[英]Pandas: converting to datetime with timezone name
I am trying to convert to datetime in pandas dataframe, where name of timezone is included.我正在尝试在 pandas dataframe 中转换为日期时间,其中包含时区名称。 I have tried the following but it yields an error:
我尝试了以下方法,但会产生错误:
d = {'col1': ['Sun Dec 31 00:00:00 EAT 1899', 'Mon Mar 02 00:00:00 EAT 2020']}
x = pd.DataFrame(data=d)
pd.to_datetime(x['col1'], format='%a %b %d %H:%M:%S %Z %Y', errors='coerce')
0 NaT
1 NaT
Name: col1, dtype: datetime64[ns]
Is there any way to convert to datetime this way?有没有办法以这种方式转换为日期时间? If not, how to ignore the timezone name?
如果没有,如何忽略时区名称?
you can use dateutil
:你可以使用
dateutil
:
import dateutil
print (x['col1'].apply(dateutil.parser.parse))
0 1899-12-31
1 2020-03-02
Name: col1, dtype: datetime64[ns]
or to ignore the part with the timezoen, something like:或忽略带有 timezoen 的部分,例如:
pd.to_datetime(x['col1'].str[:20] + x['col1'].str[24:])
but not sure if it is interesting但不确定是否有趣
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