Warning
Starting with the 0.25.x series of releases, pandas only supports Python 3.5.3 and higher. See :ref:`install.dropping-27` for more details.
Warning
The minimum supported Python version will be bumped to 3.6 in a future release.
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These are the changes in pandas 1.0.0. See :ref:`release` for a full changelog including other versions of pandas.
- :class:`pandas.core.groupby.GroupBy.transform` now raises on invalid operation names (:issue:`27489`).
- :func:`pandas.json_normalize` is now exposed in the top-level namespace. Usage of :func:`json_normalize` as :func:`pandas.io.json.json_normalize` is now deprecated and it is recommended to use :func:`json_normalize` as :func:`pandas.json_normalize` instead. (:issue:`27586`)
- Removed the previously deprecated :meth:`Series.get_value`, :meth:`Series.set_value`, :meth:`DataFrame.get_value`, :meth:`DataFrame.set_value` (:issue:`17739`)
- Performance improvement in indexing with a non-unique :class:`IntervalIndex` (:issue:`27489`)
- Performance improvement in MultiIndex.is_monotonic (:issue:`27495`)
- Bug in :meth:`Series.__setitem__` incorrectly casting
np.timedelta64("NaT")tonp.datetime64("NaT")when inserting into a :class:`Series` with datetime64 dtype (:issue:`27311`) - Bug in :meth:`Series.dt` property lookups when the underlying data is read-only (:issue:`27529`)
- Bug in :meth:`DataFrame.quantile` with zero-column :class:`DataFrame` incorrectly raising (:issue:`23925`)