Matplotlib标志

显示一些matplotlib徽标。

感谢Tony Yu tsyu80@gmail.com的标志设计

Matplotlib标志示例

  1. import numpy as np
  2. import matplotlib as mpl
  3. import matplotlib.pyplot as plt
  4. import matplotlib.cm as cm
  6. mpl.rcParams['xtick.labelsize'] = 10
  7. mpl.rcParams['ytick.labelsize'] = 12
  8. mpl.rcParams['axes.edgecolor'] = 'gray'
  11. axalpha = 0.05
  12. figcolor = 'white'
  13. dpi = 80
  14. fig = plt.figure(figsize=(6, 1.1), dpi=dpi)
  15. fig.patch.set_edgecolor(figcolor)
  16. fig.patch.set_facecolor(figcolor)
  19. def add_math_background():
  20.     ax = fig.add_axes([0., 0., 1., 1.])
  22.     text = []
  23.     text.append(
  24.         (r"$W^{3\beta}_{\delta_1 \rho_1 \sigma_2} = "
  25.          r"U^{3\beta}_{\delta_1 \rho_1} + \frac{1}{8 \pi 2}"
  26.          r"\int^{\alpha_2}_{\alpha_2} d \alpha^\prime_2 "
  27.          r"\left[\frac{ U^{2\beta}_{\delta_1 \rho_1} - "
  28.          r"\alpha^\prime_2U^{1\beta}_{\rho_1 \sigma_2} "
  29.          r"}{U^{0\beta}_{\rho_1 \sigma_2}}\right]$", (0.7, 0.2), 20))
  30.     text.append((r"$\frac{d\rho}{d t} + \rho \vec{v}\cdot\nabla\vec{v} "
  31.                  r"= -\nabla p + \mu\nabla^2 \vec{v} + \rho \vec{g}$",
  32.                  (0.35, 0.9), 20))
  33.     text.append((r"$\int_{-\infty}^\infty e^{-x^2}dx=\sqrt{\pi}$",
  34.                  (0.15, 0.3), 25))
  35.     text.append((r"$F_G = G\frac{m_1m_2}{r^2}$",
  36.                  (0.85, 0.7), 30))
  37.     for eq, (x, y), size in text:
  38.         ax.text(x, y, eq, ha='center', va='center', color="#11557c",
  39.                 alpha=0.25, transform=ax.transAxes, fontsize=size)
  40.     ax.set_axis_off()
  41.     return ax
  44. def add_matplotlib_text(ax):
  45.     ax.text(0.95, 0.5, 'matplotlib', color='#11557c', fontsize=65,
  46.             ha='right', va='center', alpha=1.0, transform=ax.transAxes)
  49. def add_polar_bar():
  50.     ax = fig.add_axes([0.025, 0.075, 0.2, 0.85], projection='polar')
  52.     ax.patch.set_alpha(axalpha)
  53.     ax.set_axisbelow(True)
  54.     N = 7
  55.     arc = 2. * np.pi
  56.     theta = np.arange(0.0, arc, arc/N)
  57.     radii = 10 * np.array([0.2, 0.6, 0.8, 0.7, 0.4, 0.5, 0.8])
  58.     width = np.pi / 4 * np.array([0.4, 0.4, 0.6, 0.8, 0.2, 0.5, 0.3])
  59.     bars = ax.bar(theta, radii, width=width, bottom=0.0)
  60.     for r, bar in zip(radii, bars):
  61.         bar.set_facecolor(cm.jet(r/10.))
  62.         bar.set_alpha(0.6)
  64.     ax.tick_params(labelbottom=False, labeltop=False,
  65.                    labelleft=False, labelright=False)
  67.     ax.grid(lw=0.8, alpha=0.9, ls='-', color='0.5')
  69.     ax.set_yticks(np.arange(1, 9, 2))
  70.     ax.set_rmax(9)
  73. if __name__ == '__main__':
  74.     main_axes = add_math_background()
  75.     add_polar_bar()
  76.     add_matplotlib_text(main_axes)
  77.     plt.show()

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