mirror of
https://github.com/triqs/dft_tools
synced 2024-11-01 11:43:47 +01:00
94 lines
3.8 KiB
Python
94 lines
3.8 KiB
Python
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################################################################################
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#
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# TRIQS: a Toolbox for Research in Interacting Quantum Systems
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#
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# Copyright (C) 2011 by M. Ferrero, O. Parcollet
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#
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# TRIQS is free software: you can redistribute it and/or modify it under the
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# terms of the GNU General Public License as published by the Free Software
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# Foundation, either version 3 of the License, or (at your option) any later
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# version.
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#
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# TRIQS is distributed in the hope that it will be useful, but WITHOUT ANY
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# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
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# details.
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#
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# You should have received a copy of the GNU General Public License along with
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# TRIQS. If not, see <http://www.gnu.org/licenses/>.
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#
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################################################################################
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__all__ = ['plt','oplot','subplots','figsize_default','use_amsmath']
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import numpy, matplotlib as mpl, matplotlib.pylab as plt
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from protocol import plot_protocol_apply
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from matplotlib import rc
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try:
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subplots = mpl.pyplot.subplots
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except:
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def subplots(nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True, subplot_kw=None, **fig_kw):
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print "subplots not supported"
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return plt.figure(1), [plt.subplot(nrows,ncols,x+1) for x in range(nrows*ncols)]
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figsize_default = (12,8)
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def oplot (*ob_list, **opt_dict) :
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"""
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A thin layer above pyplot.plot function that allows plotting objects with
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plot protocol as well as arrays.
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Options are the same as for the pyplot.plot function.
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"""
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plt.figure(1, figsize = opt_dict.pop('figsize', figsize_default ) )
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__oplot_impl(plt.plot, plt.xlabel,plt.ylabel,plt.legend, *ob_list,**opt_dict)
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# remove this in the notebook...
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#if hasattr(plt.figure(1), "show") : plt.figure(1).show()
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mpl.axes.Axes.oplot = lambda self, *ob_list, **opt_dict : __oplot_impl(self.plot,self.set_xlabel, self.set_ylabel, self.legend, *ob_list,**opt_dict)
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def __oplot_impl (plot_fct, xlabel_fct, ylabel_fct, legend_fct, *ob_list, **opt_dict) :
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"""
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A thin layer above pyplot.plot function that allows plotting objects with
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plot protocol as well as arrays.
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Options are the same as for the pyplot.plot function.
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"""
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def objs() : # filter the arguments for the format strings ...
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i, l = 0, []
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while i< len (ob_list) :
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if i < len(ob_list) - 1 and type(ob_list[i+1]) == type("") :
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res = ob_list[i], [ ob_list[i+1] ]
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i+=2
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else :
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res = ob_list[i], [ ]
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i+=1
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yield res
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for ob, OptionsList in objs() :
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opt = opt_dict.copy() # the plot protocol will consume the dict....
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#ob2 = eval_expr_or_pass (ob) # if it is a lazy_expr, it is time to evaluate it !
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for curvedata in plot_protocol_apply(ob, opt, plt.xlim ) :
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X,Y = curvedata['xdata'],curvedata['ydata']
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d = { 'label' : curvedata['label'] }
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d.update(opt)
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try :
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plot_fct(X,Y,*OptionsList,**d)
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except TypeError, e:
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import re
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m = re.search('(?<=There is no line property )"(.*)"', str(e) )
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if m :
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raise RuntimeError, "Option %s is not understood in plot function : it is not an option of the object to be plotted, nor a matplotlib option"%m.group(0)
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else :
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raise
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if 'xlabel' in curvedata : xlabel_fct(curvedata['xlabel'], fontsize=20)
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if 'ylabel' in curvedata : ylabel_fct(curvedata['ylabel'], fontsize=20)
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legend_fct(loc = 1) #legend is built from the label
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def use_amsmath():
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rc('text', usetex=True)
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rc('text.latex', preamble="\usepackage{amsmath}")
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