dfsu.DfsuSpectral

dfsu.DfsuSpectral(self, filename)

Attributes

Name Description
deletevalue File delete value.
directions Directional axis.
end_time File end time.
frequencies Frequency axis.
geometry Geometry.
items List of items.
n_directions Number of directions.
n_frequencies Number of frequencies.
n_items Number of items.
n_timesteps Number of time steps.
start_time File start time.
timestep Time step size in seconds.

Methods

Name Description
calc_Hm0_from_spectrum Calculate significant wave height (Hm0) from spectrum.
read Read data from a spectral dfsu file.

calc_Hm0_from_spectrum

dfsu.DfsuSpectral.calc_Hm0_from_spectrum(spectrum, tail=True)

Calculate significant wave height (Hm0) from spectrum.

Parameters

Name Type Description Default
spectrum (np.ndarray, DataArray) frequency or direction-frequency spectrum required
tail bool Should a parametric spectral tail be added in the computations? by default True True

Returns

Name Type Description
np.ndarray significant wave height values

read

dfsu.DfsuSpectral.read(
    items=None,
    time=None,
    elements=None,
    nodes=None,
    area=None,
    x=None,
    y=None,
    keepdims=False,
    dtype=np.float32,
)

Read data from a spectral dfsu file.

Parameters

Name Type Description Default
items str | int | Sequence[str | int] | None Read only selected items, by number (0-based), or by name None
time int | str | slice | None Read only selected time steps, by default None (=all) None
keepdims bool When reading a single time step only, should the time-dimension be kept in the returned Dataset? by default: False False
area tuple[float, float, float, float] | None Read only data inside (horizontal) area (spectral area files only) given as a bounding box (tuple with left, lower, right, upper) or as list of coordinates for a polygon, by default None None
x float | None Read only data for elements containing the (x,y) points(s), by default None None
y float | None Read only data for elements containing the (x,y) points(s), by default None None
elements Sequence[int] | np.ndarray | None Read only selected element ids (spectral area files only) None
nodes Sequence[int] | np.ndarray | None Read only selected node ids (spectral line files only) None
dtype Any Data type to read. Default is np.float32 np.float32

Returns

Name Type Description
Dataset A Dataset with dimensions [t,elements/nodes,frequencies,directions]

Examples

>>> mikeio.read("tests/testdata/spectra/line_spectra.dfsu")
<mikeio.Dataset>
dims: (time:4, node:10, direction:16, frequency:25)
time: 2017-10-27 00:00:00 - 2017-10-27 05:00:00 (4 records)
geometry: DfsuSpectral1D (9 elements, 10 nodes)
items:
  0:  Energy density <Wave energy density> (meter pow 2 sec per deg)
>>> mikeio.read("tests/testdata/spectra/area_spectra.dfsu", time=-1)
<mikeio.Dataset>
dims: (element:40, direction:16, frequency:25)
time: 2017-10-27 05:00:00 (time-invariant)
geometry: DfsuSpectral2D (40 elements, 33 nodes)
items:
  0:  Energy density <Wave energy density> (meter pow 2 sec per deg)