MatrixDouble#

class pyopenms.MatrixDouble#

Bases: object

Cython implementation of _Matrix[double]

Original C++ documentation is available here

__init__()#

Overload:

__init__(self) → None

Overload:

__init__(self, in_0: MatrixDouble) → None

Overload:

__init__(self, rows: int, cols: int, value: float) → None

Methods

__init__

Overload:

cols(self)

fromNdArray

Creates a new Matrix from a numpy ndarray.

getValue(self, i, j)

get_matrix(self)

Returns a copy of the underlying Matrix as a 2D numpy ndarray.

get_matrix_as_view

get_matrix(self) -> np.ndarray[double, ndim=2]

resize(self, rows, cols)

rows(self)

setValue(self, i, j, value)

set_matrix(self, data[, ndim])

Copies the values from the numpy ndarray into the Matrix.

size(self)

cols(self) → int#
static fromNdArray()#

Creates a new Matrix from a numpy ndarray.

getValue(self, i: int, j: int) → float#
get_matrix(self) → np.ndarray[double, ndim=2]#

Returns a copy of the underlying Matrix as a 2D numpy ndarray.

get_matrix_as_view()#

get_matrix(self) -> np.ndarray[double, ndim=2]

Returns a view on the underlying Matrix as a 2D numpy ndarray. .. caution:

Future changes to the Matrix will affect the ndarray and vice versa.
Make sure that the Matrix does not go out of scope before the last use
of your ndarray.
resize(self, rows: int, cols: int) → None#
rows(self) → int#
setValue(self, i: int, j: int, value: float) → None#
set_matrix(self, data: np.ndarray[double, ndim=2]) → None#

Copies the values from the numpy ndarray into the Matrix.

size(self) → int#