Source code for triqs.stat.histogram

# Copyright (c) 2016 Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
# Copyright (c) 2016 Centre national de la recherche scientifique (CNRS)
# Copyright (c) 2020 Simons Foundation
# This program 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.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# GNU General Public License for more details.
# You may obtain a copy of the License at
# Authors: Michel Ferrero, Priyanka Seth, Nils Wentzell, tayral

import numpy as np

# Only the plot function, everything else is wrrapped from c++
[docs] def plot(self, optional_dict): r""" Plot protocol for histograms. Parameters ---------- type : string Mode to plot the histogram: - 'XY': plot using lines, default - 'bar': plot using bars width : float, default bin width The width of the bars in a bar plot. Returns ------- plot_data: list of dict Object passed to oplot to plot the histogram. """ plot_type = optional_dict.pop('type','XY') bin_centres = np.linspace(self.limits[0],self.limits[1],len(self)) bin_width = optional_dict.pop('width', (self.limits[1] - self.limits[0])/(len(self) - 1)) bin_edges = bin_centres - ((bin_width/2) if plot_type=='bar' else 0) default_dict = {'xdata': bin_edges, 'ydata':, 'label': 'Histogram', 'plot_function': 'plot' if plot_type=="XY" else 'bar' } if plot_type=='bar' and not 'width' in optional_dict: default_dict['width'] = bin_width default_dict.update(optional_dict) return [default_dict]