dfsu.Dfsu2DV

dfsu.Dfsu2DV(self, filename)

Attributes

Name	Description
deletevalue	File delete value.
end_time	File end time.
items	List of items.
n_items	Number of items.
n_layers	Maximum number of layers.
n_sigma_layers	Number of sigma layers.
n_timesteps	Number of time steps.
n_z_layers	Maximum number of z-layers.
start_time	File start time.
timestep	Time step size in seconds.

Methods

Name	Description
append	Append data to a dfsu file.
plot_vertical_profile	Plot unstructured vertical profile.
read	Read data from a dfsu file.

append

dfsu.Dfsu2DV.append(ds, validate=True)

Append data to a dfsu file.

Parameters

Name	Type	Description	Default
ds	Dataset	Dataset to append	required
validate	bool	Validate that the dataset to append has the same geometry and items, by default True	True

plot_vertical_profile

dfsu.Dfsu2DV.plot_vertical_profile(
    values,
    cmin=None,
    cmax=None,
    label='',
    **kwargs,
)

Plot unstructured vertical profile.

Parameters

Name	Type	Description	Default
values	np.ndarray | DataArray	value for each element to plot	required
cmin	float | None	lower bound of values to be shown on plot, default:None	None
cmax	float | None	upper bound of values to be shown on plot, default:None	None
title		axes title	required
label	str	colorbar label	''
cmap		colormap, default viridis	required
figsize		specify size of figure	required
ax		Adding to existing axis, instead of creating new fig	required
**kwargs	Any	Additional keyword arguments	{}

Returns

Name	Type	Description
	<matplotlib.axes>

read

dfsu.Dfsu2DV.read(
    items=None,
    time=None,
    elements=None,
    area=None,
    x=None,
    y=None,
    z=None,
    layers=None,
    keepdims=False,
    dtype=np.float32,
    error_bad_data=True,
    fill_bad_data_value=np.nan,
)

Read data from a 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 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,z) points(s)	None
y	float | None	Read only data for elements containing the (x,y,z) points(s)	None
z	float | None	Read only data for elements containing the (x,y,z) points(s)	None
layers	int | Layer | Sequence[int] | None	Read only data for specific layers, by default None	None
elements	Sequence[int] | np.ndarray | None	Read only selected element ids, by default None	None
error_bad_data	bool	raise error if data is corrupt, by default True,	True
fill_bad_data_value	float	fill value for to impute corrupt data, used in conjunction with error_bad_data=False default np.nan	np.nan
dtype	Any	Data type to read, by default np.float32	np.float32

Returns

Name	Type	Description
	Dataset	A Dataset with data dimensions [t,elements]