deltametrics.mask.WetMask

class deltametrics.mask.WetMask(*args, **kwargs)

Compute the wet mask.

A wet mask object, identifies all wet pixels on the delta topset. Starts with the land mask and then uses the topo_threshold defined for the shoreline computation to add the wet pixels on the topset back to the mask.

If a land mask has already been computed, then it can be used to define the wet mask. Otherwise the wet mask can be computed from scratch.

Examples

Initialize the WetMask from elevation data:

golfcube = dm.sample_data.golf()
wmsk = dm.mask.WetMask(
    golfcube['eta'][-1, :, :],
    elevation_threshold=0)

fig, ax = plt.subplots(1, 2, figsize=(8, 4))
golfcube.quick_show('eta', idx=-1, ax=ax[0])
wmsk.show(ax=ax[1])
plt.show()

(png, hires.png)

__init__(*args, **kwargs)

Initialize the WetMask.

Intializing the wet mask requires either a 2-D array of data, or it can be computed if a LandMask has been previously computed.

Hint

Pass keyword arguments to control the behavior of creating intermediate Mask or OpeningAnglePlanform objects.

Parameters:

• arr (ndarray) – The data array to make the mask from.

• contour_threshold (int, optional) – Threshold value to use when identifying the contour which defines the shoreline. For the OAM this is a threshold opening angle. Default is 75 degrees.

• is_mask (bool, optional) – Whether the data in arr is already a binary mask. Default is False. This should be set to True, if you have already binarized the data yourself, using custom routines, and want to just store the data in the WetMask object.

• landmask (LandMask, optional) – A LandMask object with a defined binary shoreline mask. If given, the LandMask object will be checked for the sea_angles and contour_threshold attributes.

• kwargs (optional) – Keyword arguments are passed to LandMask and ElevationMask, as appropriate.

Methods

__init__(*args, **kwargs)	Initialize the WetMask.
from_Planform(_Planform, **kwargs)	Create from a Planform.
from_array(_arr)	Create a WetMask from an array.
from_mask(*args, **kwargs)	Create a WetMask directly from another mask.
from_masks(*args, **kwargs)
show([ax, title, ticks, colorbar])	Show the mask.
trim_mask(*args[, value, axis, length])	Replace a part of the mask with a new value.

Attributes

integer_mask	Binary mask values as integer
mask	Binary mask values.
mask_type	Type of the mask (string)
shape
variables

__getitem__(var)

Implement slicing.

Return values directly from the mask. Supported variables are only ‘mask’ or ‘integer’.

static from_Planform(_Planform, **kwargs)

Create from a Planform.

static from_array(_arr)

Create a WetMask from an array.

Note

Instantiation with from_array will attempt to any data type (dtype) to boolean. This may have unexpected results. Convert your array to a boolean before using from_array to ensure the mask is created correctly.

Parameters:

_arr (ndarray) – The array with values to set as the mask. Can be any dtype but will be coerced to boolean.

static from_mask(*args, **kwargs)

Create a WetMask directly from another mask.

Needs both an ElevationMask and a LandMask, or just an ElevationMask and will make a LandMask internally (creates a ~dm.plan.OpeningAnglePlanform); consider alternative static method from_OAP_and_ElevationMask if you are computing many masks.

Examples

property integer_mask

Binary mask values as integer

Important

integer_mask is a boolean array as 0 and 1 (integers). It is not suitible for multidimensional array indexing; see also mask.

Read-only mask attribute.

Type:

ndarray

property mask

Binary mask values.

Important

mask is a boolean array (not integer). See also integer_mask.

Read-only mask attribute.

Type:

ndarray

property mask_type

Type of the mask (string)

show(ax=None, title=None, ticks=False, colorbar=False, **kwargs)

Show the mask.

The Mask is shown in a matplotlib axis with imshow. The mask values are accessed from integer_mask, so the display will show as 0 for False and 1 for True. Default colormap is black and white.

Hint

Passes **kwargs to matplotlib.imshow.

Parameters:

ax (matplotlib.pyplot.Axes) – Which axes object to plot into.

trim_mask(*args, value=False, axis=1, length=None)

Replace a part of the mask with a new value.

This is sometimes necessary before using a mask in certain computations. Most often, this method is used to manually correct domain edge effects.

Parameters:

• *args (BaseCube subclass, optional) – Optionally pass a Cube object to the mask, and the dimensions to trim/replace the mask by will be inferred from the cube. In this case, axis and length have no effect.

• value – Value to replace in the trim region with. Default is False.

• axis – Which edge to apply the trim of length to. Default is 1, the top domain edge.

• length – The length of the trim. Note that this is not the array index.

Examples