output umap clusters (label, features and cluster id)

[dgcovell]

This is not a legitimate 'issue', rather a request for more information from umap results. I scanned the past issues and could find #1041 and #938 as somewhat relevant, but not exactly. If possible, using any example, except for the dynamic cases, could code be provided to generate umap clusters from the raw data. This should include all the labels and features (as well as latent space (coordinates??)). This may already be in the existing examples, but I am not finding it. If it is, please comment where.

Thanks,
BTW, as you know, umap results represent strong competition for existing tensor flow utilities.

[dgcovell]

For example:
umap.plot.points(mapper, labels=pendigits.target)

yields an embedding scatter plot. How do I associate these labels with mapper.embedding_ and export three columns to an excel file? So far I can get only the two column embeddings.

df = pd.DataFrame(mapper.embedding_)
df.to_excel('mapper_embeddings.xlsx')