PhaseMatrixDataTROSpectral4

class pyarts.arts.PhaseMatrixDataTROSpectral4(*args, **kwargs)

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	`extract_backscatter_matrix()`	extract_backscatter_matrix(self) -> scattering::BackscatterMatrixData<double, (scattering::Format)0, 4l>
Method	`extract_forwardscatter_matrix()`	extract_forwardscatter_matrix(self) -> scattering::BackscatterMatrixData<double, (scattering::Format)0, 4l>
Method	`extract_stokes_coeffs()`	extract_stokes_coeffs(self) -> pyarts.arts.PhaseMatrixDataTROSpectral3
Method	`fill()`	Wrapper for `numpy.ndarray.fill` using ARTS types.
Method	`flatten()`	Wrapper for `numpy.ndarray.flatten` using ARTS types.
Method	`get_f_grid()`	get_f_grid(self) -> pyarts.arts.Vector
Method	`get_t_grid()`	get_t_grid(self) -> pyarts.arts.Vector
Method	`integrate_phase_matrix()`	integrate_phase_matrix(self) -> pyarts.arts.Tensor3
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	`regrid()`	regrid(self, arg0: scattering::ScatteringDataGrids, arg1: scattering::RegridWeights, /) -> pyarts.arts.PhaseMatrixDataTROSpectral4
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	`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	`to_gridded()`	to_gridded(self) -> pyarts.arts.PhaseMatrixDataTROGridded4
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.
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__()`	Allows `array()` to be called with 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__()`	__getstate__(self) -> tuple[object]
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	`__setstate__()`	__setstate__(self, arg: tuple[object], /) -> None
Operator	`__truediv__()`	Allows self / value

Constructors

__init__(self) → None
__init__(self, t_grid: pyarts.arts.Vector, f_grid: pyarts.arts.Vector, sht: scattering::sht::SHT) → None

Methods

conj(self) → object

Wrapper for numpy.ndarray.conj using ARTS types.