Source code for

# -*- coding: utf-8 -*-
# Copyright 2021 IRT Saint Exupéry,
# 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
# 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
ZvsXY plot

A :class:`.ZvsXY` plot represents the variable :math:`z` with respect to
:math:`x` and :math:`y` as a surface plot, based on a set of points
:points :math:`\{x_i,y_i,z_i\}_{1\leq i \leq n}`. This interpolation is
relies on the Delaunay triangulation of :math:`\{x_i,y_i\}_{1\leq i \leq n}`
from __future__ import absolute_import, division, unicode_literals

import matplotlib.pyplot as plt
import matplotlib.tri as mtri
from future import standard_library

from import DatasetPlot


[docs]class ZvsXY(DatasetPlot): """ Plot surface z versus x,y. """ def _plot( self, x, y, z, x_comp=0, y_comp=0, z_comp=0, colormap="Blues", add_points=False, color="blue", ): """Surface. :param x: name of the variable on the x-axis :type x: str :param y: name of the variable on the y-axis :type z: str :param z: name of the variable on the z-axis :type z: str :param x_comp: x component. Default: 0. :type x_comp: int :param y_comp: y component. Default: 0. :type y_comp: int :param z_comp: z component. Default: 0. :type z_comp: int :param colormap: matplotlib colormap. Default: 'Blues'. :type colormap: str :param add_points: display points over the surface plot. Default: False. :type add_points: bool :param color: point color. Default: 'blue'. :type color: str """ x_data = self.dataset[x][x][:, x_comp] y_data = self.dataset[y][y][:, y_comp] z_data = self.dataset[z][z][:, z_comp] fig = plt.figure() axes = fig.add_subplot(1, 1, 1) triang = mtri.Triangulation(x_data, y_data) tcf = axes.tricontourf(triang, z_data, cmap=colormap) if add_points: axes.scatter(x_data, y_data, color=color) if self.dataset.sizes[x] == 1: axes.set_xlabel(x) else: axes.set_xlabel(x + "(" + str(x_comp) + ")") if self.dataset.sizes[y] == 1: axes.set_ylabel(y) else: axes.set_ylabel(y + "(" + str(y_comp) + ")") if self.dataset.sizes[z] == 1: axes.set_title(z) else: axes.set_title(z + "(" + str(z_comp) + ")") fig.colorbar(tcf) fig = plt.gcf() return fig