Karin Hrovatin
Karin Hrovatin
This occurs for me when I have only categorical covariates but usually not if I have continuous covariates.
Duplicate of #186
This is solved for me by replacing my 1-feature (gene) adata_iir with 2 feature adata_temp. ``` print('Original adata shape:',adata_iir.shape) adata_temp=anndata.concat([adata_iir,adata_iir],axis=1) adata_temp.var_names_make_unique() print('Modified adata shape:',adata_temp.shape) Original adata shape: (24162, 1) Modified...
But I still have the problem that coef_sd == 2.222759e-162 so I can not do anything with this result.
The same thing is written for multiple tests. I think it may need to be corrected for all of them, but not sure. - This may depend on one of...
At the end I just corrected the individual doc strings to keep doc formatting consitent across the params of functions. Should be in #192
Solves #775
@Zethson added test
Yes, it was mistake from my side to put one-d array (forgot to reshape it). But I got no warning when I made adata and then just by chance figured...
Do this in one terminal/notebook: ```py >>> import anndata >>> import scanpy as sc >>> import os >>> import pandas as pd # Make the file >>> a=anndata.AnnData(pd.DataFrame([[1,2],[3,4]])) >>> a.write('temp.h5ad')...