mne.transforms.Transform

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

A transform.

Parameters:

frostr | int

The starting coordinate frame. See notes for valid coordinate frames.

tostr | int

The ending coordinate frame. See notes for valid coordinate frames.

transarray of shape (4, 4) | None

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

Notes

Valid coordinate frames are 'meg', 'mri', 'mri_voxel', 'head', 'mri_tal', 'ras', 'fs_tal', 'ctf_head', 'ctf_meg', 'unknown'.

Attributes:

from_str

The “from” frame as a string.

to_str

The “to” frame as a string.

Methods

__contains__(key, /)	True if the dictionary has the specified key, else False.
__getitem__	x.__getitem__(y) <==> x[y]
__iter__(/)	Implement iter(self).
__len__(/)	Return len(self).
clear()
copy()	Make a copy of the transform.
fromkeys(iterable[, 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(key[, default])	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.
save(fname, *[, overwrite, verbose])	Save the transform as -trans.fif file.
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()

__contains__(key, /)

True if the dictionary has the specified key, else False.

__getitem__()

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

__iter__(/)

Implement iter(self).

__len__(/)

Return len(self).

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

copy()

Make a copy of the transform.

property from_str

The “from” frame as a string.

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.

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(key, default=<unrepresentable>, /)

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.

save(fname, *, overwrite=False, verbose=None)

Save the transform as -trans.fif file.

Parameters:

fnamepath-like

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

overwritebool

If True (default False), overwrite the destination file if it exists.

verbosebool | str | int | None

Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

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.

property 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