jacobi polynomial at a point.

The following functions compute roots and quadrature weights for orthogonal polynomials:

The functions below, in turn, return the polynomial coefficients in orthopoly1d objects, which function similarly as numpy.poly1d. The orthopoly1d class also has an attribute weights which returns the roots, weights, and total weights for the appropriate form of Gaussian quadrature. These are returned in an n x 3 array with roots in the first column, weights in the second column, and total weights in the final column. Note that orthopoly1d objects are converted to poly1d when doing arithmetic, and lose information of the original orthogonal polynomial.

 legendre(n[, monic]) Legendre polynomial. chebyt(n[, monic]) Chebyshev polynomial of the first kind. chebyu(n[, monic]) Chebyshev polynomial of the second kind. chebyc(n[, monic]) Chebyshev polynomial of the first kind on $$[-2, 2]$$. chebys(n[, monic]) Chebyshev polynomial of the second kind on $$[-2, 2]$$. jacobi(n, alpha, beta[, monic]) Jacobi polynomial. laguerre(n[, monic]) Laguerre polynomial. genlaguerre(n, alpha[, monic]) Generalized (associated) Laguerre polynomial. hermite(n[, monic]) Physicist’s Hermite polynomial. hermitenorm(n[, monic]) Normalized (probabilist’s) Hermite polynomial. gegenbauer(n, alpha[, monic]) Gegenbauer (ultraspherical) polynomial. sh_legendre(n[, monic]) Shifted Legendre polynomial. sh_chebyt(n[, monic]) Shifted Chebyshev polynomial of the first kind. sh_chebyu(n[, monic]) Shifted Chebyshev polynomial of the second kind. sh_jacobi(n, p, q[, monic]) Shifted Jacobi polynomial.

Warning

Computing values of high-order polynomials (around order > 20) using polynomial coefficients is numerically unstable. To evaluate polynomial values, the eval_* functions should be used instead.

Hypergeometric Functions¶

 hyp2f1(a, b, c, z) Gauss hypergeometric function 2F1(a, b; c; z) hyp1f1(a, b, x) Confluent hypergeometric function 1F1(a, b; x) hyperu(a, b, x) Confluent hypergeometric function U(a, b, x) of the second kind hyp0f1(v, x) Confluent hypergeometric limit function 0F1. hyp2f0(*args, **kwds) hyp2f0 is deprecated! hyp2f0 is deprecated in SciPy 1.2 hyp1f2(*args, **kwds) hyp1f2 is deprecated! hyp1f2 is deprecated in SciPy 1.2 hyp3f0(*args, **kwds) hyp3f0 is deprecated! hyp3f0 is deprecated in SciPy 1.2

Parabolic Cylinder Functions¶

 pbdv(v, x) Parabolic cylinder function D pbvv(v, x) Parabolic cylinder function V pbwa(a, x) Parabolic cylinder function W.

These are not universal functions:

 pbdv_seq(v, x) Parabolic cylinder functions Dv(x) and derivatives. pbvv_seq(v, x) Parabolic cylinder functions Vv(x) and derivatives. pbdn_seq(n, z) Parabolic cylinder functions Dn(z) and derivatives.

Spheroidal Wave Functions¶

 pro_ang1(m, n, c, x) Prolate spheroidal angular function of the first kind and its derivative pro_rad1(m, n, c, x) Prolate spheroidal radial function of the first kind and its derivative pro_rad2(m, n, c, x) Prolate spheroidal radial function of the second kind and its derivative obl_ang1(m, n, c, x) Oblate spheroidal angular function of the first kind and its derivative obl_rad1(m, n, c, x) Oblate spheroidal radial function of the first kind and its derivative obl_rad2(m, n, c, x) Oblate spheroidal radial function of the second kind and its derivative. pro_cv(m, n, c) Characteristic value of prolate spheroidal function obl_cv(m, n, c) Characteristic value of oblate spheroidal function pro_cv_seq(m, n, c) Characteristic values for prolate spheroidal wave functions. obl_cv_seq(m, n, c) Characteristic values for oblate spheroidal wave functions.

The following functions require pre-computed characteristic value:

Kelvin Functions¶

 kelvin(x) Kelvin functions as complex numbers kelvin_zeros(nt) Compute nt zeros of all Kelvin functions. ber(x) Kelvin function ber. bei(x) Kelvin function bei berp(x) Derivative of the Kelvin function ber beip(x) Derivative of the Kelvin function bei ker(x) Kelvin function ker kei(x) Kelvin function ker kerp(x) Derivative of the Kelvin function ker keip(x) Derivative of the Kelvin function kei

These are not universal functions:

 ber_zeros(nt) Compute nt zeros of the Kelvin function ber(x). bei_zeros(nt) Compute nt zeros of the Kelvin function bei(x). berp_zeros(nt) Compute nt zeros of the Kelvin function ber’(x). beip_zeros(nt) Compute nt zeros of the Kelvin function bei’(x). ker_zeros(nt) Compute nt zeros of the Kelvin function ker(x). kei_zeros(nt) Compute nt zeros of the Kelvin function kei(x). kerp_zeros(nt) Compute nt zeros of the Kelvin function ker’(x). keip_zeros(nt) Compute nt zeros of the Kelvin function kei’(x).

Combinatorics¶

 comb(N, k[, exact, repetition]) The number of combinations of N things taken k at a time. perm(N, k[, exact]) Permutations of N things taken k at a time, i.e., k-permutations of N.

Other Special Functions¶

 agm(a, b) Compute the arithmetic-geometric mean of a and b. bernoulli(n) Bernoulli numbers B0..Bn (inclusive). binom(n, k) Binomial coefficient diric(x, n) Periodic sinc function, also called the Dirichlet function. euler(n) Euler numbers E(0), E(1), …, E(n). expn(n, x) Exponential integral E_n exp1(z) Exponential integral E_1 of complex argument z expi(x) Exponential integral Ei factorial(n[, exact]) The factorial of a number or array of numbers. factorial2(n[, exact]) Double factorial. factorialk(n, k[, exact]) Multifactorial of n of order k, n(!!…!). shichi(x[, out]) Hyperbolic sine and cosine integrals. sici(x[, out]) Sine and cosine integrals. softmax(x[, axis]) Softmax function spence(z[, out]) Spence’s function, also known as the dilogarithm. zeta(x[, q, out]) Riemann or Hurwitz zeta function. zetac(x) Riemann zeta function minus 1.

Convenience Functions¶

 cbrt(x) Element-wise cube root of x. exp10(x) Compute 10**x element-wise. exp2(x) Compute 2**x element-wise. radian(d, m, s) Convert from degrees to radians cosdg(x) Cosine of the angle x given in degrees. sindg(x) Sine of angle given in degrees tandg(x) Tangent of angle x given in degrees. cotdg(x) Cotangent of the angle x given in degrees. log1p(x) Calculates log(1+x) for use when x is near zero expm1(x) Compute exp(x) - 1. cosm1(x) cos(x) - 1 for use when x is near zero. round(x) Round to nearest integer xlogy(x, y) Compute x*log(y) so that the result is 0 if x = 0. xlog1py(x, y) Compute x*log1p(y) so that the result is 0 if x = 0. logsumexp(a[, axis, b, keepdims, return_sign]) Compute the log of the sum of exponentials of input elements. exprel(x) Relative error exponential, (exp(x) - 1)/x. sinc(x) Return the sinc function.