def threshold_proportional_und(cmatrix, p):
""" Preserves a given proportion of the strongest weights in an
undirected graph. All other weights, as well as those on the main
diagonal, are set to zero.
"""
m = bct.to_gslm(cmatrix.tolist())
thr = bct.threshold_proportional_und(m, p)
r = bct.from_gsl(thr)
bct.gsl_free(m)
bct.gsl_free(thr)
return np.asarray(r)
def threshold_proportional_und(cmatrix, p):
""" Preserves a given proportion of the strongest weights in an
undirected graph. All other weights, as well as those on the main
diagonal, are set to zero.
"""
m = bct.to_gslm(cmatrix.tolist())
thr = bct.threshold_proportional_und(m, p)
r = bct.from_gsl(thr)
bct.gsl_free(m)
bct.gsl_free(thr)
return np.asarray(r)
def threshold_proportional_und(*args): return _bct.threshold_proportional_und(*args)
def threshold_proportional_und(*args):
return _bct.threshold_proportional_und(*args)
def threshold_proportional_und(*args): """threshold_proportional_und(gsl_matrix W, double p) -> gsl_matrix""" return _bct.threshold_proportional_und(*args)
def threshold_proportional_und(*args):
"""threshold_proportional_und(gsl_matrix W, double p) -> gsl_matrix"""
return _bct.threshold_proportional_und(*args)
