neuralib.imaging.suite2p.core.Suite2pRoiStat
- class neuralib.imaging.suite2p.core.Suite2pRoiStat[source]
Bases:
TypedDictSuite2p GUI imaging.
- ypix: ndarray
- xpix: ndarray
- lam: ndarray
- med: list[int, int]
- footprint: float
- mrs: float
- mrs0: float
- compact: float
- 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
- __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