如何在 Pandas DataFrame 中设置值的时区？
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How to set time zone of values in a Pandas DataFrame?
提问by Yariv
I'd like to set the time zone of the values of a column in a Pandas DataFrame. I am reading the DataFrame with pandas.read_csv().
我想设置 Pandas DataFrame 中列值的时区。我正在使用 pandas.read_csv() 读取 DataFrame。
回答by Andy Hayden
You can read dates as UTC directly from read_csvby setting the date_parserfunction manually, for example:
您可以read_csv通过date_parser手动设置函数来直接读取 UTC 日期，例如：
from dateutil.tz import tzutc
from dateutil.parser import parse
def date_utc(s):
return parse(s, tzinfos=tzutc)
df = read_csv('my.csv', parse_dates=[0], date_parser=date_utc)
.
.
If you are creating a timeseries, you can use the tzargument of date_range:
如果您要创建时间序列，则可以使用以下tz参数date_range：
dd = pd.date_range('2012-1-1 1:30', periods=3, freq='min', tz='UTC')
In [2]: dd
Out[2]:
<class 'pandas.tseries.index.DatetimeIndex'>
[2012-01-01 01:30:00, ..., 2012-01-01 01:32:00]
Length: 3, Freq: T, Timezone: UTC
.
.
If your DataFrame/Series is already index by a timeseries, you can use the tz_localizemethod to set a timezone:
如果您的 DataFrame/Series 已经由时间序列索引，则可以使用该tz_localize方法设置时区：
df.tz_localize('UTC')
or if it already has a timezone, use tz_convert:
或者如果它已经有时区，请使用tz_convert：
df.tz_convert('UTC')
回答by Martin Thoma
# core modules
from datetime import timezone, datetime
# 3rd party modules
import pandas as pd
import pytz
# create a dummy dataframe
df = pd.DataFrame({'date': [datetime(2018, 12, 30, 20 + i, 56)
for i in range(2)]},)
print(df)
# Convert the time to a timezone-aware datetime object
df['date'] = df['date'].dt.tz_localize(timezone.utc)
print(df)
# Convert the time from to another timezone
# The point in time does not change, only the associated timezone
my_timezone = pytz.timezone('Europe/Berlin')
df['date'] = df['date'].dt.tz_convert(my_timezone)
print(df)
gives
给
date
0 2018-12-30 20:56:00
1 2018-12-30 21:56:00
date
0 2018-12-30 20:56:00+00:00
1 2018-12-30 21:56:00+00:00
date
0 2018-12-30 21:56:00+01:00
1 2018-12-30 22:56:00+01:00
