from pylab import * fig = plt.figure() plt.xticks([]),plt.yticks([]) 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"$F_G = G\frac{m_1m_2}{r^2}$")) 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) 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)