These are the changes in pandas 1.1.3. See :ref:`release` for a full changelog including other versions of pandas.
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pandas 1.1.3 now supports Python 3.9 (:issue:`36296`).
- The minimum version of Cython is now the most recent bug-fix version (0.29.21) (:issue:`36296`).
- Fixed regression in :meth:`DataFrame.agg`, :meth:`DataFrame.apply`, :meth:`Series.agg`, and :meth:`Series.apply` where internal suffix is exposed to the users when no relabelling is applied (:issue:`36189`)
- Fixed regression in :class:`IntegerArray` unary plus and minus operations raising a
TypeError
(:issue:`36063`) - Fixed regression when adding a :meth:`timedelta_range` to a :class:`Timestamp` raised a
ValueError
(:issue:`35897`) - Fixed regression in :meth:`Series.__getitem__` incorrectly raising when the input was a tuple (:issue:`35534`)
- Fixed regression in :meth:`Series.__getitem__` incorrectly raising when the input was a frozenset (:issue:`35747`)
- Fixed regression in modulo of :class:`Index`, :class:`Series` and :class:`DataFrame` using
numexpr
using C not Python semantics (:issue:`36047`, :issue:`36526`) - Fixed regression in :meth:`read_excel` with
engine="odf"
causedUnboundLocalError
in some cases where cells had nested child nodes (:issue:`36122`, :issue:`35802`) - Fixed regression in :meth:`DataFrame.replace` inconsistent replace when using a float in the replace method (:issue:`35376`)
- Fixed regression in :meth:`Series.loc` on a :class:`Series` with a :class:`MultiIndex` containing :class:`Timestamp` raising
InvalidIndexError
(:issue:`35858`) - Fixed regression in :class:`DataFrame` and :class:`Series` comparisons between numeric arrays and strings (:issue:`35700`, :issue:`36377`)
- Fixed regression in :meth:`DataFrame.apply` with
raw=True
and user-function returning string (:issue:`35940`) - Fixed regression when setting empty :class:`DataFrame` column to a :class:`Series` in preserving name of index in frame (:issue:`36527`)
- Fixed regression in :class:`Period` incorrect value for ordinal over the maximum timestamp (:issue:`36430`)
- Fixed regression in :func:`read_table` raised
ValueError
whendelim_whitespace
was set toTrue
(:issue:`35958`) - Fixed regression in :meth:`Series.dt.normalize` when normalizing pre-epoch dates the result was shifted one day (:issue:`36294`)
- Bug in :func:`read_spss` where passing a
pathlib.Path
aspath
would raise aTypeError
(:issue:`33666`) - Bug in :meth:`Series.str.startswith` and :meth:`Series.str.endswith` with
category
dtype not propagatingna
parameter (:issue:`36241`) - Bug in :class:`Series` constructor where integer overflow would occur for sufficiently large scalar inputs when an index was provided (:issue:`36291`)
- Bug in :meth:`DataFrame.sort_values` raising an
AttributeError
when sorting on a key that casts column to categorical dtype (:issue:`36383`) - Bug in :meth:`DataFrame.stack` raising a
ValueError
when stacking :class:`MultiIndex` columns based on position when the levels had duplicate names (:issue:`36353`) - Bug in :meth:`Series.astype` showing too much precision when casting from
np.float32
to string dtype (:issue:`36451`) - Bug in :meth:`Series.isin` and :meth:`DataFrame.isin` when using
NaN
and a row length above 1,000,000 (:issue:`22205`) - Bug in :func:`cut` raising a
ValueError
when passed a :class:`Series` of labels withordered=False
(:issue:`36603`)
- Reverted enhancement added in pandas-1.1.0 where :func:`timedelta_range` infers a frequency when passed
start
,stop
, andperiods
(:issue:`32377`)
.. contributors:: v1.1.2..v1.1.3