Update dependency pandas to v0.25.3

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
pandas (source)	==0.22.0 -> ==0.25.3

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Release Notes

pandas-dev/pandas

v0.25.3

Compare Source

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.

v0.25.2

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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.

v0.25.1

Compare Source

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

v0.25.0

Compare Source

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.

v0.24.2

Compare Source

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

v0.24.1

Compare Source

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

v0.24.0

Compare Source

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.

v0.23.4

Compare Source

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

v0.23.3

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

v0.23.2

Compare Source

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

v0.23.1

Compare Source

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

v0.23.0

Compare Source

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.

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