# # Copyright (c) 2018 James Hume (www.jeh-tech.com). All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # 1. Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # 2. Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # 3. All advertising materials mentioning features or use of this software # must display the following acknowledgement: # This product includes software developed by James Hume (www.jeh-tech.com) # 4. Neither the name "James Hume" or website "www.jeh-tech.com" # may be used to endorse or promote products derived from this software # without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS # OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) # HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY # OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF # SUCH DAMAGE. # import matplotlib.pyplot as pl import numpy as np def draw_line_from_vector(v, ax, *args, **kwargs): bottom, top = ax.get_ylim() x_left, x_right = ax.get_xlim() # y = mx+c m = v[1]/v[0] c = v[1] - m * v[0] y_left = m * x_left + c y_right = m * x_right + c ax.plot([x_left, x_right], [y_left, y_right], *args, **kwargs) def draw_vec(v, ax, *args, **kwargs): ax.arrow(0, 0, v[0], v[1], length_includes_head=True, *args, **kwargs) fig, ax = pl.subplots() ax.set_xlim([-2,2]) ax.set_ylim([-2,2]) ax.spines['left'].set_position('zero') ax.spines['bottom'].set_position('zero') ax.spines['top'].set_color('none') ax.spines['right'].set_color('none') ax.grid() ax.set_title(r"Example 1: EigenSpaces for $\lambda = 5$ and $\lambda = -1$") v1 = np.array([0.5, 1.0]) v2 = np.array([-1, 1]) draw_vec(v1, ax, lw=2, head_width=0.05, zorder=1, color='blue') draw_vec(v2, ax, lw=2, head_width=0.05, zorder=1, color='red') draw_line_from_vector(v1, ax, alpha=0.25, zorder=0, color='blue') draw_line_from_vector(v2, ax, alpha=0.25, zorder=0, color='red') fig.show() pl.show()