scipy の API リファレンス
scipy (scipy/scipy) の公開 API 400 件 —— クラス 143、関数 166、メソッド 91。実際のソースを静的解析して抽出した正確なシグネチャを掲載しています。
リポジトリ: scipy/scipy
| 種別 | 件数 |
|---|---|
| クラス | 143 |
| 関数 | 166 |
| メソッド | 91 |
API 一覧
func
.spin.cmds.bench(ctx, tests, submodule, compare, verbose, quick, commits, array_api_backend, dry_run, build, build_dir, *args, **kwargs)🔧 Run benchmarks.
func
.spin.cmds.notes(ctx_obj, version_args)Release notes and log generation.
func
.spin.cmds.refguide_check(ctx, build_dir, *args, **kwargs)🔧 Run refguide check.
class
scipy._external.packaging_version.src.version.InvalidVersionRaised when a version string is not a valid version.
class
scipy._external.packaging_version.src.version.VersionThis class abstracts handling of a project's versions.
method
scipy._external.packaging_version.src.version.Version.base_version() -> strThe "base version" of the version.
method
scipy._external.packaging_version.src.version.Version.dev() -> int | NoneThe development number of the version.
method
scipy._external.packaging_version.src.version.Version.epoch() -> intThe epoch of the version.
method
scipy._external.packaging_version.src.version.Version.is_devrelease() -> boolWhether this version is a development release.
method
scipy._external.packaging_version.src.version.Version.is_postrelease() -> boolWhether this version is a post-release.
method
scipy._external.packaging_version.src.version.Version.is_prerelease() -> boolWhether this version is a pre-release.
method
scipy._external.packaging_version.src.version.Version.local() -> str | NoneThe local version segment of the version.
method
scipy._external.packaging_version.src.version.Version.post() -> int | NoneThe post-release number of the version.
method
scipy._external.packaging_version.src.version.Version.pre() -> tuple[str, int] | NoneThe pre-release segment of the version.
method
scipy._external.packaging_version.src.version.Version.public() -> strThe public portion of the version.
func
scipy._external.packaging_version.src.version.parse(version:str) -> VersionParse the given version string.
func
scipy._lib._array_api.get_native_namespace_name(xp:ModuleType) -> strReturn name for native namespace (without array_api_compat prefix).
func
scipy._lib._array_api.xp_compat_namespace(xp:ModuleType | None) -> ModuleTypeReturn the array-api-compat(ible) namespace corresponding to `xp`.
func
scipy._lib._array_api.xp_copy(x:Array, *xp:ModuleType | None=None) -> ArrayCopies an array.
func
scipy._lib._array_api_docs_tables.calculate_table_statistics(flat_table:list[dict[str, str]]) -> dict[str, dict[str, int]]Get counts of what is supported per module.
func
scipy._lib._array_api_override.array_namespace(*sparse_ok=False, *arrays:Array) -> ModuleTypeGet the array API compatible namespace for the arrays xs.
class
scipy._lib._ccallback.LowLevelCallableLow-level callback function.
func
scipy._lib._docscrape.NumpyDocString.parse_item_name(text)Match ':role:`name`' or 'name'.
class
scipy._lib._docscrape.ReaderA line-based string reader.
func
scipy._lib._docscrape.dedent_lines(lines)Deindent a list of lines maximally
func
scipy._lib._gcutils.set_gc_state(state)Set status of garbage collector
func
scipy._lib._sparse.issparse(x)Is `x` either sparse array or sparse matrix type?
class
scipy._lib._testutils.FPUModeChangeWarningWarning about FPU mode change
func
scipy._lib._util.broadcastable(shape_a:tuple[int, ...], shape_b:tuple[int, ...]) -> boolCheck if two shapes are broadcastable.
class
scipy._lib.doccer.DecoratorA decorator of a function.
func
scipy._lib.doccer.docformat(docstring:str, docdict:Mapping[str, str] | None=None) -> strFill a function docstring from variables in dictionary.
func
scipy._lib.doccer.filldoc(docdict:Mapping[str, str], unindent_params:bool=True) -> DecoratorReturn docstring decorator using docdict variable dictionary.
func
scipy._lib.doccer.unindent_dict(docdict:Mapping[str, str]) -> dict[str, str]Unindent all strings in a docdict.
func
scipy._lib.doccer.unindent_string(docstring:str) -> strSet docstring to minimum indent for all lines, including first.
class
scipy.cluster.hierarchy._hierarchy_impl.ClusterNodeA tree node class for representing a cluster.
class
scipy.cluster.hierarchy._hierarchy_impl.ClusterWarningA ``UserWarning`` raised during clustering.
func
scipy.cluster.hierarchy._hierarchy_impl.centroid(y)Perform centroid/UPGMC linkage.
func
scipy.cluster.hierarchy._hierarchy_impl.leaves_list(Z)Return a list of leaf node ids.
func
scipy.cluster.hierarchy._hierarchy_impl.median(y)Perform median/WPGMC linkage.
class
scipy.cluster.vq._vq_impl.ClusterErrorAn ``Exception`` raised during clustering.
class
scipy.constants._codata.ConstantWarningAccessing a constant no longer in current CODATA data set.
func
scipy.constants._codata.find(sub:str | None=None, disp:bool=False) -> AnyReturn list of physical_constant keys containing a given string.
func
scipy.constants._codata.precision(key:str) -> floatRelative precision in physical_constants indexed by key.
func
scipy.constants._codata.unit(key:str) -> strUnit in physical_constants indexed by key.
func
scipy.constants._codata.value(key:str) -> floatValue in physical_constants indexed by key.
func
scipy.constants._constants.lambda2nu(lambda_:'npt.ArrayLike') -> AnyConvert wavelength to optical frequency.
func
scipy.constants._constants.nu2lambda(nu:'npt.ArrayLike') -> AnyConvert optical frequency to wavelength.
func
scipy.fft._backend.register_backend(backend)Register a backend for permanent use.
func
scipy.fft._backend.set_global_backend(backend, coerce=False, only=False, try_last=False)Sets the global fft backend.
class
scipy.fft._debug_backends.EchoBackendBackend that just prints the __ua_function__ arguments
class
scipy.fft._debug_backends.NumPyBackendBackend that uses numpy.fft
func
scipy.fft._fftlog.fht(a, dln, mu, offset=0.0, bias=0.0)Compute the fast Hankel transform.
func
scipy.fft._helper.ifftshift(x, axes=None)The inverse of `fftshift`.
func
scipy.fftpack._basic.fft2(x, shape=None, axes=(-2, -1), overwrite_x=False)2-D discrete Fourier transform.
func
scipy.integrate._bvp.collocation_fun(fun, y, p, x, h)Evaluate collocation residuals.
func
scipy.integrate._bvp.modify_mesh(x, insert_1, insert_2)Insert nodes into a mesh.
class
scipy.integrate._ivp.base.ConstantDenseOutputConstant value interpolator.
class
scipy.integrate._ivp.base.DenseOutputBase class for local interpolant over step made by an ODE solver.
class
scipy.integrate._ivp.base.OdeSolverBase class for ODE solvers.
method
scipy.integrate._ivp.base.OdeSolver.step()Perform one integration step.
class
scipy.integrate._ivp.bdf.BDFImplicit method based on backward-differentiation formulas.
class
scipy.integrate._ivp.common.OdeSolutionContinuous ODE solution.
func
scipy.integrate._ivp.common.norm(x)Compute RMS norm.
func
scipy.integrate._ivp.common.validate_tol(rtol, atol, n)Validate tolerance values.
class
scipy.integrate._ivp.radau.RadauImplicit Runge-Kutta method of Radau IIA family of order 5.
class
scipy.integrate._ivp.rk.DOP853Explicit Runge-Kutta method of order 8.
class
scipy.integrate._ivp.rk.RK23Explicit Runge-Kutta method of order 3(2).
class
scipy.integrate._ivp.rk.RK45Explicit Runge-Kutta method of order 5(4).
class
scipy.integrate._ivp.rk.RungeKuttaBase class for explicit Runge-Kutta methods.
func
scipy.integrate._ivp.rk.rk_step(fun, t, y, f, h, A, B, C, K)Perform a single Runge-Kutta step.
func
scipy.integrate._lebedev.lebedev_rule(n)Lebedev quadrature.
class
scipy.integrate._ode.complex_odeA wrapper of ode for complex systems.
method
scipy.integrate._ode.complex_ode.set_initial_value(y, t=0.0)Set initial conditions y(t) = y.
method
scipy.integrate._ode.complex_ode.set_integrator(name, **integrator_params)Set integrator by name.
class
scipy.integrate._ode.odeA generic interface class to numeric integrators.
method
scipy.integrate._ode.ode.set_initial_value(y, t=0.0)Set initial conditions y(t) = y.
method
scipy.integrate._ode.ode.set_integrator(name, **integrator_params)Set integrator by name.
method
scipy.integrate._ode.ode.successful()Check if integration was successful.
class
scipy.integrate._odepack_py.ODEintWarningWarning raised during the execution of `odeint`.
class
scipy.integrate._quad_vec.DoubleInfiniteFuncArgument transform from (-oo, oo) to (-1, 1)
class
scipy.integrate._quad_vec.SemiInfiniteFuncArgument transform from (start, +-oo) to (0, 1)
class
scipy.integrate._quadpack_py.IntegrationWarningWarning on issues during integration.
func
scipy.integrate._quadpack_py.dblquad(func, a, b, gfun, hfun, args=(), epsabs=1.49e-08, epsrel=1.49e-08)Compute a double integral.
class
scipy.integrate._rules._base.RuleBase class for numerical integration algorithms (cubatures).
class
scipy.integrate._rules._gauss_kronrod.GaussKronrodQuadratureGauss-Kronrod quadrature.
class
scipy.integrate._rules._gauss_legendre.GaussLegendreQuadratureGauss-Legendre quadrature.
class
scipy.integrate._rules._genz_malik.GenzMalikCubatureGenz-Malik cubature.
class
scipy.interpolate._bary_rational.AAAAAA real or complex rational approximation.
class
scipy.interpolate._bsplines.BSplineUnivariate spline in the B-spline basis.
class
scipy.interpolate._cubic.Akima1DInterpolatorAkima "visually pleasing" interpolator (C1 smooth).
class
scipy.interpolate._cubic.CubicSplinePiecewise cubic interpolator to fit values (C2 smooth).
class
scipy.interpolate._cubic.PchipInterpolatorPCHIP shape-preserving interpolator (C1 smooth).
class
scipy.interpolate._fitpack2.BivariateSplineBase class for bivariate splines.
method
scipy.interpolate._fitpack2.BivariateSpline.ev(xi, yi, dx=0, dy=0)Evaluate the spline at points.
class
scipy.interpolate._fitpack2.LSQBivariateSplineWeighted least-squares bivariate spline approximation.
class
scipy.interpolate._fitpack2.LSQUnivariateSpline1-D spline with explicit internal knots.
class
scipy.interpolate._fitpack2.RectBivariateSplineBivariate spline approximation over a rectangular mesh.
class
scipy.interpolate._fitpack2.SmoothBivariateSplineSmooth bivariate spline approximation.
class
scipy.interpolate._fitpack2.UnivariateSpline1-D smoothing spline fit to a given set of data points.
method
scipy.interpolate._fitpack2.UnivariateSpline.get_coeffs()Return spline coefficients.
method
scipy.interpolate._fitpack2.UnivariateSpline.roots()Return the zeros of the spline.
func
scipy.interpolate._fitpack_py.insert(x, tck, m=1, per=0)Insert knots into a B-spline.
func
scipy.interpolate._fitpack_py.sproot(tck, mest=10)Find the roots of a cubic B-spline.
class
scipy.interpolate._fitpack_repro.FThe r.h.s.
class
scipy.interpolate._fitpack_repro.FperiodicFit a smooth periodic B-spline curve to given data points.
func
scipy.interpolate._fitpack_repro.add_knot(x, t, k, residuals, periodic=False)Add a new knot.
class
scipy.interpolate._interpolate.BPolyPiecewise polynomial in the Bernstein basis.
class
scipy.interpolate._interpolate.NdPPolyPiecewise tensor product polynomial.
class
scipy.interpolate._interpolate.PPolyPiecewise polynomial in the power basis.
class
scipy.interpolate._interpolate.interp1dInterpolate a 1-D function (legacy).
method
scipy.interpolate._interpolate.interp1d.fill_value()The fill value.
class
scipy.interpolate._ndbspline.NdBSplineTensor product spline object.
class
scipy.interpolate._ndgriddata.NearestNDInterpolatorNearest-neighbor interpolator in N > 1 dimensions.
class
scipy.interpolate._polyint.KroghInterpolatorKrogh interpolator (C∞ smooth).
class
scipy.interpolate._rbfinterp.RBFInterpolatorRadial basis function interpolator in N ≥ 1 dimensions.
class
scipy.io._fortran.FortranEOFErrorIndicates that the file ended properly.
method
scipy.io._fortran.FortranFile.close()Closes the file.
class
scipy.io._fortran.FortranFormattingErrorIndicates that the file ended mid-record.
class
scipy.io._harwell_boeing._fortran_format_parser.FortranFormatParserParser for Fortran format strings.
class
scipy.io._harwell_boeing.hb.HBMatrixTypeClass to hold the matrix type.
func
scipy.io._harwell_boeing.hb.hb_read(path_or_open_file, *spmatrix=_NoValue)Read HB-format file.
func
scipy.io._harwell_boeing.hb.hb_write(path_or_open_file, m, hb_info=None)Write HB-format file.
class
scipy.io._idl.ObjectPointerClass used to define object pointers
class
scipy.io._idl.PointerClass used to define pointers
func
scipy.io._idl.readsav(file_name, idict=None, python_dict=False, uncompressed_file_name=None, verbose=False)Read an IDL .sav file.
class
scipy.io._netcdf.netcdf_fileA file object for NetCDF data.
method
scipy.io._netcdf.netcdf_file.close()Closes the NetCDF file.
class
scipy.io._netcdf.netcdf_variableA data object for netcdf files.
method
scipy.io._netcdf.netcdf_variable.itemsize()Return the itemsize of the variable.
method
scipy.io._netcdf.netcdf_variable.typecode()Return the typecode of the variable.
class
scipy.io.arff._arffread.ArffErrorBase exception for errors when reading ARFF files.
method
scipy.io.arff._arffread.Attribute.parse_data(data_str)Parse a value of this type.
class
scipy.io.arff._arffread.MetaDataSmall container to keep useful information on an ARFF dataset.
method
scipy.io.arff._arffread.MetaData.names()Return the list of attribute names.
method
scipy.io.arff._arffread.MetaData.types()Return the list of attribute types.
class
scipy.io.arff._arffread.ParseArffErrorException for syntax and parsing errors in ARFF files.
func
scipy.io.arff._arffread.loadarff(f)Read an arff file.
func
scipy.io.arff._arffread.read_header(ofile)Read the header of the iterable ofile.
func
scipy.io.matlab._mio.loadmat(file_name, mdict=None, appendmat=True, *spmatrix=_NoValue, **kwargs)Load MATLAB file.
func
scipy.io.matlab._mio.whosmat(file_name, appendmat=True, **kwargs)List variables inside a MATLAB file.
class
scipy.io.matlab._mio4.MatFile4ReaderReader for Mat4 files
method
scipy.io.matlab._mio4.MatFile4Reader.list_variables()list variables from stream
class
scipy.io.matlab._mio4.MatFile4WriterClass for writing matlab 4 format files
class
scipy.io.matlab._mio4.VarReader4Class to read matlab 4 variables
method
scipy.io.matlab._mio4.VarReader4.read_header()Read and return header for variable
class
scipy.io.matlab._mio5.EmptyStructMarkerClass to indicate presence of empty matlab struct on output
class
scipy.io.matlab._mio5.MatFile5WriterClass for writing mat5 files
class
scipy.io.matlab._mio5.VarWriter5Generic matlab matrix writing class
method
scipy.io.matlab._mio5.VarWriter5.write_element(arr, mdtype=None)write tag and data
method
scipy.io.matlab._mio5.VarWriter5.write_sparse(arr)Sparse matrices are 2D
class
scipy.io.matlab._mio5_params.MatlabFunctionSubclass for a MATLAB function.
class
scipy.io.matlab._mio5_params.MatlabObjectSubclass of ndarray to signal this is a matlab object.
class
scipy.io.matlab._mio5_params.MatlabOpaqueSubclass for a MATLAB opaque matrix.
class
scipy.io.matlab._mio5_params.mat_structPlaceholder for holding read data from structs.
class
scipy.io.matlab._miobase.MatReadErrorException indicating a read issue.
class
scipy.io.matlab._miobase.MatReadWarningWarning class for read issues.
class
scipy.io.matlab._miobase.MatVarReaderAbstract class defining required interface for var readers
method
scipy.io.matlab._miobase.MatVarReader.array_from_header(header)Reads array given header
method
scipy.io.matlab._miobase.MatVarReader.read_header()Returns header
class
scipy.io.matlab._miobase.MatWriteErrorException indicating a write issue.
class
scipy.io.matlab._miobase.MatWriteWarningWarning class for write issues.
func
scipy.io.matlab._miobase.arr_to_chars(arr)Convert string array to char array
func
scipy.io.wavfile.read(filename, mmap=False)Open a WAV file.
func
scipy.io.wavfile.write(filename, rate, data)Write a NumPy array as a WAV file.
func
scipy.linalg._basic.det(a, overwrite_a=False, check_finite=True)Compute the determinant of a matrix.
func
scipy.linalg._decomp_polar.polar(a, side='right')Compute the polar decomposition.
func
scipy.linalg._matfuncs.coshm(A)Compute the hyperbolic matrix cosine.
func
scipy.linalg._matfuncs.cosm(A)Compute the matrix cosine.
func
scipy.linalg._matfuncs.expm(A)Compute the matrix exponential of an array.
func
scipy.linalg._matfuncs.khatri_rao(a, b)Khatri-Rao product of two matrices.
func
scipy.linalg._matfuncs.logm(A)Compute matrix logarithm.
func
scipy.linalg._matfuncs.signm(A)Matrix sign function.
func
scipy.linalg._matfuncs.sinhm(A)Compute the hyperbolic matrix sine.
func
scipy.linalg._matfuncs.sinm(A)Compute the matrix sine.
func
scipy.linalg._matfuncs.sqrtm(A)Compute, if exists, the matrix square root.
func
scipy.linalg._matfuncs.tanhm(A)Compute the hyperbolic matrix tangent.
func
scipy.linalg._matfuncs.tanm(A)Compute the matrix tangent.
func
scipy.linalg._misc.norm(a, ord=None, axis=None, keepdims=False, check_finite=True)Matrix or vector norm.
func
scipy.linalg._special_matrices.circulant(c)Construct a circulant matrix.
func
scipy.linalg._special_matrices.companion(a)Create a companion matrix.
func
scipy.linalg._special_matrices.convolution_matrix(a, n, mode='full')Construct a convolution matrix.
func
scipy.linalg._special_matrices.dft(n, scale=None)Discrete Fourier transform matrix.
func
scipy.linalg._special_matrices.fiedler(a)Returns a symmetric Fiedler matrix.
func
scipy.linalg._special_matrices.fiedler_companion(a)Returns a Fiedler companion matrix.
func
scipy.linalg._special_matrices.hadamard(n, dtype=int)Construct a Hadamard matrix.
func
scipy.linalg._special_matrices.hankel(c, r=None)Construct a Hankel matrix.
func
scipy.linalg._special_matrices.helmert(n, full=False)Create a Helmert matrix of order `n`.
func
scipy.linalg._special_matrices.hilbert(n)Create a Hilbert matrix of order `n`.
func
scipy.linalg._special_matrices.leslie(f, s)Create a Leslie matrix.
func
scipy.linalg._special_matrices.pascal(n, kind='symmetric', exact=True)Returns the n x n Pascal matrix.
func
scipy.linalg._special_matrices.toeplitz(c, r=None)Construct a Toeplitz matrix.
func
scipy.linalg.blas.find_best_blas_type(arrays=(), dtype=None)Find best-matching BLAS/LAPACK type.
func
scipy.linalg.interpolative.id_to_svd(B, idx, proj)Convert ID to SVD.
func
scipy.linalg.interpolative.interp_decomp(A, eps_or_k, rand=True, rng=None)Compute ID of a matrix.
func
scipy.linalg.interpolative.reconstruct_matrix_from_id(B, idx, proj)Reconstruct matrix from its ID.
func
scipy.linalg.interpolative.svd(A, eps_or_k, rand=True, rng=None)Compute SVD of a matrix via an ID.
func
scipy.ndimage._filters.prewitt(input, axis=-1, output=None, mode='reflect', cval=0.0)Calculate a Prewitt filter.
func
scipy.ndimage._filters.sobel(input, axis=-1, output=None, mode='reflect', cval=0.0)Calculate a Sobel filter.
func
scipy.ndimage._interpolation.rotate(input, angle, axes=(1, 0), reshape=True, output=None, order=3, mode='constant', cval=0.0, prefilter=True)Rotate an array.
func
scipy.ndimage._interpolation.shift(input, shift, output=None, order=3, mode='constant', cval=0.0, prefilter=True)Shift an array.
func
scipy.ndimage._interpolation.spline_filter(input, order=3, output=np.float64, mode='mirror')Multidimensional spline filter.
func
scipy.ndimage._interpolation.zoom(input, zoom, output=None, order=3, mode='constant', cval=0.0, prefilter=True, *grid_mode=False)Zoom an array.
func
scipy.ndimage._measurements.do_map(inputs, output)labels must be sorted
func
scipy.ndimage._measurements.find_objects(input, max_label=0)Find objects in a labeled array.
func
scipy.ndimage._measurements.label(input, structure=None, output=None)Label features in an array.
func
scipy.ndimage._measurements.sum(input, labels=None, index=None)Calculate the sum of the values of the array.
func
scipy.ndimage._measurements.sum_labels(input, labels=None, index=None)Calculate the sum of the values of the array.
class
scipy.optimize._basinhopping.AdaptiveStepsizeClass to implement adaptive stepsize.
class
scipy.optimize._basinhopping.MetropolisMetropolis acceptance criterion.
class
scipy.optimize._basinhopping.MinimizerWrapperwrap a minimizer function as a minimizer class
class
scipy.optimize._basinhopping.StorageClass used to store the lowest energy structure
class
scipy.optimize._constraints.BoundsBounds constraint on the variables.
class
scipy.optimize._constraints.LinearConstraintLinear constraint on the variables.
class
scipy.optimize._constraints.NonlinearConstraintNonlinear constraint on the variables.
class
scipy.optimize._constraints.PreparedConstraintConstraint prepared from a user defined constraint.
class
scipy.optimize._differentiable_functions.IdentityVectorFunctionIdentity vector function and its derivatives.
class
scipy.optimize._differentiable_functions.LinearVectorFunctionLinear vector function and its derivatives.
class
scipy.optimize._differentiable_functions.ScalarFunctionScalar function and its derivatives.
class
scipy.optimize._differentiable_functions.VectorFunctionVector function and its derivatives.
class
scipy.optimize._dual_annealing.EnergyStateClass used to record the energy state.
class
scipy.optimize._hessian_update_strategy.HessianUpdateStrategyInterface for implementing Hessian update strategies.
method
scipy.optimize._hessian_update_strategy.HessianUpdateStrategy.initialize(n, approx_type)Initialize internal matrix.
method
scipy.optimize._hessian_update_strategy.HessianUpdateStrategy.update(delta_x, delta_grad)Update internal matrix.
class
scipy.optimize._hessian_update_strategy.SR1Symmetric-rank-1 Hessian update strategy.
func
scipy.optimize._isotonic.isotonic_regression(y:'npt.ArrayLike', *weights:'npt.ArrayLike | None'=None, *increasing:bool=True) -> OptimizeResultNonparametric isotonic regression.
func
scipy.optimize._lsq.common.in_bounds(x, lb, ub)Check if a point lies within bounds.
func
scipy.optimize._lsq.common.left_multiplied_operator(J, d)Return diag(d) J as LinearOperator.
func
scipy.optimize._lsq.common.left_multiply(J, d, copy=True)Compute diag(d) J.
func
scipy.optimize._lsq.common.phi_and_derivative(alpha, suf, s, Delta)Function of which to find zero.
func
scipy.optimize._lsq.common.right_multiplied_operator(J, d)Return J diag(d) as LinearOperator.
func
scipy.optimize._lsq.common.right_multiply(J, d, copy=True)Compute J diag(d).
class
scipy.optimize._nonlin.AndersonFind a root of a function, using (extended) Anderson mixing.
class
scipy.optimize._nonlin.JacobianCommon interface for Jacobians or Jacobian approximations.
class
scipy.optimize._nonlin.LowRankMatrixA matrix represented as ..
method
scipy.optimize._nonlin.LowRankMatrix.matvec(v)Evaluate w = M v
method
scipy.optimize._nonlin.LowRankMatrix.rmatvec(v)Evaluate w = M^H v
method
scipy.optimize._nonlin.LowRankMatrix.rsolve(v, tol=0)Evaluate w = M^-H v
method
scipy.optimize._nonlin.LowRankMatrix.solve(v, tol=0)Evaluate w = M^-1 v
class
scipy.optimize._nonlin.TerminationConditionTermination condition for an iteration.
class
scipy.optimize._optimize.OptimizeResultRepresents the optimization result.
class
scipy.optimize._optimize.OptimizeWarningGeneral warning for :mod:`scipy.optimize`.
func
scipy.optimize._optimize.rosen(x)The Rosenbrock function.
func
scipy.optimize._optimize.rosen_der(x)The derivative (i.e.
class
scipy.optimize._shgo_lib._vertex.FieldWrapperObject to wrap field to pass to `multiprocessing.Pool`.
class
scipy.optimize._shgo_lib._vertex.VertexBaseBase class for a vertex.
class
scipy.optimize._shgo_lib._vertex.VertexCacheBaseBase class for a vertex cache for a simplicial complex.
method
scipy.optimize._shgo_lib._vertex.VertexCacheBase.size()Returns the size of the vertex cache.
class
scipy.optimize._trustregion_constr.minimize_trustregion_constr.HessianLinearOperatorBuild LinearOperator from hessp
func
scipy.optimize._trustregion_constr.qp_subproblem.inside_box_boundaries(x, lb, ub)Check if lb <= x <= ub.
func
scipy.optimize._trustregion_constr.qp_subproblem.reinforce_box_boundaries(x, lb, ub)Return clipped value of x
class
scipy.optimize._trustregion_dogleg.DoglegSubproblemQuadratic subproblem solved by the dogleg method
func
scipy.optimize._tstutils.aps03_f(x, a, b)Rapidly changing at the root
func
scipy.optimize._tstutils.aps04_f(x, n, a)Medium-degree polynomial
func
scipy.optimize._tstutils.aps05_f(x)Simple Trigonometric function
func
scipy.optimize._tstutils.aps08_f(x, n)Degree n polynomial
func
scipy.optimize._tstutils.aps10_f(x, n)Exponential plus a polynomial
func
scipy.optimize._tstutils.aps12_f(x, n)nth root of x, with a zero at x=n
func
scipy.optimize._tstutils.cplx01_f(z, n, a)z**n-a: Use to find the nth root of a
func
scipy.optimize._tstutils.cplx02_f(z, a)e**z - a: Use to find the log of a
func
scipy.optimize._tstutils.f1(x)f1 is a quadratic with roots at 0 and 1
func
scipy.optimize._tstutils.f2(x)f2 is a symmetric parabola, x**2 - 1
func
scipy.optimize._tstutils.f3(x)A quartic with roots at 0, 1, 2 and 3
class
scipy.optimize._zeros_py.RootResultsRepresents the root finding result.
class
scipy.signal._czt.CZTCreate a callable chirp z-transform function.
class
scipy.signal._czt.ZoomFFTCreate a callable zoom FFT transform function.
class
scipy.signal._filter_design.BadCoefficientsWarning about badly conditioned filter coefficients.
func
scipy.signal._filter_design.G(w)Gain of filter
func
scipy.signal._filter_design.cutoff(w)When gain = -3 dB, return 0
func
scipy.signal._filter_design.gammatone(freq, ftype, order=None, numtaps=None, fs=None, *xp=None, *device=None)Gammatone filter design.
func
scipy.signal._lti_conversion.ss2tf(A, B, C, D, input=0)State-space to transfer function.
class
scipy.signal._ltisys.StateSpaceLinear Time Invariant system in state-space form.
method
scipy.signal._ltisys.StateSpace.A()State matrix of the `StateSpace` system.
method
scipy.signal._ltisys.StateSpace.B()Input matrix of the `StateSpace` system.
method
scipy.signal._ltisys.StateSpace.C()Output matrix of the `StateSpace` system.
class
scipy.signal._ltisys.TransferFunctionLinear Time Invariant system class in transfer function form.
class
scipy.signal._ltisys.ZerosPolesGainLinear Time Invariant system class in zeros, poles, gain form.
method
scipy.signal._ltisys.ZerosPolesGain.gain()Gain of the `ZerosPolesGain` system.
method
scipy.signal._ltisys.ZerosPolesGain.poles()Poles of the `ZerosPolesGain` system.
method
scipy.signal._ltisys.ZerosPolesGain.zeros()Zeros of the `ZerosPolesGain` system.
func
scipy.signal._ltisys.dimpulse(system, x0=None, t=None, n=None)Impulse response of discrete-time system.
class
scipy.signal._ltisys.dltiDiscrete-time linear time invariant system base class.
method
scipy.signal._ltisys.dlti.dt()Return the sampling time of the system.
func
scipy.signal._ltisys.dstep(system, x0=None, t=None, n=None)Step response of discrete-time system.
class
scipy.signal._ltisys.ltiContinuous-time linear time invariant system base class.
func
scipy.signal._polyutils.polyroots(coef, *xp)numpy.roots, best-effor replacement
func
scipy.signal._polyutils.polyval(p, x, *xp)Old-style polynomial, `np.polyval`
func
scipy.signal._signaltools.convolve(in1, in2, mode='full', method='auto')Convolve two N-dimensional arrays.
func
scipy.signal._signaltools.medfilt2d(input, kernel_size=3)Median filter a 2-dimensional array.
func
scipy.signal._waveforms.square(t, duty=0.5)Return a periodic square-wave waveform.
func
scipy.signal.windows._windows.bartlett(M, sym=True, *xp=None, *device=None)Return a Bartlett window.
func
scipy.signal.windows._windows.blackman(M, sym=True, *xp=None, *device=None)Return a Blackman window.
func
scipy.signal.windows._windows.bohman(M, sym=True, *xp=None, *device=None)Return a Bohman window.
func
scipy.signal.windows._windows.chebwin(M, at, sym=True, *xp=None, *device=None)Return a Dolph-Chebyshev window.
func
scipy.signal.windows._windows.flattop(M, sym=True, *xp=None, *device=None)Return a flat top window.
func
scipy.signal.windows._windows.gaussian(M, std, sym=True, *xp=None, *device=None)Return a Gaussian window.
func
scipy.signal.windows._windows.hamming(M, sym=True, *xp=None, *device=None)Return a Hamming window.
func
scipy.signal.windows._windows.hann(M, sym=True, *xp=None, *device=None)Return a Hann window.
func
scipy.signal.windows._windows.kaiser(M, beta, sym=True, *xp=None, *device=None)Return a Kaiser window.
func
scipy.signal.windows._windows.parzen(M, sym=True, *xp=None, *device=None)Return a Parzen window.
func
scipy.signal.windows._windows.taylor(M, nbar=4, sll=30, norm=True, sym=True, *xp=None, *device=None)Return a Taylor window.
func
scipy.signal.windows._windows.triang(M, sym=True, *xp=None, *device=None)Return a triangular window.
class
scipy.sparse._base.SparseWarningGeneral warning for :mod:`scipy.sparse`.
func
scipy.sparse._base.isspmatrix(x)Is `x` of a sparse matrix type?
class
scipy.sparse._base.sparrayA namespace class to separate sparray from spmatrix.
class
scipy.sparse._bsr.bsr_arrayBlock Sparse Row format sparse array.
class
scipy.sparse._bsr.bsr_matrixBlock Sparse Row format sparse matrix.
func
scipy.sparse._bsr.isspmatrix_bsr(x)Is `x` of a bsr_matrix type?
func
scipy.sparse._construct.expand_dims(A, *axis=0)Add trivial axes to an array.
func
scipy.sparse._construct.identity(n, dtype='d', format=None)Identity matrix in sparse format.
func
scipy.sparse._construct.matrix_transpose(A)Return the matrix transpose of `A`.
func
scipy.sparse._construct.swapaxes(A, axis1, axis2)Interchange two axes of an array.
class
scipy.sparse._coo.coo_arrayA sparse array in COOrdinate format.
class
scipy.sparse._coo.coo_matrixA sparse matrix in COOrdinate format.
func
scipy.sparse._coo.isspmatrix_coo(x)Is `x` of coo_matrix type?
class
scipy.sparse._csc.csc_arrayCompressed Sparse Column array.
class
scipy.sparse._csc.csc_matrixCompressed Sparse Column matrix.
func
scipy.sparse._csc.isspmatrix_csc(x)Is `x` of csc_matrix type?
class
scipy.sparse._csr.csr_arrayCompressed Sparse Row array.
class
scipy.sparse._csr.csr_matrixCompressed Sparse Row matrix.
func
scipy.sparse._csr.isspmatrix_csr(x)Is `x` of csr_matrix type?
class
scipy.sparse._dia.dia_arraySparse array with DIAgonal storage.
class
scipy.sparse._dia.dia_matrixSparse matrix with DIAgonal storage.
func
scipy.sparse._dia.isspmatrix_dia(x)Is `x` of dia_matrix type?
class
scipy.sparse._dok.dok_arrayDictionary Of Keys based sparse array.
class
scipy.sparse._dok.dok_matrixDictionary Of Keys based sparse matrix.
method
scipy.sparse._dok.dok_matrix.get_shape()Get shape of a sparse matrix.
func
scipy.sparse._dok.isspmatrix_dok(x)Is `x` of dok_array type?
func
scipy.sparse._lil.isspmatrix_lil(x)Is `x` of lil_matrix type?
class
scipy.sparse._lil.lil_arrayRow-based LIst of Lists sparse array.
class
scipy.sparse._lil.lil_matrixRow-based LIst of Lists sparse matrix.
class
scipy.sparse._matrix.spmatrixThis class provides a base class for all sparse matrix classes.
method
scipy.sparse._matrix.spmatrix.get_shape()Get the shape of the matrix
method
scipy.sparse._matrix.spmatrix.getformat()Matrix storage format
method
scipy.sparse._matrix.spmatrix.set_shape(shape)Set the shape of the matrix in-place
func
scipy.sparse._sputils.get_sum_dtype(dtype:np.dtype) -> np.dtype | type[np.generic]Mimic numpy's casting for np.sum
func
scipy.sparse._sputils.isintlike(x) -> boolIs x appropriate as an index into a sparse matrix?
func
scipy.sparse._sputils.isscalarlike(x) -> boolIs x either a scalar, an array scalar, or a 0-dim array?
func
scipy.sparse._sputils.isshape(x, nonneg=False, *allow_nd=(2,), *check_nd=True) -> boolIs x a valid tuple of dimensions?
class
scipy.sparse.linalg._dsolve.linsolve.MatrixRankWarningWarning for exactly singular matrices.
class
scipy.sparse.linalg._eigen.arpack.arpack.ArpackErrorARPACK error.
class
scipy.sparse.linalg._eigen.arpack.arpack.ArpackNoConvergenceARPACK iteration did not converge.
class
scipy.sparse.linalg._expm_multiply.LazyOperatorNormInfoInformation about an operator is lazily computed.
method
scipy.sparse.linalg._expm_multiply.LazyOperatorNormInfo.onenorm()Compute the exact 1-norm.
method
scipy.sparse.linalg._expm_multiply.LazyOperatorNormInfo.set_scale(scale)Set the scale parameter.
class
scipy.sparse.linalg._interface.LinearOperatorCommon interface for performing matrix vector products.
method
scipy.sparse.linalg._interface.LinearOperator.H()Hermitian adjoint.
method
scipy.sparse.linalg._interface.LinearOperator.T()Transpose.
method
scipy.sparse.linalg._interface.LinearOperator.adjoint()Hermitian adjoint.
method
scipy.sparse.linalg._interface.LinearOperator.dot(x)Multi-purpose multiplication method.
method
scipy.sparse.linalg._interface.LinearOperator.matmat(X)Matrix-matrix multiplication.
method
scipy.sparse.linalg._interface.LinearOperator.matvec(x)Matrix-vector multiplication.
method
scipy.sparse.linalg._interface.LinearOperator.transpose()Transpose.
class
scipy.sparse.linalg._interface.MatrixLinearOperatorOperator defined by a matrix `A` which implements ``@``.
func
scipy.sparse.linalg._interface.aslinearoperator(A)Return `A` as a `LinearOperator`.
func
scipy.sparse.linalg._matfuncs.inv(A)Compute the inverse of a sparse arrays.
func
scipy.sparse.linalg._norm.norm(x, ord=None, axis=None)Norm of a sparse matrix.
func
scipy.spatial._geometric_slerp.geometric_slerp(start:'npt.ArrayLike', end:'npt.ArrayLike', t:'npt.ArrayLike', tol:float=1e-07) -> np.ndarrayGeometric spherical linear interpolation.
class
scipy.spatial._kdtree.KDTreekd-tree for quick nearest-neighbor lookup.
class
scipy.spatial._kdtree.RectangleHyperrectangle class.
method
scipy.spatial._kdtree.Rectangle.split(d, split)Produce two hyperrectangles by splitting.
func
scipy.spatial._kdtree.distance_matrix(x, y, p=2.0, threshold=1000000)Compute the distance matrix.
class
scipy.spatial._spherical_voronoi.SphericalVoronoiVoronoi diagrams on the surface of a sphere.
func
scipy.spatial.distance._distance.chebyshev(u, v, w=None)Compute the Chebyshev distance.
class
scipy.spatial.transform._rigid_transform.RigidTransformRigid transform in 3 dimensions.
method
scipy.spatial.transform._rigid_transform.RigidTransform.apply(vector:ArrayLike, inverse:bool=False) -> ArrayApply the transform to a vector.
method
scipy.spatial.transform._rigid_transform.RigidTransform.from_dual_quat(dual_quat:ArrayLike, *scalar_first:bool=False) -> RigidTransformInitialize from a unit dual quaternion.
method
scipy.spatial.transform._rigid_transform.RigidTransform.from_exp_coords(exp_coords:ArrayLike) -> RigidTransformInitialize from exponential coordinates of transform.
method
scipy.spatial.transform._rigid_transform.RigidTransform.from_matrix(matrix:ArrayLike) -> RigidTransformInitialize from a 4x4 transformation matrix.
method
scipy.spatial.transform._rigid_transform.RigidTransform.from_rotation(rotation:Rotation) -> RigidTransformInitialize from a rotation, without a translation.
method
scipy.spatial.transform._rigid_transform.RigidTransform.identity(num:int | None=None, *shape:int | tuple[int, ...] | None=None) -> RigidTransformInitialize an identity transform.
method
scipy.spatial.transform._rigid_transform.RigidTransform.inv() -> RigidTransformInvert this transform.
method
scipy.spatial.transform._rigid_transform.RigidTransform.mean(weights:ArrayLike | None=None, axis:None | int | tuple[int, ...]=None) -> RigidTransformGet the mean of the transforms.
method
scipy.spatial.transform._rigid_transform.RigidTransform.rotation() -> RotationReturn the rotation component of the transform.
method
scipy.spatial.transform._rigid_transform.RigidTransform.shape() -> tuple[int, ...]The shape of the transform's leading dimensions.
func
scipy.spatial.transform._rigid_transform.normalize_dual_quaternion(dual_quat:ArrayLike) -> ArrayNormalize dual quaternion.
func
scipy.spatial.transform._rigid_transform_xp.normalize_dual_quaternion(dual_quat:Array) -> ArrayNormalize dual quaternion.
class
scipy.spatial.transform._rotation.RotationRotation in 3 dimensions.
method
scipy.spatial.transform._rotation.Rotation.apply(vectors:ArrayLike, inverse:bool=False) -> ArrayApply this rotation to a set of vectors.
method
scipy.spatial.transform._rotation.Rotation.as_davenport(axes:ArrayLike, order:str, degrees:bool=False, *suppress_warnings:bool=False) -> ArrayRepresent as Davenport angles.
method
scipy.spatial.transform._rotation.Rotation.as_euler(seq:str, degrees:bool=False, *suppress_warnings:bool=False) -> ArrayRepresent as Euler angles.
method
scipy.spatial.transform._rotation.Rotation.as_matrix() -> ArrayRepresent as rotation matrix.
method
scipy.spatial.transform._rotation.Rotation.as_mrp() -> ArrayRepresent as Modified Rodrigues Parameters (MRPs).
method
scipy.spatial.transform._rotation.Rotation.as_quat(canonical:bool=False, *scalar_first:bool=False) -> ArrayRepresent as quaternions.
method
scipy.spatial.transform._rotation.Rotation.as_rotvec(degrees:bool=False) -> ArrayRepresent as rotation vectors.
method
scipy.spatial.transform._rotation.Rotation.create_group(group:str, axis:str='Z') -> RotationCreate a 3D rotation group.
method
scipy.spatial.transform._rotation.Rotation.from_davenport(axes:ArrayLike, order:str, angles:ArrayLike | float, degrees:bool=False) -> RotationInitialize from Davenport angles.
method
scipy.spatial.transform._rotation.Rotation.from_euler(seq:str, angles:ArrayLike, degrees:bool=False) -> RotationInitialize from Euler angles.
method
scipy.spatial.transform._rotation.Rotation.from_matrix(matrix:ArrayLike, *assume_valid:bool=False) -> RotationInitialize from rotation matrix.
method
scipy.spatial.transform._rotation.Rotation.from_mrp(mrp:ArrayLike) -> RotationInitialize from Modified Rodrigues Parameters (MRPs).
method
scipy.spatial.transform._rotation.Rotation.from_quat(quat:ArrayLike, *scalar_first:bool=False) -> RotationInitialize from quaternions.
method
scipy.spatial.transform._rotation.Rotation.from_rotvec(rotvec:ArrayLike, degrees:bool=False) -> RotationInitialize from rotation vectors.
method
scipy.spatial.transform._rotation.Rotation.identity(num:int | None=None, *shape:int | tuple[int, ...] | None=None) -> RotationGet identity rotation(s).
method
scipy.spatial.transform._rotation.Rotation.inv() -> RotationInvert this rotation.
method
scipy.spatial.transform._rotation.Rotation.magnitude() -> ArrayGet the magnitude(s) of the rotation(s).
method
scipy.spatial.transform._rotation.Rotation.mean(weights:ArrayLike | None=None, axis:None | int | tuple[int, ...]=None) -> RotationGet the mean of the rotations.
method
scipy.spatial.transform._rotation.Rotation.shape() -> tuple[int, ...]The shape of the rotation's leading dimensions.
method
scipy.spatial.transform._rotation.Rotation.single() -> boolWhether this instance represents a single rotation.
class
scipy.spatial.transform._rotation.SlerpSpherical Linear Interpolation of Rotations.
func
scipy.spatial.transform._rotation.select_backend(xp:ModuleType, cython_compatible:bool)Select the backend for the given array library.
func
scipy.special._basic.bernoulli(n)Bernoulli numbers B0..Bn (inclusive).
この情報について
掲載しているシグネチャは scipy/scipy の公開ソースコードを
Python の ast モジュールで静的解析し、引数名・デフォルト値・
型注釈・戻り値型をそのまま抽出したものです。実装コードは保存していません。
詳しくは仕組みの解説をご覧ください。