Recent Releases of https://github.com/coecms/xmhw
https://github.com/coecms/xmhw - Solved multiindex issue
Solved multi index issue and generally updated to keep up with pandas and xarray changes
- Python
Published by paolap 10 months ago
https://github.com/coecms/xmhw - Fixed point missing initialisation
Fixed missing initialisation for point Boolean variable to False
- Python
Published by paolap over 3 years ago
https://github.com/coecms/xmhw - Single point workflow
Functions will try to determine if there's only one dimension (time) and accordingly skip all the grid based operations, as land_check and parallel loops. This release should solve issue #56
- Python
Published by paolap over 3 years ago
https://github.com/coecms/xmhw - Updated requirements
Updated requirements.txt file to remove pin for xarray
- Python
Published by paolap over 3 years ago
https://github.com/coecms/xmhw - Removed multi index
As described in pull -request #53 some changes in the way coordinates are handled following changes in indexing in the latest xarray release, see also issue #49
- Python
Published by paolap over 3 years ago
https://github.com/coecms/xmhw - Conda and docs fixed
Changes to conda files and a few changes to the documentation. The code isn't changed at all compared to 0.8.0 and this version won't be published, I need a release to create the documentation
- Python
Published by paolap over 4 years ago
https://github.com/coecms/xmhw - Added timestep option
Main updates: Added a tstep (timestep) option to use the original timestep of the timeseries passed as input as step, rather than assuming data is daily. This allows to calculate climatologies and detect mhw events at different frequency. Added conda support Added readthedocs documentation
- Python
Published by paolap over 4 years ago
https://github.com/coecms/xmhw - Improved threshold and documents
Main improvements are: Re-organised threshold function - now the calculation of percentile and average are separated in delayed functions. Added options to handle NaNs, in particular to be able to use mean() and quantile() function without skipna=True by default. Update xmhw_demo notebook and documentation to reflect changes. Removed bug from stats and added tests.
- Python
Published by paolap over 4 years ago
https://github.com/coecms/xmhw - First release
The tool is currently reproducing Eric Olivier code to calculate threshold, identify marine heatwave events and calculate some of the block averages.
- Python
Published by paolap almost 5 years ago