v1.1.0.rst

What's new in 1.1.0 (??)

These are the changes in pandas 1.1.0. See :ref:`release` for a full changelog including other versions of pandas.

{{ header }}

Enhancements

Nonmonotonic PeriodIndex Partial String Slicing

:class:`PeriodIndex` now supports partial string slicing for non-monotonic indexes, mirroring :class:`DatetimeIndex` behavior (:issue:`31096`)

For example:

.. ipython:: python

   dti = pd.date_range("2014-01-01", periods=30, freq="30D")
   pi = dti.to_period("D")
   ser_monotonic = pd.Series(np.arange(30), index=pi)
   shuffler = list(range(0, 30, 2)) + list(range(1, 31, 2))
   ser = ser_monotonic[shuffler]
   ser

.. ipython:: python

   ser["2014"]
   ser.loc["May 2015"]

Other enhancements

• :class:`Styler` may now render CSS more efficiently where multiple cells have the same styling (:issue:`30876`)

Other API changes

• :meth:`Series.describe` will now show distribution percentiles for datetime dtypes, statistics first and last will now be min and max to match with numeric dtypes in :meth:`DataFrame.describe` (:issue:`30164`)

Deprecations

Performance improvements

Bug fixes

Categorical

Datetimelike

• Bug in :class:`Timestamp` where constructing :class:`Timestamp` from ambiguous epoch time and calling constructor again changed :meth:`Timestamp.value` property (:issue:`24329`)
• :meth:`DatetimeArray.searchsorted`, :meth:`TimedeltaArray.searchsorted`, :meth:`PeriodArray.searchsorted` not recognizing non-pandas scalars and incorrectly raising ValueError instead of TypeError (:issue:`30950`)

Timedelta

Timezones

Numeric

Conversion

• Bug in :class:`Series` construction from NumPy array with big-endian datetime64 dtype (:issue:`29684`)

Strings

Interval

Indexing

• Bug in slicing on a :class:`DatetimeIndex` with a partial-timestamp dropping high-resolution indices near the end of a year, quarter, or month (:issue:`31064`)

Missing

MultiIndex

I/O

Plotting

• :func:`.plot` for line/bar now accepts color by dictonary (:issue:`8193`).

Groupby/resample/rolling

• Bug in :meth:`GroupBy.apply` raises ValueError when the by axis is not sorted and has duplicates and the applied func does not mutate passed in objects (:issue:`30667`)

Reshaping

• Bug in :meth:`DataFrame.pivot_table` when only MultiIndexed columns is set (:issue:`17038`)
• Bug in :meth:`DataFrame.unstack` and :meth:`Series.unstack` can take tuple names in MultiIndexed data (:issue:`19966`)
• Bug in :meth:`DataFrame.pivot_table` when margin is True and only column is defined (:issue:`31016`)
• Fix incorrect error message in :meth:`DataFrame.pivot` when columns is set to None. (:issue:`30924`)
• Bug in :func:`crosstab` when inputs are two Series and have tuple names, the output will keep dummy MultiIndex as columns. (:issue:`18321`)
• Bug in :func:`concat` where the resulting indices are not copied when copy=True (:issue:`29879`)

Sparse

ExtensionArray

Other

• Appending a dictionary to a :class:`DataFrame` without passing ignore_index=True will raise TypeError: Can only append a dict if ignore_index=True instead of TypeError: Can only append a Series if ignore_index=True or if the Series has a name (:issue:`30871`)

Contributors