ANN: Pandas 0.21.0 Released

[Tom Augspurger]

Hi,

I'm pleased to announce the availability pandas 0.21.0.

This is a major release from 0.20.3 and includes a number of API changes, deprecations, new features, enhancements, and performance improvements along with a large number of bug fixes. We recommend that all users upgrade to this version.

Highlights include:

- Integration with Apache Parquet, including a new top-level read_parquet function and a DataFrame.to_parquet method, see here.

- New user-facing dtype pandas.api.types.CategoricalDtype for specifying categoricals independent of the data, see here.

- The behavior of sum and prod on all-NaN Series/DataFrames is now consistent and no longer depends on whether bottleneck is installed, see here.

- Compatibility fixes for pypy, see here.

- Additions to the drop, reindex, and rename API to make them more consistent, see here

- Addition of the new methods DataFrame.infer_objects (see here) and GroupBy.pipe (see here).

- Indexing with a list of labels, where one or more of the labels is missing, is deprecated and will raise a KeyError in a future version, see here.

Check the whatsnew for detailed changes, including backwards incompatible changes and deprecations. Please report any issues you find on the pandas issue tracker.

Binary packages will be available in the defaults and conda-forge channels shortly.

conda install pandas

Wheels and a source distribution are available on PyPI.

pip install --upgrade pip setuptools
pip install --upgrade --upgrade-strategy=only-if-needed pandas







Tom