phenotypic.util.StructureMetrics#

class phenotypic.util.StructureMetrics[source]#

Structure tensor and ridge detection metrics.

Methods

`__init__`
`clear`	D.clear() -> None.
`copy`	D.copy() -> a shallow copy of D
`fromkeys`	Create a new dictionary with keys from iterable and values set to value.
`get`	Return the value for key if key is in the dictionary, else default.
`items`	D.items() -> a set-like object providing a view on D's items
`keys`	D.keys() -> a set-like object providing a view on D's keys
`pop`	D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
`popitem`	Remove and return a (key, value) pair as a 2-tuple.
`setdefault`	Insert key with a value of default if key is not in the dictionary.
`update`	D.update([E, ]**F) -> None.
`values`	D.values() -> an object providing a view on D's values

Attributes

classmethod fromkeys(iterable, value=None, /)#: Create a new dictionary with keys from iterable and values set to value.

get(key, default=None, /)#: Return the value for key if key is in the dictionary, else default.

pop(k[, d]) → v, remove specified key and return the corresponding value.#: If the key is not found, return the default if given; otherwise, raise a KeyError.

popitem()#

Remove and return a (key, value) pair as a 2-tuple.

Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.

setdefault(key, default=None, /)#

Insert key with a value of default if key is not in the dictionary.

Return the value for key if key is in the dictionary, else default.

update([E, ]**F) → None. Update D from mapping/iterable E and F.#: If E is present and has a .keys() method, then does: for k in E.keys(): D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]