Sparse
- class pyarts.arts.Sparse(*args, **kwargs)
A sparse version of
Matrix
Overview
Method
Read variable from file
Method
Saves variable to file
Method
Make a dense
numpy.ndarray
from the sparse matrixStatic Method
Create variable from file
Attribute
Treat as
scipy.sparse.csr_matrix
Operator
Return self==value.
Operator
Return self>=value.
Operator
__getitem__(self, arg: tuple[int, int], /) -> float
Operator
Return self>value.
Operator
Return hash(self).
Operator
Return self<=value.
Operator
Return self<value.
Operator
Return self!=value.
Operator
__setitem__(self, arg0: tuple[int, int], arg1: float, /) -> None
Constructors
- __init__(self) None
- __init__(self, arg: pyarts.arts.Sparse) None
- __init__(self, arg: scipy.sparse.csr_matrix[float], /) None
Overloaded function.
__init__(self) -> None
__init__(self, arg: pyarts.arts.Sparse) -> None
__init__(self, arg: scipy.sparse.csr_matrix[float], /) -> None
Methods
- readxml(self, file: str) None
Read variable from file
- Parameters:
file (str) – A file that can be read
- On Error:
Throws RuntimeError for any failure to read
- savexml(self, file: str, type: str = 'ascii', clobber: bool = True) None
Saves variable to file
- Parameters:
- On Error:
Throws RuntimeError for any failure to save
- toarray(self) numpy.ndarray[dtype=float64, shape=(*, *), order='F']
Make a dense
numpy.ndarray
from the sparse matrix- Returns:
arr – A dense array
- Return type:
Static Methods
- fromxml(file: str) pyarts.arts.Sparse
Create variable from file
- Parameters:
file (str) – A file that can be read
- On Error:
Throws RuntimeError for any failure to read
Attributes
- value
Treat as
scipy.sparse.csr_matrix
Operators
- __eq__(value, /)
Return self==value.
- __ge__(value, /)
Return self>=value.
- __gt__(value, /)
Return self>value.
- __hash__()
Return hash(self).
- __le__(value, /)
Return self<=value.
- __lt__(value, /)
Return self<value.
- __ne__(value, /)
Return self!=value.