Manipulation

set_obs_names	Sets a column as the new first column of obs, i.e. the obs_names.
set_var_names	Sets a column as the new first column of var, i.e. the var_names.
set_num_threads	Return a new Pseudobulk dataset with a different default number of threads.
filter_obs	Equivalent to df.filter() from polars, but applied to both obs and X for each cell type.
filter_var	Equivalent to df.filter() from polars, but applied to both var and X for each cell type.
select_obs	Equivalent to df.select() from polars, but applied to each cell type's obs.
select_var	Equivalent to df.select() from polars, but applied to each cell type's var.
select_cell_types	Create a new Pseudobulk dataset subset to the cell type(s) in cell_types and more_cell_types.
with_columns_obs	Equivalent to df.with_columns() from polars, but applied to each cell type's obs.
with_columns_var	Equivalent to df.with_columns() rom polars, but applied to each cell type's var.
drop_obs	Create a new Pseudobulk dataset with columns and more_columns removed from obs.
drop_var	Create a new Pseudobulk dataset with columns and more_columns removed from var.
drop_cell_types	Create a new Pseudobulk dataset with cell_types and more_cell_types removed.
rename_obs	Create a new Pseudobulk dataset with column(s) of obs renamed for each cell type.
rename_var	Create a new Pseudobulk dataset with column(s) of var renamed for each cell type.
rename_cell_types	Create a new Pseudobulk dataset with cell type(s) renamed.
cast_X	Cast each cell type's X to the specified data type.
cast_obs	Cast column(s) of each cell type's obs to the specified data type(s).
cast_var	Cast column(s) of each cell type's var to the specified data type(s).
join_obs	Left-join each cell type's obs with another DataFrame, using the same logic as df.join().
join_var	Left-join each cell type's var with another DataFrame, using the same logic as df.join().
subsample_obs	Subsample a specific number or fraction of samples.
subsample_var	Subsample a specific number or fraction of genes.
split_by_cell_type	Split this Pseudobulk dataset into a tuple of Pseudobulk datasets with one cell type each.
concat_obs	Concatenate one or more other Pseudobulk datasets with this one, sample-wise.
concat_var	Concatenate one or more other Pseudobulk datasets with this one, gene-wise.
copy	Make a copy of this Pseudobulk dataset.
to_df	Convert this Pseudobulk object to a polars DataFrame, with one row per (sample, cell type) pair and one column per gene.
map_X	Apply a function to each cell type's X.
map_obs	Apply a function to each cell type's obs.
map_var	Apply a function to each cell type's var.
pipe	Apply a function to a Pseudobulk dataset.
pipe_X	Apply a function to a Pseudobulk dataset's X.
pipe_obs	Apply a function to a Pseudobulk dataset's obs.
pipe_var	Apply a function to a Pseudobulk dataset's var.