scv.pl.proportions - percentage labels in the bar chart do not match bars when the clusters start on 1 instead of 0.

[wendelljpereira]

Dear scvelo team,

Thank you very much for generating this great tool.

I believe I found a minor bug on scv.pl.proportions.

I have 29 clusters stored as categorical values from 1 to 29.

adata.obs["seurat_clusters"]

Returns:

Name: seurat_clusters, Length: 36868, dtype: category
Categories (29, int64): [1, 2, 3, 4, ..., 26, 27, 28, 29]

When running :

scv.pl.proportions(adata, groupby='seurat_clusters')

I get the attached plot:

Note that the last bar does not have a label, and the order of the bars' labels seems to be wrong by one. For example, the label of the bar representing cluster 17 is on the bar of cluster 16.

Could you please let me know if this is a bug or if I need to change something in my code?

Best Regards,
Wendell

Versions

scv.logging.print_versions()
OMP: Info #276: omp_set_nested routine deprecated, please use omp_set_max_active_levels instead.
scvelo==0.2.5  scanpy==1.9.3  anndata==0.9.1  loompy==3.0.7  numpy==1.24.4  scipy==1.11.0  matplotlib==3.7.1  sklearn==1.2.2  pandas==2.0.2  
ERROR: XMLRPC request failed [code: -32500]
RuntimeError: PyPI no longer supports 'pip search' (or XML-RPC search). Please use https://pypi.org/search (via a browser) instead. See https://warehouse.pypa.io/api-reference/xml-rpc.html#deprecated-methods for more information.

[wendelljpereira]

If someone else has the same issue, you can save the image as an SVG file, then rearrange the labels using an image editor such as Illustrator or Inkscape.

The missing label is overlapped with the first box on the top right side of the image.

Hopefully, this will be an easy bug to fix.

Best Regards,
Wendell