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INT: support DatetimeBlock with timezones #8260
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jreback
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Internals
Related to non-user accessible pandas implementation
Timezones
Timezone data dtype
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Sep 12, 2014
Closed
@jreback I think this affects https://github.com/quantopian/zipline in a pretty significant way. What's involved in implementing this? |
what do u mean significant way? |
meaning, we do a lot of operations on timezone-aware datetime data in pandas, and from reading #10192 it looks like that has a nontrivial performance impact. |
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fix scalar comparisons vs None generally fix NaT formattting in Series TST: skip postgresql test with tz's update for msgpack Conflicts: pandas/core/base.py pandas/core/categorical.py pandas/core/format.py pandas/tests/test_base.py pandas/util/testing.py full interop for tz-aware Series & timedeltas pandas-dev#10763
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fix scalar comparisons vs None generally fix NaT formattting in Series TST: skip postgresql test with tz's update for msgpack Conflicts: pandas/core/base.py pandas/core/categorical.py pandas/core/format.py pandas/tests/test_base.py pandas/util/testing.py full interop for tz-aware Series & timedeltas pandas-dev#10763
nickeubank
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fix scalar comparisons vs None generally fix NaT formattting in Series TST: skip postgresql test with tz's update for msgpack Conflicts: pandas/core/base.py pandas/core/categorical.py pandas/core/format.py pandas/tests/test_base.py pandas/util/testing.py full interop for tz-aware Series & timedeltas pandas-dev#10763
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to allow real support / conversions of timezone aware Series.
xref #9560;
DatetimeIndex.to_series()
can be changed to preserve the tz alwaysThe text was updated successfully, but these errors were encountered: