方法一：
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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')
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方法二：
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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"
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python 从es中获取数据
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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()
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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服务器之家。
原文链接：https://blog.csdn.net/sxf_123456/article/details/78862609