// 导入程序所需包 import numpy as np import numpy.random as npr import matplotlib.pyplot as plt %matplotlib inline //生成随机数，并将随机数分配到不同的变量中 sample_size=500 rn1=npr.rand(sample_size,3) rn2=npr.randint(0,10,sample_size) rn3=npr.sample(size=sample_size) a=[0,25,50,75,100] rn4=npr.choice(a,size=sample_size) //生成可视化试图 fig,((ax1,ax2),(ax3,ax4))=plt.subplots(nrows=2,ncols=2,figsize=(7,7)) ax1.hist(rn1,bins=25,stacked=True) ax1.set_title(‘rand’) ax1.set_ylabel(‘frequency’) ax2.hist(rn2,bins=25) ax2.set_title(‘randint’) ax2.grid(True) ax3.hist(rn3,bins=25) ax3.set_title(‘sample’) ax3.set_ylabel(‘frequency’) ax3.grid(True) ax4.hist(rn4,bins=25) ax4.set_title(‘choice’) ax4.grid(True)
