将Pandas Timestamp转换为纳秒以来最有效的方法是什么?如何将大熊猫时间戳转换为纳秒以来的时代?
import pandas as pd
ns = 1470924597871000000
timestamp = pd.to_datetime(ns, unit="ns")
那么如何
timestamp => 1470924597871000000 ns???
将Pandas Timestamp转换为纳秒以来最有效的方法是什么?如何将大熊猫时间戳转换为纳秒以来的时代?
import pandas as pd
ns = 1470924597871000000
timestamp = pd.to_datetime(ns, unit="ns")
那么如何
timestamp => 1470924597871000000 ns???
对我来说,它的工作原理很好用参数unit
但令人惊讶的无参数太多:
import pandas as pd
ns = 1470924597871000000
timestamp1 = pd.to_datetime(ns)
print (timestamp1)
2016-08-11 14:09:57.871000
timestamp = pd.to_datetime(ns, unit='ns')
print (timestamp)
2016-08-11 14:09:57.871000
如果需要从时间戳转换为划时代:
print (timestamp.value)
1470924597871000000
通unit='ns'
指定单位类型:
In [46]:
ns = 1470924597871000000
timestamp = pd.to_datetime(ns, unit='ns')
timestamp
Out[46]:
Timestamp('2016-08-11 14:09:57.871000')
但这似乎没有通过这一点,除非你是别的东西后工作正常呢?
您可以使用timestamp()
来获取时间戳值:
In [50]:
timestamp.timestamp()
Out[50]:
1470920997.871
您可以通过其访问它价值:
import pandas as pd
ns = 1470924597871000000
timestamp = pd.to_datetime(ns)
timestamp.value
Out: 1470924597871000000
谢谢!只是找不到价值的文档 – ChromeHearts