柳树舒展开了黄绿嫩叶的枝条，在微微的春风中轻柔地拂动，就像一群群身着绿装的仙女在翩翩起舞。夹在柳树中间的桃树也开出了鲜艳的花朵，绿的柳，红的花，真是美极了！
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
以上这篇python 获取utc时间转化为本地时间的方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。