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Please describe your wishes and possible alternatives to achieve the desired result.
I just had something similiar to this happen:
import scanpy as sc, anndata as ad
print(sc.__version__, ad.__version__)
>1.9.6 0.10.4
pbmc = sc.datasets.pbmc68k_reduced()
pbmc1 = pbmc[:,:300].copy()
pbmc2 = pbmc[:,300:].copy()
pbmc1.layers["test"] = pbmc1.X.copy()
joined = ad.concat([pbmc1, pbmc2], join="outer",axis=1)
>IndexError: indices are out-of-bounds
And it took me a while to figure out that the problem was the outer join in combination with the layer mismatch.
Would it be possible to warn the user, that that is the problem?
The text was updated successfully, but these errors were encountered:
Please describe your wishes and possible alternatives to achieve the desired result.
I just had something similiar to this happen:
And it took me a while to figure out that the problem was the outer join in combination with the layer mismatch.
Would it be possible to warn the user, that that is the problem?
The text was updated successfully, but these errors were encountered: