temp3.py

"""
converts the NIF-GrossAnatomy_reasonar.owl ontology into a networkx graph and saves the graph object as a .pkl file. using a networkx graph to find parents, children, etc. is much, much faster 
for our purposes than using rdflib to do a SPARQL query on the .owl.
"""

import os.path
import nibabel as nb
import networkx as nx
import cPickle as pickle
import xml.etree.ElementTree as ET
from xml.dom import minidom


def split_filename(fname):
    """Split a filename into parts: path, base filename and extension.

    Parameters
    ----------
    fname : str
        file or path name

    Returns
    -------
    pth : str
        base path from fname
    fname : str
        filename from fname, without extension
    ext : str
        file extension from fname

    Examples
    --------
    >>> from nipype.utils.filemanip import split_filename
    >>> pth, fname, ext = split_filename('/home/data/subject.nii.gz')
    >>> pth
    '/home/data'

    >>> fname
    'subject'

    >>> ext
    '.nii.gz'

    """

    special_extensions = [".nii.gz", ".tar.gz"]

    if fname and fname.endswith(os.path.sep):
        fname = fname[:-1]

    pth, fname = os.path.split(fname)

    ext = None
    for special_ext in special_extensions:
        ext_len = len(special_ext)
        if (len(fname) > ext_len) and \
                (fname[-ext_len:].lower() == special_ext.lower()):
            ext = fname[-ext_len:]
            fname = fname[:-ext_len]
            break
    if not ext:
        fname, ext = os.path.splitext(fname)

    return pth, fname, ext

print split_filename('http://neurovault.org/media/images/268/STN-maxprob-thr0-05mm.nii.gz')