-
-
Notifications
You must be signed in to change notification settings - Fork 18.7k
Closed
Closed
Copy link
Labels
Arrowpyarrow functionalitypyarrow functionalityBlockerBlocking issue or pull request for an upcoming releaseBlocking issue or pull request for an upcoming releaseRegressionFunctionality that used to work in a prior pandas versionFunctionality that used to work in a prior pandas versionTimezonesTimezone data dtypeTimezone data dtype
Milestone
Description
Using the latest pandas:
In [6]: ser = pd.Series(pd.to_datetime(["2012-01-01", "2012-01-02"]).tz_localize("Europe/Brussels"))
In [7]: ser
Out[7]:
0 2012-01-01 00:00:00+01:00
1 2012-01-02 00:00:00+01:00
dtype: datetime64[ns, Europe/Brussels]
In [8]: pa.array(ser)
Out[8]:
<pyarrow.lib.TimestampArray object at 0x7f695b4625c0>
[
2011-12-31 23:00:00.000000000, # <-- those values show the UTC timestamps, so this is correct
2012-01-01 23:00:00.000000000
]
In [9]: ser.dtype.__from_arrow__(pa.array(ser))
Out[9]:
<DatetimeArray>
['2011-12-31 23:00:00+01:00', '2012-01-01 23:00:00+01:00'] # <-- still the UTC wall time, but with tz offset -> wrong
Length: 2, dtype: datetime64[ns, Europe/Brussels]
I assume this is caused by #56043 cc @jbrockmendel
Metadata
Metadata
Assignees
Labels
Arrowpyarrow functionalitypyarrow functionalityBlockerBlocking issue or pull request for an upcoming releaseBlocking issue or pull request for an upcoming releaseRegressionFunctionality that used to work in a prior pandas versionFunctionality that used to work in a prior pandas versionTimezonesTimezone data dtypeTimezone data dtype