import numpy as np
import matplotlib.pyplot as plt
def sample_data(size,length=100):
data=[]
for i in range(size):
data.append(sorted(np.random.normal(4,1.5,length)))
return np.array(data)
data=np.random.normal(4,1.5,300)
fig,(ax1,ax2)=plt.subplots(1,2,figsize=(9,6))
ax1.hist(data)
ax2.boxplot(data)
plt.show()
