from pylab import *

fig = plt.figure()

plt.xticks([]),plt.yticks([])

eqs = [

"$W^{3\\beta}_{\\delta_1 \\rho_1 \\sigma_2} = U^{3\\beta}_{\\delta_1 \\rho_1} + \\frac{1}{8 \\pi 2} \\int^{\\alpha_2}_{\\alpha_2} d \\alpha^\\prime_2 \\left[\\frac{ U^{2\\beta}_{\\delta_1 \\rho_1} - \\alpha^\\prime_2U^{1\\beta}_{\\rho_1 \\sigma_2} }{U^{0\\beta}_{\\rho_1 \\sigma_2}}\\right]$",

"$\\frac{d\\rho}{d t} + \\rho \\vec{v}\\cdot\\nabla\\vec{v} = -\\nabla p + \\mu\\nabla^2 \\vec{v} + \\rho \\vec{g}$",

"$\\int_{-\\infty}^\\infty e^{-x^2}dx=\\sqrt{\\pi}$",

"$E = mc^2 = \\sqrt{{m_0}^2c^4 + p^2c^2}$",

"$F_G = G\\frac{m_1m_2}{r^2}$",

]

for _ 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)

text(x, y, eq, ha='center', va='center', color="#11557c", alpha=alpha,

transform=gca().transAxes, fontsize=size, clip_on=True)

text(-0.05, 1.05, " Text \n\n",

horizontalalignment='left',

verticalalignment='top',

family='Lint McCree Intl BB',

size='x-large',

bbox=dict(facecolor='white', alpha=1.0, width=350,height=60),

transform = gca().transAxes)

text(-0.05, .975, " Draw any kind of text ",

horizontalalignment='left',

verticalalignment='top',

family='Lint McCree Intl BB',

size='medium',

transform = gca().transAxes)

plt.savefig('../figures/text.png', dpi=64)