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I would expect the dtype for a TIMESTAMP column to be time zone aware.
In [1]: import pandas_gbq In [2]: df = pandas_gbq.read_gbq('SELECT TIMESTAMP("2004-09-15 05:00:00") AS valid_timestamp') In [3]: df.dtypes Out[3]: valid_timestamp datetime64[ns] dtype: object
Note: I believe the behavior used to be correct (include the timezone). NumPy 1.11 stopped defaulting to UTC and instead uses a naive datetime.
Related: see #69 for support for DATETIME columns (which do expect a naive datetime).
The text was updated successfully, but these errors were encountered:
Fixed by #269
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I would expect the dtype for a TIMESTAMP column to be time zone aware.
Note: I believe the behavior used to be correct (include the timezone). NumPy 1.11 stopped defaulting to UTC and instead uses a naive datetime.
Related: see #69 for support for DATETIME columns (which do expect a naive datetime).
The text was updated successfully, but these errors were encountered: