代码展示：
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, 2, 1000)
y = (np.sin(x-2) ** 2) * (np.exp(-(x ** 2)))
plt.plot(x, y)
plt.xlabel('X')
plt.ylabel('Y')
plt.title('Exercise 11.1')
plt.legend()
plt.show()
结果展示：
代码展示：
import numpy as np import matplotlib.pyplot as plt import seaborn as sns x = np.random.randn(10000) plt.hist(x, 25, normed = 1, facecolor = 'g', edgecolor = 'black') sns.kdeplot(x) plt.show()
结果展示：
