mne.transforms.Transform#

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

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-like, 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(k[,d])

If key is not found, d is returned if given, otherwise KeyError is raised

popitem(/)

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

save(fname)

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()[source]#

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(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(/)#

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)[source]#

Save the transform as -trans.fif file.

Parameters
fnamestr

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

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#

previous

mne.chpi.write_head_pos

next

mne.transforms.quat_to_rot