Clustergram has too much whitespace when "cluster" option is None

[adkinsrs]

Describe the bug When the "cluster" option for dashbio.Clustergram() is "all", "row", or "col" the dendrograms show correctly and the subplot for the missing dendrogram is properly constrained. However if one wishes to not do clustering (such as passing None to that option), there is whitespace where the row and column dendrograms should be.

To Reproduce Steps to reproduce the behavior:

• dashbio.Clustergram(data, cluster=None, <other_opts>) Am happy to provide more info if necessary on this. In my app, I have checkboxes to determine if columns or rows should be clustered, and if the data should be transposed (axes flipped)

Expected behavior In my opinion, if a dendrogram is not to be computed on both rows and columns, then the domains for those subplot axes should be constrained to [0,0] or [1,1]. It seems that if either row dendros or column dendros are missing, then that particular axis's domain is constrained correctly.

Screenshots If applicable, add screenshots to help explain the issue.

Correct dendrogram axes domains

Incorrect dendrogram axis domains

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Python version: 3.9.9 Python environment (via Docker) - am happy to provide a pip freeze if necessary scanpy==1.8.2

pandas==1.0.4

pandas==1.3.4 numba==0.50.1 llvmlite==0.33.0rc1 # For numba

numpy==1.18.5

numpy==1.19.3 jupyter==1.0.0 xlrd==1.2.0 requests==2.23.0 plotly==4.14.3 kaleido==0.2.1 dash-bio==0.6.1 MulticoreTSNE==0.1 Pillow==7.1.1 biopython==1.76 biocode==0.9.0 python-dotenv==0.14.0 Flask==1.1.2 mysql-connector-python==8.0.12 SQLAlchemy==1.2.12 Flask-RESTful==0.3.8 mod-wsgi==4.9.0

opencv-python==4.1.1.26

opencv-python==4.5.4.60 anndata==0.7.8 h5py==2.10.0

Additional context I coded a fix for my immediate need as follows:

# For reference, I have checkbox for the user to cluster columns or rows (cluster_genes, cluster_obs)
# This is a situation where the user did not check either box
            if not (cluster_genes or cluster_obs):
                fig.layout["xaxis4"]["domain"] = [0,0]
                fig.layout["xaxis5"]["domain"] = [0,0.95]
                fig.layout["yaxis2"]["domain"] = [1,1]
                fig.layout["yaxis5"]["domain"] = [0,1]