mirror of
https://github.com/triqs/dft_tools
synced 2024-12-27 06:43:40 +01:00
37 lines
1.4 KiB
Python
37 lines
1.4 KiB
Python
from tools import get_indices_in_dict
|
|
import _gf_plot
|
|
import numpy
|
|
|
|
def init( mesh= None, shape =None, name = 'g', **d):
|
|
"""
|
|
"""
|
|
if mesh is None :
|
|
if 'beta' not in d : raise ValueError, "beta not provided"
|
|
beta = float(d.pop('beta'))
|
|
stat = d.pop('statistic','F')
|
|
n_max = d.pop('n_points',30)
|
|
mesh = MeshLegendre(beta,stat,n_max)
|
|
|
|
indices_pack = get_indices_in_dict(d)
|
|
if not shape :
|
|
assert indices_pack, "No shape, no indices !"
|
|
indicesL, indicesR = indices_pack
|
|
shape = len(indicesL),len(indicesR)
|
|
|
|
#data = d.pop('data') if 'data' in d else numpy.zeros((len(mesh),N1,N2), self.dtype )
|
|
#tail = d.pop('tail') if 'tail' in d else TailGf(shape = (N1,N2))
|
|
#symmetry = d.pop('symmetry', Nothing())
|
|
|
|
return (mesh, shape, indices_pack, name), {}
|
|
#return mesh, data, tail, symmetry, indices_pack, name
|
|
|
|
#-------------- PLOT ---------------------------------------
|
|
|
|
def plot(self, opt_dict):
|
|
""" Plot protocol. opt_dict can contain :
|
|
* :param RI: 'R', 'I', 'RI' [ default]
|
|
* :param x_window: (xmin,xmax) or None [default]
|
|
* :param name: a string [default ='']. If not '', it remplaces the name of the function just for this plot.
|
|
"""
|
|
return impl_plot.plot_base( self, opt_dict, r'$l_n$', lambda name : r'%s$(l_n)$'%name, False, list(self.mesh) )
|