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databrickslabs / tempo

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
https://pypi.org/project/dbl-tempo
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Bump pandas from 1.5.2 to 2.2.1 #380

Closed dependabot[bot] closed 8 months ago

dependabot[bot] commented 9 months ago

Bumps pandas from 1.5.2 to 2.2.1.

Release notes

Sourced from pandas's releases.

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.

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.

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

... (truncated)

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dependabot[bot] commented 8 months ago

Looks like pandas is no longer a dependency, so this is no longer needed.