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Commits on Jan 30, 2025

• fix: handle mismatched dim lengths during rechunking (take 2) (#423)

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Commits on Nov 11, 2024

• feat(wind): Add power law interpolation method for wind conversion (#402)

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• fix: Skip previous encoding workaround for fixed xarray versions (#401)

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Commits on Jan 21, 2021

• Preparation of v0.2 (#20)

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Commits on Jun 8, 2020

• gis: Fix rasterio crs specification (#88)

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• gitignore auto-generated version file

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Commits on Jun 7, 2020

• travis: Deploy only from linux build

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• setup: Use git tag versioning (#84)

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• travis: Add cdsapi token (#85)

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Commits on Jun 6, 2020

• environment: Update packages

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• travis: Improve conda settings

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• travis: Remove cdsapi configuration

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• Merge pull request #82 from PyPSA/travis

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• tests: Add a passing test

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• README: Add travis badge

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• Add travis-ci configuration

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Commits on Jun 18, 2019

• README: Add badges and mention conda-forge and pypi in installation instr.

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• Version v0.0.2

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Commits on Jun 5, 2019

• Use yaml.safe_load as yaml.load is to be deprecated

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Commits on May 15, 2019

• convert: Fix switch to weight runoff data with potential height

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• convert, era5: Work-around small negative runoff values (concerns #17)

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Commits on Apr 25, 2019

• setup.py: Fix missing `,` in `install_requires` field

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Commits on Mar 1, 2019

• wind: Remove type-checks from extrapolate_wind_speed

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• Partial revert of "(Refractor) Wind power conversion and wind speed ..."

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• hydro: [tiny] Reflow long code lines

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Commits on Feb 18, 2019

• hydro: Add hydro module realizing hailiang's hydrobasins runoff aggregation

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• convert, utils: Refactor progressbar into new utils module

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Commits on Feb 10, 2019

• era5: Fix whitespace and simplify default cds request

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• README: Update ERA5 resolution

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• setup: Bump version number

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• era5: Replace deprecated ECMWF api with CDS api

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Commits on Jan 28, 2019

• Merge pull request #5 from euronion/fixes

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Commits on Jan 25, 2019

• Add environment.yaml (#3)

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Commits on Jan 23, 2019

• Merge pull request #2 from euronion/fixes

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• era5: Fix for pandas 0.23

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