ENH: Add use_nullable_dtypes and nullable_backend global option to read_orc #49827
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mroeschke added Enhancement IO Data 
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| A new global configuration, ``io.nullable_backend`` can now be used in conjunction with the parameter ``use_nullable_dtypes=True`` in :func:`read_parquet` and :func:`read_csv` (with ``engine="pyarrow"``) | ||
| A new global configuration, ``io.nullable_backend`` can now be used in conjunction with the parameter ``use_nullable_dtypes=True`` in :func:`read_parquet`, :func:`read_orc` and :func:`read_csv` (with ``engine="pyarrow"``) |
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Off-topic, but it seems read_excel supports use_nullable_dtypes but not io.nullable_backend. We should fix this.
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Good point. I'll add this in a follow up PR.
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| Currently only ``io.nullable_backend`` set to ``"pyarrow"`` is supported. |
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Do you intend to implement the flag for pandas as well?
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I would want to do this in a follow up PR (unless you're interested :) )
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No is fine, just wanted to understand if this is intended at all.
i want to tackle json and sql next
| "float": np.arange(4.0, 7.0, dtype="float64"), | ||
| "float_with_nan": [2.0, np.nan, 3.0], | ||
| "bool": [True, False, None], | ||
| "datetime": pd.date_range("20130101", periods=3), |
pandas/tests/io/test_orc.py Outdated
| ], | ||
| } | ||
| ) | ||
| bytes_data = df.to_orc() |
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Just to avoid something subtle: can you do df.copy().to… since you are using df below?
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Good idea. Added the copy
…ad_orc (pandas-dev#49827) * ENH: Add use_nullable_dtypes and nullable_backend to read_orc * Skip if not required pa version * Address review
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io.nullable_type="pandas"|"pyarrow"to control IO readeruse_nullable_dtype#48957 (Replace xxxx with the GitHub issue number)doc/source/whatsnew/vX.X.X.rstfile if fixing a bug or adding a new feature.Additionally