Comments (5)
del adata.obsm['X_dca']
doesn’t work?
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I fear it doesn't work. We could add __delete__
using the previous implementation, which I removed at some point for some reason...
If you have the bandwidth to do so, Phil, than go ahead... I'll be basically offline on holidays for the next week.
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You deleted it in 9ae684e, because you changed everything there 😉
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Oh so great that you restored it @flying-sheep!
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Ah, and regarding the commit you linked, @flying-sheep; this is the commit where I moved from BoundRecArrays to DataFrames for .obs
. Just a bit later I reintroduced a minimal version of BoundRecArray (without the "manual" index) for .obsm
, so that multi-dimensional annotations would be restored.
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Related Issues (20)
- `to_df` docstrings
- dask.array.store but with anndata schema HOT 1
- Indexing With a Dask Array HOT 5
- adata.raw = adata HOT 1
- GPU CI tests failing HOT 2
- Add working `GroupStorageType` type annotation
- 0.10.6 - Cannot write files due to implicit conversion to str dtype. HOT 2
- Saving .h5ad with pd.Series in .uns results in IORegistryError HOT 3
- `read_elem_as_dask` HOT 8
- `FileNotFoundError: [Errno 2] No such file or directory: 'llvm-config'` on CI HOT 2
- Upcoming Scipy 1.13 incompatible with file-backed sparse matrices
- CZI files' `var` count changd
- `/` in column names makes AnnData Zarr object unreadable on windows HOT 12
- String indexes in var lead to UserWarning HOT 1
- Move tests out of the package
- Refactor `BaseCompressedSparseDataset` and subclasses to remove `backed_{csr,csc}_matrix`
- concat_on_disk should use int64 indptrs by default so that it can concatenate large files HOT 4
- TypeError: Can't implicitly convert non-string objects to strings HOT 4
- Error concatenating scRNA with visium dataset
- Error: Expected a python object, received a character HOT 1
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