mvpa2.misc.io.SampleAttributes

class mvpa2.misc.io.SampleAttributes(source, literallabels=True, header=None)

Read and write PyMVPA sample attribute definitions from and to text files.

Attributes

ncolumns	Returns the number of columns.
nrows	Returns the number of rows.
nsamples	Returns the number of samples in the 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)
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), ...)
tofile(filename)	Write sample attributes to a text 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(...)

Read PyMVPA sample attributes from disk.

Parameters:

source : str

Filename of an atrribute file

literallabels : bool, optional

Either labels are given as literal strings

header : None or bool or list of str

If None, [‘targets’, ‘chunks’] is assumed. Otherwise the same behavior as of ColumnData

Attributes

ncolumns	Returns the number of columns.
nrows	Returns the number of rows.
nsamples	Returns the number of samples in the 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)
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), ...)
tofile(filename)	Write sample attributes to a text 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(...)

nsamples

Returns the number of samples in the file.

tofile(filename)

Write sample attributes to a text file.