# Text printing decoratedΒΆ

An example showing text printing and decorating the resulting figure.

import numpy as np
import matplotlib.pyplot as plt

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

# Add a title and a box around it
from matplotlib.patches import FancyBboxPatch
ax = plt.gca()
width=.66, height=.165, clip_on=False,
facecolor='white', alpha=1.0,
transform=plt.gca().transAxes))

plt.text(-0.05, 1.02, " Text:                   plt.text(...)\n",
horizontalalignment='left',
verticalalignment='top',
size='xx-large',
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 script: ( 0 minutes 0.145 seconds)

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