pandas - Pandas 2.3.2

We are pleased to announce the release of pandas 2.3.2. This release includes some improvements and fixes to the future string data type (preview feature for the upcoming pandas 3.0). We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.3.2 supports Python 3.9 and higher.

The release will be available on the conda-forge channel:

conda install pandas --channel conda-forge

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by jorisvandenbossche 6 months ago

pandas - Pandas 2.3.1

We are pleased to announce the release of pandas 2.3.1. This release includes some improvements and fixes to the future string data type (preview feature for the upcoming pandas 3.0). We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.3.1 supports Python 3.9 and higher.

The release will be available on the conda-forge channel:

conda install pandas --channel conda-forge

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by jorisvandenbossche 8 months ago

pandas - Pandas 2.3.0

We are pleased to announce the release of pandas 2.3.0. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.3.0 supports Python 3.10 and higher.

The release will be available on the defaults and conda-forge channels:

conda install -c conda-forge pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by mroeschke 9 months ago

pandas - Pandas 2.2.3

We are pleased to announce the release of pandas 2.2.3. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.2.3 supports Python 3.9 and higher.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by lithomas1 over 1 year ago

pandas - Pandas 2.2.2

We are pleased to announce the release of pandas 2.2.2. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.2.2 supports Python 3.9 and higher.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by lithomas1 almost 2 years ago

pandas - Pandas 2.2.1

We are pleased to announce the release of pandas 2.2.1. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.2.1 supports Python 3.9 and higher.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by lithomas1 about 2 years ago

pandas - Pandas 2.2.0

We are pleased to announce the release of pandas 2.2.0. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.2.0 supports Python 3.9 and higher.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by lithomas1 about 2 years ago

pandas - Pandas 2.2.0rc0

We are pleased to announce a release candidate for pandas 2.2.0. If all goes well, we'll release pandas 2.2.0 in about two weeks.

See the whatsnew for a list of all the changes.

The release will be available on conda-forge and PyPI.

The release can be installed from PyPI

python -m pip install --upgrade --pre pandas==2.2.0rc0 Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==2.2.0rc0 Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by lithomas1 about 2 years ago

pandas - Pandas 2.1.4

This is a patch release in the 2.1.x series and includes some regression and bug fixes, and a security fix. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by lithomas1 about 2 years ago

pandas - Pandas 2.1.3

This is a patch release in the 2.1.x series and includes some regression and bug fixes, and a security fix. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by jorisvandenbossche over 2 years ago

pandas - Pandas 2.1.2

This is a patch release in the 2.1.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by lithomas1 over 2 years ago

pandas - Pandas 2.1.1

This is a patch release in the 2.1.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by lithomas1 over 2 years ago

pandas - Pandas 2.1.0

We are pleased to announce the release of pandas 2.1.0. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.1.0 supports Python 3.9 and higher.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by lithomas1 over 2 years ago

pandas - Pandas 2.1.0rc0

We are pleased to announce a release candidate for pandas 2.1.0. If all goes well, we'll release pandas 2.1.0 in about two weeks.

See the whatsnew for a list of all the changes.

The release will be available on conda-forge and PyPI.

The release can be installed from PyPI

python -m pip install --upgrade --pre pandas==2.1.0rc0

Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==2.1.0rc0

Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by lithomas1 over 2 years ago

pandas - Pandas 2.0.3

This is a patch release in the 2.0.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas Or via PyPI:

python3 -m pip install --upgrade pandas Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by lithomas1 over 2 years ago

pandas - Pandas 2.0.2

This is a patch release in the 2.0.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by datapythonista almost 3 years ago

pandas - Pandas 2.0.1

This is a patch release in the 2.0.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by datapythonista almost 3 years ago

pandas - Pandas 2.0.0

We are pleased to announce the release of pandas 2.0.0, a major release from the pandas 1 series. This release includes some new features, bug fixes, and performance improvements, as well as possible breaking changes. It is recommended that users with existing code upgrade to pandas 1.5.3 before they upgrade to pandas 2, and make sure their code does not generate FutureWarning or DeprecationWarning messages.

See the whatsnew for a list of all the changes.

The release will be available on conda-forge and PyPI.

The release can be installed from PyPI

python -m pip install --upgrade pandas==2.0.0

Or from conda-forge

mamba install -c conda-forge pandas==2.0.0

Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by datapythonista almost 3 years ago

pandas - Pandas 2.0.0rc1

We are pleased to announce the second release candidate for pandas 2.0.0. If all goes well, we'll release pandas 2.0.0 in about two weeks.

See the whatsnew for a list of all the changes.

The release will be available on conda-forge and PyPI.

The release can be installed from PyPI

python -m pip install --upgrade --pre pandas==2.0.0rc1

Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==2.0.0rc1

Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by datapythonista almost 3 years ago

pandas - Pandas 2.0.0rc0

We are pleased to announce a release candidate for pandas 2.0.0. If all goes well, we'll release pandas 2.0.0 in about two weeks.

See the whatsnew for a list of all the changes.

The release will be available on conda-forge and PyPI.

The release can be installed from PyPI

python -m pip install --upgrade --pre pandas==2.0.0rc0

Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==2.0.0rc0

Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by datapythonista about 3 years ago

pandas - Pandas 1.5.3

This is a patch release in the 1.5.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by datapythonista about 3 years ago

pandas - Pandas 1.5.2

This is a patch release in the 1.5.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by datapythonista over 3 years ago

pandas - Pandas 1.5.1

This is a patch release in the 1.5.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by datapythonista over 3 years ago

pandas - Pandas 1.5.0

This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. pandas 1.5.0 supports Python 3.8 and higher.

The release will be available on the defaults and conda-forge channels:

conda install -c conda-forge pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by datapythonista over 3 years ago

pandas - Pandas 1.4.4

This is a patch release in the 1.4.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

- Python
Published by simonjayhawkins over 3 years ago

pandas - Pandas 1.5.0rc0

We are pleased to announce a release candidate for pandas 1.5.0. If all goes well, we'll release pandas 1.5.0 in about two weeks.

See the whatsnew for a list of all the changes.

The release will be available on conda-forge and PyPI.

The release can be installed from PyPI

python -m pip install --upgrade --pre pandas==1.5.0rc0

Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==1.5.0rc0

Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by simonjayhawkins over 3 years ago

pandas - Pandas 1.4.3

This is a patch release in the 1.4.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins over 3 years ago

pandas - Pandas 1.4.2

This is a patch release in the 1.4.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins almost 4 years ago

pandas - Pandas 1.4.1

This is the first patch release in the 1.4.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins about 4 years ago

pandas - Pandas 1.4.0

This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. pandas 1.4.0 supports Python 3.8 and higher.

The release will be available on the defaults and conda-forge channels:

conda install -c conda-forge pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins about 4 years ago

pandas - Pandas 1.4.0rc0

We are pleased to announce a release candidate for pandas 1.4.0. If all goes well, we'll release pandas 1.4.0 in about two weeks.

See the whatsnew for a list of all the changes. pandas 1.4.0 supports Python 3.8 and higher.

The release will be available on conda-forge and PyPI.

The release can be installed from PyPI

python -m pip install --upgrade --pre pandas==1.4.0rc0

Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==1.4.0rc0

Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by simonjayhawkins about 4 years ago

pandas - Pandas 1.3.5

This is a patch release in the 1.3.x series and includes some regression fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins about 4 years ago

pandas - Pandas 1.3.4

This is a patch release in the 1.3.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins over 4 years ago

pandas - Pandas 1.3.3

This is a patch release in the 1.3.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins over 4 years ago

pandas - Pandas 1.3.2

This is a patch release in the 1.3.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins over 4 years ago

pandas - Pandas 1.3.1

This is the first patch release in the 1.3.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins over 4 years ago

pandas - Pandas 1.3.0

This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install -c conda-forge pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins over 4 years ago

pandas - Pandas 1.2.5

This is a patch release in the 1.2.x series and includes some regression fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins over 4 years ago

pandas - Pandas 1.3.0rc1

We are pleased to announce a release candidate for pandas 1.3.0. If all goes well, we'll release pandas 1.3.0 in about two weeks.

See the whatsnew for a list of all the changes.

The release will be available on conda-forge and PyPI.

The release can be installed from PyPI

python -m pip install --upgrade --pre pandas==1.3.0rc1

Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==1.3.0rc1

Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by simonjayhawkins over 4 years ago

pandas - Pandas 1.2.4

This is a patch release in the 1.2.x series and includes some regression fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins almost 5 years ago

pandas - Pandas 1.2.3

This is a patch release in the 1.2.x series and includes some regression fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins almost 5 years ago

pandas - Pandas 1.2.2

This is a patch release in the 1.2.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins about 5 years ago

pandas - Pandas 1.2.1

This is the first patch release in the 1.2.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins about 5 years ago

pandas - Pandas 1.2.0

This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install -c conda-forge pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins about 5 years ago

pandas - Pandas 1.2.0rc0

This is the first release candidate for 1.2.0rc0. If all goes well, we'll release pandas 1.2.0 in about two weeks.

See the whatsnew for a list of all the changes.

The release can be installed from PyPI

python -m pip install --upgrade --pre pandas==1.2.0rc0

Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==1.2.0rc0

Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by simonjayhawkins about 5 years ago

pandas - Pandas 1.1.5

This is a minor bug-fix release in the 1.1.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins about 5 years ago

pandas - Pandas 1.1.4

This is a minor bug-fix release in the 1.1.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins over 5 years ago

pandas - Pandas 1.1.3

This is a minor bug-fix release in the 1.1.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins over 5 years ago

pandas - Pandas 1.1.2

This is a minor bug-fix release in the 1.1.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins over 5 years ago

pandas - Pandas 1.1.1

This is a minor bug-fix release in the 1.1.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins over 5 years ago

pandas - Pandas 1.1.0

This is a minor release which includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the whatsnew for a list of all the changes.

The release can be installed from PyPI

python -m pip install --upgrade pandas==1.1.0

Or from conda-forge

conda install -c conda-forge pandas==1.1.0

Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by TomAugspurger over 5 years ago

pandas - Pandas 1.1.0rc0

This is the first release candidate for 1.1.0rc0. If all goes well, we'll release pandas 1.1.0 in about two weeks.

See the whatsnew for a list of all the changes.

The release can be installed from PyPI

python -m pip install --upgrade --pre pandas==1.1.0rc0

Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==1.1.0rc0

Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by TomAugspurger over 5 years ago

pandas - Pandas 1.0.5

This is a minor bug-fix release in the 1.0.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins over 5 years ago

pandas - Pandas 1.0.4

This is a minor bug-fix release in the 1.0.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by simonjayhawkins almost 6 years ago

pandas - Pandas 1.0.3

This is a minor bug-fix release in the 1.0.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by TomAugspurger almost 6 years ago

pandas - Pandas 1.0.2

This is a minor bug-fix release in the 1.0.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by TomAugspurger almost 6 years ago

pandas - Pandas 1.0.1

This is a minor bug-fix release in the 1.0.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by TomAugspurger about 6 years ago

pandas - Pandas 1.0.0

This is a major release from 0.25.3, and includes a number of API changes, new features, enhancements, and performance improvements along with a large number of bug fixes.

Highlights include

• A redesigned website and documentation theme
• Using Numba in rolling.apply
• A new DataFrame method for converting to Markdown
• A new scalar for missing values
• Dedicated extension types for string and nullable boolean data

See the whatsnew for a list of all the changes.

The release can be installed from PyPI

python -m pip install --upgrade pandas

Or with conda from the defaults or conda-forge channels.

conda install pandas

Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by TomAugspurger about 6 years ago

pandas - v1.0.0rc0

This is the first release candidate for 1.0.0. If all goes well, we'll release pandas 1.0.0 in about two weeks.

Highlights include

• A new scalar for missing values
• Dedicated extension types for string and nullable boolean data
• Using Numba in rolling.apply
• A redesigned website and documentation theme

See the whatsnew for a list of all the changes.

The release can be installed from PyPI

python -m pip install --upgrade --pre pandas==1.0.0rc0

Or from conda-forge

conda install -c conda-forge/label/rc pandas==1.0.0rc0

Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by TomAugspurger about 6 years ago

pandas - v0.25.3

This is a minor bug-fix release in the 0.25.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release can be installed with conda from the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by WillAyd over 6 years ago

pandas - v0.25.2

This is a minor bug-fix release in the 0.25.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release can be installed with conda from the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by jbrockmendel over 6 years ago

pandas - v0.25.1

This is a minor bug-fix release in the 0.25.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release can be installed with conda from the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python -m pip install --upgrade pandas

- Python
Published by TomAugspurger over 6 years ago

pandas - Pandas 0.25.0

This is a major release from 0.24.2 and includes a number of API changes, new features, enhancements, and performance improvements along with a large number of bug fixes.

Highlights include

• Dropped Python 2 support
• Groupby aggregation with relabeling
• Better repr for MultiIndex
• Better truncated repr for Series and DataFrame
• Series.explode to split list-like values to rows

See the release notes for a full list of all the changes from 0.24.2.

The release can be installed with conda using the defaults or conda-forge channels

conda install pandas

Or via PyPI

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

- Python
Published by WillAyd over 6 years ago

pandas - v0.25.0rc0

This is a major release from 0.24.2 and includes a number of API changes, new features, enhancements, and performance improvements along with a large number of bug fixes.

Highlights include

• Dropped Python 2 support
• Groupby aggregation with relabeling
• Better repr for MultiIndex
• Better truncated repr for Series and DataFrame

See the release notes for a full list of all the change from 0.24.2.

The release candidate can be installed with conda using the conda-forge channel

conda install -c conda-forge/label/rc pandas=0.25.0rc0

Or via PyPI

python3 -m pip install --upgrade --pre pandas

Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by TomAugspurger over 6 years ago

pandas - v0.24.2

This is a minor bug-fix release in the 0.24.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release can be installed with conda from the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python -m pip install --upgrade pandas

- Python
Published by jorisvandenbossche almost 7 years ago

pandas - v0.24.1

This is a minor bug-fix release in the 0.24.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release can be installed with conda from the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python -m pip install --upgrade pandas

- Python
Published by TomAugspurger about 7 years ago

pandas - Pandas 0.24.0

This is a major release from 0.23.4 and includes a number of API changes, new features, enhancements, and performance improvements along with a large number of bug fixes.

Highlights include:

• Optional Nullable Integer Support
• New APIs for accessing the array backing a Series or Index
• A new top-level pandas.array() method for creating arrays
• Store Interval and Period data in a Series or DataFrame
• Joining with two MultiIndexes

See the release notes for a full list of all the change from 0.23.4

The release candidate can be installed with conda using the defaults or conda-forge channels

conda install pandas

Or via PyPI

python3 -m pip install --upgrade pandas

Note that 0.24.x is the last series of releases to support Python 2.

Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by TomAugspurger about 7 years ago

pandas - v0.24.0rc1

This is the first release candidate for 0.24.0.

This is a major release from 0.23.4 and includes a number of API changes, new features, enhancements, and performance improvements along with a large number of bug fixes.

Highlights include:

• Optional Nullable Integer Support
• New APIs for accessing the array backing a Series or Index
• A new top-level pandas.array() method for creating arrays
• Store Interval and Period data in a Series or DataFrame
• Joining with two MultiIndexes

See the release notes for a full list of all the change from 0.23.4

The release candidate can be installed with conda from from conda-forge

conda install -c conda-forge/label/rc pandas=0.24.0rc1

Or via PyPI

python3 -m pip install --upgrade --pre pandas

Note that 0.24.x is the last series of releases to support Python 2.

Please report any issues with the release candidate on the pandas issue tracker.

- Python
Published by TomAugspurger about 7 years ago

pandas - v0.23.4

This is a minor bug-fix release in the 0.23.x series and includes some small regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release can be installed with conda from the default channel and conda-forge:

conda install pandas

Or via PyPI:

python -m pip install --upgrade pandas

- Python
Published by TomAugspurger over 7 years ago

pandas - v0.23.3

This release fixes a build issue with the sdist for Python 3.7. There are no other changes.

- Python
Published by TomAugspurger over 7 years ago

pandas - v0.23.2

This is a minor bug-fix release in the 0.23.x series and includes some regression fixes, bug fixes, and performance improvements. We recommend that all users upgrade to this version. See the full whatsnew for a list of all the changes.

The release can be installed with conda from the default channel and conda-forge::

conda install pandas

Or via PyPI:

python -m pip install --upgrade pandas

- Python
Published by TomAugspurger over 7 years ago

pandas - v0.23.1

This is a minor bug-fix release in the 0.23.x series and includes some regression fixes, bug fixes, and performance improvements. We recommend that all users upgrade to this version. See the full whatsnew for a list of all the changes.

The release can be installed with conda from the default channel and conda-forge::

conda install pandas

Or via PyPI:

python -m pip install --upgrade pandas

- Python
Published by TomAugspurger over 7 years ago

pandas - v0.23.0

This is a major release from 0.22.0 and includes a number of API changes, new features, enhancements, and performance improvements along with a large number of bug fixes.

Highlights include:

• Round-trippable JSON format with 'table' orient
• Instantiation from dicts respects order for Python 3.6+
• Dependent column arguments for assign
• Merging / sorting on a combination of columns and index levels
• Extending Pandas with custom types
• Excluding unobserved categories from groupby

See the full whatsnew for a list of all the changes.

The release candidate can be installed with conda from from conda-forge (builds for osx-64, linux-64 and win-64 for Python 2.7, Python 3.5, and Python 3.6 are all available):

conda install -c conda-forge pandas=0.23.0

Or via PyPI

python3 -m pip install --upgrade pandas

Updated conda packages will be available in the default channel shortly.

- Python
Published by TomAugspurger almost 8 years ago

pandas - v0.23.0rc2

This is the first public release candidate for pandas 0.23.0

This is a major release from 0.23.0 and includes a number of API changes, new features, enhancements, and performance improvements along with a large number of bug fixes.

Highlights include:

• Round-trippable JSON format with 'table' orient
• Instantiation from dicts respects order for Python 3.6+
• Dependent column arguments for assign
• Merging / sorting on a combination of columns and index levels
• Extending Pandas with custom types
• Excluding unobserved categories from groupby

See the full whatsnew for a list of all the changes.

The release candidate can be installed with conda from our development channel (builds for osx-64, linux-64 and win-64 for Python 2.7, Python 3.5, and Python 3.6 are all available):

conda install -c conda-forge --label=rc pandas=0.23.0rc2

Or via PyPI

python3 -m pip install --pre --upgrade pandas==0.23.0rc2

- Python
Published by TomAugspurger almost 8 years ago

pandas - v0.23.0rc1

This is the first release candidate for pandas 0.23.0

This is a major release from 0.22.0 and includes a number of API changes, new features, enhancements, and performance improvements along with a large number of bug fixes.

Highlights include:

• Round-trippable JSON format with 'table' orient
• Instantiation from dicts respects order for Python 3.6+
• Dependent column arguments for assign
• Merging / sorting on a combination of columns and index levels
• Extending Pandas with custom types
• Excluding unobserved categories from groupby

See the full whatsnew for a list of all the changes.

The release candidate can be installed with conda from our development channel (builds for osx-64, linux-64 and win-64 for Python 2.7, Python 3.5, and Python 3.6 are all available):

conda install -c conda-forge --label=rc pandas=0.23.0rc1

Or via PyPI

python3 -m pip install --pre --upgrade pandas

- Python
Published by TomAugspurger almost 8 years ago

pandas - v0.22.0 Final

This is a major release from 0.21.1 and includes a single, API-breaking change. We recommend that all users upgrade to this version after carefully reading the release note.

The only changes are:

• The sum of an empty or all-NA Series is now 0
• The product of an empty or all-NA Series is now 1
• We've added a min_count parameter to .sum() and .prod() controlling the minimum number of valid values for the result to be valid. If fewer than min_count non-NA values are present, the result is NA. The default is 0. To return NaN, the 0.21 behavior, use min_count=1.

See the whatsnew for further explanation of all the places in the library this affects.

- Python
Published by TomAugspurger about 8 years ago

pandas - v0.21.1 Final

This is a minor bug-fix release in the 0.21.x series and includes some small regression fixes, bug fixes and performance improvements. We recommend that all users upgrade to this version.

Highlights include:

• Temporarily restore matplotlib datetime plotting functionality. This should resolve issues for users who relied implicitly on pandas to plot datetimes with matplotlib. See here
• Improvements to the Parquet IO functions introduced in 0.21.0. See here

See the v0.21.1 Whatsnew overview for an extensive list of all the changes for 0.21.1.

- Python
Published by TomAugspurger about 8 years ago

pandas - v0.21.0 Final

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

- Python
Published by TomAugspurger over 8 years ago

pandas - v0.21.0rc1

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 DataFrame.to_parquet method, see here
• New user-facing 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

Check the API Changes whatsnew; and deprecations; before updating.

- Python
Published by TomAugspurger over 8 years ago

pandas - v0.20.3 Final

This is a minor bug-fix release in the 0.20.x series and includes some small regression fixes and bug fixes. We recommend that all users upgrade to this version.

See the v0.20.3 Whatsnew page for an overview of all the bugs that have been fixed in 0.20.3.

- Python
Published by TomAugspurger over 8 years ago

pandas - v0.20.2 Final

This is a minor bug-fix release in the 0.20.x series and includes some small regression fixes, bug fixes and performance improvements. We recommend that all users upgrade to this version.

See the v0.20.2 Whatsnew page for an overview of all the bugs that have been fixed in 0.20.2.

- Python
Published by TomAugspurger over 8 years ago

pandas - v0.20.1 Final

This is a minor release from 0.20.0 and includes a single change for backwards-compatibility with downstream projects using pandas' utils routines. See here.

See the Whatsnew file for more information. Please report any issues here.

The release can be installed with conda from the conda-forge channel (builds for osx-64, linux-64 and win-64 for Python 2.7, Python 3.5, and Python 3.6 are all available):

conda install -c conda-forge pandas

Or via PyPI:

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

- Python
Published by TomAugspurger almost 9 years ago

pandas - v0.20.0 Final

This is a major release from 0.19.2 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:

• new .agg() API for Series/DataFrame similar to the groupby-rolling-resample API's, see here
• Integration with the feather-format, including a new top-level pd.read_feather() and DataFrame.to_feather() method, see here
• The .ix indexer has been deprecated, see here
• Panel has been deprecated, see here
• Addition of an IntervalIndex and Interval scalar type, see here
• Improved user API when accessing levels in .groupby(), see here
• Improved support for UInt64 dtypes, see here
• A new orient for JSON serialization, orient='table', that uses the Table Schema spec, see here
• Experimental support for exporting DataFrame.style formats to Excel, see here
• Window Binary Corr/Cov operations now return a MultiIndexed DataFrame rather than a Panel, as Panel is now deprecated, see here
• Support for S3 handling now uses s3fs, see here
• Google BigQuery support now uses the pandas-gbq library, see here
• Switched the test framework to use pytest

See the Whatsnew file for more information.

- Python
Published by TomAugspurger almost 9 years ago

pandas - v0.20.0rc2

RELEASE CANDIDATE 2

This is a major release from 0.19.2 and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes.

Please try this RC and report any issues on the pandas issue tracker. We will be releasing officially a day or two.

Highlights include:

• new .agg() API for Series/DataFrame similar to the groupby-rolling-resample API's, see here
• Integration with the feather-format, including a new top-level pd.read_feather() and DataFrame.to_feather() method, see here
• The .ix indexer has been deprecated, see here
• Panel has been deprecated, see here
• Addition of an IntervalIndex and Interval scalar type, see here
• Improved user API when accessing levels in .groupby(), see here
• Improved support for UInt64 dtypes, see here
• A new orient for JSON serialization, orient='table', that uses the Table Schema spec, see here
• Experimental support for exporting DataFrame.style formats to Excel, see here
• Window Binary Corr/Cov operations now return a MultiIndexed DataFrame rather than a Panel, as Panel is now deprecated, see here
• Support for S3 handling now uses s3fs, see here
• Google BigQuery support now uses the pandas-gbq library, see here
• Switched the test framework to use pytest

See the Whatsnew file for more information. Please report any issues here.

The release candidate can be installed with conda from our development channel (builds for osx-64, linux-64 and win-64 for Python 2.7, Python 3.5, and Python 3.6 are all available):

conda install -c pandas pandas=0.20.0rc2

Or via PyPI

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

- Python
Published by TomAugspurger almost 9 years ago

pandas - v0.20.0rc1

RELEASE CANDIDATE 1

This is a major release from 0.19.2 and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes.

Please try this RC and report any issues on the pandas issue tracker. We will be releasing officially in 1-2 weeks or so.

Highlights include:

• new .agg() API for Series/DataFrame similar to the groupby-rolling-resample API's, see here
• Integration with the feather-format, including a new top-level pd.read_feather() and DataFrame.to_feather() method, see here
• The .ix indexer has been deprecated, see here
• Panel has been deprecated, see here
• Addition of an IntervalIndex and Interval scalar type, see here
• Improved user API when accessing levels in .groupby(), see here
• Improved support for UInt64 dtypes, see here
• A new orient for JSON serialization, orient='table', that uses the Table Schema spec, see here
• Experimental support for exporting DataFrame.style formats to Excel, see here
• Window Binary Corr/Cov operations now return a MultiIndexed DataFrame rather than a Panel, as Panel is now deprecated, see here
• Support for S3 handling now uses s3fs, see here
• Google BigQuery support now uses the pandas-gbq library, see here
• Switched the test framework to use pytest

See the Whatsnew file for more information. Please report any issues here.

The release candidate can be installed with conda from our development channel (builds for osx-64, linux-64 and win-64 for Python 2.7, Python 3.5, and Python 3.6 are all available):

conda install -c pandas pandas=0.20.0rc1

Or via PyPI

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

- Python
Published by TomAugspurger almost 9 years ago

pandas - v0.19.2 Final

This is a minor bug-fix release in the 0.19.x series and includes some small regression fixes, bug fixes and performance improvements.

Highlights include: - Compatibility with Python 3.6 - Added a Pandas Cheat Sheet

See the v0.19.2 Whatsnew page for an overview of all bugs that have been fixed in 0.19.2.

- Python
Published by jorisvandenbossche about 9 years ago

pandas - v0.19.1 Final

This is a minor bug-fix release from 0.19.0 and includes some small regression fixes, bug fixes and performance improvements.

See the v0.19.1 Whatsnew page for an overview of all bugs that have been fixed in 0.19.1.

- Python
Published by jorisvandenbossche over 9 years ago

pandas - v0.19.0 Final

This is a major release from 0.18.1 and includes a number of API changes, several 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: - merge_asof for asof-style time-series joining, see here - .rolling() is now time-series aware, see here - read_csv now supports parsing Categorical data, see here - A function union_categorical has been added for combining categoricals, see here - PeriodIndex now has its own period dtype, and changed to be more consistent with other Index classes. See here - Sparse data structures gained enhanced support of int and bool dtypes, see here - Comparison operations with Series no longer ignores the index, see here for an overview of the API changes. - Introduction of a pandas development API for utility functions, see here. - Deprecation of Panel4D and PanelND. We recommend to represent these types of n-dimensional data with the xarray package. - Removal of the previously deprecated modules pandas.io.data, pandas.io.wb, pandas.tools.rplot.

See the Whatsnew file for more information.

- Python
Published by jorisvandenbossche over 9 years ago

pandas - v0.19.0rc1

RELEASE CANDIDATE

This is a major release from 0.18.1 and includes a number of API changes, several 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: - merge_asof for asof-style time-series joining, see here - .rolling() is now time-series aware, see here - read_csv now supports parsing Categorical data, see here - A function union_categorical has been added for combining categoricals, see here - PeriodIndex now has its own period dtype, and changed to be more consistent with other Index classes. See here - Sparse data structures gained enhanced support of int and bool dtypes, see here - Comparison operations with Series no longer ignores the index, see here for an overview of the API changes. - Introduction of a pandas development API for utility functions, see here. - Deprecation of Panel4D and PanelND. We recommend to represent these types of n-dimensional data with the xarray package. - Removal of the previously deprecated modules pandas.io.data, pandas.io.wb, pandas.tools.rplot.

See the Whatsnew file for more information. Please report any issues here.

The release candidate can be installed with conda from our development channel (builds for osx-64, linux-64 and win-64 for Python 2.7 and Python 3.5 are all available):

conda install -c pandas pandas=0.19.0rc1

- Python
Published by jorisvandenbossche over 9 years ago

pandas - v0.18.1 Final

This is a minor release from 0.18.0 and includes a large number of bug fixes along with several new features, enhancements, and performance improvements. We recommend that all users upgrade to this version.

Highlights include: - .groupby(...) has been enhanced to provide convenient syntax when working with .rolling(..), .expanding(..) and .resample(..) per group, see here - pd.to_datetime() has gained the ability to assemble dates from a DataFrame, see here - Method chaining improvements, see here - Custom business hour offset, see here - Many bug fixes in the handling of sparse, see here - Expanded the Tutorials section with a feature on modern pandas, courtesy of @TomAugsburger (:issue:13045).

You an install the latest version of pandas via conda:

conda install pandas -c conda-forge

- Python
Published by jreback almost 10 years ago

pandas - v0.18.0 Final

This is a major release from 0.17.1 and includes a small number of API changes, several 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: - pandas >= 0.18.0 will no longer support compatibility with Python version 2.6 GH11273 and 3.3 GH7718 - Moving and expanding window functions are now methods on Series and DataFrame, similar to .groupby, see here. - Adding support for a RangeIndex as a specialized form of the Int64Index for memory savings, see here. - API breaking .resample changes to make it more .groupby like, see here - Removal of support for positional indexing with floats, which was deprecated since 0.14.0. This will now raise a TypeError, see here - The .to_xarray() function has been added for compatibility with the xarray package see here. - The read_sas() function has been enhanced to read sas7bdat files, see here - Addition of the .str.extractall() method, and API changes to the the .str.extract() method, and the.str.cat() method - pd.test() top-level nose test runner is available GH4327

See the Whatsnew for much more information. Please report any issues here

best way to get this is to install via conda. Builds for osx-64,linux-64,win-64 for Python 2.7, Python 3.4 and Python 3.5 are all available.

conda install pandas

- Python
Published by jreback almost 10 years ago

pandas - v0.18.0rc2

RELEASE CANDIDATE 2

THIS IS NOT A PRODUCTION RELEASE

Compared to RC1, this includes the update to read_sas as well as fixes for float indexing.

This is a major release from 0.17.1 and includes a small number of API changes, several 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: - pandas >= 0.18.0 will no longer support compatibility with Python version 2.6 GH11273 and 3.3 GH7718 - Moving and expanding window functions are now methods on Series and DataFrame, similar to .groupby, see here. - Adding support for a RangeIndex as a specialized form of the Int64Index for memory savings, see here. - API breaking .resample changes to make it more .groupby like, see here - Removal of support for positional indexing with floats, which was deprecated since 0.14.0. This will now raise a TypeError, see here - The .to_xarray() function has been added for compatibility with the xarray package see here. - The read_sas() function has been enhanced to read sas7bdat files, see here - Addition of the .str.extractall() method, and API changes to the the .str.extract() method, and the.str.cat() method - pd.test() top-level nose test runner is available GH4327

See the Whatsnew for much more information. Please report any issues here

best way to get this is to install via conda from our development channel. Builds for osx-64,linux-64,win-64 for Python 2.7 and Python 3.5 are all available.

conda install pandas=v0.18.0rc2 -c pandas

- Python
Published by jreback almost 10 years ago

pandas - v0.18.0rc1

This is a major release from 0.17.1 and includes a small number of API changes, several 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: - pandas >= 0.18.0 will no longer support compatibility with Python version 2.6 GH11273 and 3.3 GH7718 - Moving and expanding window functions are now methods on Series and DataFrame, similar to .groupby, see here. - Adding support for a RangeIndex as a specialized form of the Int64Index for memory savings, see here. - API breaking .resample changes to make it more .groupby like, see here - Removal of support for positional indexing with floats, which was deprecated since 0.14.0. This will now raise a TypeError, see here - The .to_xarray() function has been added for compatibility with the xarray package see here. - Addition of the .str.extractall() method, and API changes to the the .str.extract() method, and the.str.cat() method - pd.test() top-level nose test runner is available GH4327

See the Whatsnew for much more information. Please report any issues here

best way to get this is to install via conda from our development channel. Builds for osx-64,linux-64,win-64 for Python 2.7 and Python 3.5 are all available.

conda install pandas=v0.18.0rc1 -c pandas

- Python
Published by jreback about 10 years ago

pandas - v0.17.1 Final

We are proud to announce that pandas has become a sponsored project of the NUMFocus organization This will help ensure the success of development of pandas as a world-class open-source project.

This is a minor bug-fix release from 0.17.0 and includes a large number of bug fixes along several new features, enhancements, and performance improvements. We recommend that all users upgrade to this version.

Highlights include: - Support for Conditional HTML Formatting, see here - Releasing the GIL on the csv reader & other ops, see here - Fixed regression in DataFrame.drop_duplicates from 0.16.2, causing incorrect results on integer values see here

See the Whatsnew for much more information. Please report any issues here

You an install the latest version of pandas via conda:

conda install pandas -u pandas

- Python
Published by jreback over 10 years ago

pandas - v0.17.0 Final

This is a major release from 0.16.2 and includes a small number of API changes, several 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: - Release the Global Interpreter Lock (GIL) on some cython operations, see here - Plotting methods are now available as attributes of the .plot accessor, see here - The sorting API has been revamped to remove some long-time inconsistencies, see here - Support for a datetime64[ns] with timezones as a first-class dtype, see here - The default for to_datetime will now be to raise when presented with unparseable formats, previously this would return the original input, see here - The default for dropna in HDFStore has changed to False, to store by default all rows even if they are all NaN, see here - Datetime accessor (dt) now supports Series.dt.strftime to generate formatted strings for datetime-likes, and Series.dt.total_seconds to generate each duration of the timedelta in seconds. See here - Period and PeriodIndex can handle multiplied freq like 3D, which corresponding to 3 days span. See here - Development installed versions of pandas will now have PEP440 compliant version strings GH9518 - Development support for benchmarking with the Air Speed Velocity library GH8361 - Support for reading SAS xport files, see here - Removal of the automatic TimeSeries broadcasting, deprecated since 0.8.0, see here - Display format with plain text can optionally align with Unicode East Asian Width, see here - Compatibility with Python 3.5 GH11097 - Compatibility with matplotlib 1.5.0 GH11111

See the Whatsnew for much more information. Please report any issues here

You an install the latest version of pandas via conda:

conda install pandas -u pandas

- Python
Published by jreback over 10 years ago

pandas - v0.17.0rc2

RELEASE CANDIDATE 2

Since release candidate 1: - compat for Python 3.5 - compat for matplotlib 1.5.0 - .convert_objects is now restored to the original, and is deprecated

This is a major release from 0.16.2 and includes a small number of API changes, several 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: - Release the Global Interpreter Lock (GIL) on some cython operations, see here - Plotting methods are now available as attributes of the .plot accessor, see here - The sorting API has been revamped to remove some long-time inconsistencies, see here - Support for a datetime64[ns] with timezones as a first-class dtype, see here - The default for to_datetime will now be to raise when presented with unparseable formats, previously this would return the original input, see here - The default for dropna in HDFStore has changed to False, to store by default all rows even if they are all NaN, see here - Datetime accessor (dt) now supports Series.dt.strftime to generate formatted strings for datetime-likes, and Series.dt.total_seconds to generate each duration of the timedelta in seconds. See here - Period and PeriodIndex can handle multiplied freq like 3D, which corresponding to 3 days span. See here - Development installed versions of pandas will now have PEP440 compliant version strings GH9518 - Development support for benchmarking with the Air Speed Velocity library GH8361 - Support for reading SAS xport files, see here - Removal of the automatic TimeSeries broadcasting, deprecated since 0.8.0, see here - Display format with plain text can optionally align with Unicode East Asian Width, see here - Compatibility with Python 3.5 GH11097 - Compatibility with matplotlib 1.5.0 GH11111

See the Whatsnew for much more information. Please report any issues here

best way to get this is to install via conda from our development channel. Builds for osx-64,linux-64,win-64 for Python 2.7, Python 3.4, and Python 3.5 are all available.

conda install pandas -c pandas

- Python
Published by jreback over 10 years ago

pandas - v0.17.0rc1

RELEASE CANDIDATE 1

This is a major release from 0.16.2 and includes a small number of API changes, several 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: - Release the Global Interpreter Lock (GIL) on some cython operations, see here - Plotting methods are now available as attributes of the .plot accessor, see here - The sorting API has been revamped to remove some long-time inconsistencies, see here - Support for a datetime64[ns] with timezones as a first-class dtype, see here - The default for to_datetime will now be to raise when presented with unparseable formats, previously this would return the original input, see here - The default for dropna in HDFStore has changed to False, to store by default all rows even if they are all NaN, see here - Datetime accessor (dt) now supports Series.dt.strftime to generate formatted strings for datetime-likes, and Series.dt.total_seconds to generate each duration of the timedelta in seconds. See here - Period and PeriodIndex can handle multiplied freq like 3D, which corresponding to 3 days span. See here - Development installed versions of pandas will now have PEP440 compliant version strings GH9518 - Development support for benchmarking with the Air Speed Velocity library GH8361 - Support for reading SAS xport files, see here - Removal of the automatic TimeSeries broadcasting, deprecated since 0.8.0, see here

See the Whatsnew for much more information. Please report any issues here

best way to get this is to install via conda from our development channel. Builds for osx-64,linux-64,win-64 for Python 2.7 and Python 3.4 are all available.

conda install pandas -c pandas

- Python
Published by jreback over 10 years ago

pandas - v0.16.2 Final

This is a minor bug-fix release from 0.16.1 and includes a a large number of bug fixes along several new features, enhancements, and performance improvements. We recommend that all users upgrade to this version.

Highlights include: - A new pipe method, see here - Documentation on how to use numba with pandas, see here

See the full whatsnew

- Python
Published by jreback over 10 years ago

pandas - v0.16.1 Final

This is a minor bug-fix release from 0.16.0 and includes a a large number of bug fixes along several new features, enhancements, and performance improvements. We recommend that all users upgrade to this version.

Highlights include: - Support for a CategoricalIndex, a category based index, see here - New section on how-to-contribute to pandas, see here - Revised "Merge, join, and concatenate" documentation, including graphical examples to make it easier to understand each operations, see here - New method sample for drawing random samples from Series, DataFrames and Panels. See here - The default Index printing has changed to a more uniform format, see here - BusinessHour datetime-offset is now supported, see here - Further enhancement to the .str accessor to make string operations easier, see here

See the full whatsnew here

- Python
Published by jreback almost 11 years ago

pandas - v0.16.0 Final

This is a major release from 0.15.2 and includes a small number of API changes, several 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: - DataFrame.assign method, see here - Series.to_coo/from_coo methods to interact with scipy.sparse, see here - Backwards incompatible change to Timedelta to conform the .seconds attribute with datetime.timedelta, see here - Changes to the .loc slicing API to conform with the behavior of .ix see here - Changes to the default for ordering in the Categorical constructor, see here - Enhancement to the .str accessor to make string operations easier, see here - The pandas.tools.rplot, pandas.sandbox.qtpandas and pandas.rpy modules are deprecated. We refer users to external packages like seaborn, pandas-qt and rpy2 for similar or equivalent functionality, see here for more detail.

See the Whatsnew for an extensive list of all API changes, enhancements and bugs that have been fixed in 0.16.0.

- Python
Published by jreback almost 11 years ago