Question

有些问题可以解决相同的错误TypeError: Timestamp subtraction must have the same timezones or no timezones，但是没有一个面临与此相同的问题。

我有2个UTC时间戳记，扣除后会抛出该错误。

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

编辑：我正在使用 Python 3.6.9 和 Pandas 1.0.1

Answer 1

检查时区类型后：type(date.tzinfo)给出<class 'datetime.timezone'>，而type(date2.tzinfo)给出<class 'pytz.UTC'>，因此，根据熊猫源代码，即使它们都是UTC，也不认为它们是相等的

因此解决方案是使它们具有相同的 tzinfo 类型（ pytz 或 datitme.timezone ）

这是Github中的未解决问题：https://github.com/pandas-dev/pandas/issues/32619

Answer 2

有同样的问题。如果您使用熊猫read_csv读取数据，它将使用<class 'pytz.UTC'>。因此，对我来说，解决方案是在各处简单地使用同一类。

示例代码生成错误

from datetime import datetime, timedelta, timezone
import pandas as pd

now = datetime.now(tz=timezone.utc)
some_time_ago = now - timedelta(7)

print('Timezone info before reading_csv')
print(some_time_ago.tzinfo, type(some_time_ago.tzinfo))

time_passed = now - some_time_ago
print (time_passed)

df = pd.DataFrame([some_time_ago], columns=['date'])
df.to_csv('dates.csv', index=False)

df2 = pd.read_csv('dates.csv', parse_dates=['date'])
print('\nTimezone info after reading_csv')
print(df2.iloc[0,0].tzinfo, type(df2.iloc[0,0].tzinfo))

now = datetime.now(tz=timezone.utc)
some_time_ago = now - df2.iloc[0,0]
print(some_time_ago)

Timezone info before reading_csv
UTC <class 'datetime.timezone'>
7 days, 0:00:00

Timezone info after reading_csv
UTC <class 'pytz.UTC'>
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-23-b2815e32e8b7> in <module>
     19 
     20 now = datetime.now(tz=timezone.utc)
---> 21 some_time_ago = now - df2.iloc[0,0]
     22 print(some_time_ago)

pandas/_libs/tslibs/c_timestamp.pyx in pandas._libs.tslibs.c_timestamp._Timestamp.__sub__()

TypeError: Timestamp subtraction must have the same timezones or no timezones

使用pytz修改代码

import pytz
from datetime import datetime, timedelta
import pandas as pd

now = datetime.now(tz=pytz.UTC)
some_time_ago = now - timedelta(7)

print('Timezone info before reading_csv')
print(some_time_ago.tzinfo, type(some_time_ago.tzinfo))

time_passed = now - some_time_ago
print (time_passed)

df = pd.DataFrame([some_time_ago], columns=['date'])
df.to_csv('dates.csv', index=False)

df2 = pd.read_csv('dates.csv', parse_dates=['date'])
print('\nTimezone info after reading_csv')
print(df2.iloc[0,0].tzinfo, type(df2.iloc[0,0].tzinfo))

now = datetime.now(tz=pytz.UTC)
some_time_ago = now - df2.iloc[0,0]
print(some_time_ago)

Timezone info before reading_csv
UTC <class 'pytz.UTC'>
7 days, 0:00:00

Timezone info after reading_csv
UTC <class 'pytz.UTC'>
7 days 00:00:00.024021

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

2 个答案:

示例代码生成错误

使用pytz修改代码