Comments (4)
It's not in an release yet, only on GitHub, I'll release a new anndata version this weekend, then it's out there. I'll also change the docs to show the releases only in the future, now that things converge a little.
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Perfect, thanks. Can I ask you if the reverse function will be available? I.e. from AnnData to pandas DataFrame (adata.X + var_names and obs_names). I wrote some helper functions for that but I'd like to know if it's implemented directly into AnnData.
Thanks anyway.
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Initialization from DataFrames is now in v0.6.11.
Yes, we can think about a .to_df
soon. If you want to make a pull request, that's welcome, too.
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Thanks.
I put a draft in #68
Let me know your comments.
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Related Issues (20)
- 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
- memory usage of concat HOT 3
- Using `Pint` for units HOT 9
- UMAP of gene subset of adata HOT 2
- Error using sc.pl.stacked_violin HOT 1
- NotImplementedError with concat_on_disk
- Issue when setting anndata.X to numpy array HOT 3
- Does anndata.raw can be automatically modified after define it?
- Make the call to `_check_uniqueness()` optional in `_init_as_actual()` (and `__init__()`) HOT 1
- `concat_on_disk` outer join
- `concat_on_disk` merge strategies are untested/not implemented
- Potentially flaky benchmark HOT 2
- Reading Anndata from only parts of h5ad file: Hack solution HOT 8
- 2D indexing (no “:”) in `sparse_dataset` is not lazy HOT 7
- Set of categories changes when slicing AnnData, but not when slicing DataFrame HOT 1
- Gpu failing because of `cp.full` with `np.nan`
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