scipyΒΆ

  • str, optional
  • str, optional
  • str, optional, deprecated
  • str, optional, deprecated
  • "frozen" distribution object
  • "frozen" distribution object
  • 'C', optional
  • 'C', optional
  • 'approx' (default) or 'asymp', optional
  • 'approx' (default) or 'asymp', optional
  • 'trf' or 'bvls', optional
  • 'trf' or 'bvls', optional
  • (# of dimensions, # of points)-array
  • (# of dimensions, # of points)-array
  • (# of points,)-array
  • (# of points,)-array
  • () or (1,) or (K,) ndarray
  • () or (1,) or (K,) ndarray
  • (2,) array_like, optional
  • (2,) array_like, optional
  • (2,) tuple of boolean, optional
  • (2,) tuple of boolean, optional
  • (2,2) array_like, optional
  • (2,2) array_like, optional
  • (4,) array_like, optional
  • (4,) array_like, optional
  • (M*P, N*Q) ndarray
  • (M*P, N*Q) ndarray
  • (M, M) array_like, optional
  • (M, M) array_like, optional
  • (M,) or (M, K) array_like
  • (M,) or (M, K) array_like
  • (M,) or (M, K) ndarray
  • (M,) or (M, K) ndarray
  • (M,) or (M, N) array_like
  • (M,) or (M, N) array_like
  • (M,) or (M, N) ndarray
  • (M,) or (M, N) ndarray
  • (N, N) array_like upper triangular
  • (N, N) array_like upper triangular
  • (N,) array_like, optional
  • (N,) array_like, optional
  • (N,) or (N, K) ndarray
  • (N,) or (N, K) ndarray
  • (N-1, N-1) ndarray
  • (N-1, N-1) ndarray
  • (None, data-type, array_like), optional
  • (None, data-type, array_like), optional
  • (Npoints, Ndims) ndarray of floats
  • (Npoints, Ndims) ndarray of floats
  • (l + u + 1, M) array_like
  • (l + u + 1, M) array_like
  • (bool, bool), optional
  • (bool, bool), optional
  • (float or None, float or None)
  • (float or None, float or None)
  • (len(c), len(r)) ndarray
  • (len(c), len(r)) ndarray
  • (m+1, n+1) array
  • (m+1, n+1) array
  • (min(M, N),) ndarray
  • (min(M, N),) ndarray
  • (min(M,N),) ndarray or None
  • (min(M,N),) ndarray or None
  • (min, max), optional
  • (min, max), optional
  • (numtaps,) ndarray
  • (numtaps,) ndarray
  • (nx + 1) ndarray
  • (nx + 1) ndarray
  • (nx, ny) ndarray
  • (nx, ny) ndarray
  • (ny + 1) ndarray
  • (ny + 1) ndarray
  • (self.d, size) ndarray
  • (self.d, size) ndarray
  • (sequence of floats,ints), optional
  • (sequence of floats,ints), optional
  • (u + 1, M) ndarray
  • (u + 1, M) ndarray
  • 1-D array_like, optional
  • 1-D array_like, optional
  • 2-tuple of array_like, optional
  • 2-tuple of array_like, optional
  • 2-tuple or None
  • 2-tuple or None
  • 2-tuple, optional
  • 2-tuple, optional
  • 2D array with shape (len(y), len(x))
  • 2D array with shape (len(y), len(x))
  • 2d ndarray with shape (N*N, N*N)
  • 2d ndarray with shape (N*N, N*N)
  • An M-length sequence or an (k,M)-shaped array for functions with k predictors
  • An M-length sequence or an (k,M)-shaped array for functions with k predictors
  • An N x N matrix, array, sparse matrix, or LinearOperator representing
  • An N x N matrix, array, sparse matrix, or LinearOperator representing
  • An N x N matrix, array, sparse matrix, or linear operator representing
  • An N x N matrix, array, sparse matrix, or linear operator representing
  • AttrDict or dict
  • AttrDict or dict
  • BPoly
  • BPoly
  • BSpline object
  • BSpline object
  • ClusterNode instance, optional
  • ClusterNode instance, optional
  • ClusterNode or tuple (ClusterNode, list of ClusterNode)
  • ClusterNode or tuple (ClusterNode, list of ClusterNode)
  • Data
  • Data
  • Data class instance
  • Data class instance
  • Don't know
  • Don't know
  • ExpFormat
  • ExpFormat
  • HBInfo
  • HBInfo
  • HBInfo instance
  • HBInfo instance
  • HBInfo, optional
  • HBInfo, optional
  • HBMatrixType
  • HBMatrixType
  • If dtype is not specified, the current dtype will be preserved.
  • If dtype is not specified, the current dtype will be preserved.
  • IntFormat
  • IntFormat
  • Jacobian
  • Jacobian
  • KDTree
  • KDTree
  • KDTree instance
  • KDTree instance
  • LazyOperatorNormInfo
  • LazyOperatorNormInfo
  • LinearOperator
  • LinearOperator
  • LinearOperator or InverseJacobian
  • LinearOperator or InverseJacobian
  • MatFileReader object
  • MatFileReader object
  • Model
  • Model
  • Model class instance
  • Model class instance
  • Model instance
  • Model instance
  • NdPPoly
  • NdPPoly
  • None
  • None
  • None (deprecated), 'less', 'two-sided', or 'greater'
  • None (deprecated), 'less', 'two-sided', or 'greater'
  • None or (lower limit, upper limit), optional
  • None or (lower limit, upper limit), optional
  • None or M-length sequence or MxM array, optional
  • None or M-length sequence or MxM array, optional
  • None or np.random.RandomState instance, optional
  • None or np.random.RandomState instance, optional
  • None or np.random.RandomState object
  • None or np.random.RandomState object
  • None or array_like, optional
  • None or array_like, optional
  • None or bool, optional
  • None or bool, optional
  • None or float, optional
  • None or float, optional
  • None or int or np.random.RandomState instance, optional
  • None or int or np.random.RandomState instance, optional
  • None or int or numpy.random.RandomState instance, optional
  • None or int or numpy.random.RandomState instance, optional
  • None or int or array_like of ints. Default: None.
  • None or int or array_like of ints. Default: None.
  • None or int or np.random.RandomState instance, optional
  • None or int or np.random.RandomState instance, optional
  • None or int or tuple of int or 'mid', optional
  • None or int or tuple of int or 'mid', optional
  • None or int or tuple of ints, optional
  • None or int or tuple of ints, optional
  • None or int, optional
  • None or int, optional
  • None or ndarray or EmptyStructMarker
  • None or ndarray or EmptyStructMarker
  • None or ndarray with shape (n,), optional
  • None or ndarray with shape (n,), optional
  • None or sequence of strings, optional
  • None or sequence of strings, optional
  • None or str or sequence of str, optional
  • None or str or sequence of str, optional
  • None or str, optional
  • None or str, optional
  • None, 0, or 1
  • None, 0, or 1
  • None, float or 'auto', optional
  • None, float or 'auto', optional
  • None, optional
  • None, optional
  • None, scalar, or N-length sequence, optional
  • None, scalar, or N-length sequence, optional
  • OptimizeResult
  • OptimizeResult
  • Output
  • Output
  • Output instance
  • Output instance
  • PIL image
  • PIL image
  • PPoly
  • PPoly
  • Python class or instance
  • Python class or instance
  • Python string or unicode
  • Python string or unicode
  • RootResults (present if full_output = True)
  • RootResults (present if full_output = True)
  • Two-element sequence containing floats in range of [0,100] optional
  • Two-element sequence containing floats in range of [0,100] optional
  • UnivariateSpline
  • UnivariateSpline
  • *args, optional
  • *args, optional
  • MetaData
  • MetaData
  • TransferFunction
  • TransferFunction
  • VarHeader4 instance
  • VarHeader4 instance
  • scipy.sparse.coo_matrix
  • scipy.sparse.coo_matrix
  • self with the dimensions reversed.
  • self with the dimensions reversed.
  • self with the new dimensions of shape
  • self with the new dimensions of shape
  • a BSpline object of the degree k and with knots t.
  • a BSpline object of the degree k and with knots t.
  • a BSpline object of the degree k with knots t.
  • a BSpline object of the degree k with knots t.
  • a dense or sparse square numpy matrix or ndarray
  • a dense or sparse square numpy matrix or ndarray
  • a tuple describing the system or an instance of lti
  • a tuple describing the system or an instance of lti
  • an array of shape (N, 3)
  • an array of shape (N, 3)
  • an array of shape (N, 4, 3)
  • an array of shape (N, 4, 3)
  • an instance of the LTI class or a tuple describing the system.
  • an instance of the LTI class or a tuple describing the system.
  • an instance of the LTI class or a tuple of array_like
  • an instance of the LTI class or a tuple of array_like
  • an instance of the dlti class or a tuple describing the system.
  • an instance of the dlti class or a tuple describing the system.
  • an instance of the lti class or a tuple describing the system.
  • an instance of the lti class or a tuple describing the system.
  • aray_like
  • aray_like
  • array of floats of shape (ndim,)
  • array of floats of shape (ndim,)
  • array of floats of shape (npoints, ndim)
  • array of floats of shape (npoints, ndim)
  • array of ints, optional
  • array of ints, optional
  • array or list of arrays
  • array or list of arrays
  • array, optional
  • array, optional
  • array, shape (len(t), len(y0))
  • array, shape (len(t), len(y0))
  • array_like (1D or 2D), optional
  • array_like (1D or 2D), optional
  • array_like (1D), optional
  • array_like (1D), optional
  • array_like (cast to booleans)
  • array_like (cast to booleans)
  • array_like (cast to booleans), optional
  • array_like (cast to booleans), optional
  • array_like (n-dimensional), optional
  • array_like (n-dimensional), optional
  • array_like of floats of rank-1, optional
  • array_like of floats of rank-1, optional
  • array_like of ints of rank-1, optional
  • array_like of ints of rank-1, optional
  • array_like of ints with same shape as data.x, optional
  • array_like of ints with same shape as data.x, optional
  • array_like of shape (N + 1, N), optional
  • array_like of shape (N + 1, N), optional
  • array_like or 'jac', optional
  • array_like or 'jac', optional
  • array_like or None, optional
  • array_like or None, optional
  • array_like with shape (N, N)
  • array_like with shape (N, N)
  • array_like with shape (k,) or None, optional
  • array_like with shape (k,) or None, optional
  • array_like with shape (n, n) or None
  • array_like with shape (n, n) or None
  • array_like, 1-D, optional
  • array_like, 1-D, optional
  • array_like, last dimension self.m
  • array_like, last dimension self.m
  • array_like, n-dimensional
  • array_like, n-dimensional
  • array_like, one- or two-dimensional
  • array_like, one- or two-dimensional
  • array_like, optional (continuous distributions only).
  • array_like, optional (continuous distributions only).
  • array_like, optional (continuous RVs only)
  • array_like, optional (continuous RVs only)
  • array_like, shape (M, N)
  • array_like, shape (M, N)
  • array_like, shape (m, ...)
  • array_like, shape (m, ...)
  • array_like, shape (m1, ..., mn, ...)
  • array_like, shape (m1, ..., mn, ...)
  • array_like, shape (n + k + 1,).
  • array_like, shape (n + k + 1,).
  • array_like, shape (n, ...)
  • array_like, shape (n, ...)
  • array_like, shape (n, m)
  • array_like, shape (n, m)
  • array_like, shape (n,), optional
  • array_like, shape (n,), optional
  • array_like, shape (nt + k + 1,), optional.
  • array_like, shape (nt + k + 1,), optional.
  • array_like, shape=(n_corr, n)
  • array_like, shape=(n_corr, n)
  • array_like, sparse matrix of LinearOperator, shape (m, n)
  • array_like, sparse matrix of LinearOperator, shape (m, n)
  • bool or 'periodic', optional
  • bool or 'periodic', optional
  • bool or (bool, bool), optional
  • bool or (bool, bool), optional
  • bool or callable, optional
  • bool or callable, optional
  • bool or str, optional
  • bool or str, optional
  • bool, default False
  • bool, default False
  • bool, optional
  • bool, optional
  • boolean, optional
  • boolean, optional
  • callable
  • callable
  • callable f'(x, *args)
  • callable f'(x, *args)
  • callable f(t, y, *f_args)
  • callable f(t, y, *f_args)
  • callable f(x, *args)
  • callable f(x, *args)
  • callable fhess(x, *args), optional
  • callable fhess(x, *args), optional
  • callable fhess_p(x, p, *args), optional
  • callable fhess_p(x, p, *args), optional
  • callable fprime(x, *args), optional
  • callable fprime(x, *args), optional
  • callable func(x, *args)
  • callable func(x, *args)
  • callable func(x0, *args)
  • callable func(x0, *args)
  • callable grad(x0, *args)
  • callable grad(x0, *args)
  • callable jac(t, y, *jac_args)
  • callable jac(t, y, *jac_args)
  • callable jac(t, y, *jac_args), optional
  • callable jac(t, y, *jac_args), optional
  • callable take_step(x), optional
  • callable take_step(x), optional
  • callable f(x,*args), optional
  • callable f(x,*args), optional
  • callable dphi(alpha)
  • callable dphi(alpha)
  • callable f'(x), optional
  • callable f'(x), optional
  • callable f'(x,*args)
  • callable f'(x,*args)
  • callable f'(x,*args), optional
  • callable f'(x,*args), optional
  • callable f(V)
  • callable f(V)
  • callable f(v)
  • callable f(v)
  • callable f(x)
  • callable f(x)
  • callable f(x,*args)
  • callable f(x,*args)
  • callable f(x,*args), optional
  • callable f(x,*args), optional
  • callable fprime(x,*args), optional
  • callable fprime(x,*args), optional
  • callable func(x,*args)
  • callable func(x,*args)
  • callable or None, optional
  • callable or None, optional
  • callable phi(alpha)
  • callable phi(alpha)
  • callable(x), optional
  • callable(x), optional
  • callable(y, t0, ...)
  • callable(y, t0, ...)
  • callable, accept_test(f_new=f_new, x_new=x_new, f_old=fold, x_old=x_old), optional
  • callable, accept_test(f_new=f_new, x_new=x_new, f_old=fold, x_old=x_old), optional
  • callable, callback(x, f, accept), optional
  • callable, callback(x, f, accept), optional
  • callable, f(x, *args)
  • callable, f(x, *args)
  • callable, fprime(x, *args), optional
  • callable, fprime(x, *args), optional
  • callable, callback(xk, convergence=val), optional
  • callable, callback(xk, convergence=val), optional
  • callable, optional
  • callable, optional
  • callable, string or None, optional
  • callable, string or None, optional
  • complex-valued n-dimensional numpy array
  • complex-valued n-dimensional numpy array
  • coo_matrix or scalar
  • coo_matrix or scalar
  • csc_matrix, csr_matrix, bsr_matrix, dia_matrix or coo_matrix
  • csc_matrix, csr_matrix, bsr_matrix, dia_matrix or coo_matrix
  • csc_matrix, shape (n * m + k, n * m + k)
  • csc_matrix, shape (n * m + k, n * m + k)
  • data-type, optional
  • data-type, optional
  • diagonals to set
  • diagonals to set
  • dict of str->str
  • dict of str->str
  • dict, only returned if full_output == True
  • dict, only returned if full_output == True
  • dict, optional
  • dict, optional
  • dok_matrix
  • dok_matrix
  • double array of shape (3,)
  • double array of shape (3,)
  • double array of shape (npoints, 3)
  • double array of shape (npoints, 3)
  • double array of shape (nvertices, 3)
  • double array of shape (nvertices, 3)
  • double, optional
  • double, optional
  • dtype character code
  • dtype character code
  • dtype specifier, optional
  • dtype specifier, optional
  • dtype, optional
  • dtype, optional
  • file or str
  • file or str
  • file-object
  • file-object
  • float (>=0)
  • float (>=0)
  • float or None
  • float or None
  • float or None, optional
  • float or None, optional
  • float or int, optional
  • float or int, optional
  • float or int, or sequence of same, optional
  • float or int, or sequence of same, optional
  • float or ndarray (2-D square)
  • float or ndarray (2-D square)
  • float or one-dimensional array of floats
  • float or one-dimensional array of floats
  • float or str, optional
  • float or str, optional
  • float or str, optional.
  • float or str, optional.
  • float within [0, 1], optional
  • float within [0, 1], optional
  • float, (0: solver-determined), optional
  • float, (0: solver-determined), optional
  • float, 1 <= p <= infinity
  • float, 1 <= p <= infinity
  • float, 1<=p<=infinity, optional
  • float, 1<=p<=infinity, optional
  • float, int or None, optional
  • float, int or None, optional
  • float, optional
  • float, optional
  • float64 ndarray, optional
  • float64 ndarray, optional
  • floats, optional
  • floats, optional
  • function
  • function
  • function, optional
  • function, optional
  • function, or tuple of functions/Nones, optional
  • function, or tuple of functions/Nones, optional
  • gaussian_kde instance
  • gaussian_kde instance
  • hyperrectangle
  • hyperrectangle
  • if decomposition fails.
  • if decomposition fails.
  • if the dimensionality of the input points is different than
  • if the dimensionality of the input points is different than
  • indexable
  • indexable
  • instance of StateSpace
  • instance of StateSpace
  • instance of TransferFunction
  • instance of TransferFunction
  • instance of ZerosPolesGain
  • instance of ZerosPolesGain
  • instance with "write" method, optional
  • instance with "write" method, optional
  • int (cast to 0 or 1), optional
  • int (cast to 0 or 1), optional
  • int >= 0, < kx
  • int >= 0, < kx
  • int >= 0, < ky
  • int >= 0, < ky
  • int or None
  • int or None
  • int or None, optional
  • int or None, optional
  • int or np.random.RandomState, optional
  • int or np.random.RandomState, optional
  • int or list, optional
  • int or list, optional
  • int or ndarray, optional
  • int or ndarray, optional
  • int or sequence of scalars, optional
  • int or sequence of scalars, optional
  • int or str, optional
  • int or str, optional
  • int or tuple of ints, optional
  • int or tuple of ints, optional
  • int or tuple of two ints, optional
  • int or tuple of two ints, optional
  • int, (0: solver-determined), optional
  • int, (0: solver-determined), optional
  • int, default 1
  • int, default 1
  • int, if full_output is true
  • int, if full_output is true
  • int, iterable of int with shape (n,) or None
  • int, iterable of int with shape (n,) or None
  • int, n >= 1
  • int, n >= 1
  • int, optional
  • int, optional
  • int, sequence, 'default', optional
  • int, sequence, 'default', optional
  • int, {0, 1}
  • int, {0, 1}
  • int, {1, 2, 3, 4}, optional
  • int, {1, 2, 3, 4}, optional
  • int, {1, 2}, optional
  • int, {1, 2}, optional
  • int64 ndarray, optional
  • int64 ndarray, optional
  • integer : optional
  • integer : optional
  • integer greater than 1
  • integer greater than 1
  • integer, optional
  • integer, optional
  • iterable of numbers
  • iterable of numbers
  • label or sequence of labels, optional
  • label or sequence of labels, optional
  • lambda or function, optional
  • lambda or function, optional
  • length-2 tuple of ints
  • length-2 tuple of ints
  • linear operator
  • linear operator
  • linear operator sequence
  • linear operator sequence
  • list [tx, ty, c, kx, ky]
  • list [tx, ty, c, kx, ky]
  • list of (func_name, inarg_spec, outarg_spec, ret_spec, header_name)
  • list of (func_name, inarg_spec, outarg_spec, ret_spec, header_name)
  • list of list of integers of shape (npoints, _ )
  • list of list of integers of shape (npoints, _ )
  • list of lists
  • list of lists
  • list of ndarrays
  • list of ndarrays
  • list of str or None
  • list of str or None
  • list of str, optional
  • list of str, optional
  • list of tuples, optional
  • list of tuples, optional
  • list or None
  • list or None
  • list or array of lists
  • list or array of lists
  • list, optional
  • list, optional
  • mapping
  • mapping
  • matplotlib Axes instance, optional
  • matplotlib Axes instance, optional
  • module
  • module
  • n is a scalar
  • n is a scalar
  • ndarray (optional)
  • ndarray (optional)
  • ndarray of bool, shape (n,)
  • ndarray of bool, shape (n,)
  • ndarray of bools
  • ndarray of bools
  • ndarray of float, if full_output is true
  • ndarray of float, if full_output is true
  • ndarray of float, shape (..., ndim)
  • ndarray of float, shape (..., ndim)
  • ndarray of float, shape (M, D)
  • ndarray of float, shape (M, D)
  • ndarray of float64
  • ndarray of float64
  • ndarray of floats, shape (n, D)
  • ndarray of floats, shape (n, D)
  • ndarray of floats, shape (npoints, 3)
  • ndarray of floats, shape (npoints, 3)
  • ndarray of int, shape (n,)
  • ndarray of int, shape (n,)
  • ndarray of rank 1
  • ndarray of rank 1
  • ndarray of reals
  • ndarray of reals
  • ndarray of shape (..., ndim)
  • ndarray of shape (..., ndim)
  • ndarray or None, shape (k,)
  • ndarray or None, shape (k,)
  • ndarray or coo_matrix
  • ndarray or coo_matrix
  • ndarray or csr_matrix
  • ndarray or csr_matrix
  • ndarray or list of ndarrays
  • ndarray or list of ndarrays
  • ndarray or other linear operator
  • ndarray or other linear operator
  • ndarray or scalar
  • ndarray or scalar
  • ndarray representing a square matrix
  • ndarray representing a square matrix
  • ndarray with shape (k,) or float
  • ndarray with shape (k,) or float
  • ndarray with shape (n, k, m) or None
  • ndarray with shape (n, k, m) or None
  • ndarray with shape (n, n) or None
  • ndarray with shape (n, n) or None
  • ndarray, 2-dimensional
  • ndarray, 2-dimensional
  • ndarray, 2-dimensional, optional
  • ndarray, 2-dimensional, optional
  • ndarray, MxN or MxNx3 or MxNx4
  • ndarray, MxN or MxNx3 or MxNx4
  • ndarray, optional
  • ndarray, optional
  • ndarray, same shape as observed
  • ndarray, same shape as observed
  • ndarray, same shape as x
  • ndarray, same shape as x
  • ndarray, shape (2, 2)
  • ndarray, shape (2, 2)
  • ndarray, shape (2,)
  • ndarray, shape (2,)
  • ndarray, shape (4, n-1, ...)
  • ndarray, shape (4, n-1, ...)
  • ndarray, shape (>=n, ...)
  • ndarray, shape (>=n, ...)
  • ndarray, shape (k+1,)
  • ndarray, shape (k+1,)
  • ndarray, shape (k, m, ...)
  • ndarray, shape (k, m, ...)
  • ndarray, shape (k, n) or (n,)
  • ndarray, shape (k, n) or (n,)
  • ndarray, shape (k,)
  • ndarray, shape (k,)
  • ndarray, shape (k0, ..., kn, m0, ..., mn, ...)
  • ndarray, shape (k0, ..., kn, m0, ..., mn, ...)
  • ndarray, shape (m - 1,)
  • ndarray, shape (m - 1,)
  • ndarray, shape (m+1,)
  • ndarray, shape (m+1,)
  • ndarray, shape (m, )
  • ndarray, shape (m, )
  • ndarray, shape (m, ...)
  • ndarray, shape (m, ...)
  • ndarray, shape (m,)
  • ndarray, shape (m,)
  • ndarray, shape (m-1,)
  • ndarray, shape (m-1,)
  • ndarray, shape (n+k+1,)
  • ndarray, shape (n+k+1,)
  • ndarray, shape (n, m)
  • ndarray, shape (n, m)
  • ndarray, shape (n, n)
  • ndarray, shape (n, n)
  • ndarray, shape (n, n, m - 1)
  • ndarray, shape (n, n, m - 1)
  • ndarray, shape (n, n, m)
  • ndarray, shape (n, n, m)
  • ndarray, shape (n,)
  • ndarray, shape (n,)
  • ndarray, shape (n,), optional
  • ndarray, shape (n,), optional
  • ndarray, shape xi.shape[:-1] + values.shape[ndim:]
  • ndarray, shape xi.shape[:-1] + values.shape[ndim:]
  • ndarray, shape(k+1,)
  • ndarray, shape(k+1,)
  • ndarray, shape(nx1, nx2, nx3,...)
  • ndarray, shape(nx1, nx2, nx3,...)
  • ndarray, shape=(M, k)
  • ndarray, shape=(M, k)
  • ndarray, shape=(k, N)
  • ndarray, shape=(k, N)
  • ndarray, shape=(k,)
  • ndarray, shape=(k,)
  • ndarray, size (k, m, ...)
  • ndarray, size (k, m, ...)
  • ndarray, size (m,)
  • ndarray, size (m,)
  • ndarray, sparse matrix or LinearOperator shape (m, n)
  • ndarray, sparse matrix or LinearOperator shape (m, n)
  • ndarray, sparse matrix or LinearOperator, optional
  • ndarray, sparse matrix or LinearOperator, optional
  • ndarray, sparse matrix or LinearOperator, shape (m, n)
  • ndarray, sparse matrix or LinearOperator, shape (m, n)
  • ndim-tuple of 2-tuples float
  • ndim-tuple of 2-tuples float
  • ndim-tuple of int
  • ndim-tuple of int
  • ndim-tuple of ndarrays, shapes (mj+1,)
  • ndim-tuple of ndarrays, shapes (mj+1,)
  • netcdf_variable
  • netcdf_variable
  • non-negative integer
  • non-negative integer
  • nonnegative float, optional
  • nonnegative float, optional
  • np.matrix
  • np.matrix
  • np.matrix, optional
  • np.matrix, optional
  • np.random.RandomState instance
  • np.random.RandomState instance
  • number
  • number
  • number, optional
  • number, optional
  • numpy array
  • numpy array
  • object, optional
  • object, optional
  • optional
  • optional
  • origin, optional
  • origin, optional
  • orthopoly1d
  • orthopoly1d
  • poly1d instance
  • poly1d instance
  • positive float
  • positive float
  • positive int
  • positive int
  • positive integer
  • positive integer
  • real
  • real
  • real or complex, optional
  • real or complex, optional
  • real, optional
  • real, optional
  • record array
  • record array
  • rv_frozen instance
  • rv_frozen instance
  • scalar
  • scalar
  • scalar or 1-D ndarray
  • scalar or 1-D ndarray
  • scalar or ndarray
  • scalar or ndarray
  • scalar or ndarray of scalars
  • scalar or ndarray of scalars
  • scalar or ndarray of scalars, optional
  • scalar or ndarray of scalars, optional
  • scalar or sequence of scalars
  • scalar or sequence of scalars
  • scalar or str, optional
  • scalar or str, optional
  • scalar, optional
  • scalar, optional
  • scipy.cluster.linkage array
  • scipy.cluster.linkage array
  • sequence of int or an int, optional
  • sequence of int or an int, optional
  • sequence of matrices
  • sequence of matrices
  • sequence of ndarrays, optional
  • sequence of ndarrays, optional
  • sequence or None, optional
  • sequence or None, optional
  • sequences
  • sequences
  • sparse-matrix
  • sparse-matrix
  • str ['LM' | 'SM' | 'LA' | 'SA' | 'BE']
  • str ['LM' | 'SM' | 'LA' | 'SA' | 'BE']
  • str or None, optional
  • str or None, optional
  • str or bool, optional
  • str or bool, optional
  • str or callable
  • str or callable
  • str or callable, optional
  • str or callable, optional
  • str or dtype, optional
  • str or dtype, optional
  • str or function or False, optional
  • str or function or False, optional
  • str or function, optional
  • str or function, optional
  • str or int, optional
  • str or int, optional
  • str or stats.distributions instance, optional
  • str or stats.distributions instance, optional
  • str or stats.distributions instance.
  • str or stats.distributions instance.
  • str {'auto', 'direct', 'fft'}, optional
  • str {'auto', 'direct', 'fft'}, optional
  • str {'avg', 'first', 'last'}, optional
  • str {'avg', 'first', 'last'}, optional
  • str {'fill', 'wrap', 'symm'}, optional
  • str {'fill', 'wrap', 'symm'}, optional
  • str {'full', 'valid', 'same'}, optional
  • str {'full', 'valid', 'same'}, optional
  • str {'iir', 'fir'} or dlti instance, optional
  • str {'iir', 'fir'} or dlti instance, optional
  • str {'real','complex'}, optional
  • str {'real','complex'}, optional
  • str, ['LM' | 'SM' | 'LR' | 'SR' | 'LI' | 'SI'], optional
  • str, ['LM' | 'SM' | 'LR' | 'SR' | 'LI' | 'SI'], optional
  • str, ['LM' | 'SM'], optional
  • str, ['LM' | 'SM'], optional
  • str, array or callable
  • str, array or callable
  • str, optional
  • str, optional
  • str, scalar or callable, optional
  • str, scalar or callable, optional
  • str, unicode
  • str, unicode
  • str-like or file-like
  • str-like or file-like
  • string ['normal' | 'buckling' | 'cayley']
  • string ['normal' | 'buckling' | 'cayley']
  • string or 2-tuple, optional
  • string or 2-tuple, optional
  • string or callable, optional
  • string or callable, optional
  • string or open file handle
  • string or open file handle
  • string or tuple of string and parameter values, optional
  • string or tuple of string and parameter values, optional
  • string, if full_output is true
  • string, if full_output is true
  • string, optional
  • string, optional
  • string, {"pratt", "wilcox", "zsplit"}, optional
  • string, {"pratt", "wilcox", "zsplit"}, optional
  • string-like
  • string-like
  • structure element, optional
  • structure element, optional
  • structure, optional
  • structure, optional
  • transposable linear operator
  • transposable linear operator
  • tuple (lo, hi), optional
  • tuple (lo, hi), optional
  • tuple (lower, upper), optional
  • tuple (lower, upper), optional
  • tuple containing the discrete system
  • tuple containing the discrete system
  • tuple of (t, c, k)
  • tuple of (t, c, k)
  • tuple of (t2, c2, k2)
  • tuple of (t2, c2, k2)
  • tuple of 2 ints, optional
  • tuple of 2 ints, optional
  • tuple of array_like or instance of dlti
  • tuple of array_like or instance of dlti
  • tuple of int, optional
  • tuple of int, optional
  • tuple of ints, optional
  • tuple of ints, optional
  • tuple of ndarray of float, with shapes (m1, ), ..., (mn, )
  • tuple of ndarray of float, with shapes (m1, ), ..., (mn, )
  • tuple of ndarrays
  • tuple of ndarrays
  • tuple, optional
  • tuple, optional
  • various types
  • various types
  • { 'density', 'spectrum' }, optional
  • { 'density', 'spectrum' }, optional
  • {"del2", "iteration"}, optional
  • {"del2", "iteration"}, optional
  • {"dia", "csr", "csc", "lil", ...}, optional
  • {"dia", "csr", "csc", "lil", ...}, optional
  • {"gbt", "bilinear", "euler", "backward_diff", "zoh"}, optional
  • {"gbt", "bilinear", "euler", "backward_diff", "zoh"}, optional
  • {'1-sided', '2-sided'}
  • {'1-sided', '2-sided'}
  • {'2-point', '3-point', 'cs', callable}, optional
  • {'2-point', '3-point', 'cs', callable}, optional
  • {'3-point', '2-point'}, optional
  • {'3-point', '2-point'}, optional
  • {'5', '4'}, string, optional
  • {'5', '4'}, string, optional
  • {'<', '>'}
  • {'<', '>'}
  • {'C', 'F'}, optional
  • {'C', 'F'}, optional
  • {'a', 'v', 'i'}, optional
  • {'a', 'v', 'i'}, optional
  • {'ba', 'zpk', 'sos'}, optional
  • {'ba', 'zpk', 'sos'}, optional
  • {'bandpass', 'differentiator', 'hilbert'}, optional
  • {'bandpass', 'differentiator', 'hilbert'}, optional
  • {'bandpass', 'lowpass', 'highpass', 'bandstop'}, optional
  • {'bandpass', 'lowpass', 'highpass', 'bandstop'}, optional
  • {'bsr', 'coo', 'csc', 'csr', 'dia', 'dok', 'lil'}, optional
  • {'bsr', 'coo', 'csc', 'csr', 'dia', 'dok', 'lil'}, optional
  • {'butter', 'cheby', 'ellip'}
  • {'butter', 'cheby', 'ellip'}
  • {'chessboard', 'taxicab'}, optional
  • {'chessboard', 'taxicab'}, optional
  • {'column', 'row'}, optional
  • {'column', 'row'}, optional
  • {'direct', 'bilinear'}, optional
  • {'direct', 'bilinear'}, optional
  • {'f', 'd', 'F', 'D', None}, optional
  • {'f', 'd', 'F', 'D', None}, optional
  • {'f', 'd', 'F', 'D'}
  • {'f', 'd', 'F', 'D'}
  • {'f','d','F','D'}
  • {'f','d','F','D'}
  • {'fisher', 'stouffer'}, optional
  • {'fisher', 'stouffer'}, optional
  • {'fraction', 'lower', 'higher'}, optional
  • {'fraction', 'lower', 'higher'}, optional
  • {'full', 'r', 'economic', 'raw'}, optional
  • {'full', 'r', 'economic', 'raw'}, optional
  • {'full', 'r', 'economic'}, optional
  • {'full', 'r', 'economic'}, optional
  • {'gesdd', 'gesvd'}, optional
  • {'gesdd', 'gesvd'}, optional
  • {'left', 'right'}, optional
  • {'left', 'right'}, optional
  • {'left','right'}, optional
  • {'left','right'}, optional
  • {'lgmres', 'gmres', 'bicgstab', 'cgs', 'minres'} or function
  • {'lgmres', 'gmres', 'bicgstab', 'cgs', 'minres'} or function
  • {'linear', 'constant'}, optional
  • {'linear', 'constant'}, optional
  • {'linear', 'cubic', 'quintic'}, optional
  • {'linear', 'cubic', 'quintic'}, optional
  • {'linear', 'lower', 'higher', 'midpoint', 'nearest'}, optional
  • {'linear', 'lower', 'higher', 'midpoint', 'nearest'}, optional
  • {'linear', 'nearest', 'cubic'}, optional
  • {'linear', 'nearest', 'cubic'}, optional
  • {'linear', 'quadratic', 'logarithmic', 'hyperbolic'}, optional
  • {'linear', 'quadratic', 'logarithmic', 'hyperbolic'}, optional
  • {'lm', 'trf', 'dogbox'}, optional
  • {'lm', 'trf', 'dogbox'}, optional
  • {'lowpass', 'highpass', 'bandpass', 'bandstop'}, optional
  • {'lowpass', 'highpass', 'bandpass', 'bandstop'}, optional
  • {'max', 'min, 'avg'}, optional
  • {'max', 'min, 'avg'}, optional
  • {'mean', 'median', 'trimmed'}, optional
  • {'mean', 'median', 'trimmed'}, optional
  • {'nearest', 'keep_odd'}, optional
  • {'nearest', 'keep_odd'}, optional
  • {'norm','expon','logistic','gumbel','gumbel_l', gumbel_r',
  • {'norm','expon','logistic','gumbel','gumbel_l', gumbel_r',
  • {'phase', 'delay', 'mag'}, optional
  • {'phase', 'delay', 'mag'}, optional
  • {'propagate', 'raise', 'omit'}, optional
  • {'propagate', 'raise', 'omit'}, optional
  • {'r' or 'i'}, optional
  • {'r' or 'i'}, optional
  • {'r', 'w', 'a'}, optional
  • {'r', 'w', 'a'}, optional
  • {'r', 'w'}, optional
  • {'r', 'w'}, optional
  • {'rank', 'weak', 'strict', 'mean'}, optional
  • {'rank', 'weak', 'strict', 'mean'}, optional
  • {'real', 'complex'}, optional
  • {'real', 'complex'}, optional
  • {'reflect', 'constant', 'nearest', 'mirror', 'wrap'}, optional
  • {'reflect', 'constant', 'nearest', 'mirror', 'wrap'}, optional
  • {'reflect','constant','nearest','mirror', 'wrap'}, optional
  • {'reflect','constant','nearest','mirror', 'wrap'}, optional
  • {'row', 'column'}, optional
  • {'row', 'column'}, optional
  • {'trf', 'dogbox', 'lm'}, optional
  • {'trf', 'dogbox', 'lm'}, optional
  • {'two-sided', 'greater', 'less'}, optional
  • {'two-sided', 'greater', 'less'}, optional
  • {'two-sided', 'less', 'greater'}, optional
  • {'two-sided', 'less', 'greater'}, optional
  • {'two-sided', 'less','greater'}, optional
  • {'two-sided', 'less','greater'}, optional
  • {(0.1,0.1), tuple of float}, optional
  • {(0.1,0.1), tuple of float}, optional
  • {(True, True) tuple}, optional
  • {(True, True) tuple}, optional
  • {(True,True) tuple}, optional
  • {(True,True) tuple}, optional
  • {-2, -1, 0, 1, None} optional
  • {-2, -1, 0, 1, None} optional
  • {0, 1, 2, 'N', 'T', 'C'}, optional
  • {0, 1, 2, 'N', 'T', 'C'}, optional
  • {0, 1, 2, 3} int
  • {0, 1, 2, 3} int
  • {0, 1, 2, 3} or sequence from same set, optional
  • {0, 1, 2, 3} or sequence from same set, optional
  • {0, 1, 2, 3}, optional
  • {0, 1, 2, 3}, optional
  • {0, 1, 2}
  • {0, 1, 2}
  • {0, 1, 2} int
  • {0, 1, 2} int
  • {0, 1, 2}, optional
  • {0, 1, 2}, optional
  • {0, 1} int
  • {0, 1} int
  • {0, float}, optional
  • {0, float}, optional
  • {0, int}, optional
  • {0, int}, optional
  • {1, -1}, optional
  • {1, -1}, optional
  • {1, 0, -1}, optional
  • {1, 0, -1}, optional
  • {1, 2, 3}, optional
  • {1, 2, 3}, optional
  • {1, 2}, optional
  • {1, 2}, optional
  • {False, True}, boolean, optional
  • {False, True}, boolean, optional
  • {False, True}, optional
  • {False, True}, optional
  • {LinearOperator, Nones}
  • {LinearOperator, Nones}
  • {None, 'exact', 'lsmr'}, optional
  • {None, 'exact', 'lsmr'}, optional
  • {None, 'ortho'}, optional
  • {None, 'ortho'}, optional
  • {None, True, False}
  • {None, True, False}
  • {None, True, False}, optional
  • {None, True, False}, optional
  • {None, callable, 'lhp', 'rhp', 'iuc', 'ouc'}, optional
  • {None, callable, 'lhp', 'rhp', 'iuc', 'ouc'}, optional
  • {None, float}, optional
  • {None, float}, optional
  • {None, int, array-like}, optional
  • {None, int, array-like}, optional
  • {None, int, array_like}, optional
  • {None, int, array_like}, optional
  • {None, int}, optional
  • {None, int}, optional
  • {None, scalar}, optional
  • {None, scalar}, optional
  • {None, tuple of float}, optional
  • {None, tuple of float}, optional
  • {None, tuple}, optional
  • {None, tuple}, optional
  • {None,int}, optional
  • {None,int}, optional
  • {PyCapsule, ctypes function pointer, cffi function pointer}
  • {PyCapsule, ctypes function pointer, cffi function pointer}
  • {PyCapsule, ctypes void pointer, cffi void pointer}
  • {PyCapsule, ctypes void pointer, cffi void pointer}
  • {PyCapsule, ctypes void pointer, cffi void pointer}, optional
  • {PyCapsule, ctypes void pointer, cffi void pointer}, optional
  • {True, False} bool, optional
  • {True, False} bool, optional
  • {True, False}, optional
  • {True, False}, optional
  • {bool, 'periodic', None}, optional
  • {bool, 'periodic', None}, optional
  • {callable, 'lhp', 'rhp', 'iuc', 'ouc'}, optional
  • {callable, 'lhp', 'rhp', 'iuc', 'ouc'}, optional
  • {csr_matrix, aslinearoperator, asarray}, optional
  • {csr_matrix, aslinearoperator, asarray}, optional
  • {dense matrix, sparse matrix, LinearOperator}, optional
  • {dense matrix, sparse matrix, LinearOperator}, optional
  • {int, 2-tuple of ints, None}, optional
  • {int, 2-tuple of ints, None}, optional
  • {int, float}, optional
  • {int, float}, optional
  • {ndarray, list of ndarrays}
  • {ndarray, list of ndarrays}
  • {non-zero int, inf, -inf, 'fro'}, optional
  • {non-zero int, inf, -inf, 'fro'}, optional
  • {sparse matrix, LinearOperator}
  • {sparse matrix, LinearOperator}
  • {sparse matrix, dense matrix, LinearOperator}
  • {sparse matrix, dense matrix, LinearOperator}
  • {sparse matrix, dense matrix, LinearOperator}, optional
  • {sparse matrix, dense matrix, LinearOperator}, optional
  • {string, None}
  • {string, None}