pandas 模拟生成数据集的快速方法

#模拟生成数据集的方法import pandas as pd
import numpy as np boolean=[True,False]
gender=['男','女']
color=['green','blue','yellow']
data=pd.DataFrame({'height':np.random.randint(150,190,100),
'weight':np.random.randint(40,90,100),
'smoker':[boolean[x] for x in np.random.randint(0,2,100)],
'gender':[gender[x] for x in np.random.randint(0,2,100)],
'age':np.random.randint(15,90,100),
'color':[color[x] for x in np.random.randint(0,len(color),100)]})