TensorField

class fridom.framework.tensor_field.TensorField(mset: fr.ModelSettingsBase)

Bases: FieldBase

__init__(mset: fr.ModelSettingsBase) → None

Methods

__init__(mset)
abs()	Map the field by taking the absolute value (\(|f|\)).
apply_water_mask()	Apply a water mask to the field.
conj()	Compute the complex conjugate.
cumulative_integral(axis[, direction])	Compute the cumulative integral along an axis.
diff(axis[, order])	Compute the partial derivative along an axis.
div()	Compute the divergence.
dot(other)	Compute the dot product with another field.
extend(topo)	Extend the field in the specified directions.
fft([padding])	Perform a Fast Fourier Transform (FFT) on the field.
from_netcdf(mset, path)	Create a field from a NetCDF file.
from_xarray(mset, ds)	Create a field from an xarray object.
grad([axes])	Compute the gradient.
has_nan()	Check if the field contains NaN values.
ifft([padding])	Perform an Inverse Fast Fourier Transform (IFFT) on the field.
integrate([axes])	Global integral of the Field in specified axes.
laplacian([axes])	Compute the Laplacian.
max([axes])	Maximum value of the Field over the whole domain.
mean([axes])	Global mean of the Field in specified axes.
min([axes])	Minimum value of the Field over the whole domain.
norm_l2()	Calculate the L2 norm of the field.
set_random([seed])	Set the field to random values.
sum([axes])	Sum of the Field over the whole domain in the specified axes.
sync()	Synchronize the field across all MPI ranks and apply boundary conditions.
to_netcdf(path)	Save the field to a NetCDF file.

Attributes

grid	The grid object.
info	Dictionary with information about the field.
is_constant	Flag indicating whether the field is constant.
is_spectral	Flag indicating whether the field is in spectral space.
mset	The model settings.
xr	The xarray representation of the field.
xrs	Convert a slice of the field to an xarray object.