(fix): don't handle time-dtypes as extension arrays in from_dataframe
#9042
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Aloqeely
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May 24, 2024
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@dcherian could you review? |
dcherian
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Jun 11, 2024
dcherian
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Jun 13, 2024
* upstream/main: [skip-ci] Try fixing hypothesis CI trigger (pydata#9112) Undo custom padding-top. (pydata#9107) add remaining core-dev citations [skip-ci][skip-rtd] (pydata#9110) Add user survey announcement to docs (pydata#9101) skip the `pandas` datetime roundtrip test with `pandas=3.0` (pydata#9104) Adds Matt Savoie to CITATION.cff (pydata#9103) [skip-ci] Fix skip-ci for hypothesis (pydata#9102) open_datatree performance improvement on NetCDF, H5, and Zarr files (pydata#9014) Migrate datatree io.py and common.py into xarray/core (pydata#9011) Micro optimizations to improve indexing (pydata#9002) (fix): don't handle time-dtypes as extension arrays in `from_dataframe` (pydata#9042)
andersy005
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Jun 14, 2024
…e` (#9042) * (fix): don't handle time-dtypes as extension arrays * (fix): check series type * Add whats-new --------- Co-authored-by: Deepak Cherian <[email protected]> Co-authored-by: Deepak Cherian <[email protected]>
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This is probably the simplest way to fix the bug but I now have many questions about
PandasIndexingAdapter. I initially attempted to make datetime dtypes go intoExtensionArray(because they are extension arrays) but there are so many tests with behavior that I don't understand that this seemed easier. Primarily, my issue with doing that wasn't that the tests broke in a way that was "this behavior doesn't make sense" but rather "this behavior makes more sense than what the test expects" i.e., there were a number of places where tests expect datetime dtypes to not be preserved, but they are preserved by usingExtensionArray. But I don't understand why certain things are expected or not. For example:xarray/xarray/tests/test_variable.py
Lines 2967 to 2968 in 026aa7c
became a condition that expected the
dtypebe preserved and not just blanket converting everything tonp.dtype("datetime64[ns]")i.e., thedtypeonvarremainedpd.DatetimeTZDtype("s", pytz.timezone("America/New_York"))whats-new.rstapi.rst