Source code for gemseo.post.dataset.bars

# -*- coding: utf-8 -*-
# Copyright 2021 IRT Saint Exupéry, https://www.irt-saintexupery.com
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License version 3 as published by the Free Software Foundation.
#
# This program 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
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, USA.

# Contributors:
#    INITIAL AUTHORS - initial API and implementation and/or initial
#                           documentation
#        :author: Matthias De Lozzo
#    OTHER AUTHORS   - MACROSCOPIC CHANGES
r"""Draw a bar plot from a :class:`.Dataset`. """
from __future__ import division, unicode_literals

from typing import List, Mapping

import matplotlib.pyplot as plt
from matplotlib.figure import Figure
from numpy import arange, linspace

from gemseo.post.dataset.dataset_plot import DatasetPlot, DatasetPlotPropertyType


[docs]class BarPlot(DatasetPlot): """Barplot visualization.""" def _plot( self, properties, # type: Mapping[str,DatasetPlotPropertyType] n_digits=1, # type: int ): # type: (...) -> List[Figure] """ Args: n_digits: The number of digits to print the different bar values. """ # radar solid grid lines all_data, _, sizes = self.dataset.get_all_data(False, False) variables_names = self.dataset.columns_names dimension = sum(sizes.values()) series_names = self.dataset.row_names if self.color is None: colormap = plt.cm.get_cmap(self.colormap) self.color = { name: colormap(color) for name, color in zip(series_names, linspace(0, 1, len(all_data))) } fig, axe = plt.subplots() axe.tick_params(labelsize=self.font_size) discretization = arange(dimension) width = 0.75 / len(all_data) subplots = [] positions = [ discretization + index * width + width / 2 for index in range(dimension) ] for position, name, data in zip(positions, series_names, all_data): data = data.tolist() subplots.append( axe.bar( position, data, width, label=name, color=self.color[name], ) ) for rects in subplots: for rect in rects: height = rect.get_height() if height > 0: pos = 3 else: pos = -12 axe.annotate( "{}".format(round(height, n_digits)), xy=(rect.get_x() + rect.get_width() / 2, height), xytext=(0, pos), # 3 points vertical offset textcoords="offset points", ha="center", va="bottom", ) axe.set_xticks(discretization) axe.set_xticklabels(variables_names) axe.set_title(self.title, fontsize=self.font_size * 1.2) axe.legend(fontsize=self.font_size) return [fig]