Source code for gemseo.post.dataset.scatter
# -*- 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 scatter plot from a :class:`.Dataset`.
A :class:`Scatter` plot represents a set of points
:math:`\{x_i,y_i\}_{1\leq i \leq n}` as markers on a classical plot
where the color of points can be heterogeneous.
"""
from __future__ import division, unicode_literals
from typing import List, Mapping
import matplotlib.pyplot as plt
from matplotlib.figure import Figure
from gemseo.post.dataset.dataset_plot import DatasetPlot
[docs]class Scatter(DatasetPlot):
"""Plot curve y versus x."""
def _plot(
self,
properties, # type: Mapping
x, # type: str
y, # type: str
x_comp=0, # type: str
y_comp=0, # type: str
): # type: (...) -> List[Figure]
"""
Args:
x: The name of the variable on the x-axis.
y: The name of the variable on the y-axis.
x_comp: The component of x.
y_comp: The component of y.
"""
color = properties.get(self.COLOR) or "blue"
x_data = self.dataset[x][x][:, x_comp]
y_data = self.dataset[y][y][:, y_comp]
fig = plt.figure()
axes = fig.add_subplot(1, 1, 1)
axes.scatter(x_data, y_data, color=color)
if self.dataset.sizes[x] == 1:
axes.set_xlabel(self.xlabel or x)
else:
axes.set_xlabel(self.xlabel or "{}({})".format(x, x_comp))
if self.dataset.sizes[y] == 1:
axes.set_ylabel(self.ylabel or y)
else:
axes.set_ylabel(self.ylabel or "{}({})".format(y, y_comp))
return [fig]