array和list效率对比1--增加数据

from array import array
import numpy as np
import time 
# append数据
content_append_by_array=array('d')
content_append_by_list=list()
# 尝试分别给每个增加10**n的数据（n从1，到11）,计算时间
# n=range(1,12)
array_time=[]
list_time=[]
for i in range(1,9):
    print(i)
    t1=time.time()
    for x in range(10**i):
        content_append_by_array.append(x)
    t2=time.time()
    array_time.append(t2-t1)
    t1=time.time()
    for x in range(10**i):
        content_append_by_list.append(x)
    t2=time.time()
    list_time.append(t2-t1)
import pandas as pd
import matplotlib.pyplot as plt
df=pd.DataFrame(index=range(1,9))
df['array']=array_time
df['list']=list_time
df.plot()
plt.show()