在pandas.date_range中使用zoneinfo

Question

我正在尝试使用zoneinfo而不是pytz。我遇到了一个问题，使用zoneinfo启动日期并将其传递给pd.date_range。

下面是使用pytz和zoneinfo进行完全相同操作的一个示例。但是，当将它传递给pd.date_range时，后者会出现错误。

pytz示例：

start_date = datetime(2021, 1, 1, 0, 0, 0)end_date = datetime(2024, 1, 1, 0, 0, 0) # exclusive end range

pt = pytz.timezone('Canada/Pacific')start_date = pt.localize(start_date)end_date = pt.localize(end_date)

pd.date_range(start_date, end_date-timedelta(days=1), freq='d')

zoneinfo示例：

start_date1 = '2021-01-01 00:00:00

start_date1 = datetime.strptime(start_date1, '%Y-%m-%d %H:%M:%S').replace(microsecond=0, second=0, minute=0, tzinfo=ZoneInfo("America/Vancouver"))end_date1 = start_date1 + relativedelta(years=3)

pd.date_range(start_date1, end_date1-timedelta(days=1), freq='d')

然而，当使用zoneinfo时，我会得到以下错误：

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
~/Documents/GitHub/virtual/lib/python3.9/site-packages/pandas/_libs/tslibs/timezones.pyx in pandas._libs.tslibs.timezones.get_dst_info()

AttributeError: 'NoneType' object has no attribute 'total_seconds'

Exception ignored in: 'pandas._libs.tslibs.tzconversion.tz_convert_from_utc_single'
Traceback (most recent call last):
  File "pandas/_libs/tslibs/timezones.pyx", line 266, in pandas._libs.tslibs.timezones.get_dst_info
AttributeError: 'NoneType' object has no attribute 'total_seconds'
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
~/Documents/GitHub/virtual/lib/python3.9/site-packages/pandas/_libs/tslibs/timezones.pyx in pandas._libs.tslibs.timezones.get_dst_info()

AttributeError: 'NoneType' object has no attribute 'total_seconds'

Exception ignored in: 'pandas._libs.tslibs.tzconversion.tz_convert_from_utc_single'
Traceback (most recent call last):
  File "pandas/_libs/tslibs/timezones.pyx", line 266, in pandas._libs.tslibs.timezones.get_dst_info
AttributeError: 'NoneType' object has no attribute 'total_seconds'
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/var/folders/vp/7ptlp5l934vdh1lvmpgk4qyc0000gn/T/ipykernel_67190/3566591779.py in <module>
      5 end_date1 = start_date1 + relativedelta(years=3)
      6 
----> 7 pd.date_range(start_date1, end_date1-timedelta(days=1), freq='d')
      8 
      9 # Because certain distributions will be a result of combined distributions,

~/Documents/GitHub/virtual/lib/python3.9/site-packages/pandas/core/indexes/datetimes.py in date_range(start, end, periods, freq, tz, normalize, name, closed, **kwargs)
   1095         freq = "D"
   1096 
-> 1097     dtarr = DatetimeArray._generate_range(
   1098         start=start,
   1099         end=end,

~/Documents/GitHub/virtual/lib/python3.9/site-packages/pandas/core/arrays/datetimes.py in _generate_range(cls, start, end, periods, freq, tz, normalize, ambiguous, nonexistent, closed)
    450 
    451             if tz is not None and index.tz is None:
--> 452                 arr = tzconversion.tz_localize_to_utc(
    453                     index.asi8, tz, ambiguous=ambiguous, nonexistent=nonexistent
    454                 )

~/Documents/GitHub/virtual/lib/python3.9/site-packages/pandas/_libs/tslibs/tzconversion.pyx in pandas._libs.tslibs.tzconversion.tz_localize_to_utc()

~/Documents/GitHub/virtual/lib/python3.9/site-packages/pandas/_libs/tslibs/timezones.pyx in pandas._libs.tslibs.timezones.get_dst_info()

AttributeError: 'NoneType' object has no attribute 'total_seconds'

测试参数：

start_date==start_date1

和

end_date==end_date1两个测试的结果都是True。

Answer 1

如果正确理解，您希望使用ZoneInfo…创建一个日期范围(1Dfreq)如果正确的话，我看到你的代码发生了一些变化。

#1在处理datetimes时，请确保对象是正确的dtype。我相信datetime64格式会更好。

从提供代码中，我认为不需要‘strptime’或‘替换’。要访问ZoneInfo中的“美国/温哥华”，您可以将start_date1解析为几年、几个月、几天、几个小时和几分钟。

3解析start_date1时，可以添加3到年份(或其他数字)来创建结束日期。

以上内容将在指定的范围内创建一个DatetimeIndex。

吃饭总是很棘手的。和往常一样，您可以使用不同的路径(…)到达同一个目的地。这只是其中之一。

start_date_str = '2021-01-01 00:00:00'
start_date_datetime64 = pd.to_datetime(start_date_str) # change dtype  to datetime64

year = start_date_datetime64.year
month = start_date_datetime64.month
day = start_date_datetime64.day
hour = start_date_datetime64.hour
minute = start_date_datetime64.minute

start_date_formatted = dt.datetime(year, month, day, hour, minute, tzinfo=ZoneInfo("America/Vancouver"))
end_date_formatted = dt.datetime(year + 3, month, day, hour, minute, tzinfo=ZoneInfo("America/Vancouver"))

result = pd.date_range(start_date_formatted, end_date_formatted-pd.Timedelta(days=1), freq='d')

输出- DatetimeIndex，dtype='datetime64ns，America/温哥华‘，length=1095，freq='D')