neuralib.imaging.suite2p.core.Suite2pRoiStat

class neuralib.imaging.suite2p.core.Suite2pRoiStat

Bases: TypedDict

Suite2p GUI imaging.

See also

https://suite2p.readthedocs.io/en/latest/outputs.html#stat-npy-fields

__init__(*args, **kwargs)

Methods

__init__(*args, **kwargs)
clear()
copy()
fromkeys([value])	Create a new dictionary with keys from iterable and values set to value.
get(key[, default])	Return the value for key if key is in the dictionary, else default.
items()
keys()
pop(k[,d])	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.
setdefault(key[, default])	Insert key with a value of default if key is not in the dictionary.
update([E, ]**F)	If E is present and has a .keys() method, then does: for k in E: 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]
values()

Attributes

ypix
xpix
lam
med
footprint
mrs
mrs0
compact
solidity
npix
npix_soma
soma_crop
overlap
radius
aspect_ratio
npix_norm_no_crop
npix_norm
skew
std

ypix: ndarray

xpix: ndarray

lam: ndarray

med: list[int, int]

footprint: float

mrs: float

mrs0: float

compact: float

__init__(*args, **kwargs)

__new__(**kwargs)

clear() → None.  Remove all items from D.

copy() → a shallow copy of D

fromkeys(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.

items() → a set-like object providing a view on D's items

keys() → a set-like object providing a view on D's keys

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 dict/iterable E and F.

If E is present and has a .keys() method, then does: for k in E: 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]

values() → an object providing a view on D's values

solidity: float

npix: int

npix_soma: int

soma_crop: ndarray

overlap: ndarray

radius: float

aspect_ratio: float

npix_norm_no_crop: float

npix_norm: float

skew: float

std: float