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Copy file name to clipboardExpand all lines: CHANGELOG.md
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### Changed
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-`Centroids.append` now takes multiple arguments and provides a performance boost when doing so [#989](https://github.com/CLIMADA-project/climada_python/pull/989)
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-`climada.util.coordinates.get_country_geometries` function: Now throwing a ValueError if unregognized ISO country code is given (before, the invalid ISO code was ignored) [#980](https://github.com/CLIMADA-project/climada_python/pull/980)
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- Improved scaling factors implemented in `climada.hazard.trop_cyclone.apply_climate_scenario_knu` to model the impact of climate changes to tropical cyclones [#734](https://github.com/CLIMADA-project/climada_python/pull/734)
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- In `climada.util.plot.geo_im_from_array`, NaNs are plotted in gray while cells with no centroid are not plotted [#929](https://github.com/CLIMADA-project/climada_python/pull/929)
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### Fixed
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- Resolved an issue where windspeed computation was much slower than in Climada v3 [#989](https://github.com/CLIMADA-project/climada_python/pull/989)
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- File handles are being closed after reading netcdf files with `climada.hazard` modules [#953](https://github.com/CLIMADA-project/climada_python/pull/953)
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- Avoids a ValueError in the impact calculation for cases with a single exposure point and MDR values of 0, by explicitly removing zeros in `climada.hazard.Hazard.get_mdr`[#933](https://github.com/CLIMADA-project/climada_python/pull/948)
Copy file name to clipboardExpand all lines: requirements/env_climada.yml
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- pint>=0.24
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- pip
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- pycountry>=24.6
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- pyepsg>=0.4
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- pyproj>=3.5
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- pytables>=3.7
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- pyxlsb>=1.0
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- salib>=1.5
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- seaborn>=0.13
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- scikit-learn>=1.5
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- scipy>=1.13
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- scipy>=1.13,<1.15 # 1.15 is not compatible with climada_petals, climada_petals.engine.test.test_supplychain fails with "'Series' has no attribute 'nonzero'"
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