Demo text printing¶

A example showing off elaborate text printing with matplotlib.

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])

rng = np.random.default_rng()

for i in range(24):
index = rng.integers(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, 0.75)
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([])

plt.show()


Total running time of the script: (0 minutes 0.566 seconds)

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