API: read_stata with index_col=None should return RangeIndex #49745
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mroeschke
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Nov 17, 2022
mroeschke
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Nov 17, 2022
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mroeschke
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Nov 17, 2022
doc/source/whatsnew/v2.0.0.rst
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| @@ -340,6 +340,7 @@ Other API changes | |||
| - Passing strings that cannot be parsed as datetimes to :class:`Series` or :class:`DataFrame` with ``dtype="datetime64[ns]"`` will raise instead of silently ignoring the keyword and returning ``object`` dtype (:issue:`24435`) | |||
| - Passing a sequence containing a type that cannot be converted to :class:`Timedelta` to :func:`to_timedelta` or to the :class:`Series` or :class:`DataFrame` constructor with ``dtype="timedelta64[ns]"`` or to :class:`TimedeltaIndex` now raises ``TypeError`` instead of ``ValueError`` (:issue:`49525`) | |||
| - Changed behavior of :class:`Index` constructor with sequence containing at least one ``NaT`` and everything else either ``None`` or ``NaN`` to infer ``datetime64[ns]`` dtype instead of ``object``, matching :class:`Series` behavior (:issue:`49340`) | |||
| - If no parameter ``index_col`` is given to :func:`read_stata`, the index will be a :class:`RangeIndex` Previously the index would have been a :class:`Int64Index` (:issue:`49745`) | |||
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I think the Performance improvement note can be used instead of this one
mroeschke
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Nov 17, 2022
doc/source/whatsnew/v2.0.0.rst
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| @@ -594,6 +595,7 @@ Performance improvements | |||
| - Memory improvement in :meth:`RangeIndex.sort_values` (:issue:`48801`) | |||
| - Performance improvement in :class:`DataFrameGroupBy` and :class:`SeriesGroupBy` when ``by`` is a categorical type and ``sort=False`` (:issue:`48976`) | |||
| - Performance improvement in :class:`DataFrameGroupBy` and :class:`SeriesGroupBy` when ``by`` is a categorical type and ``observed=False`` (:issue:`49596`) | |||
| - Performance improvement in :func:`read_stata` with parameter ``index_col`` set to ``None``(the default). Now the index will be a :class:`RangeIndex` instead of :class:`Int64Index` (:issue:`49745`) | |||
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I think the docbuild is complaining about this line
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Updated. |
mroeschke
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Nov 18, 2022
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Thanks @topper-123 |
twoertwein
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Nov 20, 2022
…dev#49745) * API: read_stata with index_col=None return RangeIndex * fix comments * fix comments II Co-authored-by: Terji Petersen <terjipetersen@Terjis-MacBook-Air.local> Co-authored-by: Terji Petersen <terjipetersen@Terjis-Air.fritz.box>
mliu08
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Nov 27, 2022
…dev#49745) * API: read_stata with index_col=None return RangeIndex * fix comments * fix comments II Co-authored-by: Terji Petersen <terjipetersen@Terjis-MacBook-Air.local> Co-authored-by: Terji Petersen <terjipetersen@Terjis-Air.fritz.box>
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If
read_statawas used with parameterindex=None, an index based onnp.arangewas supplied to the constructed DataFrame, i.e. (pre pandas 2.0) anInt64Index.np.arangehas dtypenp.int_, i.e. likenp.intp, except is always 32bit on windows, which makes it annoying to use with tests when indexes can take all numpy numeric dtypes (like after #49560), so I'm looking into howarangeis used in #49560. One case I found it was used is inread_stataand in that case it's better to use arange, so we get aRangeIndexinstead of anIndex[int_]when usingread_stata(index_col=None).This is a slight change in API, so I separate it out into its own PR here, so #49560, which is a large Pr, can be as focused as possible.