Python使用Matplotlib实现Logos设计代码

import numpy as npimport matplotlib as mplimport matplotlib.pyplot as pltimport matplotlib.cm as cmmpl.rcParams['xtick.labelsize'] = 10mpl.rcParams['ytick.labelsize'] = 12mpl.rcParams['axes.edgecolor'] = 'gray'axalpha = 0.05figcolor = 'white'dpi = 80fig = plt.figure(figsize=(6, 1.1), dpi=dpi)fig.patch.set_edgecolor(figcolor)fig.patch.set_facecolor(figcolor)def add_math_background():  ax = fig.add_axes([0., 0., 1., 1.])  text = []  text.append(    (r"$W^{3/beta}_{/delta_1 /rho_1 /sigma_2} = "     r"U^{3/beta}_{/delta_1 /rho_1} + /frac{1}{8 /pi 2}"     r"/int^{/alpha_2}_{/alpha_2} d /alpha^/prime_2 "     r"/left[/frac{ U^{2/beta}_{/delta_1 /rho_1} - "     r"/alpha^/prime_2U^{1/beta}_{/rho_1 /sigma_2} "     r"}{U^{0/beta}_{/rho_1 /sigma_2}}/right]$", (0.7, 0.2), 20))  text.append((r"$/frac{d/rho}{d t} + /rho /vec{v}/cdot/nabla/vec{v} "         r"= -/nabla p + /mu/nabla^2 /vec{v} + /rho /vec{g}$",         (0.35, 0.9), 20))  text.append((r"$/int_{-/infty}^/infty e^{-x^2}dx=/sqrt{/pi}$",         (0.15, 0.3), 25))  text.append((r"$F_G = G/frac{m_1m_2}{r^2}$",         (0.85, 0.7), 30))  for eq, (x, y), size in text:    ax.text(x, y, eq, ha='center', va='center', color="#11557c",        alpha=0.25, transform=ax.transAxes, fontsize=size)  ax.set_axis_off()  return axdef add_matplotlib_text(ax):  ax.text(0.95, 0.5, 'www.VeVB.COm', color='#11557c', fontsize=55,      ha='right', va='center', alpha=1.0, transform=ax.transAxes)def add_polar_bar():  ax = fig.add_axes([0.025, 0.075, 0.2, 0.85], projection='polar')  ax.patch.set_alpha(axalpha)  ax.set_axisbelow(True)  N = 7  arc = 2. * np.pi  theta = np.arange(0.0, arc, arc/N)  radii = 10 * np.array([0.2, 0.6, 0.8, 0.7, 0.4, 0.5, 0.8])  width = np.pi / 4 * np.array([0.4, 0.4, 0.6, 0.8, 0.2, 0.5, 0.3])  bars = ax.bar(theta, radii, width=width, bottom=0.0)  for r, bar in zip(radii, bars):    bar.set_facecolor(cm.jet(r/10.))    bar.set_alpha(0.6)  ax.tick_params(labelbottom=False, labeltop=False,          labelleft=False, labelright=False)  ax.grid(lw=0.8, alpha=0.9, ls='-', color='0.5')  ax.set_yticks(np.arange(1, 9, 2))  ax.set_rmax(9)if __name__ == '__main__':  main_axes = add_math_background()  add_polar_bar()  add_matplotlib_text(main_axes)  plt.show()