Matrix¶

class psi4.core.Matrix¶

Bases: pybind11_builtins.pybind11_object

Class for creating and manipulating matrices

Attributes Summary

`name`	The name of the Matrix.
`np`	View without only one irrep
`nph`	View with irreps.
`shape`	Shape of the Psi4 data object

Methods Summary

`absmax`(self)	Returns the absolute maximum value
`accumulate_product`(self, arg0, arg1)	Multiplies two arguments and adds the result to this matrix
`add`(self, arg0)	Adds a matrix to this matrix
`add_and_orthogonalize_row`(self, v)	Expands the row dimension by one, and then orthogonalizes vector v against the current rows before setting the new row to the orthogonalized copy of v
`apply_denominator`(self, Matrix)	Apply matrix of denominators to this matrix
`array_interface`(self)
`axpy`(self, a, X)	Add to this matrix another matrix scaled by a
`back_transform`(args, *kwargs)	Overloaded function.
`chain_dot`(**kwargs)	Chains dot products together from a series of Psi4 Matrix classes.
`cholesky_factorize`(self)	Computes the Cholesky factorization of a real symmetric positive definite matrix
`clone`(self)	Creates exact copy of the matrix and returns it
`coldim`(self)	Returns the columns per irrep array
`cols`(self, h)	Returns the columns in irrep h
`copy`(self, arg0)	Returns a copy of the matrix
`copy_lower_to_upper`(self)	Copy the lower triangle to the upper triangle
`copy_upper_to_lower`(self)	Copy the upper triangle to the lower triangle
`diagonalize`(self, eigvectors, eigvalues, order)	Diagonalizes this matrix, space for the eigvectors and eigvalues must be created by caller.
`doublet`(A, B, transA, transB)	Returns the multiplication of two matrices A and B, with options to transpose each beforehand
`from_array`(arr[, name, dim1, dim2])	Converts a numpy array or list of numpy arrays into a Psi4 Matrix (irreped if list).
`from_list`(x)
`from_serial`(json_data)	Converts serialized data to the correct Psi4 data type
`gemm`(self, transa, transb, alpha, a, b, beta)	Generalized matrix multiplication argument transa Transpose the left matrix? argument transb Transpose the right matrix? argument alpha Prefactor for the matrix multiplication argument A Left matrix argument B Right matrix argument beta Prefactor for the resulting matrix
`general_invert`(self)	Computes the inverse of any nonsingular matrix using LU factorization
`get`(args, *kwargs)	Overloaded function.
`get_block`(self, rows, cols)	Get a matrix block
`hermitivitize`(self)	Average off-diagonal element in-place
`identity`(self)	Sets the matrix to the identity
`invert`(self)	Computes the inverse of a real symmetric positive definite matrix
`load`(args, *kwargs)	Overloaded function.
`load_mpqc`(self, filename)	Loads a matrix from an ASCII file in MPQC format
`nirrep`(self)	Returns the number of irreps
`np_read`(filename[, prefix])	Reads the data from a NumPy compress file.
`np_write`([filename, prefix])	Writes the irreped matrix to a NumPy zipped file.
`partial_cholesky_factorize`(self, delta, …)	Computes the fully pivoted partial Cholesky factorization of a real symmetric positive semidefinite matrix, to numerical precision delta
`power`(self, alpha, cutoff)	Takes the matrix to the alpha power with precision cutoff
`print_atom_vector`(self, RMRoutfile)	Print the matrix with atom labels, assuming it is an natom X 3 tensor
`print_out`(self)	Prints the matrix to the output file
`pseudoinverse`(self, condition, nremoved)	Computes the matrix which is the conditioned pseudoinverse of this matrix
`remove_symmetry`(self, a, transformer)	Remove symmetry from a matrix A with PetiteList::sotoao()
`rms`(self)	Returns the rms of this matrix
`rotate_columns`(self, h, i, j, theta)	Rotates columns i and j in irrep h by angle theta
`rowdim`(self)	Returns the rows per irrep array
`rows`(self, h)	Returns the rows in irrep h
`save`(self, filename, append, …)	Saves the matrix in ASCII format to filename, as symmetry blocks or full matrix
`scale`(self, a)	Scales the matrix by the floating point value a
`scale_column`(self, h, n, a)	Scales column n of irrep h by a
`scale_row`(self, h, m, a)	Scales row m of irrep h by a
`schmidt`(self)	Calls the libqt schmidt function
`set`(args, *kwargs)	Overloaded function.
`set_block`(self, rows, cols, block)	Set a matrix block
`subtract`(self, arg0)	Substract a matrix from this matrix
`sum_of_squares`(self)	Returns the sum of the squares of this matrix
`symmetrize_gradient`(self, mol)	Symmetrizes a gradient-like matrix (N,3) using information from a given molecule
`symmetry`(self)	Returns the overall symmetry of the matrix
`to_array`([copy, dense])	Converts a Psi4 Matrix or Vector to a numpy array.
`to_serial`()	Converts an object with a .nph accessor to a serialized dictionary
`trace`(self)	Returns the trace of the matrix
`transform`(args, *kwargs)	Overloaded function.
`transpose`(self)	Creates a new matrix that is the transpose of this matrix
`transpose_this`(self)	Transpose the matrix in-place
`triplet`(A, B, C, transA, transB, transC)	Returns the multiplication of three matrics A, B, and C, with options to transpose each beforehand
`vector_dot`(self, rhs)	Returns the vector dot product of this with rhs
`zero`(self)	Zero all elements of the matrix
`zero_diagonal`(self)	Zero the diagonal of the matrix
`zero_lower`(self)	Zero the lower triangle
`zero_upper`(self)	Zero the upper triangle

Attributes Documentation

name¶: The name of the Matrix. Used in printing.

np¶: View without only one irrep

nph¶: View with irreps.

shape¶: Shape of the Psi4 data object

Methods Documentation

absmax(self: psi4.core.Matrix) → float¶: Returns the absolute maximum value

accumulate_product(self: psi4.core.Matrix, arg0: psi4.core.Matrix, arg1: psi4.core.Matrix) → None¶: Multiplies two arguments and adds the result to this matrix

add(self: psi4.core.Matrix, arg0: psi4.core.Matrix) → None¶: Adds a matrix to this matrix

add_and_orthogonalize_row(self: psi4.core.Matrix, v: psi4.core.Vector) → bool¶: Expands the row dimension by one, and then orthogonalizes vector v against the current rows before setting the new row to the orthogonalized copy of v

apply_denominator(self: psi4.core.Matrix, Matrix: psi4.core.Matrix) → None¶: Apply matrix of denominators to this matrix

array_interface(self: psi4.core.Matrix) → list¶

axpy(self: psi4.core.Matrix, a: float, X: psi4.core.Matrix) → None¶: Add to this matrix another matrix scaled by a

back_transform(*args, **kwargs)¶

Overloaded function.

back_transform(self: psi4.core.Matrix, transformer: psi4.core.Matrix) -> None

Backtransform this with transformer

back_transform(self: psi4.core.Matrix, a: psi4.core.Matrix, transformer: psi4.core.Matrix) -> None

Backtransform A with transformer

chain_dot(**kwargs)¶

Chains dot products together from a series of Psi4 Matrix classes.

By default there is no transposes, an optional vector of booleans can be passed in.

cholesky_factorize(self: psi4.core.Matrix) → None¶: Computes the Cholesky factorization of a real symmetric positive definite matrix

clone(self: psi4.core.Matrix) → psi4.core.Matrix¶: Creates exact copy of the matrix and returns it

coldim(self: psi4.core.Matrix) → psi4.core.Dimension¶: Returns the columns per irrep array

cols(self: psi4.core.Matrix, h: int=0) → int¶: Returns the columns in irrep h

copy(self: psi4.core.Matrix, arg0: psi4.core.Matrix) → None¶: Returns a copy of the matrix

copy_lower_to_upper(self: psi4.core.Matrix) → None¶: Copy the lower triangle to the upper triangle

copy_upper_to_lower(self: psi4.core.Matrix) → None¶: Copy the upper triangle to the lower triangle

diagonalize(self: psi4.core.Matrix, eigvectors: psi4.core.Matrix, eigvalues: psi4.core.Vector, order: psi4.core.DiagonalizeOrder=DiagonalizeOrder.Ascending) → None¶: Diagonalizes this matrix, space for the eigvectors and eigvalues must be created by caller. Only for symmetric matrices.

doublet(A: psi4.core.Matrix, B: psi4.core.Matrix, transA: bool=False, transB: bool=False) → psi4.core.Matrix¶: Returns the multiplication of two matrices A and B, with options to transpose each beforehand

classmethod from_array(arr, name='New Matrix', dim1=None, dim2=None)¶

Converts a numpy array or list of numpy arrays into a Psi4 Matrix (irreped if list).

Parameters:	arr (array or list of arrays) – Numpy array or list of arrays to use as the data for a new core.Matrix name (str) – Name to give the new core.Matrix dim1 (list, tuple, or core.Dimension (optional)) – If a single dense numpy array is given, a dimension can be supplied to apply irreps to this array. Note that this discards all extra information given in the matrix besides the diagonal blocks determined by the passed dimension. dim2 – Same as dim1 only if using a psi4.core.Dimension object.
Returns:	matrix – Returns the given Psi4 object
Return type:	`Matrix` or `Vector`

Notes

This is a generalized function to convert a NumPy array to a Psi4 object

Examples

>>> data = np.random.rand(20)
>>> vector = array_to_matrix(data)

>>> irrep_data = [np.random.rand(2, 2), np.empty(shape=(0,3)), np.random.rand(4, 4)]
>>> matrix = array_to_matrix(irrep_data)
>>> print matrix.rowspi().to_tuple()
(2, 0, 4)

classmethod from_list(x)¶

classmethod from_serial(json_data)¶: Converts serialized data to the correct Psi4 data type

gemm(self: psi4.core.Matrix, transa: bool, transb: bool, alpha: float, a: psi4.core.Matrix, b: psi4.core.Matrix, beta: float) → None¶: Generalized matrix multiplication argument transa Transpose the left matrix? argument transb Transpose the right matrix? argument alpha Prefactor for the matrix multiplication argument A Left matrix argument B Right matrix argument beta Prefactor for the resulting matrix

general_invert(self: psi4.core.Matrix) → None¶: Computes the inverse of any nonsingular matrix using LU factorization

get(*args, **kwargs)¶

Overloaded function.

get(self: psi4.core.Matrix, h: int, m: int, n: int) -> float

Returns a single element of a matrix in subblock h, row m, col n

get(self: psi4.core.Matrix, m: int, n: int) -> float

Returns a single element of a matrix, row m, col n

get_block(self: psi4.core.Matrix, rows: psi4.core.Slice, cols: psi4.core.Slice) → psi4.core.Matrix¶: Get a matrix block

hermitivitize(self: psi4.core.Matrix) → None¶: Average off-diagonal element in-place

identity(self: psi4.core.Matrix) → None¶: Sets the matrix to the identity

invert(self: psi4.core.Matrix) → None¶: Computes the inverse of a real symmetric positive definite matrix

load(*args, **kwargs)¶

Overloaded function.

load(self: psi4.core.Matrix, filename: str) -> None

Loads a block matrix from an ASCII file (see tests/mints3 for format)

load(self: psi4.core.Matrix, psio: psi4.core.IO, fileno: int, tocentry: str, nso: int) -> bool

Load a matrix from a PSIO object from fileno with tocentry of size nso

load(self: psi4.core.Matrix, psio: psi4.core.IO, fileno: int, savetype: psi4.core.SaveType=SaveType.LowerTriangle) -> None

Load a matrix from a PSIO object from fileno and with toc position of the name of the matrix

load_mpqc(self: psi4.core.Matrix, filename: str) → None¶: Loads a matrix from an ASCII file in MPQC format

nirrep(self: psi4.core.Matrix) → int¶: Returns the number of irreps

classmethod np_read(filename, prefix='')¶: Reads the data from a NumPy compress file.

np_write(filename=None, prefix='')¶

Writes the irreped matrix to a NumPy zipped file.

Can return the packed data for saving many matrices into the same file.

partial_cholesky_factorize(self: psi4.core.Matrix, delta: float=0.0, throw_if_negative: bool=False) → psi4.core.Matrix¶: Computes the fully pivoted partial Cholesky factorization of a real symmetric positive semidefinite matrix, to numerical precision delta

power(self: psi4.core.Matrix, alpha: float, cutoff: float=1e-12) → psi4.core.Dimension¶: Takes the matrix to the alpha power with precision cutoff

print_atom_vector(self: psi4.core.Matrix, RMRoutfile: str='outfile') → None¶: Print the matrix with atom labels, assuming it is an natom X 3 tensor

print_out(self: psi4.core.Matrix) → None¶: Prints the matrix to the output file

pseudoinverse(self: psi4.core.Matrix, condition: float, nremoved: int) → psi4.core.Matrix¶: Computes the matrix which is the conditioned pseudoinverse of this matrix

remove_symmetry(self: psi4.core.Matrix, a: psi4.core.Matrix, transformer: psi4.core.Matrix) → None¶: Remove symmetry from a matrix A with PetiteList::sotoao()

rms(self: psi4.core.Matrix) → float¶: Returns the rms of this matrix

rotate_columns(self: psi4.core.Matrix, h: int, i: int, j: int, theta: float) → None¶: Rotates columns i and j in irrep h by angle theta

rowdim(self: psi4.core.Matrix) → psi4.core.Dimension¶: Returns the rows per irrep array

rows(self: psi4.core.Matrix, h: int=0) → int¶: Returns the rows in irrep h

save(self: psi4.core.Matrix, filename: str, append: bool=True, saveLowerTriangle: bool=True, saveSubBlocks: bool=False) → None¶: Saves the matrix in ASCII format to filename, as symmetry blocks or full matrix

scale(self: psi4.core.Matrix, a: float) → None¶: Scales the matrix by the floating point value a

scale_column(self: psi4.core.Matrix, h: int, n: int, a: float) → None¶: Scales column n of irrep h by a

scale_row(self: psi4.core.Matrix, h: int, m: int, a: float) → None¶: Scales row m of irrep h by a

schmidt(self: psi4.core.Matrix) → None¶: Calls the libqt schmidt function

set(*args, **kwargs)¶

Overloaded function.

set(self: psi4.core.Matrix, val: float) -> None

Sets every element of a matrix to val

set(self: psi4.core.Matrix, m: int, n: int, val: float) -> None

Sets a single element of a matrix to val at row m, col n

set(self: psi4.core.Matrix, h: int, m: int, n: int, val: float) -> None

Sets a single element of a matrix, subblock h, row m, col n, with value val

set_block(self: psi4.core.Matrix, rows: psi4.core.Slice, cols: psi4.core.Slice, block: psi4.core.Matrix) → None¶: Set a matrix block

subtract(self: psi4.core.Matrix, arg0: psi4.core.Matrix) → None¶: Substract a matrix from this matrix

sum_of_squares(self: psi4.core.Matrix) → float¶: Returns the sum of the squares of this matrix

symmetrize_gradient(self: psi4.core.Matrix, mol: psi::Molecule) → None¶: Symmetrizes a gradient-like matrix (N,3) using information from a given molecule

symmetry(self: psi4.core.Matrix) → int¶: Returns the overall symmetry of the matrix

to_array(copy=True, dense=False)¶

Converts a Psi4 Matrix or Vector to a numpy array. Either copies the data or simply constructs a view.

Parameters:	matrix (`Matrix` or `Vector`) – Pointers to which Psi4 core class should be used in the construction. copy (bool, optional) – Copy the data if True, return a view otherwise dense (bool, optional) – Converts irreped Psi4 objects to diagonally blocked dense arrays if True. Returns a list of arrays otherwise.
Returns:	array – Returns either a list of np.array’s or the base array depending on options.
Return type:	ndarray or list of ndarray

Notes

This is a generalized function to convert a Psi4 object to a NumPy array

Examples

>>> data = psi4.Matrix(3, 3)
>>> data.to_array()
[[ 0.  0.  0.]
 [ 0.  0.  0.]
 [ 0.  0.  0.]]

to_serial()¶: Converts an object with a .nph accessor to a serialized dictionary

trace(self: psi4.core.Matrix) → float¶: Returns the trace of the matrix

transform(*args, **kwargs)¶

Overloaded function.

transform(self: psi4.core.Matrix, transformer: psi4.core.Matrix) -> None

Transform this matrix with transformer

transform(self: psi4.core.Matrix, a: psi4.core.Matrix, transformer: psi4.core.Matrix) -> None

Transform A with transformer

transpose(self: psi4.core.Matrix) → psi4.core.Matrix¶: Creates a new matrix that is the transpose of this matrix

transpose_this(self: psi4.core.Matrix) → None¶: Transpose the matrix in-place

triplet(A: psi4.core.Matrix, B: psi4.core.Matrix, C: psi4.core.Matrix, transA: bool=False, transB: bool=False, transC: bool=False) → psi4.core.Matrix¶: Returns the multiplication of three matrics A, B, and C, with options to transpose each beforehand

vector_dot(self: psi4.core.Matrix, rhs: psi4.core.Matrix) → float¶: Returns the vector dot product of this with rhs

zero(self: psi4.core.Matrix) → None¶: Zero all elements of the matrix

zero_diagonal(self: psi4.core.Matrix) → None¶: Zero the diagonal of the matrix

zero_lower(self: psi4.core.Matrix) → None¶: Zero the lower triangle

zero_upper(self: psi4.core.Matrix) → None¶: Zero the upper triangle

absmax(self: psi4.core.Matrix) → float: Returns the absolute maximum value

accumulate_product(self: psi4.core.Matrix, arg0: psi4.core.Matrix, arg1: psi4.core.Matrix) → None: Multiplies two arguments and adds the result to this matrix

add(self: psi4.core.Matrix, arg0: psi4.core.Matrix) → None: Adds a matrix to this matrix

add_and_orthogonalize_row(self: psi4.core.Matrix, v: psi4.core.Vector) → bool: Expands the row dimension by one, and then orthogonalizes vector v against the current rows before setting the new row to the orthogonalized copy of v

apply_denominator(self: psi4.core.Matrix, Matrix: psi4.core.Matrix) → None: Apply matrix of denominators to this matrix

array_interface(self: psi4.core.Matrix) → list

axpy(self: psi4.core.Matrix, a: float, X: psi4.core.Matrix) → None: Add to this matrix another matrix scaled by a

back_transform(*args, **kwargs)

Overloaded function.

back_transform(self: psi4.core.Matrix, transformer: psi4.core.Matrix) -> None

Backtransform this with transformer

back_transform(self: psi4.core.Matrix, a: psi4.core.Matrix, transformer: psi4.core.Matrix) -> None

Backtransform A with transformer

chain_dot(**kwargs)

Chains dot products together from a series of Psi4 Matrix classes.

By default there is no transposes, an optional vector of booleans can be passed in.

cholesky_factorize(self: psi4.core.Matrix) → None: Computes the Cholesky factorization of a real symmetric positive definite matrix

clone(self: psi4.core.Matrix) → psi4.core.Matrix: Creates exact copy of the matrix and returns it

coldim(self: psi4.core.Matrix) → psi4.core.Dimension: Returns the columns per irrep array

cols(self: psi4.core.Matrix, h: int=0) → int: Returns the columns in irrep h

copy(self: psi4.core.Matrix, arg0: psi4.core.Matrix) → None: Returns a copy of the matrix

copy_lower_to_upper(self: psi4.core.Matrix) → None: Copy the lower triangle to the upper triangle

copy_upper_to_lower(self: psi4.core.Matrix) → None: Copy the upper triangle to the lower triangle

diagonalize(self: psi4.core.Matrix, eigvectors: psi4.core.Matrix, eigvalues: psi4.core.Vector, order: psi4.core.DiagonalizeOrder=DiagonalizeOrder.Ascending) → None: Diagonalizes this matrix, space for the eigvectors and eigvalues must be created by caller. Only for symmetric matrices.

doublet(A: psi4.core.Matrix, B: psi4.core.Matrix, transA: bool=False, transB: bool=False) → psi4.core.Matrix: Returns the multiplication of two matrices A and B, with options to transpose each beforehand

classmethod from_array(arr, name='New Matrix', dim1=None, dim2=None)

Converts a numpy array or list of numpy arrays into a Psi4 Matrix (irreped if list).

Parameters:	arr (array or list of arrays) – Numpy array or list of arrays to use as the data for a new core.Matrix name (str) – Name to give the new core.Matrix dim1 (list, tuple, or core.Dimension (optional)) – If a single dense numpy array is given, a dimension can be supplied to apply irreps to this array. Note that this discards all extra information given in the matrix besides the diagonal blocks determined by the passed dimension. dim2 – Same as dim1 only if using a psi4.core.Dimension object.
Returns:	matrix – Returns the given Psi4 object
Return type:	`Matrix` or `Vector`

Notes

This is a generalized function to convert a NumPy array to a Psi4 object

Examples

>>> data = np.random.rand(20)
>>> vector = array_to_matrix(data)

>>> irrep_data = [np.random.rand(2, 2), np.empty(shape=(0,3)), np.random.rand(4, 4)]
>>> matrix = array_to_matrix(irrep_data)
>>> print matrix.rowspi().to_tuple()
(2, 0, 4)

classmethod from_list(x)

classmethod from_serial(json_data): Converts serialized data to the correct Psi4 data type

gemm(self: psi4.core.Matrix, transa: bool, transb: bool, alpha: float, a: psi4.core.Matrix, b: psi4.core.Matrix, beta: float) → None: Generalized matrix multiplication argument transa Transpose the left matrix? argument transb Transpose the right matrix? argument alpha Prefactor for the matrix multiplication argument A Left matrix argument B Right matrix argument beta Prefactor for the resulting matrix

general_invert(self: psi4.core.Matrix) → None: Computes the inverse of any nonsingular matrix using LU factorization

get(*args, **kwargs)

Overloaded function.

get(self: psi4.core.Matrix, h: int, m: int, n: int) -> float

Returns a single element of a matrix in subblock h, row m, col n

get(self: psi4.core.Matrix, m: int, n: int) -> float

Returns a single element of a matrix, row m, col n

get_block(self: psi4.core.Matrix, rows: psi4.core.Slice, cols: psi4.core.Slice) → psi4.core.Matrix: Get a matrix block

hermitivitize(self: psi4.core.Matrix) → None: Average off-diagonal element in-place

identity(self: psi4.core.Matrix) → None: Sets the matrix to the identity

invert(self: psi4.core.Matrix) → None: Computes the inverse of a real symmetric positive definite matrix

load(*args, **kwargs)

Overloaded function.

load(self: psi4.core.Matrix, filename: str) -> None

Loads a block matrix from an ASCII file (see tests/mints3 for format)

load(self: psi4.core.Matrix, psio: psi4.core.IO, fileno: int, tocentry: str, nso: int) -> bool

Load a matrix from a PSIO object from fileno with tocentry of size nso

load(self: psi4.core.Matrix, psio: psi4.core.IO, fileno: int, savetype: psi4.core.SaveType=SaveType.LowerTriangle) -> None

Load a matrix from a PSIO object from fileno and with toc position of the name of the matrix

load_mpqc(self: psi4.core.Matrix, filename: str) → None: Loads a matrix from an ASCII file in MPQC format

name: The name of the Matrix. Used in printing.

nirrep(self: psi4.core.Matrix) → int: Returns the number of irreps

np: View without only one irrep

classmethod np_read(filename, prefix=''): Reads the data from a NumPy compress file.

np_write(filename=None, prefix='')

Writes the irreped matrix to a NumPy zipped file.

Can return the packed data for saving many matrices into the same file.

nph: View with irreps.

partial_cholesky_factorize(self: psi4.core.Matrix, delta: float=0.0, throw_if_negative: bool=False) → psi4.core.Matrix: Computes the fully pivoted partial Cholesky factorization of a real symmetric positive semidefinite matrix, to numerical precision delta

power(self: psi4.core.Matrix, alpha: float, cutoff: float=1e-12) → psi4.core.Dimension: Takes the matrix to the alpha power with precision cutoff

print_atom_vector(self: psi4.core.Matrix, RMRoutfile: str='outfile') → None: Print the matrix with atom labels, assuming it is an natom X 3 tensor

print_out(self: psi4.core.Matrix) → None: Prints the matrix to the output file

pseudoinverse(self: psi4.core.Matrix, condition: float, nremoved: int) → psi4.core.Matrix: Computes the matrix which is the conditioned pseudoinverse of this matrix

remove_symmetry(self: psi4.core.Matrix, a: psi4.core.Matrix, transformer: psi4.core.Matrix) → None: Remove symmetry from a matrix A with PetiteList::sotoao()

rms(self: psi4.core.Matrix) → float: Returns the rms of this matrix

rotate_columns(self: psi4.core.Matrix, h: int, i: int, j: int, theta: float) → None: Rotates columns i and j in irrep h by angle theta

rowdim(self: psi4.core.Matrix) → psi4.core.Dimension: Returns the rows per irrep array

rows(self: psi4.core.Matrix, h: int=0) → int: Returns the rows in irrep h

save(self: psi4.core.Matrix, filename: str, append: bool=True, saveLowerTriangle: bool=True, saveSubBlocks: bool=False) → None: Saves the matrix in ASCII format to filename, as symmetry blocks or full matrix

scale(self: psi4.core.Matrix, a: float) → None: Scales the matrix by the floating point value a

scale_column(self: psi4.core.Matrix, h: int, n: int, a: float) → None: Scales column n of irrep h by a

scale_row(self: psi4.core.Matrix, h: int, m: int, a: float) → None: Scales row m of irrep h by a

schmidt(self: psi4.core.Matrix) → None: Calls the libqt schmidt function

set(*args, **kwargs)

Overloaded function.

set(self: psi4.core.Matrix, val: float) -> None

Sets every element of a matrix to val

set(self: psi4.core.Matrix, m: int, n: int, val: float) -> None

Sets a single element of a matrix to val at row m, col n

set(self: psi4.core.Matrix, h: int, m: int, n: int, val: float) -> None

Sets a single element of a matrix, subblock h, row m, col n, with value val

set_block(self: psi4.core.Matrix, rows: psi4.core.Slice, cols: psi4.core.Slice, block: psi4.core.Matrix) → None: Set a matrix block

shape: Shape of the Psi4 data object

subtract(self: psi4.core.Matrix, arg0: psi4.core.Matrix) → None: Substract a matrix from this matrix

sum_of_squares(self: psi4.core.Matrix) → float: Returns the sum of the squares of this matrix

symmetrize_gradient(self: psi4.core.Matrix, mol: psi::Molecule) → None: Symmetrizes a gradient-like matrix (N,3) using information from a given molecule

symmetry(self: psi4.core.Matrix) → int: Returns the overall symmetry of the matrix

to_array(copy=True, dense=False)

Converts a Psi4 Matrix or Vector to a numpy array. Either copies the data or simply constructs a view.

Parameters:	matrix (`Matrix` or `Vector`) – Pointers to which Psi4 core class should be used in the construction. copy (bool, optional) – Copy the data if True, return a view otherwise dense (bool, optional) – Converts irreped Psi4 objects to diagonally blocked dense arrays if True. Returns a list of arrays otherwise.
Returns:	array – Returns either a list of np.array’s or the base array depending on options.
Return type:	ndarray or list of ndarray

Notes

This is a generalized function to convert a Psi4 object to a NumPy array

Examples

>>> data = psi4.Matrix(3, 3)
>>> data.to_array()
[[ 0.  0.  0.]
 [ 0.  0.  0.]
 [ 0.  0.  0.]]

to_serial(): Converts an object with a .nph accessor to a serialized dictionary

trace(self: psi4.core.Matrix) → float: Returns the trace of the matrix

transform(*args, **kwargs)

Overloaded function.

transform(self: psi4.core.Matrix, transformer: psi4.core.Matrix) -> None

Transform this matrix with transformer

transform(self: psi4.core.Matrix, a: psi4.core.Matrix, transformer: psi4.core.Matrix) -> None

Transform A with transformer

transpose(self: psi4.core.Matrix) → psi4.core.Matrix: Creates a new matrix that is the transpose of this matrix

transpose_this(self: psi4.core.Matrix) → None: Transpose the matrix in-place

triplet(A: psi4.core.Matrix, B: psi4.core.Matrix, C: psi4.core.Matrix, transA: bool=False, transB: bool=False, transC: bool=False) → psi4.core.Matrix: Returns the multiplication of three matrics A, B, and C, with options to transpose each beforehand

vector_dot(self: psi4.core.Matrix, rhs: psi4.core.Matrix) → float: Returns the vector dot product of this with rhs

zero(self: psi4.core.Matrix) → None: Zero all elements of the matrix

zero_diagonal(self: psi4.core.Matrix) → None: Zero the diagonal of the matrix

zero_lower(self: psi4.core.Matrix) → None: Zero the lower triangle

zero_upper(self: psi4.core.Matrix) → None: Zero the upper triangle