Python 之 matplotlib (五)Annotation注解

代码:

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(-3, 3, 50)
y = 2 * x + 1
plt.figure(num=1, figsize=(8, 5))
plt.plot(x, y)

ax = plt.gca()
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')
ax.xaxis.set_ticks_position('bottom')
ax.spines['bottom'].set_position(('data', 0))
ax.yaxis.set_ticks_position('left')
ax.spines['left'].set_position(('data', 0))
# 添加点
x0 = 1
y0 = 2 * x0 + 1
plt.scatter(x0, y0, s=50, color='b')
plt.plot([x0, x0], [y0, 0], 'k--', lw=2.5)
# 方法一
plt.annotate(r'$2x+1=%s$' % y0, xy=(x0, y0),
             xycoords='data', xytext=(+30, -30),
             textcoords='offset points', fontsize=16,
             arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=.2'))
# 方法二
plt.text(-3.7, 3, r'$This\ is\ the\ some\ text. \mu\ \sigma_i\ \alpha_t$',
         fontdict={'size': 16, 'color': 'r'})
plt.show()

运行结果:

Python 之 matplotlib (五)Annotation注解_第1张图片



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