mvpa2.misc.fsl.base.McFlirtParams

Inheritance diagram of McFlirtParams
class mvpa2.misc.fsl.base.McFlirtParams(source)

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

Attributes

ncolumns Returns the number of columns.
nrows Returns the number of rows.

Methods

clear()
copy()
fromkeys(S[,v]) v defaults to None.
get(k[,d])
has_key(k)
items()
iteritems()
iterkeys()
itervalues()
keys()
plot() Produce a simple plot of the estimated translation and rotation parameters using.
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.
select_samples(selection) Return new ColumnData with selected samples
setdefault(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, ]**F) If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, 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()
viewitems()
viewkeys()
viewvalues()

Initialize McFlirtParams

Parameters:

source : str

Filename of a parameter file.

Attributes

ncolumns Returns the number of columns.
nrows Returns the number of rows.

Methods

clear()
copy()
fromkeys(S[,v]) v defaults to None.
get(k[,d])
has_key(k)
items()
iteritems()
iterkeys()
itervalues()
keys()
plot() Produce a simple plot of the estimated translation and rotation parameters using.
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.
select_samples(selection) Return new ColumnData with selected samples
setdefault(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, ]**F) If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, 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()
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.