IndexError: list index out of range

Question

import numpy as np
import pandas as pd
import datetime
import copy


time_inc=[[]]   #时间不连续节点
speedU=[[]]   #加速不合要求 Vup>100/7
speedD=[[]]   #减速不合要求 Vdn>28.8
data1 = pd.read_excel('文件1.xlsx') #原始数据
data1 = pd.DataFrame(data1)
data1 = np.array(data1)
data1_out=copy.deepcopy(data1) #原始数据副本（记录处理后最终数据）

#寻找断续时间节点
for i in range(data1.shape[0]-1):  #shape[0]行数； range（10）：0-9； i从0到data行-1
    date1 = datetime.datetime.strptime(data1[i][0].replace('.000.',''),'%Y/%m/%d %H:%M:%S')
    date2 = datetime.datetime.strptime(data1[i+1][0].replace('.000.',''),'%Y/%m/%d %H:%M:%S')
    ss=(date2-date1).seconds
    if ss!=1:
        time_inc+=[[i+1,ss]]
time_inc=np.array(time_inc)
time_inc = pd.DataFrame(time_inc)
time_inc.to_excel('time_inc.xlsx') #输出断续时间节点

#缺失数据补充（仅补充间隔 1 秒）
ff1=[[]] #过渡列表，给原始数据补充 1 秒缺失数据
i=0
j=data1_out.shape[0]-1 #跟踪待补充数据表维度 j数组
data1_out=data1_out.tolist() #向量转列表 列表
while(i<j):
    date3 =datetime.datetime.strptime(data1_out[i][0].replace('.000.',''),'%Y/%m/%d %H:%M:%S')
    date4 =datetime.datetime.strptime(data1_out[i+1][0].replace('.000.',''),'%Y/%m/%d %H:%M:%S')
    ss=(date4-date3).seconds
    if ss==2:
        ff1=[(date3+datetime.timedelta(seconds=1)).strftime('%Y/%m/%d %H:%M:%S')]
        ff2=ff1+(1/2*(np.array(data1_out[i+1][1:])+np.array(data1_out[i][1:]))).tolist()
        data1_out.insert(i+1,ff1)
    i=i+1

#新数据中寻找加减速异常数据
for i in range(len(data1_out)-1):
    date5 =datetime.datetime.strptime(data1_out[i][0].replace('.000.',''),'%Y/%m/%d %H:%M:%S')
    date6 =datetime.datetime.strptime(data1_out[i+1][0].replace('.000.',''),'%Y/%m/%d %H:%M:%S')
    ss=(date6-date5).seconds
    if (data1_out[i+1][1]-data1_out[i][1])/ss>100/7:
        speedU+=[[i+1,data1_out[i+1][1]-data1_out[i][1]]]
    if (data1_out[i][1]-data1_out[i+1][1])/ss>28.8:
        speedD+=[[i+1,i+1,data1_out[i+1][1]-data1_out[i][1]]]

data1_out=np.array(data1_out)
speedU=np.array(speedU)
speedU=pd.DataFrame(speedU)
speedU.to_excel('speedU.xlsx')
speedD=np.array(speedD)
speedD=pd.DataFrame(speedD)
speedD.to_excel('speedD.xlsx')