Stokvec

class pyarts.arts.Stokvec(*args, **kwargs)

A single Stokes vector (of length 4).

Workspace methods that require Stokvec

measurement_sensorAddSimple() measurement_sensorAddSimpleGaussian() measurement_sensorAddVectorGaussian()

measurement_sensorSimple() measurement_sensorSimpleGaussian() measurement_sensorVectorGaussian()

Overview

Method	conj()	Wrapper for numpy.ndarray.conj using ARTS types.
Method	conjugate()	Wrapper for numpy.ndarray.conjugate using ARTS types.
Method	copy()	Wrapper for numpy.ndarray.copy using ARTS types.
Method	cumprod()	Wrapper for numpy.ndarray.cumprod using ARTS types.
Method	cumsum()	Wrapper for numpy.ndarray.cumsum using ARTS types.
Method	diagonal()	Wrapper for numpy.ndarray.diagonal using ARTS types.
Method	fill()	Wrapper for numpy.ndarray.fill using ARTS types.
Method	flatten()	Wrapper for numpy.ndarray.flatten using ARTS types.
Method	max()	Wrapper for numpy.ndarray.max using ARTS types.
Method	mean()	Wrapper for numpy.ndarray.mean using ARTS types.
Method	min()	Wrapper for numpy.ndarray.min using ARTS types.
Method	nonzero()	Wrapper for numpy.ndarray.nonzero using ARTS types.
Method	prod()	Wrapper for numpy.ndarray.prod using ARTS types.
Method	ravel()	Wrapper for numpy.ndarray.ravel using ARTS types.
Method	readxml()	Read variable from file
Method	repeat()	Wrapper for numpy.ndarray.repeat using ARTS types.
Method	reshape()	Wrapper for numpy.ndarray.reshape using ARTS types.
Method	round()	Wrapper for numpy.ndarray.round using ARTS types.
Method	savexml()	Saves variable to file
Method	squeeze()	Wrapper for numpy.ndarray.squeeze using ARTS types.
Method	std()	Wrapper for numpy.ndarray.std using ARTS types.
Method	sum()	Wrapper for numpy.ndarray.sum using ARTS types.
Method	tolist()	Wrapper for numpy.ndarray.tolist using ARTS types.
Method	trace()	Wrapper for numpy.ndarray.trace using ARTS types.
Method	transpose()	Wrapper for numpy.ndarray.transpose using ARTS types.
Method	var()	Wrapper for numpy.ndarray.var using ARTS types.
Static Method	cirpol()	Returns [1.0, 0.0, 0.0, sin(angle)], the circular polarization vector for a given phase delay angle
Static Method	fromxml()	Create variable from file
Static Method	linpol()	Returns [1.0, cos(2*angle), sin(2*angle), 0.0], the linear polarization vector for a given angle
Attribute	T	Wrapper for numpy.ndarray.T using ARTS types.
Attribute	dtype	Wrapper for numpy.ndarray.dtype using ARTS types.
Attribute	imag	Wrapper for numpy.ndarray.imag using ARTS types.
Attribute	itemsize	Wrapper for numpy.ndarray.itemsize using ARTS types.
Attribute	nbytes	Wrapper for numpy.ndarray.nbytes using ARTS types.
Attribute	ndim	Wrapper for numpy.ndarray.ndim using ARTS types.
Attribute	real	Wrapper for numpy.ndarray.real using ARTS types.
Attribute	shape	Wrapper for numpy.ndarray.shape using ARTS types.
Attribute	size	Wrapper for numpy.ndarray.size using ARTS types.
Attribute	strides	Wrapper for numpy.ndarray.strides using ARTS types.
Attribute	value	A ndarray of the object.
Operator	__abs__()	Allows abs(self)
Operator	__add__()	Allows self + value
Operator	__and__()	Allows self and value
Operator	__array__()	Returns a ndarray of the object.
Operator	__contains__()	Allows key in self
Operator	__divmod__()	Allows divmod(self, value)
Operator	__eq__()	Allows self == value
Operator	__floordiv__()	Allows self // value
Operator	__ge__()	Allows self >= value
Operator	__getitem__()	Allows self[key]
Operator	__getstate__()	Helper for pickle.
Operator	__gt__()	Allows self > value
Operator	__hash__()	Return hash(self).
Operator	__iadd__()	Allows self += value
Operator	__iand__()	Allows self &= value
Operator	__ifloordiv__()	Allows self //= value
Operator	__imatmul__()	Allows self @= value
Operator	__imod__()	Allows self %= value
Operator	__imul__()	Allows self *= value
Operator	__ior__()	Allows self |= value
Operator	__ipow__()	Allows self **= value
Operator	__isub__()	Allows self -= value
Operator	__iter__()	Allows iter(self)
Operator	__itruediv__()	Allows self /= value
Operator	__le__()	Allows self <= value
Operator	__len__()	Allows len(self)
Operator	__lt__()	Allows self < value
Operator	__matmul__()	Allows self @ value
Operator	__mod__()	Allows self % value
Operator	__mul__()	Allows self * value
Operator	__ne__()	Allows self != value
Operator	__or__()	Allows self | value
Operator	__pow__()	Allows self ** value
Operator	__radd__()	Allows value + self
Operator	__rand__()	Allows value & self
Operator	__rdivmod__()	Allows value / self
Operator	__rfloordiv__()	Allows value // self
Operator	__rmatmul__()	Allows value @ self
Operator	__rmod__()	Allows value % self
Operator	__rmul__()	Allows value * self
Operator	__ror__()	Allows value | self
Operator	__rpow__()	Allows value ** self
Operator	__rsub__()	Allows value - self
Operator	__rtruediv__()	Allows value / self
Operator	__setitem__()	Allows self[key] = value
Operator	__truediv__()	Allows self / value

Constructors

__init__(self, arg: float, /) → None

__init__(self, arg: pyarts.arts.PolarizationChoice, /) → None

__init__(self, arg: str, /) → None

__init__(self, arg: collections.abc.Sequence[float], /) → None

__init__(self) → None

__init__(self, arg: pyarts.arts.Stokvec) → None

Methods

conj(self) → object

Wrapper for numpy.ndarray.conj using ARTS types.

Use the original for greater control and more functionality.

conjugate(self) → object

Wrapper for numpy.ndarray.conjugate using ARTS types.

Use the original for greater control and more functionality.

copy(self, order: str = 'C') → object

Wrapper for numpy.ndarray.copy using ARTS types.

Use the original for greater control and more functionality.

cumprod(self, axis: object | None = None, dtype: object | None = None, out: object | None = None) → object

Wrapper for numpy.ndarray.cumprod using ARTS types.

Use the original for greater control and more functionality.

cumsum(self, axis: object | None = None, dtype: object | None = None, out: object | None = None) → object

Wrapper for numpy.ndarray.cumsum using ARTS types.

Use the original for greater control and more functionality.

diagonal(self, offset: object = 0, axis1: object = 0, axis2: object = 1) → object

Wrapper for numpy.ndarray.diagonal using ARTS types.

Use the original for greater control and more functionality.

fill(self, value: object) → object

Wrapper for numpy.ndarray.fill using ARTS types.

Use the original for greater control and more functionality.

flatten(self, order: str = 'C') → object

Wrapper for numpy.ndarray.flatten using ARTS types.

Use the original for greater control and more functionality.

max(self, axis: object | None = None, out: object | None = None, keepdims: object = False) → object

Wrapper for numpy.ndarray.max using ARTS types.

Use the original for greater control and more functionality.

mean(self, axis: object | None = None, dtype: object | None = None, out: object | None = None, keepdims: object = False) → object

Wrapper for numpy.ndarray.mean using ARTS types.

Use the original for greater control and more functionality.

min(self, axis: object | None = None, out: object | None = None, keepdims: object = False) → object

Wrapper for numpy.ndarray.min using ARTS types.

Use the original for greater control and more functionality.

nonzero(self) → object

Wrapper for numpy.ndarray.nonzero using ARTS types.

Use the original for greater control and more functionality.

prod(self, axis: object | None = None, dtype: object | None = None, out: object | None = None, keepdims: object = False) → object

Wrapper for numpy.ndarray.prod using ARTS types.

Use the original for greater control and more functionality.

ravel(self, order: list) → object

Wrapper for numpy.ndarray.ravel using ARTS types.

Use the original for greater control and more functionality.

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

repeat(self, repeats: object, axis: object | None = None) → object

Wrapper for numpy.ndarray.repeat using ARTS types.

Use the original for greater control and more functionality.

reshape(self, shape: object, order: object = 'C') → object

Wrapper for numpy.ndarray.reshape using ARTS types.

Use the original for greater control and more functionality.

round(self, decimals: object = 0, out: object | None = None) → object

Wrapper for numpy.ndarray.round using ARTS types.

Use the original for greater control and more functionality.

savexml(self, file: str, type: str = 'ascii', clobber: bool = True) → None

Saves variable to file

Parameters:

• file (str) – The path to which the file is written. Note that several of the options might modify the name or write more files

• type (str) – Type of file to save. See FileType for options.

• clobber (bool) – Overwrite existing files or add new file with modified name?

On Error:

Throws RuntimeError for any failure to save

squeeze(self, axis: object | None = None) → object

Wrapper for numpy.ndarray.squeeze using ARTS types.

Use the original for greater control and more functionality.

std(self, axis: object | None = None, dtype: object | None = None, out: object | None = None, ddof: object = 0, keepdims: object = False) → object

Wrapper for numpy.ndarray.std using ARTS types.

Use the original for greater control and more functionality.

sum(self, axis: object | None = None, dtype: object | None = None, out: object | None = None, keepdims: object = False) → object

Wrapper for numpy.ndarray.sum using ARTS types.

Use the original for greater control and more functionality.

tolist(self) → object

Wrapper for numpy.ndarray.tolist using ARTS types.

Use the original for greater control and more functionality.

trace(self, offset: object = 0, axis1: object = 0, axis2: object = 1, dtype: object | None = None, out: object | None = None) → object

Wrapper for numpy.ndarray.trace using ARTS types.

Use the original for greater control and more functionality.

transpose(self, axes: list | None = None) → object

Wrapper for numpy.ndarray.transpose using ARTS types.

Use the original for greater control and more functionality.

var(self, axis: object | None = None, dtype: object | None = None, out: object | None = None, ddof: object = 0, keepdims: object = False) → object

Wrapper for numpy.ndarray.var using ARTS types.

Use the original for greater control and more functionality.

Static Methods

cirpol(angle: float) → pyarts.arts.Stokvec

Returns [1.0, 0.0, 0.0, sin(angle)], the circular polarization vector for a given phase delay angle

fromxml(file: str) → pyarts.arts.Stokvec

Create variable from file

Parameters:

file (str) – A file that can be read

On Error:

Throws RuntimeError for any failure to read

linpol(angle: float) → pyarts.arts.Stokvec

Returns [1.0, cos(2*angle), sin(2*angle), 0.0], the linear polarization vector for a given angle

Attributes

T

Wrapper for numpy.ndarray.T using ARTS types.

Use the original for greater control and more functionality.

dtype

Wrapper for numpy.ndarray.dtype using ARTS types.

Use the original for greater control and more functionality.

imag

Wrapper for numpy.ndarray.imag using ARTS types.

Use the original for greater control and more functionality.

itemsize

Wrapper for numpy.ndarray.itemsize using ARTS types.

Use the original for greater control and more functionality.

nbytes

Wrapper for numpy.ndarray.nbytes using ARTS types.

Use the original for greater control and more functionality.

ndim

Wrapper for numpy.ndarray.ndim using ARTS types.

Use the original for greater control and more functionality.

real

Wrapper for numpy.ndarray.real using ARTS types.

Use the original for greater control and more functionality.

shape

Wrapper for numpy.ndarray.shape using ARTS types.

Use the original for greater control and more functionality.

size

Wrapper for numpy.ndarray.size using ARTS types.

Use the original for greater control and more functionality.

strides

Wrapper for numpy.ndarray.strides using ARTS types.

Use the original for greater control and more functionality.

value

A ndarray of the object.

Operators

__abs__(self) → object

Allows abs(self)

__add__(self, value: object) → object

Allows self + value

__and__(self, value: object) → object

Allows self and value

__array__(self, dtype: object | None = None, copy: object | None = None) → object

Returns a ndarray of the object.

__contains__(self, key: object) → object

Allows key in self

__divmod__(self, value: object) → object

Allows divmod(self, value)

__eq__(self, value: object) → object

Allows self == value

__floordiv__(self, value: object) → object

Allows self // value

__ge__(self, value: object) → object

Allows self >= value

__getitem__(self, key: object) → object

Allows self[key]

__getstate__()

Helper for pickle.

__gt__(self, value: object) → object

Allows self > value

__hash__()

Return hash(self).

__iadd__(self, value: object) → object

Allows self += value

__iand__(self, value: object) → object

Allows self &= value

__ifloordiv__(self, value: object) → object

Allows self //= value

__imatmul__(self, value: object) → object

Allows self @= value

__imod__(self, value: object) → object

Allows self %= value

__imul__(self, value: object) → object

Allows self *= value

__ior__(self, value: object) → object

Allows self |= value

__ipow__(self, value: object) → object

Allows self **= value

__isub__(self, value: object) → object

Allows self -= value

__iter__(self) → object

Allows iter(self)

__itruediv__(self, value: object) → object

Allows self /= value

__le__(self, value: object) → object

Allows self <= value

__len__(self) → object

Allows len(self)

__lt__(self, value: object) → object

Allows self < value

__matmul__(self, value: object) → object

Allows self @ value

__mod__(self, value: object) → object

Allows self % value

__mul__(self, value: object) → object

Allows self * value

__ne__(self, value: object) → object

Allows self != value

__or__(self, value: object) → object

Allows self | value

__pow__(self, value: object, mod: object | None = None) → object

Allows self ** value

__radd__(self, value: object) → object

Allows value + self

__rand__(self, value: object) → object

Allows value & self

__rdivmod__(self, value: object) → object

Allows value / self

__rfloordiv__(self, value: object) → object

Allows value // self

__rmatmul__(self, value: object) → object

Allows value @ self

__rmod__(self, value: object) → object

Allows value % self

__rmul__(self, value: object) → object

Allows value * self

__ror__(self, value: object) → object

Allows value | self

__rpow__(self, value: object, mod: object | None = None) → object

Allows value ** self

__rsub__(self, value: object) → object

Allows value - self

__rtruediv__(self, value: object) → object

Allows value / self

__setitem__(self, key: object, value: object) → object

Allows self[key] = value

__truediv__(self, value: object) → object

Allows self / value