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Unpin test requirements#5019

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marthacryan merged 47 commits intomainplotly/plotly.py:mainfrom

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Mar 6, 2025

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Commits on Feb 7, 2025

• Unpin test requirements and use the same requirements for all python versions

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• Remove extra requirements files

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• remove plotly-geo install and orca tests from circleci config

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• pin fiona version for python<=3.8

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Commits on Feb 10, 2025

• Only install vaex for python<=3.9

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• Prevent running vaex tests if vaex isn't installed

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• Code formatting

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Commits on Feb 11, 2025

• Update tests/test_optional/test_px/test_px_input.py

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• try only running vaex with python 3.9

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• Merge branch 'unpin-requirements' of github.com:plotly/plotly.py into unpin-requirements

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• Set vaex tests to run on only python 3.9

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• Only run vaex tests if vaex is installed

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• Merge with master

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• Fix handling of vaex not being present

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• remove extraneous import of ipython display

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Commits on Feb 12, 2025

• remove unnecessary py parameter and add numpy_installed parameter

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• Update conditional in circleci config

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Commits on Feb 13, 2025

• Fix syntax of conditional

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• Fix conditional

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• Parameterize jobs

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• Fix python versions

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• Fix indentation

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• Rename job for readability of CI output

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• Switch to uv for other tests

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• Merge branch 'main' of github.com:plotly/plotly.py into unpin-requirements

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• Revert to pip for pandas downgrade

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• Address review

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• Revert changes to black version

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• Add pandas version as parameter

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• Use pip for downgrade

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• Use easier to read name for jobs

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• Try different pandas version

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• Remove numpy config

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Commits on Feb 18, 2025

• Prevent pandas install step if default

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• Merge branch 'main' of github.com:plotly/plotly.py into unpin-requirements

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• Remove narwhals from dependencies

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Commits on Feb 20, 2025

• Remove narwhals from core requirements

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Commits on Feb 26, 2025

• Update .circleci/config.yml

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• Add check for pandas version to confirm correct install

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• Use uv for pip

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Commits on Mar 6, 2025

• Add numpy version pin

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• Switch to use uv in core tests as well

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• Use uv for percy tests

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• Use later version of numpy for scipy compatibility

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• Use version of numpy from before switch to uv

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• Use different version of numpy

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• Update name of test for consistency with other CI jobs

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