v1.0.2.rst

What's new in 1.0.2 (March 12, 2020)

These are the changes in pandas 1.0.2. See :ref:`release` for a full changelog including other versions of pandas.

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Fixed regressions

Groupby

• Fixed regression in :meth:`.DataFrameGroupBy.agg` and :meth:`.SeriesGroupBy.agg` which were failing on frames with :class:`MultiIndex` columns and a custom function (:issue:`31777`)
• Fixed regression in groupby(..).rolling(..).apply() (RollingGroupby) where the raw parameter was ignored (:issue:`31754`)
• Fixed regression in :meth:`rolling(..).corr() <.Rolling.corr>` when using a time offset (:issue:`31789`)
• Fixed regression in :meth:`groupby(..).nunique() <.DataFrameGroupBy.nunique>` which was modifying the original values if NaN values were present (:issue:`31950`)
• Fixed regression in DataFrame.groupby raising a ValueError from an internal operation (:issue:`31802`)
• Fixed regression in :meth:`.DataFrameGroupBy.agg` and :meth:`.SeriesGroupBy.agg` calling a user-provided function an extra time on an empty input (:issue:`31760`)

I/O

• Fixed regression in :meth:`read_csv` in which the encoding option was not recognized with certain file-like objects (:issue:`31819`)
• Fixed regression in :meth:`DataFrame.to_excel` when the columns keyword argument is passed (:issue:`31677`)
• Fixed regression in :class:`ExcelFile` where the stream passed into the function was closed by the destructor. (:issue:`31467`)
• Fixed regression where :func:`read_pickle` raised a UnicodeDecodeError when reading a py27 pickle with :class:`MultiIndex` column (:issue:`31988`).

Reindexing/alignment

• Fixed regression in :meth:`Series.align` when other is a :class:`DataFrame` and method is not None (:issue:`31785`)
• Fixed regression in :meth:`DataFrame.reindex` and :meth:`Series.reindex` when reindexing with (tz-aware) index and method=nearest (:issue:`26683`)
• Fixed regression in :meth:`DataFrame.reindex_like` on a :class:`DataFrame` subclass raised an AssertionError (:issue:`31925`)
• Fixed regression in :class:`DataFrame` arithmetic operations with mis-matched columns (:issue:`31623`)

Other

• Fixed regression in joining on :class:`DatetimeIndex` or :class:`TimedeltaIndex` to preserve freq in simple cases (:issue:`32166`)
• Fixed regression in :meth:`Series.shift` with datetime64 dtype when passing an integer fill_value (:issue:`32591`)
• Fixed regression in the repr of an object-dtype :class:`Index` with bools and missing values (:issue:`32146`)

Indexing with nullable Boolean arrays

Previously indexing with a nullable Boolean array containing NA would raise a ValueError, however this is now permitted with NA being treated as False. (:issue:`31503`)

.. ipython:: python

    s = pd.Series([1, 2, 3, 4])
    mask = pd.array([True, True, False, None], dtype="boolean")
    s
    mask

pandas 1.0.0-1.0.1

>>> s[mask]
Traceback (most recent call last):
...
ValueError: cannot mask with array containing NA / NaN values

pandas 1.0.2

.. ipython:: python

    s[mask]

Bug fixes

Datetimelike

• Bug in :meth:`Series.astype` not copying for tz-naive and tz-aware datetime64 dtype (:issue:`32490`)
• Bug where :func:`to_datetime` would raise when passed pd.NA (:issue:`32213`)
• Improved error message when subtracting two :class:`Timestamp` that result in an out-of-bounds :class:`Timedelta` (:issue:`31774`)

Categorical

• Fixed bug where :meth:`Categorical.from_codes` improperly raised a ValueError when passed nullable integer codes. (:issue:`31779`)
• Fixed bug where :meth:`Categorical` constructor would raise a TypeError when given a numpy array containing pd.NA. (:issue:`31927`)
• Bug in :class:`Categorical` that would ignore or crash when calling :meth:`Series.replace` with a list-like to_replace (:issue:`31720`)

I/O

• Using pd.NA with :meth:`DataFrame.to_json` now correctly outputs a null value instead of an empty object (:issue:`31615`)
• Bug in :meth:`pandas.json_normalize` when value in meta path is not iterable (:issue:`31507`)
• Fixed pickling of pandas.NA. Previously a new object was returned, which broke computations relying on NA being a singleton (:issue:`31847`)
• Fixed bug in parquet roundtrip with nullable unsigned integer dtypes (:issue:`31896`).

Experimental dtypes

• Fixed bug in :meth:`DataFrame.convert_dtypes` for columns that were already using the "string" dtype (:issue:`31731`).
• Fixed bug in :meth:`DataFrame.convert_dtypes` for series with mix of integers and strings (:issue:`32117`)
• Fixed bug in :meth:`DataFrame.convert_dtypes` where BooleanDtype columns were converted to Int64 (:issue:`32287`)
• Fixed bug in setting values using a slice indexer with string dtype (:issue:`31772`)
• Fixed bug where :meth:`.DataFrameGroupBy.first`, :meth:`.SeriesGroupBy.first`, :meth:`.DataFrameGroupBy.last`, and :meth:`.SeriesGroupBy.last` would raise a TypeError when groups contained pd.NA in a column of object dtype (:issue:`32123`)
• Fixed bug where :meth:`DataFrameGroupBy.mean`, :meth:`DataFrameGroupBy.median`, :meth:`DataFrameGroupBy.var`, and :meth:`DataFrameGroupBy.std` would raise a TypeError on Int64 dtype columns (:issue:`32219`)

Strings

• Using pd.NA with :meth:`Series.str.repeat` now correctly outputs a null value instead of raising error for vector inputs (:issue:`31632`)

Rolling

• Fixed rolling operations with variable window (defined by time duration) on decreasing time index (:issue:`32385`).

Contributors

.. contributors:: v1.0.1..v1.0.2