iris
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SciTools
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
## 🐛 Bug Report When using `iris.util.equalise_attributes(cubes)` before merging a CubeList, I noticed different behaviour based on whether I used `iris.load()` or `iris.load_raw()` to generate the CubeList. `load_raw()` seems to...
## 🐛 Bug Report ## How To Reproduce As part of #4087, the perceptual image hash images have been updated to account for the associated changes within `iris` from the...
On behalf of Scitools user(s): I have an Iris/Dask/NetCDF question about chunking data and collapsing dimensions, in this case to compute ensemble statistics (ensemble mean/median/standard deviation fields). The NetCDF files...
On behalf of an Iris User: I'm having some trouble reading/writing NetCDF files with Iris 2.4 for datasets with string type variables. I thought I should bring what I've found...
As explained in [this comment](https://github.com/SciTools/iris/pull/4331#discussion_r717510131) > @bjlittle "I can't identify the root cause for the change in numbers here... hence why I've introduced a minimum pin for cartopy in iris...
## 📰 Custom Issue Following the success of @jamesp’s GitHub Action Workflow to update conda lock files, the CI tests on contributors’ pull requests are protected from dependency updates and...
## 📰 Custom Issue Currently, `iris.analysis.cartography.wrap_lons` promotes dtype to `np.float64`. This is causing some users to have to manually change the dtype back to its original version. https://github.com/SciTools/iris/blob/98baee21721826a2a3c25d9169ed7e97e16e5e12/lib/iris/analysis/cartography.py#L70-L73 I believe...
## 🐛 Bug Report iris.plot does not always plot cloud base/top extent correctly. The plotted region is sometimes less than it should be. ## How To Reproduce Steps to reproduce...
- [x] Review iris top-level dependencies for their NEP29 position - [ ] How would we implement? e.g. minimum pins - [ ] Document as part of the release manager...
## 📰 Custom Issue Cubes with the specifications given by the callback argument are expected when using iris.load(), for instance when callback specifies that cubes must have three dimensions (time-latitude-longitude)....
