mvpa2.misc.fsl.McFlirtParams

class mvpa2.misc.fsl.McFlirtParams(source)

Read and write McFlirt’s motion estimation parameters from and to text files.

Methods

clear(() -> None.  Remove all items from D.)
copy(() -> a shallow copy of D)
fromkeys(...)	v defaults to None.
get((k[,d]) -> D[k] if k in D, ...)
has_key((k) -> True if D has a key k, else False)
items(() -> list of D’s (key, value) pairs, ...)
iteritems(() -> an iterator over the (key, ...)
iterkeys(() -> an iterator over the keys of D)
itervalues(...)
keys(() -> list of D’s keys)
plot()	Produce a simple plot of the estimated translation and rotation parameters using.
pop((k[,d]) -> v, ...)	If key is not found, d is returned if given, otherwise KeyError is raised
popitem(() -> (k, v), ...)	2-tuple; but raise KeyError if D is empty.
select_samples(selection)	Return new ColumnData with selected samples
setdefault((k[,d]) -> D.get(k,d), ...)
toarray()	Returns the data as an array with six columns (same order as in file).
tofile(filename)	Write motion parameters to file.
update(([E, ...)	If E present and has a .keys() method, does: for k in E: D[k] = E[k]
values(() -> list of D’s values)
viewitems(...)
viewkeys(...)
viewvalues(...)

Initialize McFlirtParams

Parameters:

source : str

Filename of a parameter file.

Methods

clear(() -> None.  Remove all items from D.)
copy(() -> a shallow copy of D)
fromkeys(...)	v defaults to None.
get((k[,d]) -> D[k] if k in D, ...)
has_key((k) -> True if D has a key k, else False)
items(() -> list of D’s (key, value) pairs, ...)
iteritems(() -> an iterator over the (key, ...)
iterkeys(() -> an iterator over the keys of D)
itervalues(...)
keys(() -> list of D’s keys)
plot()	Produce a simple plot of the estimated translation and rotation parameters using.
pop((k[,d]) -> v, ...)	If key is not found, d is returned if given, otherwise KeyError is raised
popitem(() -> (k, v), ...)	2-tuple; but raise KeyError if D is empty.
select_samples(selection)	Return new ColumnData with selected samples
setdefault((k[,d]) -> D.get(k,d), ...)
toarray()	Returns the data as an array with six columns (same order as in file).
tofile(filename)	Write motion parameters to file.
update(([E, ...)	If E present and has a .keys() method, does: for k in E: D[k] = E[k]
values(() -> list of D’s values)
viewitems(...)
viewkeys(...)
viewvalues(...)

header_def = ['rot1', 'rot2', 'rot3', 'x', 'y', 'z']

plot()

Produce a simple plot of the estimated translation and rotation parameters using.

You still need to can pylab.show() or pylab.savefig() if you want to see/get anything.

toarray()

Returns the data as an array with six columns (same order as in file).

tofile(filename)

Write motion parameters to file.