gstools.field.Field¶

class gstools.field.Field(model, value_type='scalar', mean=None, normalizer=None, trend=None)[source]¶

Bases: object

A base class for random fields, kriging fields, etc.

Parameters

model (CovModel) – Covariance Model related to the field.
value_type (str, optional) – Value type of the field. Either “scalar” or “vector”. The default is “scalar”.
mean (None or float or callable, optional) – Mean of the field if wanted. Could also be a callable. The default is None.
normalizer (None or Normalizer, optional) – Normalizer to be applied to the field. The default is None.
trend (None or float or callable, optional) – Trend of the denormalized fields. If no normalizer is applied, this behaves equal to ‘mean’. The default is None.

Attributes

dim: int: Dimension of the field.
mean: float or callable: The mean of the field.
model: CovModel: The covariance model of the field.
name: str: The name of the class.
normalizer: Normalizer: Normalizer of the field.
trend: float or callable: The trend of the field.
value_type: str: Type of the field values (scalar, vector).

Methods

`__call__`(args, *kwargs)	Generate the field.
`mesh`(mesh[, points, direction, name])	Generate a field on a given meshio or ogs5py mesh.
`plot`([field, fig, ax])	Plot the spatial random field.
`post_field`(field[, name, process, save])	Postprocessing field values.
`pre_pos`(pos[, mesh_type])	Preprocessing positions and mesh_type.
`structured`(args, *kwargs)	Generate a field on a structured mesh.
`to_pyvista`([field_select, fieldname])	Create a VTK/PyVista grid of the stored field.
`unstructured`(args, *kwargs)	Generate a field on an unstructured mesh.
`vtk_export`(filename[, field_select, fieldname])	Export the stored field to vtk.

__call__(*args, **kwargs)[source]¶: Generate the field.

mesh(mesh, points='centroids', direction='all', name='field', **kwargs)[source]¶

Generate a field on a given meshio or ogs5py mesh.

Parameters

mesh (meshio.Mesh or ogs5py.MSH or PyVista mesh) – The given meshio, ogs5py, or PyVista mesh
points (str, optional) – The points to evaluate the field at. Either the “centroids” of the mesh cells (calculated as mean of the cell vertices) or the “points” of the given mesh. Default: “centroids”
direction (str or list, optional) – Here you can state which direction should be choosen for lower dimension. For example, if you got a 2D mesh in xz direction, you have to pass “xz”. By default, all directions are used. One can also pass a list of indices. Default: “all”
name (str or list of str, optional) – Name(s) to store the field(s) in the given mesh as point_data or cell_data. If to few names are given, digits will be appended. Default: “field”
**kwargs – Keyword arguments forwareded to Field.__call__.

Notes

This will store the field in the given mesh under the given name, if a meshio or PyVista mesh was given.

See: https://github.com/nschloe/meshio See: https://github.com/pyvista/pyvista

See: Field.__call__

plot(field='field', fig=None, ax=None, **kwargs)[source]¶

Plot the spatial random field.

Parameters

field (str, optional) – Field that should be plotted. Default: “field”
fig (Figure or None) – Figure to plot the axes on. If None, a new one will be created. Default: None
ax (Axes or None) – Axes to plot on. If None, a new one will be added to the figure. Default: None
**kwargs – Forwarded to the plotting routine.

post_field(field, name='field', process=True, save=True)[source]¶

Postprocessing field values.

Parameters

field (numpy.ndarray) – Field values.
name (str, optional) – Name. to store the field. The default is “field”.
process (bool, optional) – Whether to process field to apply mean, normalizer and trend. The default is True.
save (bool, optional) – Whether to store the field under the given name. The default is True.

Returns

field – Processed field values.

Return type

numpy.ndarray

pre_pos(pos, mesh_type='unstructured')[source]¶

Preprocessing positions and mesh_type.

Parameters

pos (iterable) – the position tuple, containing main direction and transversal directions
mesh_type (str, optional) – ‘structured’ / ‘unstructured’ Default: “unstructured”

Returns

iso_pos ((d, n), numpy.ndarray) – the isometrized position tuple
shape (tuple) – Shape of the resulting field.

structured(*args, **kwargs)[source]¶

Generate a field on a structured mesh.

See Field.__call__

to_pyvista(field_select='field', fieldname='field')[source]¶

Create a VTK/PyVista grid of the stored field.

Parameters

field_select (str, optional) – Field that should be stored. Can be: “field”, “raw_field”, “krige_field”, “err_field” or “krige_var”. Default: “field”
fieldname (str, optional) – Name of the field in the VTK file. Default: “field”

unstructured(*args, **kwargs)[source]¶

Generate a field on an unstructured mesh.

See Field.__call__

vtk_export(filename, field_select='field', fieldname='field')[source]¶

Export the stored field to vtk.

Parameters

filename (str) – Filename of the file to be saved, including the path. Note that an ending (.vtr or .vtu) will be added to the name.
field_select (str, optional) – Field that should be stored. Can be: “field”, “raw_field”, “krige_field”, “err_field” or “krige_var”. Default: “field”
fieldname (str, optional) – Name of the field in the VTK file. Default: “field”

property dim¶

Dimension of the field.

Type: int

property mean¶

The mean of the field.

Type: float or callable

property model¶

The covariance model of the field.

Type: CovModel

property name¶

The name of the class.

Type: str

property normalizer¶

Normalizer of the field.

Type: Normalizer

property trend¶

The trend of the field.

Type: float or callable

property value_type¶

Type of the field values (scalar, vector).

Type: str