时间戳字符串（Unix 时间）到日期时间或 pandas.Timestamp

Question

我从来源检索了一些 JSON 格式的数据。我想将此数据（及时测量）保存为文本文件。我反复想去同一个来源，看看是否有新的测量可用，如果有，我想将它添加到其他测量中。

我得到的数据是这样的：

{"xyz":[{"unixtime":"1458255600","time":"00:00","day":"18\/03","value":"11","paramlabel":"30-500 mHz","popupcorr":"550","iconnr":"7","paramname":"30-500 mHz"},{"unixtime":"1458256200","time":"00:10","day":"18\/03","value":"14","paramlabel":"30-500 mHz","popupcorr":"550","iconnr":"7","paramname":"30-500 mHz"},etc.]}

我将此数据加载到 pandas DataFrame 中以便能够更轻松地使用它。但是，当我将其加载到数据框中时，所有列都被视为字符串。如何确保将 unixtime 列视为时间戳（以便我可以转换为日期时间）？

Answer 1

使用to_datetime and pass unit='s' to treat the value as epoch time after converting the dtype to int using astype:

df['unixtime'] = pd.to_datetime(df['unixtime'].astype(int), unit='s')

示例：

In [162]:
pd.to_datetime(1458255600, unit='s')

Out[162]:
Timestamp('2016-03-17 23:00:00')

时间戳字符串（Unix 时间）到日期时间或 pandas.Timestamp

timestamp string (Unix time) to datetime or pandas.Timestamp

python

datetime

timestamp

unix-timestamp

pandas