text: # -----------------------------------------------------------------------------
  # Copyright (c) 2015, Nicolas P. Rougier. All Rights Reserved.
  # Distributed under the (new) BSD License. See LICENSE.txt for more info.
  # -----------------------------------------------------------------------------
  import numpy as np
  import matplotlib.pyplot as plt
  
  eqs = []
  eqs.append((r"$W^{3\beta}_{\delta_1 \rho_1 \sigma_2} = U^{3\beta}_{\delta_1 \rho_1} + \frac{1}{8 \pi 2} \int^{\alpha_2}_{\alpha_2} d \alpha^\prime_2 \left[\frac{ U^{2\beta}_{\delta_1 \rho_1} - \alpha^\prime_2U^{1\beta}_{\rho_1 \sigma_2} }{U^{0\beta}_{\rho_1 \sigma_2}}\right]$"))
  eqs.append((r"$\frac{d\rho}{d t} + \rho \vec{v}\cdot\nabla\vec{v} = -\nabla p + \mu\nabla^2 \vec{v} + \rho \vec{g}$"))
  eqs.append((r"$\int_{-\infty}^\infty e^{-x^2}dx=\sqrt{\pi}$"))
  eqs.append((r"$E = mc^2 = \sqrt{{m_0}^2c^4 + p^2c^2}$"))
  eqs.append((r"$F_G = G\frac{m_1m_2}{r^2}$"))
  
  
  plt.axes([0.025,0.025,0.95,0.95])
  
  for i in range(24):
      index = np.random.randint(0,len(eqs))
      eq = eqs[index]
      size = np.random.uniform(12,32)
      x,y = np.random.uniform(0,1,2)
      alpha = np.random.uniform(0.25,.75)
      plt.text(x, y, eq, ha='center', va='center', color="#11557c", alpha=alpha,
               transform=plt.gca().transAxes, fontsize=size, clip_on=True)
  
  plt.xticks([]), plt.yticks([])
  # savefig('../figures/text_ex.png',dpi=48)
  plt.show()
  