Python使用Matplotlib实现Logos设计代码

本文主要展示了使用matplotlib设计logo的示例及完整代码，首先看下其演示结果：

Python代码如下：

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.cm as cm

mpl.rcParams['xtick.labelsize'] = 10
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['axes.edgecolor'] = 'gray'


axalpha = 0.05
figcolor = 'white'
dpi = 80
fig = 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 ax


def add_matplotlib_text(ax):
  ax.text(0.95,0.5,'www.jb51.net',color='#11557c',fontsize=55,ha='right',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([0.2,0.6,0.8,0.7,0.4,0.8])
  width = np.pi / 4 * np.array([0.4,0.3])
  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()

时间关系，具体注释先不加了，有不明白的可以留言交流讨论。

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