numpy の API リファレンス
numpy (numpy/numpy) の公開 API 312 件 —— クラス 54、関数 220、メソッド 38。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: numpy/numpy
| 種別 | 件数 |
|---|---|
| クラス | 54 |
| 関数 | 220 |
| メソッド | 38 |
API 一覧
func
.spin.cmds.bench(ctx, tests, compare, verbose, quick, factor, cpu_affinity, commits, build_dir)🏋 Run benchmarks.
func
.spin.cmds.mypy(ctx)🦆 Run Mypy tests for NumPy
func
.spin.cmds.pyrefly() -> None🪲 Type-check the stubs with Pyrefly
func
.spin.cmds.stubtest(*concise:bool, *build_dir:str) -> None🧐 Run stubtest on NumPy's .pyi stubs Requires mypy to be installed
class
numpy._build_utils.tempita._tempita.TemplateErrorException raised while parsing a template
class
numpy._core._exceptions.UFuncTypeErrorBase class for all ufunc exceptions
class
numpy._core._ufunc_config.errstateerrstate(**kwargs) Context manager for floating-point error handling.
class
numpy._core.arrayprint.ComplexFloatingFormatFormatter for subtypes of np.complexfloating
class
numpy._core.arrayprint.FloatingFormatFormatter for subtypes of np.floating
class
numpy._core.arrayprint.StructuredVoidFormatFormatter for structured np.void objects.
func
numpy._core.arrayprint.get_printoptions()Return the current print options.
func
numpy._core.code_generators.genapi.order_dict(d)Order dict by its values.
class
numpy._core.code_generators.generate_umath.TypeDescriptionType signature for a ufunc.
class
numpy._core.code_generators.generate_umath.UfuncDescription of a ufunc.
func
numpy._core.defchararray.array(obj, itemsize=None, copy=True, unicode=None, order=None)Create a `~numpy.char.chararray`.
func
numpy._core.defchararray.equal(x1, x2)Return (x1 == x2) element-wise.
func
numpy._core.defchararray.greater(x1, x2)Return (x1 > x2) element-wise.
func
numpy._core.defchararray.greater_equal(x1, x2)Return (x1 >= x2) element-wise.
func
numpy._core.defchararray.less(x1, x2)Return (x1 < x2) element-wise.
func
numpy._core.defchararray.less_equal(x1, x2)Return (x1 <= x2) element-wise.
func
numpy._core.defchararray.not_equal(x1, x2)Return (x1 != x2) element-wise.
func
numpy._core.fromnumeric.diagonal(a, offset=0, axis1=0, axis2=1)Return specified diagonals.
func
numpy._core.fromnumeric.ndim(a)Return the number of dimensions of an array.
func
numpy._core.fromnumeric.ravel(a, order='C')Return a contiguous flattened array.
func
numpy._core.fromnumeric.shape(a)Return the shape of an array.
func
numpy._core.fromnumeric.squeeze(a, axis=None)Remove axes of length one from `a`.
func
numpy._core.fromnumeric.swapaxes(a, axis1, axis2)Interchange two axes of an array.
func
numpy._core.fromnumeric.transpose(a, axes=None)Returns an array with axes transposed.
class
numpy._core.getlimits.finfofinfo(dtype) Machine limits for floating point types.
class
numpy._core.getlimits.iinfoiinfo(type) Machine limits for integer types.
method
numpy._core.getlimits.iinfo.max()Maximum value of given dtype.
method
numpy._core.getlimits.iinfo.min()Minimum value of given dtype.
func
numpy._core.multiarray.inner(a, b)inner(a, b, /) Inner product of two arrays.
func
numpy._core.numeric.astype(x, dtype, *copy=True, *device=None)Copies an array to a specified data type.
func
numpy._core.numeric.identity(n, dtype=None, *like=None)Return the identity array.
func
numpy._core.numeric.moveaxis(a, source, destination)Move axes of an array to new positions.
func
numpy._core.numeric.outer(a, b, out=None)Compute the outer product of two vectors.
func
numpy._core.numeric.roll(a, shift, axis=None)Roll array elements along a given axis.
func
numpy._core.overrides.array_function_dispatch(dispatcher=None, module=None, verify=True, docs_from_dispatcher=False, reduction=None)Decorator for adding dispatch with the __array_function__ protocol.
func
numpy._core.overrides.verify_matching_signatures(implementation, dispatcher)Verify that a dispatcher function has the right signature.
class
numpy._core.records.format_parserClass to convert formats, names, titles description to a dtype.
class
numpy._core.records.recarrayConstruct an ndarray that allows field access using attributes.
class
numpy._core.records.recordA data-type scalar that allows field access as attribute lookup.
method
numpy._core.records.record.pprint()Pretty-print all fields.
func
numpy._core.strings.encode(a, encoding=None, errors=None)Calls :meth:`str.encode` element-wise.
class
numpy._pytesttester.PytestTesterPytest test runner.
func
numpy._typing._add_docstring.add_newdoc(name:str, value:str, doc:str) -> NoneAppend ``_docstrings_list`` with a docstring for `name`.
func
numpy._utils._inspect.getargs(co)Get information about the arguments accepted by a code object.
func
numpy._utils._inspect.getargspec(func)Get the names and default values of a function's arguments.
func
numpy._utils._inspect.iscode(object)Return true if the object is a code object.
func
numpy._utils._inspect.isfunction(object)Return true if the object is a user-defined function.
func
numpy._utils._inspect.ismethod(object)Return true if the object is an instance method.
class
numpy._utils._pep440.InvalidVersionAn invalid version was found, users should refer to PEP 440.
func
numpy._utils.set_module(module)Private decorator for overriding __module__ on a function or class.
func
numpy.ctypeslib._ctypeslib.as_ctypes_type(dtype)Convert a dtype into a ctypes type.
class
numpy.exceptions.AxisErrorAxis supplied was invalid.
class
numpy.exceptions.DTypePromotionErrorMultiple DTypes could not be converted to a common one.
class
numpy.exceptions.ModuleDeprecationWarningModule deprecation warning.
class
numpy.exceptions.RankWarningMatrix rank warning.
class
numpy.exceptions.TooHardError``max_work`` was exceeded.
class
numpy.exceptions.VisibleDeprecationWarningVisible deprecation warning.
method
numpy.f2py._backends._backend.Backend.compile() -> NoneCompile the wrapper.
class
numpy.f2py._backends._meson.MesonTemplateTemplate meson build file generation class.
func
numpy.f2py._src_pyf.unique_key(adict)Obtain a unique key given a dictionary.
func
numpy.f2py.capi_maps.getctype(var)Determines C type
func
numpy.f2py.capi_maps.modsign2map(m)modulename
func
numpy.f2py.cfuncs.errmess(s:str) -> NoneWrite an error message to stderr.
func
numpy.f2py.crackfortran.param_parse(d, params)Recursively parse array dimensions.
func
numpy.f2py.f2py2e.filter_files(prefix, suffix, files, remove_prefix=None)Filter files by prefix and suffix.
func
numpy.f2py.f2py2e.run_compile()Do it all in one call!
func
numpy.f2py.rules.buildmodule(m, um)Return
class
numpy.f2py.symbolic.ArithOpUsed in Op.APPLY expression to specify the function part.
class
numpy.f2py.symbolic.ExprRepresents a Fortran expression as an op-data pair.
method
numpy.f2py.symbolic.Expr.contains(other)Check if self contains other.
method
numpy.f2py.symbolic.Expr.parse(s, language=Language.C)Parse a Fortran expression to an Expr.
method
numpy.f2py.symbolic.Expr.symbols()Return a set of symbols contained in self.
class
numpy.f2py.symbolic.LanguageUsed as Expr.tostring language argument.
class
numpy.f2py.symbolic.OpUsed as Expr op attribute.
class
numpy.f2py.symbolic.PrecedenceUsed as Expr.tostring precedence argument.
class
numpy.f2py.symbolic.RelOpUsed in Op.RELATIONAL expression to specify the function part.
func
numpy.f2py.symbolic.as_deref(expr)Return object as dereferencing expression.
func
numpy.f2py.symbolic.as_expr(obj)Convert non-Expr objects to Expr objects.
func
numpy.f2py.symbolic.as_factors(obj)Return expression as FACTORS expression.
func
numpy.f2py.symbolic.as_integer(obj, kind=4)Return object as INTEGER constant.
func
numpy.f2py.symbolic.as_number(obj, kind=4)Return object as INTEGER or REAL constant.
func
numpy.f2py.symbolic.as_numer_denom(obj)Return expression as numer-denom pair.
func
numpy.f2py.symbolic.as_real(obj, kind=4)Return object as REAL constant.
func
numpy.f2py.symbolic.as_ref(expr)Return object as referencing expression.
func
numpy.f2py.symbolic.as_term_coeff(obj)Return expression as term-coefficient pair.
func
numpy.f2py.symbolic.as_terms(obj)Return expression as TERMS expression.
func
numpy.f2py.symbolic.fromstring(s, language=Language.C)Create an expression from a string.
func
numpy.f2py.symbolic.insert_quotes(s, d)Inverse of eliminate_quotes.
func
numpy.f2py.symbolic.normalize(obj)Normalize Expr and apply basic evaluation methods.
func
numpy.f2py.symbolic.unreplace_parenthesis(s, d)Inverse of replace_parenthesis.
func
numpy.fft._helper.ifftshift(x, axes=None)The inverse of `fftshift`.
func
numpy.fft._pocketfft.irfft(a, n=None, axis=-1, norm=None, out=None)Computes the inverse of `rfft`.
func
numpy.fft._pocketfft.irfft2(a, s=None, axes=(-2, -1), norm=None, out=None)Computes the inverse of `rfft2`.
func
numpy.fft._pocketfft.irfftn(a, s=None, axes=None, norm=None, out=None)Computes the inverse of `rfftn`.
func
numpy.lib._arraypad_impl.pad(array, pad_width, mode='constant', **kwargs)Pad an array.
func
numpy.lib._arraysetops_impl.union1d(ar1, ar2)Find the union of two arrays.
class
numpy.lib._arrayterator_impl.ArrayteratorBuffered iterator for big arrays.
method
numpy.lib._datasource.DataSource.exists(path)Test if path exists.
method
numpy.lib._datasource.Repository.listdir()List files in the source Repository.
func
numpy.lib._function_base_impl.append(arr, values, axis=None)Append values to the end of an array.
func
numpy.lib._function_base_impl.bartlett(M)Return the Bartlett window.
func
numpy.lib._function_base_impl.blackman(M)Return the Blackman window.
func
numpy.lib._function_base_impl.hamming(M)Return the Hamming window.
func
numpy.lib._function_base_impl.hanning(M)Return the Hanning window.
func
numpy.lib._function_base_impl.kaiser(M, beta)Return the Kaiser window.
func
numpy.lib._function_base_impl.sinc(x)Return the normalized sinc function.
class
numpy.lib._index_tricks_impl.AxisConcatenatorTranslates slice objects to concatenation along an axis.
class
numpy.lib._index_tricks_impl.IndexExpressionA nicer way to build up index tuples for arrays.
class
numpy.lib._index_tricks_impl.nd_gridConstruct a multi-dimensional "meshgrid".
class
numpy.lib._index_tricks_impl.ndenumerateMultidimensional index iterator.
class
numpy.lib._index_tricks_impl.ndindexAn N-dimensional iterator object to index arrays.
class
numpy.lib._iotools.ConversionWarningWarning issued when a string converter has a problem.
class
numpy.lib._iotools.NameValidatorObject to validate a list of strings to use as field names.
class
numpy.lib._npyio_impl.WriteWrapConvert to bytes on bytestream inputs.
func
numpy.lib._npyio_impl.zipfile_factory(file, *args, **kwargs)Create a ZipFile.
class
numpy.lib._polynomial_impl.poly1dA one-dimensional polynomial class.
method
numpy.lib._polynomial_impl.poly1d.coeffs()The polynomial coefficients
method
numpy.lib._polynomial_impl.poly1d.deriv(m=1)Return a derivative of this polynomial.
method
numpy.lib._polynomial_impl.poly1d.order()The order or degree of the polynomial
method
numpy.lib._polynomial_impl.poly1d.variable()The name of the polynomial variable
func
numpy.lib._polynomial_impl.polyadd(a1, a2)Find the sum of two polynomials.
func
numpy.lib._polynomial_impl.polyfit(x, y, deg, rcond=None, full=False, w=None, cov=False)Least squares polynomial fit.
func
numpy.lib._polynomial_impl.polymul(a1, a2)Find the product of two polynomials.
func
numpy.lib._polynomial_impl.polyval(p, x)Evaluate a polynomial at specific values.
func
numpy.lib._scimath_impl.arccos(x)Compute the inverse cosine of x.
func
numpy.lib._scimath_impl.arcsin(x)Compute the inverse sine of x.
func
numpy.lib._scimath_impl.log(x)Compute the natural logarithm of `x`.
func
numpy.lib._scimath_impl.log10(x)Compute the logarithm base 10 of `x`.
func
numpy.lib._scimath_impl.log2(x)Compute the logarithm base 2 of `x`.
func
numpy.lib._scimath_impl.logn(n, x)Take log base n of x.
func
numpy.lib._scimath_impl.power(x, p)Return x to the power p, (x**p).
func
numpy.lib._scimath_impl.sqrt(x)Compute the square root of x.
func
numpy.lib._shape_base_impl.expand_dims(a, axis)Expand the shape of an array.
func
numpy.lib._shape_base_impl.kron(a, b)Kronecker product of two arrays.
func
numpy.lib._stride_tricks_impl.broadcast_to(array, shape, subok=False)Broadcast an array to a new shape.
func
numpy.lib._twodim_base_impl.tril(m, k=0)Lower triangle of an array.
func
numpy.lib._twodim_base_impl.triu(m, k=0)Upper triangle of an array.
func
numpy.lib._twodim_base_impl.vander(x, N=None, increasing=False)Generate a Vandermonde matrix.
func
numpy.lib._ufunclike_impl.fix(x, out=None)Round to nearest integer towards zero.
func
numpy.linalg._linalg.cholesky(a, *upper=False)Cholesky decomposition.
func
numpy.linalg._linalg.cond(x, p=None)Compute the condition number of a matrix.
func
numpy.linalg._linalg.det(a)Compute the determinant of an array.
func
numpy.linalg._linalg.eigvals(a)Compute the eigenvalues of a general matrix.
func
numpy.linalg._linalg.inv(a)Compute the inverse of a matrix.
func
numpy.linalg._linalg.matmul(x1, x2)Computes the matrix product.
func
numpy.linalg._linalg.norm(x, ord=None, axis=None, keepdims=False)Matrix or vector norm.
func
numpy.linalg._linalg.outer(x1, x2)Compute the outer product of two vectors.
func
numpy.linalg._linalg.qr(a, mode='reduced')Compute the qr factorization of a matrix.
func
numpy.linalg._linalg.svd(a, full_matrices=True, compute_uv=True, hermitian=False)Singular Value Decomposition.
func
numpy.linalg._linalg.vecdot(x1, x2, *axis=-1)Computes the vector dot product.
class
numpy.linalg.lapack_lite.make_lite.FortranLibraryContainer for a bunch of Fortran routines.
method
numpy.linalg.lapack_lite.make_lite.FortranLibrary.addRoutine(rname)Add a routine to the library.
method
numpy.linalg.lapack_lite.make_lite.FortranLibrary.allRoutines()Return all the routines.
method
numpy.linalg.lapack_lite.make_lite.FortranLibrary.getRoutine(rname)Get a routine from the library.
class
numpy.linalg.lapack_lite.make_lite.FortranRoutineWrapper for a Fortran routine in a file.
class
numpy.ma.core.MAErrorClass for masked array related errors.
class
numpy.ma.core.MaskErrorClass for mask related errors.
class
numpy.ma.core.MaskedArrayAn array class with possibly masked values.
method
numpy.ma.core.MaskedArray.baseclass()Class of the underlying data (read-only).
method
numpy.ma.core.MaskedArray.imag()The imaginary part of the masked array.
method
numpy.ma.core.MaskedArray.mask()Current mask.
method
numpy.ma.core.MaskedArray.ravel(order='C')Returns a 1D version of self, as a view.
method
numpy.ma.core.MaskedArray.real()The real part of the masked array.
method
numpy.ma.core.MaskedArray.resize(newshape, refcheck=True, order=False)..
method
numpy.ma.core.MaskedArray.sharedmask()Share status of the mask (read-only).
method
numpy.ma.core.MaskedArray.shrink_mask()Reduce a mask to nomask when possible.
method
numpy.ma.core.MaskedArray.view(dtype=None, type=None, fill_value=None)Return a view of the MaskedArray data.
class
numpy.ma.core.MaskedIteratorFlat iterator object to iterate over masked arrays.
func
numpy.ma.core.append(a, b, axis=None)Append values to the end of an array.
func
numpy.ma.core.array(data, dtype=None, copy=False, order=None, mask=nomask, fill_value=None, keep_mask=True, hard_mask=False, shrink=True, subok=True, ndmin=0)Shortcut to MaskedArray.
func
numpy.ma.core.asanyarray(a, dtype=None, order=None)Convert the input to a masked array, conserving subclasses.
func
numpy.ma.core.dot(a, b, strict=False, out=None)Return the dot product of two arrays.
func
numpy.ma.core.flatten_sequence(iterable)Flattens a compound of nested iterables.
func
numpy.ma.core.flatten_structured_array(a)Flatten a structured array.
func
numpy.ma.core.fmask(x)Returns the filled array, or True if masked.
func
numpy.ma.core.get_fill_value(a)Return the filling value of a, if any.
func
numpy.ma.core.getdata(a, subok=True)Return the data of a masked array as an ndarray.
func
numpy.ma.core.getmask(a)Return the mask of a masked array, or nomask.
func
numpy.ma.core.is_mask(m)Return True if m is a valid, standard mask.
func
numpy.ma.core.is_masked(x)Determine whether input has masked values.
func
numpy.ma.core.left_shift(a, n)Shift the bits of an integer to the left.
func
numpy.ma.core.make_mask(m, copy=False, shrink=True, dtype=MaskType)Create a boolean mask from an array.
func
numpy.ma.core.masked_inside(x, v1, v2, copy=True)Mask an array inside a given interval.
func
numpy.ma.core.masked_outside(x, v1, v2, copy=True)Mask an array outside a given interval.
func
numpy.ma.core.masked_where(condition, a, copy=True)Mask an array where a condition is met.
class
numpy.ma.core.mvoidFake a 'void' object to use for masked array with structured dtypes.
method
numpy.ma.core.mvoid.tolist()Transforms the mvoid object into a tuple.
func
numpy.ma.core.ndim(obj)maskedarray version of the numpy function.
func
numpy.ma.core.outer(a, b)maskedarray version of the numpy function.
func
numpy.ma.core.right_shift(a, n)Shift the bits of an integer to the right.
func
numpy.ma.core.shape(obj)maskedarray version of the numpy function.
func
numpy.ma.core.size(obj, axis=None)maskedarray version of the numpy function.
func
numpy.ma.core.transpose(a, axes=None)Permute the dimensions of an array.
class
numpy.ma.extras.MAxisConcatenatorTranslate slice objects to concatenation along an axis.
func
numpy.ma.extras.apply_over_axes(func, a, axes)(This docstring will be overwritten)
func
numpy.ma.extras.cov(x, y=None, rowvar=True, bias=False, allow_masked=True, ddof=None)Estimate the covariance matrix.
func
numpy.ma.extras.flatten_inplace(seq)Flatten a sequence in place.
func
numpy.ma.extras.issequence(seq)Is seq a sequence (ndarray, list or tuple)?
class
numpy.ma.extras.mr_classTranslate slice objects to concatenation along the first axis.
func
numpy.ma.extras.ndenumerate(a, compressed=True)Multidimensional index iterator.
func
numpy.ma.extras.union1d(ar1, ar2)Union of two arrays.
func
numpy.ma.extras.unique(ar1, return_index=False, return_inverse=False)Finds the unique elements of an array.
func
numpy.ma.extras.vander(x, n=None)Generate a Vandermonde matrix.
func
numpy.ma.mrecords.openfile(fname)Opens the file handle of file `fname`.
func
numpy.ma.testutils.assert_equal(actual, desired, err_msg='')Asserts that two items are equal.
func
numpy.ma.testutils.assert_equal_records(a, b)Asserts that two records are equal.
func
numpy.ma.testutils.assert_mask_equal(m1, m2, err_msg='')Asserts the equality of two masks.
func
numpy.matlib.ones(shape, dtype=None, order='C')Matrix of ones.
func
numpy.matlib.repmat(a, m, n)Repeat a 0-D to 2-D array or matrix MxN times.
func
numpy.matrixlib.defmatrix.asmatrix(data, dtype=None)Interpret the input as a matrix.
class
numpy.polynomial._polybase.ABCPolyBaseAn abstract base class for immutable series classes.
method
numpy.polynomial._polybase.ABCPolyBase.copy()Return a copy.
method
numpy.polynomial._polybase.ABCPolyBase.cutdeg(deg)Truncate series to the given degree.
method
numpy.polynomial._polybase.ABCPolyBase.degree()The degree of the series.
method
numpy.polynomial._polybase.ABCPolyBase.deriv(m=1)Differentiate.
method
numpy.polynomial._polybase.ABCPolyBase.has_samecoef(other)Check if coefficients match.
method
numpy.polynomial._polybase.ABCPolyBase.has_samedomain(other)Check if domains match.
method
numpy.polynomial._polybase.ABCPolyBase.has_sametype(other)Check if types match.
method
numpy.polynomial._polybase.ABCPolyBase.has_samewindow(other)Check if windows match.
method
numpy.polynomial._polybase.ABCPolyBase.identity(domain=None, window=None, symbol='x')Identity function.
method
numpy.polynomial._polybase.ABCPolyBase.integ(m=1, k=[], lbnd=None)Integrate.
method
numpy.polynomial._polybase.ABCPolyBase.mapparms()Return the mapping parameters.
method
numpy.polynomial._polybase.ABCPolyBase.truncate(size)Truncate series to length `size`.
class
numpy.polynomial.chebyshev.ChebyshevA Chebyshev series class.
func
numpy.polynomial.chebyshev.chebadd(c1, c2)Add one Chebyshev series to another.
func
numpy.polynomial.chebyshev.chebcompanion(c)Return the scaled companion matrix of c.
func
numpy.polynomial.chebyshev.chebder(c, m=1, scl=1, axis=0)Differentiate a Chebyshev series.
func
numpy.polynomial.chebyshev.chebdiv(c1, c2)Divide one Chebyshev series by another.
func
numpy.polynomial.chebyshev.chebgauss(deg)Gauss-Chebyshev quadrature.
func
numpy.polynomial.chebyshev.chebint(c, m=1, k=[], lbnd=0, scl=1, axis=0)Integrate a Chebyshev series.
func
numpy.polynomial.chebyshev.chebmul(c1, c2)Multiply one Chebyshev series by another.
func
numpy.polynomial.chebyshev.chebmulx(c)Multiply a Chebyshev series by x.
func
numpy.polynomial.chebyshev.chebpow(c, pow, maxpower=16)Raise a Chebyshev series to a power.
func
numpy.polynomial.chebyshev.chebpts1(npts)Chebyshev points of the first kind.
func
numpy.polynomial.chebyshev.chebpts2(npts)Chebyshev points of the second kind.
func
numpy.polynomial.chebyshev.chebroots(c)Compute the roots of a Chebyshev series.
class
numpy.polynomial.hermite.HermiteA Hermite series class.
func
numpy.polynomial.hermite.herm2poly(c)Convert a Hermite series to a polynomial.
func
numpy.polynomial.hermite.hermadd(c1, c2)Add one Hermite series to another.
func
numpy.polynomial.hermite.hermcompanion(c)Return the scaled companion matrix of c.
func
numpy.polynomial.hermite.hermder(c, m=1, scl=1, axis=0)Differentiate a Hermite series.
func
numpy.polynomial.hermite.hermdiv(c1, c2)Divide one Hermite series by another.
func
numpy.polynomial.hermite.hermgauss(deg)Gauss-Hermite quadrature.
func
numpy.polynomial.hermite.hermint(c, m=1, k=[], lbnd=0, scl=1, axis=0)Integrate a Hermite series.
func
numpy.polynomial.hermite.hermmul(c1, c2)Multiply one Hermite series by another.
func
numpy.polynomial.hermite.hermmulx(c)Multiply a Hermite series by x.
func
numpy.polynomial.hermite.hermpow(c, pow, maxpower=16)Raise a Hermite series to a power.
func
numpy.polynomial.hermite.hermroots(c)Compute the roots of a Hermite series.
func
numpy.polynomial.hermite.hermsub(c1, c2)Subtract one Hermite series from another.
func
numpy.polynomial.hermite.hermval(x, c, tensor=True)Evaluate a Hermite series at points x.
func
numpy.polynomial.hermite.hermvalnd(pts, c)Evaluate an N-D Hermite series at points.
class
numpy.polynomial.hermite_e.HermiteEA HermiteE series class.
func
numpy.polynomial.hermite_e.hermeadd(c1, c2)Add one Hermite series to another.
func
numpy.polynomial.hermite_e.hermecompanion(c)Return the scaled companion matrix of c.
func
numpy.polynomial.hermite_e.hermeder(c, m=1, scl=1, axis=0)Differentiate a Hermite_e series.
func
numpy.polynomial.hermite_e.hermediv(c1, c2)Divide one Hermite series by another.
func
numpy.polynomial.hermite_e.hermegauss(deg)Gauss-HermiteE quadrature.
func
numpy.polynomial.hermite_e.hermeint(c, m=1, k=[], lbnd=0, scl=1, axis=0)Integrate a Hermite_e series.
func
numpy.polynomial.hermite_e.hermemul(c1, c2)Multiply one Hermite series by another.
func
numpy.polynomial.hermite_e.hermemulx(c)Multiply a Hermite series by x.
func
numpy.polynomial.hermite_e.hermepow(c, pow, maxpower=16)Raise a Hermite series to a power.
func
numpy.polynomial.hermite_e.hermeroots(c)Compute the roots of a HermiteE series.
func
numpy.polynomial.hermite_e.hermesub(c1, c2)Subtract one Hermite series from another.
func
numpy.polynomial.hermite_e.hermeval(x, c, tensor=True)Evaluate a HermiteE series at points x.
class
numpy.polynomial.laguerre.LaguerreA Laguerre series class.
func
numpy.polynomial.laguerre.lagadd(c1, c2)Add one Laguerre series to another.
func
numpy.polynomial.laguerre.lagcompanion(c)Return the companion matrix of c.
func
numpy.polynomial.laguerre.lagder(c, m=1, scl=1, axis=0)Differentiate a Laguerre series.
func
numpy.polynomial.laguerre.lagdiv(c1, c2)Divide one Laguerre series by another.
func
numpy.polynomial.laguerre.laggauss(deg)Gauss-Laguerre quadrature.
func
numpy.polynomial.laguerre.lagint(c, m=1, k=[], lbnd=0, scl=1, axis=0)Integrate a Laguerre series.
func
numpy.polynomial.laguerre.lagmul(c1, c2)Multiply one Laguerre series by another.
func
numpy.polynomial.laguerre.lagmulx(c)Multiply a Laguerre series by x.
func
numpy.polynomial.laguerre.lagpow(c, pow, maxpower=16)Raise a Laguerre series to a power.
func
numpy.polynomial.laguerre.lagroots(c)Compute the roots of a Laguerre series.
func
numpy.polynomial.laguerre.lagsub(c1, c2)Subtract one Laguerre series from another.
func
numpy.polynomial.laguerre.lagval(x, c, tensor=True)Evaluate a Laguerre series at points x.
class
numpy.polynomial.legendre.LegendreA Legendre series class.
func
numpy.polynomial.legendre.legadd(c1, c2)Add one Legendre series to another.
func
numpy.polynomial.legendre.legcompanion(c)Return the scaled companion matrix of c.
func
numpy.polynomial.legendre.legder(c, m=1, scl=1, axis=0)Differentiate a Legendre series.
func
numpy.polynomial.legendre.legdiv(c1, c2)Divide one Legendre series by another.
func
numpy.polynomial.legendre.leggauss(deg)Gauss-Legendre quadrature.
func
numpy.polynomial.legendre.legint(c, m=1, k=[], lbnd=0, scl=1, axis=0)Integrate a Legendre series.
func
numpy.polynomial.legendre.legmul(c1, c2)Multiply one Legendre series by another.
func
numpy.polynomial.legendre.legmulx(c)Multiply a Legendre series by x.
func
numpy.polynomial.legendre.legpow(c, pow, maxpower=16)Raise a Legendre series to a power.
func
numpy.polynomial.legendre.legroots(c)Compute the roots of a Legendre series.
func
numpy.polynomial.legendre.legsub(c1, c2)Subtract one Legendre series from another.
func
numpy.polynomial.legendre.legval(x, c, tensor=True)Evaluate a Legendre series at points x.
class
numpy.polynomial.polynomial.PolynomialA power series class.
func
numpy.polynomial.polynomial.polyadd(c1, c2)Add one polynomial to another.
func
numpy.polynomial.polynomial.polycompanion(c)Return the companion matrix of c.
func
numpy.polynomial.polynomial.polyder(c, m=1, scl=1, axis=0)Differentiate a polynomial.
func
numpy.polynomial.polynomial.polydiv(c1, c2)Divide one polynomial by another.
func
numpy.polynomial.polynomial.polyint(c, m=1, k=[], lbnd=0, scl=1, axis=0)Integrate a polynomial.
func
numpy.polynomial.polynomial.polymul(c1, c2)Multiply one polynomial by another.
func
numpy.polynomial.polynomial.polymulx(c)Multiply a polynomial by x.
func
numpy.polynomial.polynomial.polypow(c, pow, maxpower=None)Raise a polynomial to a power.
func
numpy.polynomial.polynomial.polyroots(c)Compute the roots of a polynomial.
func
numpy.polynomial.polynomial.polysub(c1, c2)Subtract one polynomial from another.
func
numpy.polynomial.polynomial.polyval(x, c, tensor=True)Evaluate a polynomial at points x.
func
numpy.polynomial.polynomial.polyvalnd(pts, c)Evaluate an N-D polynomial at points.
func
numpy.polynomial.polynomial.polyvander(x, deg)Vandermonde matrix of given degree.
func
numpy.polynomial.polyutils.as_series(alist, trim=True)Return argument as a list of 1-d arrays.
func
numpy.polynomial.polyutils.mapdomain(x, old, new)Apply linear map to input points.
func
numpy.polynomial.polyutils.mapparms(old, new)Linear map parameters between domains.
func
numpy.polynomial.polyutils.trimseq(seq)Remove small Poly series coefficients.
この情報について
掲載しているシグネチャは numpy/numpy 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。