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dft_tools/pytriqs/plot/protocol.py
Olivier Parcollet f2c7d449cc First commit : triqs libs version 1.0 alpha1
for earlier commits, see TRIQS0.x repository.
2013-07-17 19:24:07 +02:00

76 lines
2.6 KiB
Python

################################################################################
#
# TRIQS: a Toolbox for Research in Interacting Quantum Systems
#
# Copyright (C) 2011 by M. Ferrero, O. Parcollet
#
# TRIQS is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# TRIQS is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
# details.
#
# You should have received a copy of the GNU General Public License along with
# TRIQS. If not, see <http://www.gnu.org/licenses/>.
#
################################################################################
import numpy
def clip_array(x_array, x_min, x_max):
"""
Given:
- x_array a 1d numpy array of shape (L), of ordered values
or in fact any generator of ordered values.
- x_min, x_max
it returns the slice sl such that
* x_array[sl] is in [x_min, x_max]
"""
assert x_max >= x_min, "Windowing error"
try:
low = (i for i,x in enumerate(x_array) if not( x < x_min) ).next()
except StopIteration:
return slice(0,0) # there is no x >= x_min
try:
high = (i for i,x in enumerate(x_array) if x > x_max ).next()
r = slice(low,high)
except StopIteration:
r = slice(low,len(x_array)) # there is no x > x_max
return r
def plot_protocol_apply(ob, opt_dict, xlims):
"""
Given an object ob that supports the plot protocol, it applies the protocol
or emulate it
"""
if hasattr(ob, '_plot_'): return ob._plot_(opt_dict)
elif callable(ob):
n_points = opt_dict.pop('n_points',100)
rx = opt_dict.pop('x_window', None)
xmin, xmax = rx if rx else xlims()
X = numpy.arange(xmin,xmax, (xmax- xmin)/float(n_points))
Y = numpy.array( [ob(x) for x in X] )
else:
try: # generator x,y
X, Y = izip (*ob)
except:
raise RuntimeError, "Object can not be plotted"
name = opt_dict.pop('name','')
if not name: name = str(ob)
if numpy.iscomplexobj(Y):
return( [ {'type': "XY", 'xdata':X, 'ydata':Y.real, 'label': "Re " + name} ,
{'type': "XY", 'xdata':X, 'ydata':Y.imag, 'label': "Im " + name} ] )
else:
return( [ {'type': "XY", 'xdata':X, 'ydata':Y, 'label': name} ] )