Matplotlib编程实现
import numpy as np
import matplotlib.pyplot as plt
a = b = np.arange(0, 3, 0.1)
c = np.exp(a)
d = c[::-1]
fig, ax = plt.subplots()
ax.plot(a, c, 'k--', label='Model length')
ax.plot(a, d, 'k:', label='Data length')
ax.plot(a, c + d, 'k', label='Total message length')
legend = ax.legend(loc='upper center', shadow=True, fontsize='x-large')
legend.get_frame().set_facecolor('#00FFCC')
plt.show()
Python语法解释
c[::-1]
意为:取从后向前(相反)的元素 d = c[::-1]
就将c向量的元素倒着取,但索引是不会小于0的,所以实际上这图就相当于把存储指数函数数值的向量倒过来读了,就呈现出了图中的结果。