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Title:
pandas.Series.to_json() incorrectly localizes tz-naive datetimes to UTC · Issue #38760 · pandas-dev/pandas
Description:
Seemingly related but not identical to #12997 How to reproduce the bug Checked with pandas 0.24.2, 1.1.5 and 1.2.0. import pandas as pd index = pd.date_range( start='2020-12-28 00:00:00', e...
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Keywords {🔍}
utc, datetimes, tznaive, simplydac, tojson, issue, pandasseriestojson, localizes, bug, lithomas, sign, pandas, incorrectly, jreback, converts, encoding, iso, formatted, pdtimestamp, added, mentioned, projects, closed, related, identical, commented, timezone, navigation, pull, requests, actions, security, seemingly, import, output, author, present, subject, mentions, tzaware, timestamps, json, readjson, jsonnormalize, timezones, data, dtype, account, naive, milestone,
Topics {✒️}
/pandas-dev/pandas/blob/v1 tz-naive timestamps simplydac edits author lithomas1 mentioned activity simplydac changed compare tz-aware 0/pandas/core/generic personal information pandas run sphinx-build data=range tz-aware timestamp modified doc/make tz-naive type projects present issue bug checked projects milestone 1 naive dates date_format='iso' import pandas calls pandas mention pandas io json bug index=index related make sens indicating utc utc stamps issue freq='1h' plainly incorrect 2nd comparison bad serialization 100% complete relationships pd pd 5 closed to_json converts to_json + isoformat pandas 0 pandas expected output '{ //github github utc py = pd == pd to_json
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- Besides, the 2nd comparison above should throw an exception (does it make sens to compare tz-aware with tz-naive?
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DiscussionForumPosting:
context:https://schema.org
headline:pandas.Series.to_json() incorrectly localizes tz-naive datetimes to UTC
articleBody:Seemingly related but not identical to #12997
## How to reproduce the bug
Checked with pandas 0.24.2, 1.1.5 and 1.2.0.
```
import pandas as pd
index = pd.date_range(
start='2020-12-28 00:00:00',
end='2020-12-28 02:00:00',
freq='1H',
)
a = pd.Series(
data=range(3),
index=index,
)
a.to_json(date_format='iso')
```
## Output
```
'{"2020-12-28T00:00:00.000Z":0,"2020-12-28T01:00:00.000Z":1,"2020-12-28T02:00:00.000Z":2}'
```
(Notice the "Z" indicating UTC)
## Expected output
```
'{"2020-12-28T00:00:00.000":0,"2020-12-28T01:00:00.000":1,"2020-12-28T02:00:00.000":2}'
```
(without "Z")
author:
url:https://github.com/simplydac
type:Person
name:simplydac
datePublished:2020-12-28T21:21:49.000Z
interactionStatistic:
type:InteractionCounter
interactionType:https://schema.org/CommentAction
userInteractionCount:3
url:https://github.com/38760/pandas/issues/38760
context:https://schema.org
headline:pandas.Series.to_json() incorrectly localizes tz-naive datetimes to UTC
articleBody:Seemingly related but not identical to #12997
## How to reproduce the bug
Checked with pandas 0.24.2, 1.1.5 and 1.2.0.
```
import pandas as pd
index = pd.date_range(
start='2020-12-28 00:00:00',
end='2020-12-28 02:00:00',
freq='1H',
)
a = pd.Series(
data=range(3),
index=index,
)
a.to_json(date_format='iso')
```
## Output
```
'{"2020-12-28T00:00:00.000Z":0,"2020-12-28T01:00:00.000Z":1,"2020-12-28T02:00:00.000Z":2}'
```
(Notice the "Z" indicating UTC)
## Expected output
```
'{"2020-12-28T00:00:00.000":0,"2020-12-28T01:00:00.000":1,"2020-12-28T02:00:00.000":2}'
```
(without "Z")
author:
url:https://github.com/simplydac
type:Person
name:simplydac
datePublished:2020-12-28T21:21:49.000Z
interactionStatistic:
type:InteractionCounter
interactionType:https://schema.org/CommentAction
userInteractionCount:3
url:https://github.com/38760/pandas/issues/38760
Person:
url:https://github.com/simplydac
name:simplydac
url:https://github.com/simplydac
name:simplydac
InteractionCounter:
interactionType:https://schema.org/CommentAction
userInteractionCount:3
interactionType:https://schema.org/CommentAction
userInteractionCount:3
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