SortedGriddedField5
- class pyarts3.arts.SortedGriddedField5(*args, **kwargs)
A 5-dimensional gridof
Numeric
.The grids are 5
AscendingGrid
.Overview
Method
Method
Method
Method
Method
Method
Method
Method
Method
Method
Method
Method
Method
Check the field
Method
Method
Method
Read variable from file
Method
Method
Method
Method
Saves variable to file
Method
Method
Method
Method
Convert object to
dict
.Method
Create
xarray.DataArray
from the object.Method
Method
Method
Method
Static Method
Create object from
dict
.Static Method
Create object from
xarray.DataArray
.Static Method
Create variable from file
Attribute
See
numpy.ndarray.T
.Attribute
The data itself
Attribute
Name of the data
Attribute
See
numpy.ndarray.dtype
.Attribute
The grid names
Attribute
The grid of the data
Attribute
See
numpy.ndarray.imag
.Attribute
Attribute
See
numpy.ndarray.nbytes
.Attribute
See
numpy.ndarray.ndim
.Attribute
See
numpy.ndarray.real
.Attribute
See
numpy.ndarray.shape
.Attribute
See
numpy.ndarray.size
.Attribute
Attribute
A
ndarray
of the object.Static Data
pyarts3.arts.SortedGriddedField5.dim
5 (
int
)Operator
Operator
Operator
Operator
Allows
array()
to be called with the object.Operator
Operator
Operator
Overloaded function.
Operator
Operator
__format__(self, arg: str, /) -> str
Operator
Operator
Operator
Helper for pickle.
Operator
Operator
Return hash(self).
Operator
Operator
Operator
Operator
See
numpy.ndarray.__imatmul__
Operator
Operator
Operator
__init__(self, arg: pyarts3.arts.GriddedField5, /) -> None
Operator
Operator
Operator
Operator
See
numpy.ndarray.__iter__
Operator
Operator
Operator
Operator
Operator
Operator
Operator
Operator
Overloaded function.
Operator
Operator
Operator
See
numpy.ndarray.__radd__
Operator
See
numpy.ndarray.__rand__
Operator
See
numpy.ndarray.__rdivmod__
Operator
__repr__(self) -> str
Operator
See
numpy.ndarray.__rfloordiv__
Operator
See
numpy.ndarray.__rmatmul__
Operator
See
numpy.ndarray.__rmod__
Operator
See
numpy.ndarray.__rmul__
Operator
See
numpy.ndarray.__ror__
Operator
See
numpy.ndarray.__rpow__
Operator
See
numpy.ndarray.__rsub__
Operator
See
numpy.ndarray.__rtruediv__
Operator
Operator
__str__(self) -> str
Operator
Constructors
- __init__(self) None
- __init__(self, name: str = '', data: pyarts3.arts.Tensor5, grid_names: collections.abc.Sequence[str] = ['', '', '', '', ''], grids: collections.abc.Sequence[pyarts3.arts.AscendingGrid]) None
- __init__(self, arg: dict, /) None
- __init__(self) None
- __init__(self, arg: pyarts3.arts.SortedGriddedField5) None
- __init__(self, arg: pyarts3.arts.GriddedField5, /) None
Methods
- cumprod(self, axis: object | None = None, dtype: object | None = None, out: object | None = None) object
- cumsum(self, axis: object | None = None, dtype: object | None = None, out: object | None = None) object
- mean(self, axis: object | None = None, dtype: object | None = None, out: object | None = None, keepdims: object = False) object
- prod(self, axis: object | None = None, dtype: object | None = None, out: object | None = None, keepdims: object = False) object
- readxml(self, file: str) str
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) str
Saves variable to file
- Parameters:
- On Error:
Throws RuntimeError for any failure to save
- std(self, axis: object | None = None, dtype: object | None = None, out: object | None = None, ddof: object = 0, keepdims: object = False) object
- sum(self, axis: object | None = None, dtype: object | None = None, out: object | None = None, keepdims: object = False) object
- to_xarray(self) object
Create
xarray.DataArray
from the object.
- trace(self, offset: object = 0, axis1: object = 0, axis2: object = 1, dtype: object | None = None, out: object | None = None) object
- var(self, axis: object | None = None, dtype: object | None = None, out: object | None = None, ddof: object = 0, keepdims: object = False) object
Static Methods
- from_dict(arg: dict, /) pyarts3.arts.SortedGriddedField5
Create object from
dict
.
- from_xarray(arg: object, /) object
Create object from
xarray.DataArray
.
- fromxml(file: str) pyarts3.arts.SortedGriddedField5
Create variable from file
- Parameters:
file (str) – A file that can be read
- On Error:
Throws RuntimeError for any failure to read
Attributes
- T: object
See
numpy.ndarray.T
.
- dtype: object
See
numpy.ndarray.dtype
.
- imag: object
See
numpy.ndarray.imag
.
- nbytes: object
See
numpy.ndarray.nbytes
.
- ndim: object
See
numpy.ndarray.ndim
.
- real: object
See
numpy.ndarray.real
.
- shape: object
See
numpy.ndarray.shape
.
- size: object
See
numpy.ndarray.size
.
- value: numpy.ndarray
A
ndarray
of the object.
Operators
- __array__(self, dtype: object | None = None, copy: object | None = None) object
Allows
array()
to be called with the object.
- __eq__(self, value: pyarts3.arts.SortedGriddedField5) bool
- __eq__(self, value: object) object
Overloaded function.
__eq__(self, value: pyarts3.arts.SortedGriddedField5) -> bool
Allows self == value
__eq__(self, value: object) -> object
- __getstate__()
Helper for pickle.
- __hash__()
Return hash(self).
- __init__(self) None
- __init__(self, name: str = '', data: pyarts3.arts.Tensor5, grid_names: collections.abc.Sequence[str] = ['', '', '', '', ''], grids: collections.abc.Sequence[pyarts3.arts.AscendingGrid]) None
- __init__(self, arg: dict, /) None
- __init__(self) None
- __init__(self, arg: pyarts3.arts.SortedGriddedField5) None
- __init__(self, arg: pyarts3.arts.GriddedField5, /) None
- __ne__(self, value: pyarts3.arts.SortedGriddedField5) bool
- __ne__(self, value: object) object
Overloaded function.
__ne__(self, value: pyarts3.arts.SortedGriddedField5) -> bool
Allows self != value
__ne__(self, value: object) -> object