pyuff_ustb.objects.Probe#
- class pyuff_ustb.objects.Probe(_reader: Reader | str | None = None, **kwargs)[source]#
Bases:
UffUffclass to define arbitrary probe geometries.Probecontains the position and attitude of all elements of a probe. OptionallyProbecan hold each element width and height, assuming the elements were rectangular. Information is stored in a single matrix form called geometry, one row per element containing:[x, y, z, azimuth, elevation, width, height].- Original authors:
Alfonso Rodriguez-Molares (alfonsom@ntnu.no)
Methods
__init__([_reader])copy()Return a (deep) copy of the Uff object.
read(name)Read an Uff object from the file.
write(filepath, location[, overwrite, ...])Write the Uff to a file.
Attributes
Number of elements
Contact of the authors
An array with attitude of rectangular elements.
Element height [m]
Other information
Name of the dataset
Location of the probe respect to origin of coordinates
Orientation of the element in the elevation direction [rad]
Distance from the element center to the origin of coordinates [m]
Reference to the publication where it was used/acquired
Orientation of the element in the azimuth direction [rad]
Version of the dataset
Element width [m]
Center of the element in the x axis [m]
Center of the element as an array of shape (n_elements, 3) [m]
Center of the element in the y axis [m]
Center of the element in the z axis [m]
- property geometry: ndarray#
An array with attitude of rectangular elements.
The returned array contains 7 fields (over all elements):
x [meters]
y [meters]
z [meters]
theta [radians]
phi [radians]
width [meters]
height [meters]
- Returns:
An array with attitude of rectangular elements with shape
(7, n_elements).- Return type:
np.ndarray
- property N_elements: int#
Number of elements
- property x: ndarray#
Center of the element in the x axis [m]
- property y: ndarray#
Center of the element in the y axis [m]
- property z: ndarray#
Center of the element in the z axis [m]
- property xyz: ndarray#
Center of the element as an array of shape (n_elements, 3) [m]
- property theta: ndarray#
Orientation of the element in the azimuth direction [rad]
- property phi: ndarray#
Orientation of the element in the elevation direction [rad]
- property width: ndarray#
Element width [m]
- property author: str | None#
Contact of the authors
- copy() Uff#
Return a (deep) copy of the Uff object.
In addition to the
_reader, all compulsory and optional fields are copied (deeply) iff they are loaded/cached. This means that if a field has not been read from the file, it will not be copied. This is to avoid unintended eager loading of data.See
Uff.__deepcopy__()for implementation details.- Returns:
A deep copy of this object.
- Return type:
- property height: ndarray#
Element height [m]
- property info: str | None#
Other information
- property name: str | None#
Name of the dataset
- read(name: str) Uff#
Read an Uff object from the file. A Reader must be provided in order to read.
>> uff = Uff(“/path/to/some/file.uff”) >> scan = uff.read(“scan”)
- property reference: str | None#
Reference to the publication where it was used/acquired
- property version: str | None#
Version of the dataset
- write(filepath: str, location: str | Tuple[str, ...] | List[str], overwrite: bool = False, ignore_missing_compulsory_fields: bool = False)#
Write the Uff to a file.
- Parameters:
filepath (Union[str, h5py.File]) – The filepath (or
h5py.File) to write to.location (Union[str, Tuple[str, ...], List[str]]) – The location in the h5 file to write to. Can be a tuple/list of strings representing a path into the h5 file, or a string with the path separated by slashes.
overwrite (bool) – Whether to overwrite the location if it already exists. If the location already exists and
overwrite=False, aValueErroris raised.overwrite=Falseby default.ignore_missing_compulsory_fields (bool) – Whether to ignore missing compulsory fields. If a compulsory field is not set then usually a
ValueErroris raised. Settingignore_missing_compulsory_fields=Truewill ignore this error and write the object anyway.ignore_missing_compulsory_fields=Falseby default.
Examples
We can write an object to a file like this:
>>> import pyuff_ustb as pyuff >>> point = pyuff.Point(distance=0.0, azimuth=0.0, elevation=0.0) >>> point.write("my_point.uff", "point")
If we try to write an object to the same location, we get an error:
>>> point.write("my_point.uff", "point") Traceback (most recent call last): ... ValueError: Location 'point' already exists in the file 'my_point.uff'. Use overwrite=True to overwrite it.
We can choose to overwrite the location by passing
overwrite=True:>>> point.write("my_point.uff", "point", overwrite=True)
We can also write the object to another arbitrary location if we want:
>>> point.write("my_point.uff", "sub_directory/point")
Compulsory fields may not be None when writing an object to an UFF file (unless
ignore_missing_compulsory_fields=True).>>> point.distance = None >>> point.write("my_point.uff", "point2") Traceback (most recent call last): ... ValueError: The compulsory field 'distance' is set to None. Compulsory fields may not be None when writing an object to an UFF file. To ignore this error and write the object anyway, set ignore_missing_compulsory_fields=True.
Note that even though the previous step failed, the file was still partially written to (we don’t rollback changes when writing fails), so we will have to pass
overwrite=Trueto write the object again.>>> point.write( ... "my_point.uff", ... "point2", ... overwrite=True, ... ignore_missing_compulsory_fields=True, ... )
After running these steps, the file will contain the following fields:
>>> uff = pyuff.Uff("my_point.uff") >>> uff Uff(point=Point(<...>), point2=Point(<...>), sub_directory=<...>)
- property r: ndarray#
Distance from the element center to the origin of coordinates [m]