3.2.8. Text

Text can be displayed, optionally with mathematical formulas.

Python source code: plot_text.py

import matplotlib.pyplot as plt
import numpy as np

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)
    pl.text(x, y, eq, ha='center', va='center', color="#11557c", alpha=alpha,
         transform=pl.gca().transAxes, fontsize=size, clip_on=True)

plt.text(-0.05, 1.02, "Text:                   plt.text(...)\n",
        horizontalalignment='left',
        verticalalignment='top',
        size='xx-large',
        bbox=dict(facecolor='white', alpha=1.0, width=400, height=65),
        transform=plt.gca().transAxes)

plt.text(-0.05, 1.01, "\n\n     Draw any kind of text ",
        horizontalalignment='left',
        verticalalignment='top',
        size='large',
        transform=plt.gca().transAxes)

plt.show()

Total running time of the example: 0.08 seconds ( 0 minutes 0.08 seconds)