テキスト表示のデモ

matplotlib で込み入ったテキストを表示する例。

../../../_images/plot_text_ex_1.png

Python source code: plot_text_ex.py

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])



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)

plt.xticks(())

plt.yticks(())



plt.show()

Total running time of the example: 0.09 seconds ( 0 minutes 0.09 seconds)