v0.3.2 (16 September 2022) This patch release focuses on bug fixes related to temporal averaging, spatial averaging, and regridding. xesmf is now an optional dependency because it is not supported on osx-arm64 and windows at this time. There is a new documentation page for HPC/Jupyter guidance. Bug Fixes Temporal Average Fix multiple temporal avg calls on same dataset breaking by @tomvothecoder in https://github.com/xCDAT/xcdat/pull/329 Fix incorrect results for group averaging with missing data by @pochedls in https://github.com/xCDAT/xcdat/pull/320 Spatial Average Fix spatial bugs: handle datasets with domain bounds out of order and zonal averaging by @pochedls in https://github.com/xCDAT/xcdat/pull/340 Horizontal Regridding ...
Breaking changes * Statistical functions (`frequency_analysis`, `fa`, `fit`, `parametric_quantile`) ...
Bug fixes The introduction of sparse, with numba under the hood, restricted input data to little-en...
Bug fixes Fix regression regarding support for non-CF-compliant coordinate names (#73). By Sam Leva...
v0.6.0 (10 October 2023) This minor version update consists of new features including vertical regri...
<p>v0.4.0 (9 November 2022)</p> <p>This minor release includes a feature update t...
v0.3.3 (12 October 2022) This patch release fixes a bug where calculating daily climatologies/depar...
v0.6.0rc1 (7 July 2023) This is the first release candidate for the upcoming v0.6.0 release. This v...
v0.5.0 (27 March 2023) This long-awaited minor release includes feature updates to support an optio...
History v0.6.0 (2023-05-04) Contributors to this version: Trevor James Smith (@Zeitsperre), Juliette...
The minor release includes bug-fixes and backwards compatible enhancements. Enhancements .rolling()...
What's Changed fast forward main changes by @roussel-ryan in https://github.com/ChristopherMayes/Xo...
Announcements It was found that the ExtremeValues adjustment algorithm was not as accurate and stab...
The v0.0.4 release adds improved xarray support, as well as JPL GPS data. Changes Update instrument...
Bug fixes Spatial coordinates of ds_out are kept within the regridder and transferred to the regrid...
pysatSeasons leverages the instrument independent support in pysat to construct several analysis rou...
Breaking changes * Statistical functions (`frequency_analysis`, `fa`, `fit`, `parametric_quantile`) ...
Bug fixes The introduction of sparse, with numba under the hood, restricted input data to little-en...
Bug fixes Fix regression regarding support for non-CF-compliant coordinate names (#73). By Sam Leva...
v0.6.0 (10 October 2023) This minor version update consists of new features including vertical regri...
<p>v0.4.0 (9 November 2022)</p> <p>This minor release includes a feature update t...
v0.3.3 (12 October 2022) This patch release fixes a bug where calculating daily climatologies/depar...
v0.6.0rc1 (7 July 2023) This is the first release candidate for the upcoming v0.6.0 release. This v...
v0.5.0 (27 March 2023) This long-awaited minor release includes feature updates to support an optio...
History v0.6.0 (2023-05-04) Contributors to this version: Trevor James Smith (@Zeitsperre), Juliette...
The minor release includes bug-fixes and backwards compatible enhancements. Enhancements .rolling()...
What's Changed fast forward main changes by @roussel-ryan in https://github.com/ChristopherMayes/Xo...
Announcements It was found that the ExtremeValues adjustment algorithm was not as accurate and stab...
The v0.0.4 release adds improved xarray support, as well as JPL GPS data. Changes Update instrument...
Bug fixes Spatial coordinates of ds_out are kept within the regridder and transferred to the regrid...
pysatSeasons leverages the instrument independent support in pysat to construct several analysis rou...
Breaking changes * Statistical functions (`frequency_analysis`, `fa`, `fit`, `parametric_quantile`) ...
Bug fixes The introduction of sparse, with numba under the hood, restricted input data to little-en...
Bug fixes Fix regression regarding support for non-CF-compliant coordinate names (#73). By Sam Leva...