Tensor4

class pyarts.arts.Tensor4

A 4 dimensional array of Numeric

This class is mostly compatible with numpy arrays including numpy math. The data can be accessed without copy using np.array(x, copy=False) or via x.value

Workspace methods that can generate Tensor4

particle_fieldCleanup() RT4Test() Tensor4Add() Tensor4Create()

Tensor4Multiply() Tensor4Set() Tensor4SetConstant()

Workspace methods that require Tensor4

cloudboxSetAutomatically() nlte_fieldFromRaw() particle_fieldCleanup() Tensor3ExtractFromTensor4()

Tensor4Add() Tensor4Multiply() Tensor4Set()

Workspace variables of type Tensor4

irradiance_field particle_bulkprop_field pha_mat pnd_field

ppvar_trans_cumulat ppvar_trans_partial surface_rmatrix vmr_field

__init__(*args, **kwargs)

Overloaded function.

1. __init__(self: pyarts.arts.Tensor4) -> None

Default tensor

2. __init__(self: pyarts.arts.Tensor4, ten4: List[List[List[List[Union[float, int]]]]]) -> None

From list equivalent

3. __init__(self: pyarts.arts.Tensor4, val: pyarts.arts.Tensor4) -> None

Copy instance

4. __init__(self: pyarts.arts.Tensor4, wsv: pyarts.arts.WorkspaceVariable) -> None

Automatic conversion from a workspace variable

Methods

__init__(*args, **kwargs)	Overloaded function.
flatten(self)	As for numpy.ndarray
fromxml(file)	Create Tensor4 from file
readxml(self, file)	Read Tensor4 from file
savexml(self, file[, type, clobber])	Saves Tensor4 to file

Attributes

dtype	As for numpy.ndarray
ndim	As for numpy.ndarray
shape	As for numpy.ndarray
size	As for numpy.ndarray
value	ndarray Data array