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Releases: hyriver/pygeohydro

Release v0.8.0

07 Dec 04:42
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Release v0.8.0 Pre-release
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Please check HISTORY.rst file for a detailed list
of changes.

Release v0.2.0

07 Dec 04:40
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Release v0.2.0 Pre-release
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Please check HISTORY.rst file for a detailed list
of changes.

v0.7.3-beta

02 Sep 21:24
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v0.7.3-beta Pre-release
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This release fixes the issue due to recent changes to the WaterData web service.

0.7.2

18 Aug 22:00
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0.7.2 Pre-release
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Enhancements

  • Replaced simplejson with orjson to speed-up JSON operations.
  • Explicitly sort the time dimension of the ssebopeta_bygeom function.

Bug fixes

  • Fix an issue with the nlcd function where high-resolution requests fail.

v0.7.1

14 Aug 06:08
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v0.7.1 Pre-release
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This is a bug fix that addresses the nlcd function issue where not all None layers are dropped. Also, a new flag called title_ypos was added to the plot.signatures function for adjusting the vertical position of the supertitle which is useful for multi-line titles.

v0.7.0

12 Aug 04:18
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v0.7.0 Pre-release
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This version re-writes almost the whole codebase and divides Hydrodata into six standalone Python libraries. This decision was made for reducing the code complexity and allowing the users to only install the packages that they need without having to install all the Hydrodata dependencies. Please check History for the full changelog.

v0.6.0

22 Jun 09:36
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v0.6.0 Pre-release
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This release improves the overall quality and efficiency of the code by refactoring some parts of the code and making some necessary API changes. This release is not backward compatible.

V0.5.5

14 Jun 05:26
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V0.5.5 Pre-release
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This release removes two dependencies that were not available on conda-forge channel so Hydrodata can be added to conda-forge.

v0.5.4

08 Jun 20:51
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v0.5.4 Pre-release
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This release prepares the package to be released on conda-forge.

v0.5.3

08 Jun 04:45
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v0.5.3 Pre-release
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This release features the addition of three new databases from the National Map and refactoring several functions for increasing robustness and performances. The package is now released on conda-forge and can be installed using pip that handles the installation of dependencies.