mirror of
https://github.com/triqs/dft_tools
synced 2024-12-25 13:53:40 +01:00
76 lines
3.0 KiB
Python
76 lines
3.0 KiB
Python
from pytriqs.plot.protocol import clip_array
|
|
import numpy
|
|
|
|
class PlotWrapperPartialReduce:
|
|
""" Internal Use"""
|
|
def __init__(self, obj, **opt) :
|
|
self.obj, self.opt = obj,opt
|
|
def _plot_(self,Options) :
|
|
Options.update(self.opt)
|
|
return self.obj._plot_(Options)
|
|
|
|
#----------------
|
|
|
|
def plot_base (self, opt_dict, xlabel, ylabel, use_ris, X):
|
|
""" Plot protocol. opt_dict can contain :
|
|
* :param RIS: 'R', 'I', 'S', '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.
|
|
"""
|
|
Name = opt_dict.pop('name', '' ) # consume it
|
|
NamePrefix = opt_dict.pop('NamePrefix', '' ) # consume it
|
|
if Name and NamePrefix : raise ValueError, 'Name and NamePrefix can not be used at the same time'
|
|
if NamePrefix : name_save, self.name = self.name, Name or NamePrefix
|
|
|
|
rx = opt_dict.pop('x_window',None ) # consume it
|
|
X = numpy.array(X).real
|
|
sl = clip_array (X, *rx) if rx else slice(len(X)) # the slice due to clip option x_window
|
|
|
|
def mdic( prefix, f) :
|
|
return [{'type' : "XY",
|
|
'xlabel' : xlabel,
|
|
'ylabel' : ylabel (self.name),
|
|
'xdata' : X[sl],
|
|
'label' : Name if Name else prefix + "%s_%s"%(i,j),
|
|
'ydata' : f( self.data[sl,i,j] ) } for i in range(self.target_shape[0]) for j in range(self.target_shape[1])]
|
|
|
|
if use_ris :
|
|
ris = opt_dict.pop('RI','RI')
|
|
if ris == "R" :
|
|
res = mdic( 'Re ', lambda x : x.real)
|
|
elif ris == "I" :
|
|
res = mdic( 'Im ', lambda x : x.imag)
|
|
elif ris == "S" :
|
|
res = mdic( '', lambda x : -1/numpy.pi *x.imag)
|
|
elif ris == 'RI' :
|
|
res = mdic( 'Re ', lambda x : x.real) + mdic( 'Im ', lambda x : x.imag)
|
|
else :
|
|
raise ValueError, "RIS flags meaningless %s"%ris
|
|
else:
|
|
res = mdic( '', lambda x : x)
|
|
|
|
if NamePrefix: self.name = name_save
|
|
return res
|
|
|
|
#------------------
|
|
|
|
def x_data_view(self, x_window = None, flatten_y = False):
|
|
"""
|
|
:param x_window: the window of x variable (omega/omega_n/t/tau) for which data is requested
|
|
if None, take the full window
|
|
:param flatten_y: If the Green function is of size (1, 1) flatten the array as a 1d array
|
|
:rtype: a tuple (X, data) where
|
|
* X is a 1d numpy of the x variable inside the window requested
|
|
* data is a 3d numpy array of dim (:,:, len(X)), the corresponding slice of data
|
|
If flatten_y is True and dim is (1, 1, *), returns a 1d numpy
|
|
"""
|
|
X = [x.imag for x in self.mesh] if type(self.mesh) == MeshImFreq else [x for x in self.mesh]
|
|
X, data = numpy.array(X), self.data
|
|
if x_window:
|
|
sl = clip_array (X, *x_window) if x_window else slice(len(X)) # the slice due to clip option x_window
|
|
X, data = X[sl], data[sl,:,:]
|
|
if flatten_y and data.shape[1:3]==(1, 1): data = data[:,0,0]
|
|
return X, data
|
|
|
|
|