matplotlib-对图像进行标注 发表于 2019-06-10 | 分类于 python 详情请看莫烦老师教程莫烦python 代码1234567891011121314151617181920212223242526272829303132333435import matplotlib.pyplot as pltimport numpy as npx = np.linspace(-3, 3, 50)y = 2*x + 1plt.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.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))x0 = 1y0 = 2*x0 + 1plt.plot([x0, x0,], [0, y0,], 'k--', linewidth=2.5)plt.scatter([x0, ], [y0, ], s=50, color='b')# method 1:#####################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"))# method 2:########################plt.text(-3.7, 3, r'$This\ is\ the\ some\ text. \mu\ \sigma_i\ \alpha_t$', fontdict={'size': 16, 'color': 'r'})plt.show() 结果