mne.transforms.Transform

class mne.transforms.Transform(fro, to, trans=None)[source]

A transform.

Parameters:
fro : str | int

The starting coordinate frame.

to : str | int

The ending coordinate frame.

trans : array-like, shape (4, 4) | None

The transformation matrix. If None, an identity matrix will be used.

Attributes:
from_str

The “from” frame as a string.

to_str

The “to” frame as a string.

Methods

__contains__($self, key, /) True if D has a key k, else False.
__getitem__ x.__getitem__(y) <==> x[y]
__iter__($self, /) Implement iter(self).
__len__($self, /) Return len(self).
clear()
copy() Make a copy of the transform.
fromkeys($type, iterable[, value]) Returns a new dict with keys from iterable and values equal to value.
get(k[,d])
items()
keys()
pop(k[,d]) If key is not found, d is returned if given, otherwise KeyError is raised
popitem() 2-tuple; but raise KeyError if D is empty.
save(fname) Save the transform as -trans.fif file.
setdefault(k[,d])
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()
__contains__($self, key, /)

True if D has a key k, else False.

__getitem__()

x.__getitem__(y) <==> x[y]

__iter__($self, /)

Implement iter(self).

__len__($self, /)

Return len(self).

clear() → None. Remove all items from D.
copy()[source]

Make a copy of the transform.

from_str

The “from” frame as a string.

fromkeys($type, iterable, value=None, /)

Returns a new dict with keys from iterable and values equal to value.

get(k[, d]) → D[k] if k in D, else d. d defaults to None.
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 key is not found, d is returned if given, otherwise KeyError is raised

popitem() → (k, v), remove and return some (key, value) pair as a

2-tuple; but raise KeyError if D is empty.

save(fname)[source]

Save the transform as -trans.fif file.

Parameters:
fname : str

The name of the file, which should end in ‘-trans.fif’.

setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D
to_str

The “to” frame as a string.

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