These are the changes in pandas 1.3.0. See :ref:`release` for a full changelog including other versions of pandas.
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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 | 1.16.5 | X | |
| pytz | 2017.3 | X | |
| python-dateutil | 2.7.3 | X | |
| bottleneck | 1.2.1 | ||
| numexpr | 2.6.8 | ||
| pytest (dev) | 5.0.1 | ||
| mypy (dev) | 0.782 |
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 | Minimum Version | Changed |
|---|---|---|
| beautifulsoup4 | 4.6.0 | |
| fastparquet | 0.3.2 | |
| fsspec | 0.7.4 | |
| gcsfs | 0.6.0 | |
| lxml | 4.3.0 | |
| matplotlib | 2.2.3 | |
| numba | 0.46.0 | |
| openpyxl | 2.6.0 | |
| pyarrow | 0.15.0 | |
| pymysql | 0.7.11 | |
| pytables | 3.5.1 | |
| s3fs | 0.4.0 | |
| scipy | 1.2.0 | |
| sqlalchemy | 1.2.8 | |
| tabulate | 0.8.7 | X |
| xarray | 0.12.0 | |
| xlrd | 1.2.0 | |
| xlsxwriter | 1.0.2 | |
| xlwt | 1.3.0 | |
| pandas-gbq | 0.12.0 |
See :ref:`install.dependencies` and :ref:`install.optional_dependencies` for more.
- Bug in :class:`DataFrame` and :class:`Series` constructors sometimes dropping nanoseconds from :class:`Timestamp` (resp. :class:`Timedelta`)
data, withdtype=datetime64[ns](resp.timedelta64[ns]) (:issue:`38032`)
- Bug in :meth:`DataFrame.quantile`, :meth:`DataFrame.sort_values` causing incorrect subsequent indexing behavior (:issue:`38351`)
- Bug in :meth:`CategoricalIndex.get_indexer` failing to raise
InvalidIndexErrorwhen non-unique (:issue:`38372`) - Bug in inserting many new columns into a :class:`DataFrame` causing incorrect subsequent indexing behavior (:issue:`38380`)
- Bug in :meth:`DataFrame.iloc.__setitem__` and :meth:`DataFrame.loc.__setitem__` with mixed dtypes when setting with a dictionary value (:issue:`38335`)
- Bug in :func:`read_csv` raising
IndexErrorwith multiple header columns andindex_colspecified when file has no data rows (:issue:`38292`) - Bug in :func:`read_csv` raising
TypeErrorwhennamesandparse_datesis specified forengine="c"(:issue:`33699`)