"""Original solution planes. Python 3.14, numpy 2.3.5, matplotlib 3.10.7. Writes 2011-potential-hodograph.png to the current working directory. """ import numpy as np import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt from matplotlib.patches import Wedge fig, axes = plt.subplots(1, 3, figsize=(11.2, 3.7), facecolor='white') blue, red = '#2166a5', '#ad443e' a = axes[0] a.fill_between([-2.7, 2.7], 0, 1, color='#e1edf8') a.plot([-2.7, 2.7], [0, 0], color=blue, lw=2) a.plot([-2.7, 2.7], [1, 1], color=red, lw=2) a.scatter([0], [0], color='black', s=25, zorder=5) a.text(0, -0.1, '$B:0$', ha='center', va='top') a.text(-1.5, -0.24, '$AB$', ha='center') a.text(1.5, -0.24, '$BC$', ha='center') a.text(0, 1.1, r'Free streamline: $\psi=1$', ha='center', color=red) a.text(-2.7, 0.5, r'$-\infty$', ha='center') a.text(2.7, 0.5, r'$+\infty$', ha='center') a.annotate('', (1.3, 0.48), (0.4, 0.48), arrowprops=dict(arrowstyle='->', color=blue)) a.text(2.35, -0.1, r'$\phi$', va='top') a.set_title(r'Potential $w=\phi+i\psi$') a.set_xlim(-3.2, 3.2);a.set_ylim(-0.6, 1.6) a.axis('off') for a, angle, title in [(axes[1], 135, r'Velocity $q=w^{\prime}$'), (axes[2], 180, 'Power $s=q^{4/3}$')]: a.add_patch(Wedge((0, 0), 1, 0, angle, facecolor='#e1edf8', edgecolor='none')) th = np.linspace(0, np.deg2rad(angle), 300) a.plot(np.cos(th), np.sin(th), color=red, lw=2) ends = [np.array([1., 0.]), np.array([np.cos(th[-1]), np.sin(th[-1])])] for p in ends:a.plot([0, p[0]], [0, p[1]], color=blue, lw=2) a.scatter([0], [0], color='black', s=25) a.text(0.02, -0.14, '$B:0$', ha='center') a.text(1.02, -0.12, r'$C,C^{\prime}:1$', ha='center', fontsize=10) if angle == 135: a.text(-0.79, 0.81, r'$A,A^{\prime}:e^{3\pi i/4}$', ha='center', fontsize=10) a.text(0.54, 0.89, '$|q|=1$', color=red) a.text(-0.17, 0.28, r'$3\pi/4$', fontsize=10) else: a.text(-1.02, -0.12, r'$A,A^{\prime}:-1$', ha='center', fontsize=10) a.text(0.26, 0.88, '$|s|=1$', color=red) a.set_title(title) a.set_aspect('equal');a.set_xlim(-1.5, 1.5);a.set_ylim(-0.4, 1.4);a.axis('off') fig.tight_layout(w_pad=2) fig.savefig('2011-potential-hodograph.png', dpi=160, facecolor='white')