These are the changes in pandas 3.0.0. See :ref:`release` for a full changelog including other versions of pandas.
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- :func:`DataFrame.to_excel` now raises an
UserWarning
when the character count in a cell exceeds Excel's limitation of 32767 characters (:issue:`56954`) - :func:`read_stata` now returns
datetime64
resolutions better matching those natively stored in the stata format (:issue:`55642`)
These are bug fixes that might have notable behavior changes.
Some minimum supported versions of dependencies were updated. If installed, we now require:
Package | Minimum Version | Required | Changed |
---|---|---|---|
numpy | 1.23.5 | X | X |
For optional libraries the general recommendation is to use the latest version. The following table lists the lowest version per library that is currently being tested throughout the development of pandas. Optional libraries below the lowest tested version may still work, but are not considered supported.
Package | New Minimum Version |
---|---|
See :ref:`install.dependencies` and :ref:`install.optional_dependencies` for more.
- 3rd party
py.path
objects are no longer explicitly supported in IO methods. Use :py:class:`pathlib.Path` objects instead (:issue:`57091`) - :attr:`MultiIndex.codes`, :attr:`MultiIndex.levels`, and :attr:`MultiIndex.names` now returns a
tuple
instead of aFrozenList
(:issue:`53531`)
- Deprecated :meth:`Timestamp.utcfromtimestamp`, use
Timestamp.fromtimestamp(ts, "UTC")
instead (:issue:`56680`) - Deprecated :meth:`Timestamp.utcnow`, use
Timestamp.now("UTC")
instead (:issue:`56680`)
- All arguments except the first
path
-like argument in IO writers are now keyword only (:issue:`54229`) - Removed
DataFrameGroupBy.grouper
andSeriesGroupBy.grouper
(:issue:`56521`) - Removed
DataFrameGroupby.fillna
andSeriesGroupBy.fillna`
(:issue:`55719`) - Removed
Index.format
, use :meth:`Index.astype` withstr
or :meth:`Index.map` with aformatter
function instead (:issue:`55439`) - Removed
axis
argument from :meth:`DataFrame.groupby`, :meth:`Series.groupby`, :meth:`DataFrame.rolling`, :meth:`Series.rolling`, :meth:`DataFrame.resample`, and :meth:`Series.resample` (:issue:`51203`) - Removed
axis
argument from all groupby operations (:issue:`50405`) - Removed
pandas.api.types.is_interval
andpandas.api.types.is_period
, useisinstance(obj, pd.Interval)
andisinstance(obj, pd.Period)
instead (:issue:`55264`) - Removed
pandas.io.sql.execute
(:issue:`50185`) - Removed
pandas.value_counts
, use :meth:`Series.value_counts` instead (:issue:`53493`) - Removed
read_gbq
andDataFrame.to_gbq
. Usepandas_gbq.read_gbq
andpandas_gbq.to_gbq
instead https://pandas-gbq.readthedocs.io/en/latest/api.html (:issue:`55525`) - Removed deprecated argument
obj
in :meth:`.DataFrameGroupBy.get_group` and :meth:`.SeriesGroupBy.get_group` (:issue:`53545`) - Removed the
ArrayManager
(:issue:`55043`) - Removed the
is_boolean
,is_integer
,is_floating
,holds_integer
,is_numeric
,is_categorical
,is_object
, andis_interval
attributes of :class:`Index` (:issue:`50042`) - Removed unused arguments
*args
and**kwargs
in :class:`Resampler` methods (:issue:`50977`) - Unrecognized timezones when parsing strings to datetimes now raises a
ValueError
(:issue:`51477`)
- Performance improvement in :meth:`DataFrame.join` for sorted but non-unique indexes (:issue:`56941`)
- Performance improvement in :meth:`DataFrame.join` when left and/or right are non-unique and
how
is"left"
,"right"
, or"inner"
(:issue:`56817`) - Performance improvement in :meth:`DataFrame.join` with
how="left"
orhow="right"
andsort=True
(:issue:`56919`) - Performance improvement in :meth:`DataFrameGroupBy.ffill`, :meth:`DataFrameGroupBy.bfill`, :meth:`SeriesGroupBy.ffill`, and :meth:`SeriesGroupBy.bfill` (:issue:`56902`)
- Performance improvement in :meth:`Index.join` by propagating cached attributes in cases where the result matches one of the inputs (:issue:`57023`)
- Performance improvement in :meth:`Index.take` when
indices
is a full range indexer from zero to length of index (:issue:`56806`) - Performance improvement in :meth:`MultiIndex.equals` for equal length indexes (:issue:`56990`)
- Performance improvement in indexing operations for string dtypes (:issue:`56997`)
- Fixed bug in :meth:`DataFrame.join` inconsistently setting result index name (:issue:`55815`)
- Fixed bug in :meth:`Series.diff` allowing non-integer values for the
periods
argument. (:issue:`56607`)
- Bug in :func:`date_range` where the last valid timestamp would sometimes not be produced (:issue:`56134`)
- Bug in
np.matmul
with :class:`Index` inputs raising aTypeError
(:issue:`57079`)
- Bug in :meth:`Series.astype` might modify read-only array inplace when casting to a string dtype (:issue:`57212`)
- Bug in :meth:`Series.value_counts` would not respect
sort=False
for series havingstring
dtype (:issue:`55224`)
- Bug in :meth:`.DataFrameGroupBy.quantile` when
interpolation="nearest"
is inconsistent with :meth:`DataFrame.quantile` (:issue:`47942`) - Bug in :meth:`DataFrame.ewm` and :meth:`Series.ewm` when passed
times
and aggregation functions other than mean (:issue:`51695`) - Bug in :meth:`.DataFrameGroupBy.groups` and :meth:`.SeriesGroupby.groups` that would not respect groupby arguments
dropna
andsort
(:issue:`55919`, :issue:`56966`, :issue:`56851`) - Bug in :meth:`.DataFrameGroupBy.nunique` and :meth:`.SeriesGroupBy.nunique` would fail with multiple categorical groupings when
as_index=False
(:issue:`52848`) - Bug in :meth:`.DataFrameGroupBy.prod`, :meth:`.DataFrameGroupBy.any`, and :meth:`.DataFrameGroupBy.all` would result in NA values on unobserved groups; they now result in
1
,False
, andTrue
respectively (:issue:`55783`) - Bug in :meth:`.DataFrameGroupBy.value_counts` would produce incorrect results when used with some categorical and some non-categorical groupings and
observed=False
(:issue:`56016`)
- Fixed bug in :meth:`api.types.is_datetime64_any_dtype` where a custom :class:`ExtensionDtype` would return
False
for array-likes (:issue:`57055`)
- Bug in :meth:`DataFrame.where` where using a non-bool type array in the function would return a
ValueError
instead of aTypeError
(:issue:`56330`)