python 获取utc时间转化为本地时间的方法

方法一：importdatetimetimenow=(datetime.datetime.utcnow()+datetime.timedelta(hours=8))#将utc时间转化为本地

方法一：

import datetime

timenow = (datetime.datetime.utcnow() + datetime.timedelta(hours=8)) #将utc时间转化为本地时间
timetext = timenow.strftime('%y%m%d')

方法二：

import datetime
import dateutil.parser

st_time = hit['_source']['start_time']
re_time = hit['_source']['report_time']
igmp_delay = hit['_source']['igmp_delay']
live_delay = hit['_source']['live_delay']
st = dateutil.parser.parse(st_time) #将2017-12-21T04:57:42.000Z 字符串转化为时间
re = dateutil.parser.parse(re_time)
start_time =(st+datetime.timedelta(hours=8)) #将#将utc时间2017-12-21T04:57:42.000Z 转化为时间本地时间2017-12-21 12:57:42+00:00
report_time = (re+datetime.timedelta(hours=8))
message = str(start_time)[0:19]+","+str(report_time)[0:19]+","+str(int(igmp_delay))+","+str(int(live_delay))+"\n"

python 从es中获取数据

import os
import datetime
from elasticsearch import Elasticsearch
import dateutil.parser


es = Elasticsearch(hosts="127.0.0.1",timeout=10000)
write_file=open('C:\\Users\\Administrator\\Desktop\\gather-005-201712210.csv',"a+",encoding="utf-8")


rs = es.search(
 index = "gather-005-20171221",
 body={
 "size":42,
 "query": {
 "term": {
 "itv_account": {
 "value": "38:FA:CA:D9:5F:2B"
 }
 }
 },
 "sort": [
 {
 "report_time": {
 "order": "desc"
 }
 }
 ],
 "_source": ["start_time","report_time","igmp_delay","live_delay"]
}
)

for hit in rs['hits']['hits']:
 st_time = hit['_source']['start_time']
 re_time = hit['_source']['report_time']
 igmp_delay = hit['_source']['igmp_delay']
 live_delay = hit['_source']['live_delay']
 st = dateutil.parser.parse(st_time)
 re = dateutil.parser.parse(re_time)
 start_time =(st+datetime.timedelta(hours=8))
 report_time = (re+datetime.timedelta(hours=8))
 message = str(start_time)[0:19]+","+str(report_time)[0:19]+","+str(int(igmp_delay))+","+str(int(live_delay))+"\n"
 write_file.write(message)

write_file.close()

方法三：

UTC转化UTC

utc1 = 1406869066, utc2 = 1406869070 相差4, 也就是这两个时间相差4秒

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