时间戳减法必须具有相同的时区或没有时区，但它们都是 UTC [英] Timestamp subtraction must have the same timezones or no timezones but they are both UTC

问题描述

有些问题解决了相同的错误TypeError:时间戳减法必须具有相同的时区或没有时区，但没有一个问题与此相同.

There are questions that addresses the same error TypeError: Timestamp subtraction must have the same timezones or no timezones but none faces the same issue as this one.

我有 2 个 UTC 时间戳，在减去时会抛出该错误.

I have 2 UTC Timestamps that throw that error when substracted.

print(date, type(date), date.tzinfo)
>>> 2020-07-17 00:00:00+00:00 <class 'pandas._libs.tslibs.timestamps.Timestamp'> UTC
print(date2, type(date2), date2.tzinfo)
>>> 2020-04-06 00:00:00.000000001+00:00 <class 'pandas._libs.tslibs.timestamps.Timestamp'> UTC
date - date2
>>> TypeError: Timestamp subtraction must have the same timezones or no timezones

我正在使用 Python 3.6.9 和 Pandas 1.0.1

推荐答案

检查时区类型后: type(date.tzinfo) 给出 和 type(date2.tzinfo) 给出了 所以根据 pandas 源代码，它们不被认为是相等的，即使它们都是 UTC.

After checking the timezone types: type(date.tzinfo) gives <class 'datetime.timezone'> and type(date2.tzinfo) gives <class 'pytz.UTC'> so acording of pandas source code they are not considered equal even even if they are both UTC.

所以解决方案是让它们具有相同的 tzinfo 类型(pytz 或 datitme.timezone)

So the solution was to make them have the same tzinfo type (either pytz or datitme.timezone)

这是 Github 中的一个开放问题:https://github.com/pandas-dev/pandas/issues/32619

This is an open issue in Github: https://github.com/pandas-dev/pandas/issues/32619

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